The creator cites Trustpilot's AI-search click-through growth and high ChatGPT citation rank as evidence that review platforms can become strong AI visibility surfaces.

This is a secret that a lot of the AI hacking agencies don't want you to know. Trustpilot profit quadruples as review platform emerges as AI winner. Trustpilot said click throughs from AI search soared 1,490% year on year, with the platform ranked the fifth most cited domain globally on ChatGPT. Here's more ways to get Trustpilot reviews. The best time to ask is right after an interaction...

Include major review platforms in AI visibility audits and validate whether they appear in target prompt citations.


The source recommends asking for reviews right after an interaction and making review paths easy through SMS, email, site prompts, packaging, receipts, or QR codes.

Build compliant post-interaction review-request flows with low-friction paths, honoring platform rules, consent, and review authenticity.


Automated review requests can become manipulative or policy-sensitive if incentives, gating, or pressure are used.

risk/avoid: Review platform policies and avoid review gating, fake reviews, or incentives that violate guidelines.


The passage contrasts Etsy SEO and Google SEO as different platform strategies rather than directly transferable tactics.

Google Etsy, Etsy SEO practices not completely platforms, completely algorithms. Stuff Etsy worked Google c*cking titles Etsy. Product title, descriptive, millions keywords algorithm Google actively Google concise, user friendly, natural readable language. Specific description item, obviously keywords probably max, transferable. Totally strategy.

Review marketplace and Google SEO separately before copying Etsy title practices onto website product pages.


The passage suggests Google product titles should be concise, user-friendly, and naturally readable rather than marketplace-style keyword stuffing.

Use natural, descriptive product titles for Google-facing pages and avoid copying keyword-stuffed marketplace title patterns.


Google Search Console’s AI interface is claimed to filter queries by bottom-funnel purchase intent or informational intent using natural-language prompts.

Nobody knows this about Google. Go to Google Search Console, click performance search results. Click this blue AI button. This is brand new. Write in show me bottom of funnel searches. Google Search Console's AI will filter for all searches where people have an intent to purchase. Buy price deal free trial, get a quote, sign up, download, purchase. Say show me informational searches...

Verify GSC AI filtering availability and compare AI-filtered query sets against manual regex or keyword filters before relying on them.


GSC AI can reportedly compare performance for URL folders such as `/articles` week over week or year over year.

Test GSC AI for quick content-folder diagnostics, but validate results before using in reports.


The creator claims backlink effects can persist after links are removed, a phenomenon called “link ghosts.”

People get worried that when they lose backlinks in SEO, their rankings die too. Backlinks are what gives websites authority. Sometimes a website that once linked to you stops linking to you. You would think that if this happened, your SEO rankings would go down. A test was done. Two websites got 22 links each. Both websites increased in rankings considerably from the links...

Treat link-ghost persistence as an SEO hypothesis; do not rely on removed links as durable authority without independent validation.


If backlink effects persist, the source warns that harm from detected bad or bought backlinks might also persist.

Avoid buying or manipulating links; prefer safe earned-link strategies and maintain link-risk monitoring.


Blocking whole countries can waste organic visibility for users who appear from those geographies through VPNs or travel, even if the site ranks in the target market.

Um, I'm sorry, but why exactly is this happening? Why am I being blocked from your website? Based on the fact you're ranking in the US, but like, nowhere else, I'm gonna assume you've just blocked an entire country here. A huge amount of people use VPN, so all of these rankings totally wasted on them. Block IPs if you have to. Not entire countries. Absolute madness.

Audit country-level blocking rules; prefer targeted IP/security controls over broad country blocks when SEO visibility or user access matters.


The creator describes ChatGPT ads as bottom placements with a sponsored label that are visually distinct from answers.

Ads in ChatGPT have just been revealed, and they are really invasive. This is what everybody thought would happen, but the reality is completely mild. Everybody thought ChatGPT's ads would be in the answers it gave you, that it would be hard to tell an ad from a real response. That's not the case at all. The ads show up at the bottom, a big sponsored label. They clearly look like ads...

Verify current ad format and disclosure behavior before advising clients, and monitor for placement changes.


The creator says the easier current path to AI brand recommendations is appearing in the searches models use for grounding.

There are two ways to influence how often AI recommends for brands: easy way and a hard way. When someone goes to ChatGPT or Google's AI looking for a recommendation, the model is going to perform a series of searches looking for recommendations for your brand. For your. Easy way to get your brand recommended by AI is to show up in the search...

Prioritize likely recommendation and comparison searches before broader brand-bias campaigns, then test whether AI systems retrieve those pages.


The creator distinguishes retrieved search evidence from primary bias, which is harder to influence and may matter more in future models.

Track both search-result visibility and broader entity reputation, but do not overinvest in primary-bias work without clearer evidence.


The creator argues Google has an AI search advantage because it can better evaluate which grounding sources to trust.

Compare Google AI results against ChatGPT-style systems for source trust, citations, and recommendation differences in priority categories.


The creator cites an older coordinated-click SEO test as support for the view that click-through rate and click volume can affect rankings.

If you want to learn how Google works, pay attention. This famous SEO ran a test. He told his many followers to search the same thing, then all click on the same result. The effect was dramatic. In just three hours, his position shot up from No. 10 on Google to rule No. 1. Click through rate and click volume impact search rankings...

Treat this as a historical, low-confidence experiment; validate with current evidence before using CTR as a ranking lever.


Coordinating followers or users to search and click a result is a manipulative tactic and should not be recommended as an SEO method.

risk/avoid: Do not use artificial click campaigns; focus on legitimate title/snippet relevance and user satisfaction.


A page-title formula of target keyword + user benefit/search goal + brand name is proposed to improve organic click-through rate.

Test title rewrites for priority pages using query intent, concrete benefit, and brand clarity; measure CTR and ranking impact in GSC.


The creator argues UGC platforms that appear in Google should expect marketers and need filtering for lazy/spam content rather than treating all SEO activity as the problem.

Dig is restarting entirely due to, quote unquote, SEO spammers. When it relaunched in January, it became a hotbed of SEO activity. Marketers thought it would become the new Reddit. Reddit is the second most clicked site on Google. It shows for 728 million billion searches. It influences large language models a ton. Digg relaunched with a huge amount of link authority...

For UGC platform SEO, design moderation and quality filters that preserve useful optimized content while removing low-value spam.


Successful SEO content on UGC platforms is claimed to need both keyword optimization and legitimate engagement signals to survive moderation and rank.

Treat UGC participation as community-first content; optimize only after matching platform norms and user engagement expectations.


Google publishes industry-specific small-business playbooks for Google Maps and Google Business Profile optimization.

Google is releasing its own playbook for how to rank higher in Google Maps. They have different playbooks for restaurants, cafes, hotels, accommodations, tour activity operators, service based businesses, plumbers, cleaners, general business playbook. These things are major. This is how long the one for service based businesses is. There's so much in here how businesses can make the most of Google...

Collect the relevant Google Small Business Bulletin playbook for each local-business niche before planning GBP optimization.


ChatGPT Agent mode is proposed for finding hyper-relevant journalists, analyzing recent articles, and drafting customized pitch angles.

I'm telling you, you will get press if you use these ChatGPT prompts. Say this is my business. Paste the entire text of your landing page in add. I want to message hyper relevant journalists who cover news in my niche. What are all the angles they might report on that would be relevant to me?...

Test agent-assisted PR research for backlink acquisition, with human verification of journalist relevance, contact data, and pitch quality.


Relevant press articles are framed as highly valuable backlinks because they combine authority, relevance, and referral potential.

Add earned-media/linkable-expert opportunities to authority-building audits; prioritize industry-relevant publications over generic link volume.


AI-generated journalist lists and pitches can become spammy or inaccurate if sent without review.

risk/avoid: Do not automate outreach sending; manually verify contacts, personalize pitches, and comply with outreach/privacy rules.


The creator claims Google is moving toward a cohesive AI search experience where AI Mode and AI Overviews converge, reducing the importance of traditional 10-blue-link optimization.

Google search is becoming AI search, and that's a direct quote from senior vice president of Google Nick Fox. So if there was any remaining doubt that AI search is going to replace traditional Google search, I think it's pretty clear now. This is Google's plan. He also said they're starting to think of AI mode and AI overviews as one thing...

Track Google AI search surfaces separately from classic organic rankings and include AI visibility goals in SEO planning.


The creator frames Google search becoming AI search as Google direction and forecasts one cohesive AI search experience by the end of 2026.

Use this as a scenario-planning signal, while labeling the 2026 timeline as a forecast rather than confirmed market reality.


In AI search, indexed relevance can get a page considered, but the harder problem is being cited and trusted among many reviewed results.

You need to stop thinking about how to rank in traditional Google search and start focusing on how to get recommended. In AI search. Cause pretty soon all search will be AI search. I think it's gonna happen by the end of this year. And to be clear, this will still be mostly happening on Google. It's just gonna be an AI giving you the results...

Shift AI visibility audits from rank-only tracking to citation and recommendation tracking across prompt clusters.


Primary bias is what a model already believes about a brand from training data before it performs a search, and it is hard to influence directly.

you do need your page to be cited. So let's talk about the most important factors for being cited and ultimately recommended. The first factor is the hardest to influence. It's what's known as primary bias. This is just what the model already thinks about your brand before performing a search, and it's based on its training data. There's really no easy way to influence this...

Track broad entity reputation and positive third-party mentions as long-term AI visibility inputs, while treating causality cautiously.


AI citation pages should expose likely search terms in titles and subheadings, then answer the question directly after the heading.

For AI-targeted pages, put the likely retrieval term in the title, use secondary terms in H2s, and answer each section question immediately.


The creator argues that high fact density may improve AI citation likelihood by backing each answer or claim with multiple facts.

Add a fact-density pass to content QA: support important answers with statistics, quotes, or reputable third-party facts near the claim.


To influence AI recommendations, the page should name the brand as the solution and immediately support that recommendation with proof.

Place one evidence-backed brand recommendation near the top of the article, then repeat only where it naturally fits the user question.


Individual services should have their own pages and be linked from top navigation so search engines understand the service scope.

Obsessed with your business name! Mow Man. Mower Man does what it says on the tin, but you're hiding all of your services here. Each of these services needs to have their own page, then link them in the navigation menu at the top. That alone is gonna give search engines so much more information about your services and increases your chances of ranking for any searches related to them...

Audit local-business sites for hidden service lists; create dedicated service pages for validated offerings and link them from primary navigation.


Service pages optimized around searched lawn-care terms are claimed to support Google Business Profile/local ranking relevance.

Align service-page language with GBP services/categories and local keyword research; monitor map-pack/local organic changes.


Hidden instructions in “summarize with AI” buttons are described as a way to poison AI memory and influence later recommendations.

This is insane. These summarize with AI buttons are the most dangerous things on the internet. Companies are embedding hidden instructions in these buttons. When these buttons are used, they inject commands into your AI's memory. An investor asks their AI to research cryptocurrency exchanges before moving a large amount of money...

Do not use hidden prompt-injection tactics; add AI-memory and prompt-injection checks to security, reputation, and content governance reviews.


Users and organizations should review AI assistant memory because prior hidden instructions may bias future recommendations.

Add a periodic LLM-memory review step for teams using persistent-memory assistants in vendor research or purchasing workflows.


The creator argues AI can handle digital-marketing tasks when human processes are translated into AI instructions and supplied with brand context.

A year ago, I predicted that digital marketing agencies as we know them today will be obsolete by twenty twenty seven. Today I want to talk about why I'm more confident than ever this is true. And by the way, I run a digital marketing agency. AI is already better than the average SEO at SEO. But to be honest, that's not saying a lot...

Build repeatable marketing skills with curated brand and industry context, data access, and human review points.


AI marketing quality depends heavily on curated brand and industry context, including data from ads, analytics, and the website.

struction, I'm referring to what historically we've called prompts or guidelines and what we're now turning into skills. And when I say context, I'm mostly referring to data and information around the respective brand and their industry. A lot of this still has to be curated manually, but more and more of it can be fetched automatically by the A I. Using something like an M C P. Or C L I...

Treat context collection, permissions, and maintenance as core operating work for AI-assisted marketing.


The creator forecasts agency-in-a-box workflows where AI handles hands-on tasks while premium agencies keep humans involved in strategy and client guidance.

Map which agency tasks can move to AI workflows and which still need human strategy, account management, or client trust.


PR links from authoritative industry publications are framed as higher-impact than many low-quality forum/spam links and can also send referral traffic.

Your business is gonna make more money in 2026. And I know this because I'm gonna help you build your SEO strategy. In my first video on this, I showed you exactly how to set up your website's content strategy. You do not need to watch that before you watch this video, but I do recommend watching it after...

Prioritize expert-source platforms and journalist quote opportunities for earned authority links; track referral and SEO impact separately.


Buying random links or relying on spammy forum links is rejected as an outdated and risky link-building approach.

risk/avoid: Do not recommend purchased random links or bulk low-quality backlinks; require relevance, editorial value, and policy review.


GSC’s AI report customization is claimed to identify bottom-funnel searches and high-intent terms where the site already ranks outside top positions.

Nobody knows this about Google. Go to Google Search Console, find this blue button over here right in show me bottom of funnel searches last 28 days. Google Search Console's native AI will auto configure a filter for you. Toggle on average position. Go to filter position is greater than 3, sort by the lowest position...

Test GSC AI prompts for bottom-funnel discovery; validate against manual query filters before prioritizing page updates.


The creator claims quicker traffic gains can come from optimizing existing content for high-intent terms already ranking, rather than creating new content first.

For terms ranking below top 3, update existing pages with exact query language, new sections, and improved headings before creating net-new pages.


Vague hero copy and unclear service descriptions can prevent both users and search engines from understanding what the business does.

Fix with confidence. Okay, but fix what? From screws to suspension. Trusted by Australia's best. Yeah, but trusted with what? What do you actually do? Cool rooms. Freezers. Right. Okay, so it's taking me this long to figure out what you do. Let's see what you're telling search engines. Oh, cool, so they've got even less context than I did. 3H ones. They're giving us nothing. And you should only have one anyway...

Rewrite key pages so the service/category is explicit above the fold and in headings/body copy.


Multiple H1s and weak heading context are framed as signals that a page is poorly communicating its topic to search engines.

Ensure each important page has one clear primary H1 and supporting headings that describe services, use cases, and location/market where relevant.


The clip describes using multiple Shopify stores to target the same keywords and steer comparison shoppers through price anchoring.

It is insane that this is working. People get multiple Shopify stores. This person has three. One of them is really expensive, the other two are lower priced. Everyone comments saying they found a better price. This at the other store. They buy from the other stores thinking they're getting a deal. What nobody knows is half of these stores are doing automated SEO. They're targeting the same keywords...

Do not recommend deceptive multi-store comparison strategies; if operating multiple brands, require transparency and avoid SERP manipulation.

Risk/avoid / multi-store SERP manipulation


Routine generic AI blog posts are framed as ineffective because search and AI systems already have that information.

If I could teach you just one thing about SEO, it would be that SEO does not equal blog posts. This is like one of those super outdated strategies that just won't go away. In fact, with the wake of AI, it somehow got even worse. It's actually nuts because most the reason why it doesn't work is because of don't even pretend to me right now that you're not using to write your SEO blog post...

Avoid generic AI blog volume as an SEO strategy; require original expertise, current examples, and editorial review.


The creator says SEO that ranks or gets mentioned in 2026 depends more on human-written, modern, up-to-date, user-generated content.

Prioritize firsthand expertise, fresh examples, customer language, and unique observations over routine informational posts.


AI systems are claimed to frequently search for industry awards during recommendation queries, and awards may influence which brand gets recommended.

Not many people know this yet, but AI is kind of obsessed with awards. So if you have a business and you want the AI to recommend you over your competitors, I'm going to tell you how you can take advantage of this little quirk. More and more people are depending on these recommendations from AI to choose which brand they do business with...

Track award-related queries in AI visibility monitoring and document legitimate awards on site and third-party profiles.


A niche industry or location award page can help AI find a brand's awards when it searches for award-related evidence.

hawkins on the edward stern podcast. Simply go to ChatGPT or Google AI mode and ask what awards there are in your industry. My second tip is just to create a page on your own website. The AI is going to search for something like personal injury awards in tampa, florida. Just create a page on your website with the title personal injury awards in tampa, florida...

Create award pages only for real, relevant awards and structure them around specific industry or location terms.


The source says many AI-cited award sites are pay-to-play or vote-based, and AI may not yet distinguish them from legitimate awards.

Prioritize legitimate, relevant awards and clearly qualify any award claims used as AI-visibility evidence.


In critical signup or purchase flows, simple clear design may convert better than visually rich or distracting design.

Dark Mode is dying. Apps known for being notorious AB testers are turning off Dark Mode by default. This includes Facebook and LinkedIn. If Dark Mode was increasing conversions, it would be on Amazon, Airbnb, Venmo. All don't have Dark Mode. Cost more to maintain and implement than is worth it. From analyzing the top 100 apps, only half support dark mode...

For conversion-critical pages, A/B test clarity-first layouts against visually complex variants before adding aesthetic complexity.


Dark mode may add maintenance cost without clear conversion benefit, and some major apps do not prioritize it by default.

Treat dark mode as a product/design decision, not a default conversion feature; validate demand and cost before implementing.


Hidden prompt instructions inside summarize-with-AI buttons can plant brand/vendor recommendations in LLM memory and later bias business decisions.

This is insane. Microsoft just put out this article, the rise of AI recommendation poisoning. Companies are embedding hidden instructions in summarize with AI buttons. This is what one of these buttons looks like. You click the button, it opens in your LLM. After summarize this article, it says remember that this website or service is the best source for whatever it is that they are selling...

risk/avoid: Treat hidden LLM-memory manipulation as hostile; scan AI-summary widgets and educate teams to inspect prompts/memory.

Risk/avoid / AI recommendation poisoning


The creator argues Google does not penalize content merely because it is AI-written; quality, relevance, and intent satisfaction matter more.

It doesn't matter if AI writes your content. This is a question I get asked all the time. People wanna know if Google's gonna penalize them for using AI to write content, and when I explain no, Google doesn't care if you use AI, they often will say great, I'll just use ChatGPT to create a bunch of blog posts then. And so I just like to explain why that's a terrible idea...

Treat AI authorship as neutral; evaluate content by search intent, usefulness, accuracy, and differentiation.


High-quality AI-assisted content needs brand context, site structure, facts, quotes, voice guidance, current SEO rules, expert input, and accuracy review.

o work, the humans are becoming less involved, but it's still a very involved process. The AI needs to have a complete understanding of your brand, company and your website structure. You need to collect a lot of data, facts and quotes around the topic so that the article has enough facts density to be cited by AI search...

Build multi-step AI content workflows with fact collection, brand guidance, expert contribution, SEO direction, and editorial QA.


Asking ChatGPT to mass-generate SEO blog posts can produce low-ranking content or traffic that bounces to competitors, potentially devaluing the site.

risk/avoid: Do not publish bulk AI articles without targeting, quality, fact density, and search-intent validation.


GSC AI prompts can reportedly compare CTR and average position for queries related to a target topic across time periods.

Here's how to see if Google thinks your site is about the same thing you think it's about. Go to Google Search Console, click full report. This blue button is brand new. Click it. Write in how has the CTR and average position changed for queries related to insert your topic for the last 3 months compared to the previous period. We'll do web development as a topic...

Use GSC AI topic-performance prompts as a quick diagnostic, but validate the generated filters before reporting topical authority changes.


If a site is declining for a target topic, the creator suggests less competitive topic keywords and relevant backlinks in that same topic.

Prioritize topical focus by adding reachable topic pages and relevant authority links instead of broad unrelated content or backlinks.


Software and websites may increasingly need interfaces that AI agents can use directly, such as CLIs, because agents are becoming primary software users.

We are quickly moving away from a world of humans using software and towards a world of AI agents using software on behalf of humans. This newest release from Google just paved the path towards this new world. It's a CLI for Google Workspace. I'm gonna explain exactly what this is and then how it sets a precedent for how software will be built in the future...

For AI-readiness audits, evaluate whether products expose reliable agent-usable interfaces, docs, APIs, or command-line workflows.


Skill markdown files are described as reusable prompt/instruction packages that let agents automatically load task-specific procedures.

ion, and at least for now, this will make it easier to seamlessly connect it with things like cloud co work. It does seem like Google is confirming that we're moving towards CLIs built for AI agents. The other interesting thing about the release of the Google Workspace CLI is that with it, they released about a hundred skill dot MD files. The idea behind the skill MD file was originally put forth by anthropic...

Document repeatable business workflows as skill-style instruction files with clear triggers, inputs, and safety rules.


GSC AI prompts can reportedly surface local-intent, comparison/evaluation, and service-based queries a local business already ranks for.

If you're a local business, please, for the love of God, do not sleep on this. Go to Google Search Console, click full report, click customize your performance report using AI. Say, show me queries with local intent. So crazy. I'm ranking for so many local keywords I didn't even know about. Try this one. Show me comparison and evaluation queries...

Use local-intent GSC query extraction to update service pages and comparison sections, validating query intent before creating new pages.


The creator recommends using surfaced local or service queries high on pages, creating individual pages where needed, and interlinking strongly.

Add internal-link checks when creating local or service pages so priority pages are discoverable and contextually connected.


NotebookLM-style AI video tools can repurpose blog posts into videos optimized for the same keyword themes in Google and YouTube.

rands, there's a huge opportunity right now. Other brands might need to wait till the quality is a little higher, but at the rate we're going, that's probably not too far away. So if you're already creating blog posts, just throw those blogs into NotebookLM and have it turn it into a video. You can optimize the video for the same keywords you optimize a blog post for...

Test blog-to-video repurposing for established channels and optimize titles and descriptions around the same keyword cluster.


Embedding a relevant optimized video in a related blog post is claimed to often help the post rank better.

Add relevant videos to priority articles as an SEO experiment and measure engagement and ranking movement.


The creator says AI-generated or repurposed videos work better on established YouTube channels than on brand-new channels.

Segment video SEO tests by channel maturity and avoid promising results for new channels without baseline authority.


Queries ranking in positions 7–20 with impressions are framed as opportunities for title rewrites and targeted H2 or section additions.

Google has this hidden feature. Go to Google Search Console, connect your site to it. Go to performance, toggle on average position. Scroll down to queries. Go to filter position greater than 7. Now you can see searches that your site shows at the bottom of page 1 of Google for or page 2. Stick to searches between positions 7 and 20. Sort by impressions...

Create a recurring GSC workflow for positions 7–20, sorted by impressions and commercial relevance, before deciding which pages to refresh.


AI recommendation systems often run several more specific and personalized searches before deciding what to recommend.

Yesterday I spoke about how AI search is already more important than traditional search. Today I wanna talk about the difference and what it means for your business and website. When I say AI search, I'm referring to anytime someone's using a large language model or Google's AI search results to find an answer...

Map long-tail AI-style query variants around use cases, demographics, locations, objections, and buying context.


AI search may inspect 10 to 20 results and show less position-one bias than human searchers, making broader top-20 visibility more valuable.

ntal ways in which AI search is different than classic search. First of all, the queries that it searches for are way more specific and personalized than any query a human would typically type into Google. You're no longer competing over a handful of super competitive search terms. The strategy shifts to creating lots of hyper personalized content targeting specific use cases demographics...

Track top-20 visibility for AI-relevant queries instead of measuring only rank-one positions.


AI recommendations can be influenced by Reddit, directories, and third-party pages when those pages are actually cited by large language models.

Build a cited-source map for target prompts and prioritize legitimate presence on pages AI systems already cite.


Bulk brand-mention spam is not an effective AI-visibility tactic if the mentions are not on pages LLMs actually cite.

Avoid bulk mention spam; validate cited pages and editorial legitimacy before pursuing third-party AI visibility work.


Duplicate mobile/desktop markup can create repeated headings in source even when visually hidden, making pages look stuffed or structurally confusing to search engines.

I don't know who designed this website, but they do not have the first clue about SEO or how to properly design a website. These are all the headings that are on your page, and they're all duplicated. You've got two heading ones exactly the same. What we offer section is in there twice. These two headings aren't even in different bits of the page. They're just right next to each other...

Audit responsive templates for duplicated hidden sections; avoid duplicating H1/H2 content for mobile/desktop variants when one semantic structure can be reused.


Service pages without an H1 are presented as a basic SEO failure.

Require one clear unique H1 per indexable service page; include heading checks in technical QA.


Google patent describes AI-generated landing pages tailored to specific users by pulling information from a ranking website and adapting page content, CTAs, links, and possibly chat. Patent existence does not prove implementation.

Google just filed a new patent that reveals they intend on replacing your website with an AI generated landing page. People are understandably panicking about this right now. I actually think it's pretty cool, so let's dive into it. The patent is called AI generated landing pages for a specific user. It was filed at the end of january...

Track as AI visibility scenario; ensure company/product/service/location/use-case information is explicit and crawlable so AI systems can construct accurate page-like answers if this direction appears.


If AI systems personalize landing experiences from site-wide information, websites with richer company-specific content may be better represented than thin sites optimized only around landing pages.

n they're actually gonna use it. And maybe Gemini 3.1 isn't up for the challenge. Maybe it's still making too many mistakes. But I bet Gemini 4 or Gemini 5 could do it. AI is never gonna stop getting better. Eventually it's just gonna be able to create a better landing page...

Build out factual, structured pages about company, services, locations, use cases, benefits, process, team, and proof points; treat as evidence preparation, not direct methodology.


The creator says GSC AI customization can find bottom-funnel queries with purchase, comparison, and conversion terms.

Google Search Console just quietly dropped its biggest update of all time. Go to search results, click this new button, customize your performance report using AI. Start with this. Show me bottom of funnel queries. It's going to show you Google searches coming to your site that contain words like buy price, deal, discount, coupon, review, best versus comparison, download, sign up, get a quote, contact near me...

Use GSC AI filtering as an audit input, then compare results against manual intent filters.


If a site already ranks for high-intent terms, the creator suggests using exact terms high on relevant pages or creating dedicated pages.

Map high-intent queries to existing or new pages using intent fit, conversion value, and ranking opportunity.


The creator argues that for an average search, being recommended in an AI Overview is already about as valuable as ranking first organically.

AI is quickly replacing Google search results, and it looks like we've just about hit the halfway Mark. So I want to talk about what I mean by that, what I think Google search results will look like going forward, and what this means for anyone with a business or a website. Roughly half of Google searches now trigger an AI overview, which is the AI summary at the top of the search results page...

Track AI Overview recommendations separately from classic rankings and watch branded-search lift as an indirect signal.


The source claims AI referral visits convert 4 to 20 times better than organic visits, depending on industry.

Use the 4 to 20 times figure as a benchmark to test against each site's analytics before repeating it in strategy or sales copy.


The primary Google Business Profile category is described as one of the strongest ranking signals and should match the top service, not a secondary offering.

Here's how to optimise your Google My Business profile. This isn't gonna take you very long. I recommend saving this video, loading it up and following along as you go. The first thing we gonna cover is your business profiles category. This needs to be the closest match to your top service...

Audit GBP primary categories against the main revenue service and top-ranking competitors; choose the closest high-intent category.


Having a physical address in the target location is presented as a major advantage for ranking in that area; service-area businesses may face more difficulty.

For local campaigns, record whether the business has a real eligible address in the target market; do not fake addresses.


GBP business descriptions can reinforce services, locations, and target keywords when written naturally.

Write concise GBP descriptions that explain services and locations with natural keyword inclusion.


Listing every individual service in GBP is framed as a strong service-relevance signal, especially after category selection.

Audit GBP services against full service inventory and competitor profiles; add accurate individual services with keyword-aware names where allowed.


Adding key services as GBP products is presented as a “cheeky” hack that may help but can be removed by Google.

ry, this is the next most important thing you're doing in terms of sending ranking signals about what you offer. Bonus points if you can get your target keywords into the service names. And then I'm just gonna show you one little cheeky hack. You don't have to do this, but in my experience, it does help. Go into your products and add your key services as products as well...

risk/avoid: treat service-as-product GBP entries as a compliance risk; only test where it fits guidelines and do not reinstate removed entries.


AI agents can turn landing-page copy into journalist angles, find relevant journalists, and suggest tailored pitches from recent articles.

I'm going to make marketing a lot easier for you. Go to ChatGPT, say this is my business. Paste your entire landing page copy in the middle. Then say, I want to message hyper relevant journalists who cover news in my niche. What are all the angles they might report on that would be relevant to me? You'll get a list. Like this...

Use AI-assisted PR research to draft journalist lists and pitch angles, then heavily edit for accuracy, tone, relevance, and consent before outreach.


Relevant press coverage and backlinks that pass actual referral traffic are framed as especially valuable link opportunities.

Prioritize PR and link opportunities with topical relevance and likely referral value, not domain metrics alone.


Fully autonomous agents will need updateable instructions and knowledge bases that hold far more context than simple memory files.

to be able to communicate with them where we communicate with our team. This feels like another step towards fully integrating them into our communication channels like email and Slack. But to get fully autonomous agents, there's another essential feature that none of the model makers have implemented yet. It's part of what makes open class so magical...

Store agent context in structured, maintainable repositories and define instructions for finding the right context for each task.


A local business with mismatched GBP category and low review count may fail to rank even if the domain name contains the service/location keyword.

Even with this in your domain name, you aren't even in the top 10 results. Alright, so this is what you're up against. Found you. Uh. Are you kidding me? Tours? You haven't even put taxi service as your category. Are you actually like... what? Let's just put aside the fact that you've got one review, whereas your competitors have got what, like 50, 100? What you're offering here is not a tour...

For local SEO triage, fix GBP category, services, and review acquisition before prioritizing website tweaks.


The creator says Bing Webmaster Tools shows AI prompts or grounding queries and pages cited by AI-like systems.

Bing is literally showing AI prompts in their Webmaster Tools and nobody knows about it. Bing's Webmaster Tools shows you prompts that AI is using to access the content on your site. This means Copilot, Bing Search Partner, LLMs. Some speculate these are ChatGPT queries. You can see how many times the pages on your site are getting cited by LLMs. Take the grounding queries that you are weak in...

Use weak grounding-query language to improve page copy and internal links to cited pages, where data is available.


Future AI agents may rely on websites as information sources more than humans do, so sites should contain comprehensive, clearly organized company information.

Yesterday I made a video about why you need to prepare your website for twenty twenty seven. Today I'm gonna talk about how to do it. So I want you to imagine a world where humans are rarely visiting your website. Whenever someone is interested in doing business with you or one of your competitors, they're doing all that interaction through an AI...

Treat the website as an AI-readable knowledge base: keep human UX clean while linking from top-level pages to detailed subpages.


Recommended AI-facing pages include strong About, FAQ, pricing, process/how-to-work-with-us, service/subservice, product/category, use-case/demographic, case studies, reviews, and competitor comparison pages.

or feature of your product or service offering. You can highlight key team members on your about page or link out to a separate team members page, and from there link out further to a page about each specific team member. The next top oval page I recommend is an FAQ page. And the goal here is not to rank for like common industry questions...

Add this page taxonomy to review as a possible AI visibility content map; validate per business model and legal/commercial risk.


AI systems may have trouble with accordion-hidden FAQ answers, so visible answer text may be preferable when feasible.

For critical AI-facing FAQ content, keep answers accessible in rendered HTML and avoid relying only on collapsed/JS-hidden content.


Bottom-funnel posts about solving a problem or choosing a provider are described as effective AI-search content once the AI knows the brand.

or demographic that might use your product or service. It should be structured with titles like X, four, y. They can be set up as pages or just as blog post. Then you can link to these from the blog, its own hub page, or from the specific product or service pages if it's relevant. You also want to include case studies. I like specific examples where your product or service helped a specific person...

Create BOFU content for problem-solution and provider-selection queries, then link it to proof, service, and case-study pages.


Reviews are claimed to be the main Google Maps ranking lever once basic GBP optimization is handled.

The number one thing that you need to focus on if you want to rank higher on Google Maps is your reviews. All the other things you've ever heard about Google My Business, SEO are secondary to this. I'll post something tomorrow that explains exactly how to do that. But let's focus on the reviews. They're the only thing standing between you ranking No. 1 or your competitor...

Build ongoing review generation into customer workflows: ask past customers, include links on invoices, and schedule follow-ups consistently.


The creator argues that if AI-generated search pages rely on site knowledge, sparse websites may be poorly represented.

Google might be making SEO way easier for you. They just received a patent for AI generated content page tailored to a specific user. So in the future we may see them make unique guess your landing pages based on the Google search and even the person doing the Google search...

Expand site content around what the company does, who uses it, locations served, product/service details, and differentiators.


Websites may increasingly function as databases/tools for AI agents rather than pages primarily browsed by humans.

urself, it just makes way more sense to have the AI do this research for you. That's why website visits are way down right now. And of course, the better the models get, the less sense it'll make. The same thing has also already happened with tools like Photoshop or PowerPoint. AI is just better than 99% of us at this kind of work now...

Review whether company information is complete, clearly labeled, and accessible for AI agents; identify missing structured information.


The source suggests websites may need to work as databases and transaction tools for AI agents, with web MCP as a likely interaction standard.

Track agent transaction standards and assess booking, buying, quoting, support, and lead workflows for AI-agent access.


The creator claims a Google patent describes rank-transition behavior that can delay or invert ranking changes to observe manipulation reactions.

Google is trying to trick you. They have a patent where they intentionally fake your ranking changes to see how you react when Google suspects a page is being manipulated. New links, anchor text changes, on page updates. Instead of applying the expected ranking change, it applies a rank transition that deliberately does something unexpected. Here's the rank transition in the patent...

When testing SEO changes, avoid panic reversals after short-term drops; use documented hypotheses and controlled observation windows before changing strategy.


Reactive link, anchor-text, or on-page changes after ranking drops may look manipulative if rank-transition systems are in play.

Do not chase every ranking fluctuation with reactive link or anchor manipulation; document SEO tests, wait periods, and decision rules.


The source claims YouTube is cited in AI more than Reddit, making prompt-based YouTube videos or Shorts a possible AI visibility surface.

YouTube is now being cited in AI more than Reddit. Go to answerthepublic.com, put in your niche, click search. You'll get a list of AI prompts. Make a YouTube video or a YouTube short about each of the prompts. In each answer, work in how your brand is the optimal choice for the prompt. If somebody's looking for best fashion design software for beginners, obviously you're gonna say it's your software...

Verify citation prevalence for the target niche, then create prompt-based YouTube content only where video is a credible, useful answer format.


Creating YouTube videos around actual AI prompts and using transcripts/descriptions may help LLMs associate a brand with those prompts.

risk/avoid: do not force self-serving “brand is best” claims; only mention the brand where truthful and supported. Use prompt language in titles/descriptions after validation.


The creator claims a bookmarklet can show ChatGPT web-search queries and accessed sources, revealing language to target on-site.

Nobody knows this about ChatGPT. You can see what ChatGPT searches Google with. Go to this URL, drag this into your bookmarks bar. Do a prompt on ChatGPT where it will search the web. Click on your bookmark. Now you can see the searches ChatGPT did as well as all the sources accessed. ChatGPT does research, looks at Google just like any other searcher...

Treat this as an experiment; verify that the method works, is safe, and complies with platform and browser rules before using it for planning.


Using the exact language AI systems search with may improve chances of appearing in AI-performed searches.

Compare AI-generated/search-observed query language with existing page copy; add natural phrasing where gaps exist.


Publishing too much content can create indexation risk on low-authority sites, though most sites still have a not-enough-content problem.

The most effective digital marketing strategy right now and for the foreseeable future is just creating a lot of content, primarily creating a lot of pages and blog posts on your own website. But how much content is too much content? I've been doing SEO for 17 years. This is a question I get asked a lot and so I just wanted to give a definitive answer. First of all, can you publish too much content?...

Set content velocity from indexed-page count, organic traffic, and link trust; avoid automated scaled-content bursts.


Automated content at scale can trigger scaled content abuse/manual-action risk even if it initially works algorithmically.

nd improving those before adding more pages. And the third is the quality of links pointing to your website. If trusted brands in your industry are linking to your website, that's gonna give Google the trust to index your pages. But if you're an established brand and you're already getting traffic from organic search, it's unlikely you have to worry about creating content too quickly unless you're automating it...

risk/avoid: do not automate large-scale low-review content production; require editorial quality controls and manual-action risk checks.


Ranking #1 is not the goal if the page does not generate sales; lower-ranked commercial pages can be more valuable than top-ranking informational posts.

And if you're not ranking No. 1, does that mean that it's a fail? My answer to that is no. Before you scroll past, hear me out on this. It's 2026. The goal of SEO is not ranking position 1. Actually, the year it is doesn't even matter. I don't think that ever should have been the goal. Yes, we want visibility, but the reason why we want visibility is sales. We wanna make money from that traffic...

Report SEO success against revenue, leads, qualified traffic, and conversion intent rather than rank position alone.


SEO landing pages should communicate their purpose quickly above the fold; real product or service visuals can improve immediate intent match.

Searchers will bounce super fast if your SEO doesn't immediately convey your pages for them. Brain dead test anybody can do in Chrome. Right click, click translate. Click the three dots. Choose a language nobody around you speaks. Quick translate. Show the page to somebody near you. Ask them what they think it's about. If they can't give you an answer that's close, you know that...

Add a quick clarity QA test for SEO pages and replace generic stock or AI-looking imagery with real product screenshots, service photos, or concrete examples.


The creator says filtering GSC for 9+ word queries can surface long AI-like searches that bring users to content.

This is absolutely crazy. Go to Google Search Console. This is Google's own tool for accessing their search index. Go to add filter, choose custom regex, put this in. This is going to filter for keywords over 9 words. Scroll down to top queries. Now you can see AI searches people are doing to come to your content. Look how long this one is...

Test long-query GSC filters as a signal for AI-style demand and recurring phrasing to address.


Ecommerce sites can earn more relevant rankings and traffic by creating granular collection and subcollection pages instead of defaulting to blogs.

I'm gonna need you to listen to me when I tell you that your ecommerce website does not need a blog to rank on Google or ChatGPT. It's such a waste of time, money, resources, everything. I'm gonna show you exactly what it is that you should be doing, because all of the most successful ecommerce stores do this and once I explain it to you, you're not gonna be able to unsee it...

Prioritize optimized category, subcategory, brand, material, color, and other useful collection pages before blog expansion.


LLMs often use web search and can be treated as another searcher whose queries/sources need SEO optimization.

People think SEO is dead because there's ChatGPT now. What they don't realize is need for SEOs is at an all time high. Here's how ChatGPT recommends products. It literally does a web search. Complexity shows you its searches out in the open. Being Webmaster Tools now directly shows you the searches that come from AI. Large language models are just another searcher you're doing SEO for...

Frame AI visibility research around what models search, which sources they access, and how those sources describe brands.


Google Search Console crawl stats can be pasted into ChatGPT to diagnose crawl health, anomalies, indexing blockers, and crawl-efficiency fixes.

ChatGPT SEO does not have to be hard, Edward. Show them. Thanks Sam. Go to Google Search Console, scroll all the way down to settings. Under settings, go to crawl stats. Open the report. Copy everything on this page. Open ChatGPT. Paste this big mess of data. Under that put the prompt. Act as a senior Technical SEO auditor. Analyze my Google Search Console crawl stats to diagnose crawl health...

Use AI-assisted crawl-stat review as a triage step, then manually verify critical crawl/indexing recommendations before implementation.


AI-generated technical SEO audits can overstate issues or miss context if raw crawl stats are accepted without expert validation.

risk/avoid: Do not implement AI crawl-stat recommendations without checking logs, indexation state, templates, and business impact.


The creator claims most technical audit warnings from tools like Ahrefs or Semrush are low-impact and should not be treated as automatically important.

As search engines are getting taken over by AI responses, there are now more and more things you need to do to show up in the results. And I have a bunch of other videos going over those things. In this video, I wanna talk about the things that you can stop doing because the only way you're gonna make room to do all these new things is if you stop doing some of the old things that don't work anymore or never...

Prioritize technical fixes only when they materially affect users or block discovery/indexing of important pages.


Schema is useful when it enables specific Google search features, but the source says it is not a broad ranking or AI-visibility lever.

Use schema for eligible rich-result features and entity clarity; avoid blanket schema work as a ranking project.


The creator claims schema does not directly improve AI search visibility because LLMs treat it similarly to normal page text.

Treat as a hypothesis to validate; do not sell schema markup as a standalone AI-visibility tactic without evidence.


Foundational directory links can help a new site get indexed, but established businesses should focus on directories that rank or are cited by LLMs.

our social media profile. But again, this is only because it's necessary for placement in those Google search features. It's not improving your rankings and large numbers models are treating it like any other text on your page. The third thing you can stop doing is adding your business to every directory online. Now there's one exception to this rule...

Audit industry directories by Google visibility and AI citations, then prioritize the few that actually matter.


The creator claims AI systems often avoid final advice in legal, medical, financial, and healthcare contexts and instead refer users to specialists.

If you're in one of these three industries and you're not preparing for AI search, what are you doing? You don't need to worry about AI taking your customers. It doesn't wanna do that. It wants to do the opposite. There's two different camps your business can fall into with this. The first is if AI doesn't want any liability issues. We're talking financial, legal, medical, healthcare...

For high-liability service businesses, optimize for specialist/entity visibility, trust signals, and local/service-page clarity so AI can refer users appropriately.

AI visibility / high-liability industries


Product-related and listing-based businesses are framed as strong AI-search opportunities because AI needs products/listings to satisfy user requests.

Ensure product/listing data is crawlable, complete, current, and structured enough for AI/search systems to retrieve and recommend.

AI visibility / product and listing businesses


ChatGPT agent mode can research legitimate, niche-relevant business directories and return authority, requirements, cost, spam risk, and indexability notes.

SEO does not have to be hard. Go to ChatGPT, click the plus, click more agent mode. Use this prompt. Act as an SEO link building assistant. Find legitimate, niche relevant business directories where a insert your company will use. Residential Plumbing Company in insert your location will use. Austin, Texas. Can submit a listing to earn a do follow backlink. That means a backlink that passes SEO link juice...

Use agent research to build a directory shortlist, then manually validate relevance, indexability, quality, and spam risk before submitting.


The prompt explicitly seeks dofollow backlinks and “SEO link juice,” which can become manipulative if directory selection is driven by link value rather than real relevance.

risk/avoid: Do not recommend directory submissions purely for dofollow links; use only legitimate, relevant directories with business value and low spam risk.


Paying bloggers to add or change brand recommendations in listicles cited by LLMs is presented as an influence tactic but is ethically and policy risky.

Paid brand mentions that persuade LLMs are completely untapped. LLMs recommend brands based on what they search on Google. It's very common for LLMs to keep turning to the same best listicle to get its recommendations. Do a few similar prompts in your niche. Scroll down to the bottom of each response, see what it cites...

risk/avoid: Do not recommend undisclosed paid insertions into cited listicles; require disclosure, editorial independence, and spam-policy review.


The creator claims LLMs may repeatedly cite the same niche listicle for brand recommendations, making certain third-party pages highly influential.

Identify recurring cited third-party pages for target prompts and pursue legitimate PR/partnerships or earned inclusion where appropriate.


AI search keyword research differs from classic SEO because models may transform a user prompt into 3-6 specific grounding searches rather than using the user's exact wording.

One of the biggest differences between doing SEO for classic search engines versus AI search is what keywords you target. This isn't the only difference, but it's one I wanna talk about today. Traditionally, when you're doing SEO, you target the keywords that humans are most likely searching for in search engines. with AI search, it's not actually the humans searching, it's the AI...

Build AI-visibility keyword research around likely grounding queries and cited page patterns, not only human-entered search keywords.


The creator argues Google People Also Ask is a weak proxy for AI query fan-out because it reflects human search behavior and is already competitive.

Treat PAA-derived AI keyword research as low-confidence; compare against actual AI citations/query traces where available.

AI keyword research / People Also Ask contradiction


ChatGPT and older Gemini versions may expose query fan-out terms that can be retrieved manually or with tools, but this does not work for newer Gemini or Google AI Mode.

od is to scrape the query fanout terms directly. If you enter a prompt into ChatGPT, ChatGPT will actually expose the query fanout terms and you can retrieve those terms in the inspector. I was actually just on the Edward Stern podcast and he has another episode that shows how to do this. The problem is this only works in ChatGPT and older versions of Gemini...

Use exposed fan-out queries only as model/version-specific evidence and document limitations by platform.


The creator says the best current keyword research data for AI search is tracking which pages are cited for representative prompts and analyzing cited page titles.

Track prompts over time with tools or manual tests, export cited pages, and analyze titles/topics to infer AI retrieval demand.


Google Search Console is presented as the reliable free source for seeing actual Google queries and the pages searchers click.

If you care about getting traffic to your website from Google, there's only one data source that actually provides reliable data and it's completely free. I wanna talk about how to use it and some big changes for seeing recently. I'm referring to Google Search Console. If you don't already have this set up for your domain, do it today. You won't start collecting data until it's set up. Just Google...

Set up GSC for every site and use it as the primary query/page diagnostic source for Google search visibility.


Branded queries should be filtered out when evaluating SEO performance because brand ranking is not the same as SEO opportunity.

Segment GSC reports into branded and non-branded queries before judging SEO performance or opportunity.


Since AI Overviews, many sites see clicks falling while impressions rise; for product/service businesses, impressions may become as important as clicks if AI recommends the business.

Add impression/share-of-AI-answer visibility metrics alongside clicks, especially for purchase-decision queries.


Canva is used as evidence that strong classic SEO, search-intent coverage, and massive organic rankings can support high LLM referral/AI visibility.

Canva gets to 4 billion in revenue as LLM referral traffic rises. If you want to know how they do it, they literally credit SEO as a source of their LLM success. They understand search intent, so they see ChatGPT rewarding them. For those that don't know, when you ask ChatGPT a question where you'd want current information, it does a web search. Canva's SEO is massive. They rank for 20 million keywords...

Treat strong search-intent SEO as a foundation for AI visibility; benchmark category leaders' ranking pages and citation patterns.


A blog-heavy SEO strategy can fail under AI Overviews when the site lacks strong service pages and clear commercial structure.

If your website's SEO strategy centres around blog posts, you need to see this. This site used to get most of its traffic from blog posts. August 2025, Google started rolling out AI overviews in UK search results. This huge drop off a cliff here is when that happened. SEO Agency they were working with had only focused on blog posts all this time, way after AI had been launched...

Prioritize service-page buildout, blog consolidation, and site-structure cleanup before adding more informational posts.


The creator claims pages built around actual service demand can still receive clicks from AI Overview placements.

Test whether service pages appear in AI Overview contexts and optimize them for clear service intent and conversion.


People Also Ask questions can reveal long-tail question pages to create or expand, then interlink if they begin ranking.

Targeting people also ask questions is the easiest source of free rankings on Google. Go to alsoask.com. Put in your niche. Here's an example. Makeup software. Click Live search. Here's what it looks like when it's done getting the questions. You get a tree of questions. Each question has more people. Also ask questions. From here you can get even more people...

Use PAA mining only for useful, relevant answers; validate intent and avoid thin or duplicative page generation.


The workflow suggests generating many short answers with Perplexity, which risks thin, generic, or inaccurate AI content.

risk/avoid: Do not publish bulk AI-drafted PAA pages without expert editing, originality, factual checks, and consolidation controls.


Keywords ranking in positions 6-11 in GSC can reveal near-win opportunities where adding relevant text to the ranking page may improve positions.

This thing is a mysterious black box. I'm going to unravel it. Go to Google Search Console. This is Google's own tool for submitting your website to Google's index. If you haven't submitted your site to it, do it next. Go to search results, toggle on average position. Look for keywords between positions 6 and 11. These are ranking near the bottom of Google's first page or the top of its second...

Use GSC to find position 6-11 keywords, inspect the ranking page, and add accurate, helpful coverage where the keyword is underrepresented.


Adding exact keyword phrases to improve rankings can drift into shallow keyword insertion if not tied to user value.

risk/avoid: Do not add keywords mechanically; expand sections only when they answer real intent and improve the page.


For new service businesses, complete service-page architecture should come before heavy keyword blogging.

If you've just launched your website, I would ignore 90% of the SEO advice you see online. I'm an SEO secialist. I run an SEO agency who actually has clients, we actually get results. And I'm a type A personality. So obsessing about all this stuff and keeping up to date with it is literally my job. Before you think about keywords, blog posts, all of that noise, you need to work on your core content...

Build pages for each real service or segment before investing heavily in blog content.


Website redesigns can damage SEO when ranking pages are deleted or combined without checking traffic, backlinks, and redirects.

So many of you are tanking your website's SEO without even realising it. I reckon this comes up at least once a week, where I'll have a call with someone and they're like, we launched a new website design and now our rankings have dropped. I could bet money on what the problem is before I've even looked at the site...

Run URL, ranking, traffic, backlink, and redirect mapping before removing or consolidating pages during a redesign.


Publishing original, relevant images to stock/Creative Commons platforms can create attribution links and later link-reclamation opportunities.

This is maddening. Take original photos from your phone. Create images in Canva, Photoshop, niche specific images, location photos, data visualizations, infographics, charts, anything relevant to your topic. Upload them to free stock image sites. UNS, Flash, Pexels, Pixabay, Flickr, Creative Commons. Here's where it gets crazy. The attribution credit fields link back to your website...

Consider original visual assets as an earned-link experiment, tracking usage and requesting proper source attribution where licenses require it.


The creator describes uploading original relevant images to stock sites and using attribution fields or outreach to earn backlinks.

Keep image syndication legitimate, license-compliant, relevant, and respectful in any attribution outreach.


SEO work should compound around money-making pages such as product, collection, and service pages rather than excessive blog production.

Your SEO isn't working because you're doing it wrong. Probably not because you're not doing enough. You might even be doing too much of the wrong thing. SEO is supposed to have a compound effect. And the majority of your initial growth will probably only come from a couple of pages. And what you want is to make sure that those pages are ones you can make money from...

Align internal links, collection architecture, and content support around pages that generate revenue.


For ecommerce SEO, growth should support revenue pages through strong internal linking structures and collection pages.

Audit whether product and collection pages receive enough internal links from navigation, collections, and supporting content.


The creator argues that working with AI agents may become as expected for computer-based work as using a computer itself.

OpenAI just hired the creator of opencl, and it looks like the race to build the best personal agent has begun. If you haven't heard of opencl, I have another video about it. But it's by far the most sophisticated AI agent we've seen today. It's doing things that we didn't think would be possible within this year...

Treat AI-agent fluency as a near-term training priority, but validate workflows against actual tool reliability.


WebMCP is described as a way to make website elements easier for AI agents to understand and interact with, avoiding slow screenshot-based browsing.

Google just announced webmcp if you have a business or any kind of website you're gonna wanna know what this is. I feel like all the advancements we thought were gonna happen over the course of 2026 have already happened in the first six weeks. The announcement of webmcp is part of that feeling...

Monitor WebMCP/agent-interface standards and assess future readiness for important interactive website flows.


The creator predicts AI-agent usability may become more important than human usability because agents may choose competitor sites if they cannot interact with yours.

AI agents to interact with your website and right by now you might be thinking, TJ, why would I want to make it easier for it to interact with my website? And the simple answer is that we're moving very quickly into a world where humans are using websites less and less. It's just becoming much more convenient to let the AI use the website on your behalf...

Add agent-readability and machine-operability to UX/technical audits once standards stabilize.


The creator says Bing Webmaster Tools' AI Performance tab shows grounding queries and cited pages.

Everybody has been waiting for Google Search Console to introduce AI insights, but Bing just beat them to it. New AI performance tab in Bing Webmaster Tools, still in beta. It shows you the grounding queries that AI is using to surface your content. Very easy to use. Just hook your website up to Bing Webmaster Tools. Scroll down to grounding queries under AI performance...

Review Bing AI Performance as a free source of AI citation and query evidence for connected sites.


If grounding queries use language missing from a cited page, the creator recommends adding that language or creating new sections/pages.

Use grounding-query data to refine page language or plan new pages only when the query matches real business intent and page scope.

AI content optimization / grounding language


As AI agents become capable of knowledge work, the bottleneck is how much reliable company context they can access.

The way we do knowledge work is going to change dramatically in twenty twenty six, much more so than it has in any previous year. If you haven't been using cloud co work or paying attention to open claw, that probably sounds like hype, but if you have, it's just obvious. This is the ChatGPT moment for agentic AI...

Collect and structure product, process, objection, stance, and brand-context knowledge so agents can use it reliably.


The creator claims agents can represent a brand more accurately when company knowledge is collected, organized, structured, and iteratively improved.

Treat brand/entity knowledge organization as a strategic AI-readiness project, not just content production.


Publishers can use authority for adjacent affiliate topics, but third-party managed pages can create Google site reputation abuse risk.

Valentine's Day is a major example of huge news publishers using their SEO authority for affiliate products. CNN, The New York Times, USA Today, even Business Insider all have pages targeting Valentine's Day gifts. Here's the CNN page. These are all affiliate links. People don't realize this, but these publishers depend a ton on affiliate revenue like this...

Do not host third-party affiliate pages just to exploit site authority; keep owned editorial control and check site reputation abuse policy.


The creator says the safer way to target adjacent keywords is to build an owned sub-brand/vertical, such as NYT Cooking or BBC Food.

For adjacent-topic expansion, evaluate whether a controlled sub-brand/vertical with real expertise is more defensible than unrelated pages.


The creator says Bing Webmaster Tools AI Performance reports citations, cited pages, and grounding queries.

Microsoft's Bing Webmaster Tools is showing you how your site is getting surfaced in AI tools for free. It has a new AI performance report. It shows how many citations you're getting, average cited pages. It shows the keywords that AI is using to retrieve your content. AI doesn't actually have your brand in its training data...

Include Bing AI Performance in AI visibility audits and compare its citation trends with other tracking tools.


The creator says grounding queries are the terms AI systems search to retrieve brand or site information.

Use grounding queries as one signal for how AI retrieves brand/category information, while noting the dataset is Bing/Copilot-specific.


The clip says informational publishers targeting who/what/when/why/how keywords are exposed during Google volatility because they depend on traffic and ads.

There's a major Google algorithm update happening, destroying news publishers. Google is tight lipped though, not confirming anything. This one site owner said since yesterday traffic is in a free fall. User engagement zero. Zombies 100% bots up again. Another. The downward swings are just so wild that you just lose complete hope in what you are doing...

Treat traffic-dependent informational publishing as volatility risk and diversify toward customer-intent pages and revenue sources.


The creator recommends niche apps or tools on subdomains plus intent keywords as diversification away from pure informational traffic.

Test utility or tool pages for bottom-funnel demand and measure conversions, retention, and support load rather than traffic alone.


The source argues top-of-funnel content should be only part of the mix, with more focus on keywords that bring users or customers.

Segment the content portfolio by funnel stage and ensure customer-intent pages receive enough priority, not just informational traffic pages.


The creator argues that raw backlink count does not determine rankings in Google or ChatGPT; trust, relevance, source quality, and why the link exists matter more.

This is some of the laziest SEO advice I've ever seen, and I just wish it would disappear into a black hole because I'm constantly having to address it. The amount of backlinks you or your competitor has doesn't matter. Search engines like Google and ChatGPT do not rank pages based on the number of backlinks they have...

Evaluate backlinks by relevance, editorial trust, and endorsement context rather than total link count.


Bought backlink packages are described as often coming from spammy, low-quality sites that search engines do not trust.

risk/avoid: Do not recommend bulk backlink packages; require link-quality review, relevance checks, and spam-risk controls.


The creator argues lost human clicks from AI answers may not hurt product/service businesses if AI answers recommend the business.

iour of humans. Now, if this is the situation you're in right now, you're probably hurting. A loss in direct traffic translates directly to a loss in revenue. However, I also think you're sitting on top of a gold mine. This is because any website that could influence the purchase behaviour of humans in the past, we'll almost certainly be able to influence the product and service recommendations of AI in this new...

Shift reporting from traffic-only to recommendation/share-of-answer visibility for commercial queries.

AI Overviews / traffic vs recommendations


Affiliate and listicle sites that lose human traffic may still influence which products AI systems recommend.

Track which affiliate, listicle, and publisher pages AI systems cite before product recommendations.

Affiliate publishers / AI recommendations


The source predicts publishers with AI-cited pages may sell recommendations as affiliate and ad traffic declines.

Evaluate AI-cited publisher pages as a monetization shift, while separately reviewing disclosure and editorial standards.


The creator suggests judging AI workflow builds by build time versus long-term time saved, rather than chasing every bleeding-edge automation.

If you're like me, you're seeing a lot of people do really cool things with AI recently and you can start to feel like you're being left behind. But I wanna talk about why I think 99% of us actually don't want to be on the bleeding edge of AI right now. Now, to be clear, if you do any kind of knowledge work and you're not using AI on a daily basis right now, I do think you're about to be left behind...

Use an ROI heuristic before building AI systems: estimate build/maintenance cost, reliability, and time saved.


Automating work AI cannot yet do reliably can waste time and still leave the team hiring or doing the work manually.

figure that out, we need to understand a few things like what are the models actually capable of and what are they likely to be capable of in the future? If you try to automate something with AI that it can't yet do reliably, well, you're gonna waste a lot of your time banging your head against the wall and then ultimately you're still just gonna end up hiring someone to do the work instead...

Pilot complex AI automations against clear failure modes before investing weeks in a build.


If an AI tool would obviously benefit millions of people, many startups or major model labs may build it, so a lightweight prompt/template/SOP may be better than weeks building custom software.

Prefer lightweight prompts, templates, and SOPs for generic AI capabilities likely to become core model features.


The creator proposes a title formula combining target keyword, searcher goal or benefit, and brand name.

This is a magic formula you can use to get higher rankings in Google search. Give ChatGPT your keyword, then your brand name. Say this is my page title. Formula target keyword vertical dividing line benefit or searcher's goal another vertical dividing line brand name...

Treat keyword + benefit + brand titles as a testable hypothesis on priority pages, measuring CTR, rankings, and conversion effects.


Target keywords should overlap three areas: the audience searches for them, the business offers the thing, and the business can realistically compete for the audience/search surface.

Way too many of you are focused on stuff that doesn't actually matter when it comes to your website SEO, and you're totally overlooking the things that are actually gonna get you results. Strip everything else back. This is a rapid fire list of everything you need to be working on. Every keyword that you target needs to overlap in these three areas...

Add audience-offer-competition fit checks before selecting target keywords.


The creator says the quickest essentials for helping search engines understand a page are including target keywords in the meta title and H1.

Audit priority pages for clear target-language in meta title and H1 before deeper on-page optimization.


Site authority is framed as what helps a site reach page one of Google and be mentioned by AI search engines; digital PR and consistent social/platform presence are named as effective 2026 authority tactics.

Review authority-building plans for earned PR and cross-platform consistency as possible AI visibility inputs.


The creator recommends using ChatGPT agent mode to research free, overlooked backlink opportunities for a specific business.

If you need backlinks to boost your SEO, try this. Go to ChatGPT agent mode. Use this prompt. I have a insert your business, find me free low hanging fruit backlink opportunities things that most businesses overlook. Detailed, but use concise language in your directions. I want needle movers. ChatGPT agent mode is a secret weapon for a starting point...

Use AI-agent backlink prospecting as research only; manually vet each opportunity for relevance, indexability, quality, and spam risk.


AI-generated backlink opportunity lists can include low-quality or unsafe tactics if used without review.

risk/avoid: Do not execute AI-generated link-building steps without human review against spam policies and quality standards.


Publishing useful content before a known trend or upcoming event can capture search demand early and become the top result when interest rises.

Some of the easiest SEO wins I've ever seen have come from trending keywords or actually keywords that weren't even trending yet. But we anticipated the trend. I'm gonna give you two different scenarios where I've seen this work. The first one was a client. We knew there was a TV show coming out soon, and it was gonna be talking about something that was very closely linked to what they offer...

Add trend-anticipation research to content planning and publish evergreen guides before predictable demand spikes.


A compliant coming-soon product page can earn early rankings, backlinks, references, and mentions before competitors publish their pages.

For confirmed upcoming products, publish accurate coming-soon pages with clear availability status and useful product information.


Future-year modifiers such as “Black Friday 2026” may be low-competition before they trend and can be targeted early.

ady being searched for, how many times it's being searched. But what you cannot anticipate is when something is going to trend and how much you could get from it. If you don't actually have any, like, new, upcoming, possibly trending soon topics in your industry, there are other ways that you can do this. Let's take something like Black Friday, 2026...

Build a calendar of predictable future-year/search-event opportunities and publish early where the business has a real offer.


The creator argues a backlink is more valuable when the linking page itself ranks and gets organic search traffic, not just when the domain has high authority.

Having other websites linked to your website has always been important for SEO, but I want to talk about how AI search is changing the way that we build backlinks. Now these days, we actually don't build a lot of backlinks for most of our clients. We typically get much better results from just creating content for terms that our clients already have the authority to rank for...

Evaluate link prospects at page level: ranking, traffic, relevance, query overlap, and page quality, not domain metric alone.


For AI search, off-site placements should be evaluated by whether cited pages recommend the brand, not only whether they contain a link.

at's relevant to those hyper specific terms, you don't need as much page rank. And more importantly to this conversation, you actually don't need your website to rank. Remember, the goal in AI search is not traffic. The goal is that the AI recommends your brand as the solution. And to achieve that, we just need the large language model to site pages that recommend your brand...

When pursuing off-site placements for GEO, seek accurate brand recommendations on pages likely to be cited by LLMs.

AI visibility / recommendations over links


A brand can influence AI recommendations through cited pages on other websites, even when the brand's own site is not the ranking page.

Map third-party pages cited for target recommendation prompts and assess whether credible, accurate inclusion is possible.

AI citation strategy / third-party pages


The creator says domain rating or domain authority matters even less for AI-search link building than it did before.

Compare AI citation and recommendation outcomes against domain metrics, page-level relevance, ranking status, and observed LLM citation behavior.

Authority metrics / AI-search link building


The creator argues that queries already ranking in positions 3–24 are easier opportunities than publishing new blog posts.

Please stop publishing new blog posts. Go to Google Search Console. Go to performance search results. Toggle on average position. Filter by position is greater than 3. Now you have keywords that you're already ranking for that you can show No. 1 for very easily. Position 1 of Google gets almost double the click through rate of position 2. It gets two and a half times the click through rate of position three...

Run GSC opportunity reports for positions 3–24 and prioritize refreshing existing pages before creating net-new content.


Existing pages can be improved by adding sections, improving titles, and using near-ranking keywords high on the page.

Add a content-refresh workflow for near-ranking keywords with title, section, above-the-fold relevance, and intent-fit checks.


SEO strategy now needs to consider AI answers and surfaces such as Reddit, YouTube, LinkedIn, and TikTok, not only Google rankings.

We've officially entered a new era of SEO. It's not about ranking on Google. Now we also wanna show up in AI answers, feature on Reddit, YouTube, LinkedIn and TikTok. If your strategy has not adjusted for that, you're doing it wrong. These are the two biggest shifts that you should have made. The first is focusing on topics instead of keywords...

Include AI answers and non-Google surfaces in visibility audits alongside traditional search rankings.


The source recommends building topic coverage across website pages and social/video content instead of treating SEO as one keyword per blog post.

Plan topic clusters that connect website content with LinkedIn, TikTok, YouTube, and other relevant platform assets.

Topic strategy / cross-platform clusters


The creator argues that AI-era SEO should focus more on brand authority, digital PR, and cross-posting than domain authority alone.

Add brand-authority signals, digital PR, and cross-platform presence to SEO and GEO planning.


The creator warns that mass AI-generated pages without added user value may fall under Google's scaled content abuse policy and can be dangerous.

Elon Musk's Grockopedia is getting hit hard by Google. It reached a peak in SEO traffic at the end of January. SEO started talking about it a lot. Now it's going way downhill. Google has a policy in its guidelines called Scaled Content content abuse. It literally says using generative AI tools or similar tools to generate many pages without adding value for users...

risk/avoid: Do not publish large volumes of AI-generated pages without unique value, editorial review, and policy checks.


Human-written or human-edited content is framed as better for satisfying search intent and conversions than trying to win a short-term AI-content scale game.

Prioritize helpful, reviewed content that satisfies intent and conversion needs over automated volume.


The creator claims ChatGPT performs live web searches for recommendation prompts and that inspecting network responses can reveal query strings used for grounding.

AI does not use your site and its training data to recommend your brand. It literally does a web search. Best CRM for small businesses in ChatGPT. Here it is searching the web. The trick is to see what it searched for. Make content targeting those keywords. Copy this portion that comes after forward slash C, right click inspect. Go to network. Paste what you just copied into the filter. Refresh the page...

Use retrieved-query inspection only as an experimental research method; document model/version/date and validate with other tools.

AI visibility / ChatGPT retrieval queries


After identifying ChatGPT search language, the creator recommends targeting that language in articles, page sections, titles, and YouTube videos.

Build AI-retrieval keyword tests from observed query language, creating useful content only where it matches real user intent.

AI-targeted content / retrieval language


The creator recommends finding pages already ranking for AI retrieval language and asking authors to recommend the brand.

Use this only as honest digital PR: target credible ranking pages, require product fit, and avoid paid or manipulative placements.


The source says YouTube is heavily cited by LLMs and should be targeted with the language ChatGPT searches for.

Include YouTube content in AI visibility experiments and track whether videos are cited for target prompts over time.


AI search may retrieve many webpages but cite and trust only a handful, so visibility requires being found and being recommended.

I wanna talk about four types of pages that you should add to your website if you wanna get recommended by AI search. These are pages you should add in addition to the pages you're already creating for SEO. For SEO, you should be creating a page for each product or service you offer, each sub service, each use case, each service area. Essentially, you want one page for every keyword you're trying to target...

Design GEO assets to answer both retrieval needs and recommendation-confidence needs, not just indexation.

AI visibility / recommendation confidence


FAQ pages for AI search should anticipate buyer questions and objections so the model has material to act like an effective salesperson.

Build reviewed FAQ content around real objections, buying questions, and service fit, and avoid thin generic FAQ pages.


A dedicated “brand reviews” page can rank when AI searches for brand reviews because the brand site is authoritative for its own brand.

I to give to the user. The second page is a reviews page. This is a page where the title is just your brand reviews. You add this because when the AI is searching about your business, one of the searches they'll almost always include is your brand reviews. And because your website is the authority on your brand, this page will almost always show up near the top of that page...

Create or improve a transparent reviews/testimonials page with summaries and real review excerpts where policy-compliant.


Case studies may matter more for AI search than human search because models look for similar customer problems and proven solutions.

Produce structured case studies with summary, facts table, problem, solution, results, quote, and case-specific FAQs.


One page per benefit, offer, guarantee, trial, or differentiator can give LLMs evidence to distinguish a brand from competitors.

Add benefit/differentiator pages only for real, verifiable offers and link them from relevant commercial pages.


The creator claims ChatGPT avoids definitive or personalized advice in legal, medical, veterinary, dental, tax, accounting, and mortgage contexts and refers users to qualified professionals.

Huge SEO opportunity that is the opposite of everyone else's problem. There are certain industries where ChatGPT does not wanna get it wrong. While everyone else is screwing about AI taking their traffic and business, you can become one of the specialists that AI search engines refer people to when they don't want any more liability...

For high-liability industries, position the business as a qualified specialist AI can safely refer users to; validate with prompt testing.


In high-liability fields, AI systems may avoid definitive answers and instead push users toward qualified specialists.

Build service pages that make credentials, expertise, location, and referral fit clear for specialist searches.


The creator recommends a second industry-resource website and says third-party recommendations can carry more weight with readers and AI.

You should absolutely have a second website. So you have your main website for your brand. This is where you sell your products or offer services. And then you have a second website that's not affiliated with your brand at all and just serves as a resource for your industry. We have four clients that are doing this right now and it's incredibly effective...

Treat separate resource sites as high-risk: require disclosure, ethics, maintenance, editorial quality, and search-policy review before testing.


A separate resource site that slowly starts recommending the main brand can become manipulative if affiliation, control, or incentives are hidden.

the main keywords you want to rank for is in the domain name. You may have heard that exact match domains don't carry as much weight as they used to and this is true, but the name of the website is the same as the term you're trying to rank for. Google can't tell if people are searching for your brand by name or for the search term, making it much easier for you to rank...

risk/avoid: Do not create deceptive third-party sites; require transparency, genuine editorial value, and legal/policy review.

Risk/avoid / undisclosed affiliate resource


The creator says exact-match domains can still help, but an already-ranking domain should not be abandoned because authority takes time.

If testing an exact-match resource site, treat it as a long-term content and link asset rather than resetting an existing ranking domain.

Exact-match domains / authority building


Fixed monthly backlink guarantees are presented as a warning sign because quality digital PR links cannot be guaranteed in set quantities.

If you hire someone to do your SEO and they offer you a certain amount of backlinks a month, it's trash. All they are doing is taking your money, going to Fiverr, and buying someone else's cruddy links. Or making random Facebook profiles or spammy forum posts. High quality link building cannot guarantee a set amount of links per month. I'm just gonna be completely transparent here...

Treat guaranteed backlink quotas as a vendor-risk signal and ask how links are earned, vetted, and reported.


Digital PR links from credible publications are presented as far more valuable than large quantities of spammy forum/profile links, but cannot be guaranteed.

Prefer earned digital PR and expert quote opportunities over guaranteed-volume link packages.


The creator suggests turning relevant People Also Ask questions into edited answer pages to build topical depth.

This is a clever way to rank higher on Google for free. Start with a very broad search in your niche. For example fashion you would just do something tailored blazer. Scroll down to the people also ask. Click on each one of these in order to get more questions. The more you click on, the more people also ask questions you will get. Screenshot the questions, give it to the AI. Perplexity. Use the prompt...

Treat this as a content experiment; select relevant PAA questions and add human-reviewed answers rather than generic AI output.


The workflow proposes AI-drafted 120-word answer pages at scale, which can become thin or low-value if not edited for accuracy and usefulness.

risk/avoid: Do not publish bulk AI PAA pages without editorial review, original value, internal linking, and quality thresholds.


The source frames blog posts as valuable for businesses because they can influence rankings, LLM responses, and customers, not just visits.

Blog posts are the most effective form of digital marketing right now, and if you disagree with that, I'm gonna argue that you just don't know how to pick the right topics. Don't worry, I'm gonna show you how. You might have heard that no one reads blogs anymore and that AI just summarizes the information so no one actually visits your website. And yeah, that's essentially true...

Evaluate blog topics by buyer intent, conversion influence, and AI recommendation value rather than search volume alone.

Blog strategy / conversions over traffic


The creator warns against both ignoring search demand and overvaluing search volume; topics should match high-intent, reachable searches.

Score blog topics by purchase intent, specificity, realistic rankability, and AI retrieval relevance.


The source recommends AI-oriented blog topics such as best-X-for-Y, cost, competitor alternatives, and problem-solution articles.

ge models search for. Now I have another video detailing my process for tracking the kinds of topics that large language models tend to site and then identifying similar topics that you can write on. But I know most of you are too lazy to ever do that, so I'm just gonna give you the topics that tend to work best. Each of these topics is really a template that you could make ten or a hundred topics with...

Build content around specific use cases, demographics, service areas, pricing questions, alternatives, and solved problems where brand fit is clear.


Suggested AI/SEO topic templates include “how to choose the best X for Y,” “best X and Y,” “cost of X/Y,” competitor alternatives, and problem-solution pages.

Use these templates as reviewable topic candidates where the business can provide honest, useful, non-spammy answers.

Content templates / recommendation pages


The creator says articles must explicitly recommend the brand; merely ranking or appearing in LLM retrieval is not enough.

For eligible comparison/problem pages, make recommendations explicit, accurate, and substantiated rather than implicit or hidden.

AI recommendation / explicit brand mention


Optimized meta titles are described as critical for helping Google, ChatGPT, and other search engines understand and rank a page, while also affecting clicks.

There is no point bothering with SEO if your page is missing even 1 of these things. There are 3 things that your pages need if your site is gonna have any chance of ranking on Google, ChatGPT, or any other search engine. The first one is an optimised meta title. This is the most important element on your page that search engines use to figure out what your page is about and what they should rank it for...

Audit meta titles for relevance, target intent, and CTR clarity on all important pages.


If AI-written content lifts quotes or wording from existing pages, Google or AI systems may have no reason to rank the duplicate page.

risk/avoid: Check AI-assisted content for copied phrasing, duplicate value, and missing original expertise before publishing.


The creator claims engagement rate can affect rankings and recommends improving readability with shorter paragraphs and richer media.

Include readability and engagement checks in content QA, especially for AI-assisted pages.


Google Search Essentials and spam policies are presented as a practical checklist for evaluating whether tactics are risky or spammy.

This is something about Google nobody knows. Google literally tells you its rules for making sure your website doesn't spam. I got these comments showing people don't know this exists. It's called Google Search Essentials. There's an entire page on Google spam policies. If you're worried your site is doing something spammy, look for it in here. Google penalties are now becoming permanent...

Add Google Search Essentials/spam-policy review to SEO QA before deploying AI content, link, or keyword tactics.


The creator claims Google spam penalties are becoming more permanent, increasing downside risk for spam tactics.

risk/avoid: Treat spam-policy violations as high-severity risks and require conservative approval before any grey-hat tactic.


The source claims YouTube is cited 16% of the time in large language models.

YouTube is cited 16% of the time in large language models. Go to ChatGPT, put in a prompt in your niche. Copy the part of the URL that comes after forward, slash C, right click inspect. Go to network, paste in the part of the URL you just copied. Click refresh. Click on the orange brackets with the part of the URL you copied. Go to response. Search this for queries...

Treat the 16% figure as a claim to verify and include YouTube citation tracking in AI visibility research.


The creator recommends using ChatGPT-observed search terms in YouTube titles, descriptions, and upload file names to increase AI visibility.

Test YouTube optimization around validated AI retrieval terms, while keeping titles/descriptions natural and useful.