Animated Gmail profile icons are presented as a marketing hack to increase open rates, but the claim is unsupported and may be gimmicky or policy-sensitive.

Just a reminder that 22% of the global population uses Gmail, and this is the easiest marketing hack that anybody can do. Drag your business logo into Gemini. Just say, animate my logo. You want to get something very minor like this, where there's not a ton of creative license taken. Download the video, search MP four to GIF, click this, convert it. It'll take a second...

risk/avoid: Do not adopt as an SEO/GEO recommendation; if tested for email marketing, validate deliverability, brand trust, accessibility, and policy impact.


Ecommerce SEO should prioritize product category and collection pages that target buying-intent searches over generic blog posts.

Most ecommerce websites are losing sales because they are not doing this with their SEO strategy. SEO specialist, so I see this all the time. This one change in your strategy makes such a difference to sales, rankings, traffic, everything. This is actually a technique that I teach inside the SEO Clinic, which is my SEO course that teaches you exactly what your website needs to rank on Google and search in 2026...

Expand and optimize collection pages around real product attributes and keyword research before investing in broad blog content.


Product descriptors such as scent, type, or use case can justify collection pages when people search those descriptors.

Map product attributes to search demand and create useful collection pages where inventory supports the category.


Prompting capable models should shift from rigid step-by-step instructions toward clear success definitions, evaluation heuristics, and common mistakes.

I think a lot of people haven't realized how smart these models like ChatGPT 5.5 and Opus 4.7 are because they don't know how to talk to them. I see a lot of people saying the models aren't getting any smarter, or even that they're getting dumber, and I think it's because they're talking to them the same way they talk to the older, dumber models...

For SEO/GEO agent skills, define output standards and self-check criteria rather than overconstraining every decision step.


Overly rigid old prompt templates can limit newer models by forcing them into outdated deterministic processes.

Review legacy prompts for unnecessary procedural constraints and replace them with goal/evaluation-oriented instructions where safe.


Google is claimed to be enforcing a back-button-hijacking spam policy from June 15, 2026, with search traffic risk for violators.

It's finally come up and stay for the spammers. Google has started sending out emails to sites that are actively hijacking the back button. Warning, your site may be in violation of Google's back button hijacking policy. Says right here, back button hijacking interferes with the user's browser navigation, preventing them from using their back button to immediately get back to the page they came from...

risk/avoid: Audit and remove back-button hijacking or navigation-interference patterns before relying on organic traffic.


Back-button hijacking interferes with browser navigation and can be treated as a spam-policy violation.

Add browser-navigation integrity checks to technical SEO and UX audits.


The creator says fresh content is not always required for ChatGPT citation, citing average cited pages around 500 days old.

Everybody thinks you need fresh, recent content to show up in ChatGPT. That's not the case at all. The average cited page is 500 days old, still getting picked. It favors its general search index, uses semantic similarity to select and cite sources, and treats Reddit as a textbook it's embarrassed to admit it read...

Treat freshness as one factor; validate citation-age patterns by prompt cluster before prioritizing updates.


The creator says AI citations rely on search retrieval and semantic similarity between AI searches and page content.

Compare prompt-derived search language with page copy, then address semantically close phrases on site and owned channels.


The passage says Reddit and YouTube can influence AI citations when brand content is close to AI search language.

Audit Reddit and YouTube presence against the language AI tools appear to search.


SEO audits should start by verifying sitemap submission, crawlability, indexability, and whether important pages are indexed; other work is wasted if search engines cannot access content.

I'm just gonna show you the exact process I would follow if I was doing an SEO audit on your website. Specialist, by the way. I'm not just some rando, people hire me to do this. We gonna start out with some technical SEO basics. Have you submitted your site map? Can search engines actually crawl and index your site? Are your important pages indexed?...

Keep crawl/index checks as the first stage of website SEO/GEO audits.


At minimum, each important page needs an optimized meta title, H1, supporting headings, and decent reviewed content rather than unread generic ChatGPT text.

Add minimum on-page requirements and human review checks to content QA.


Keyword research should be matched to the actual website page set to find missing service/product/collection pages and rank opportunities.

Build a page-gap map from keyword research before producing new content.


Broken links, loading speed, and mobile performance can hold back whole-site SEO performance.

Include broken-link, speed, and mobile checks in prioritized SEO action plans.


Basic on-page SEO should include a niche target keyword in the page title, URL slug, H1, and preferably early in the first sentence.

If you've never done SEO before, this is 70% of what you have to do on a page. Pick a target keyword that you would like to show on Google for. Try not to choose something that everybody else is choosing, so just niche it down a little bit. Put it in your page title. Meta description is optional. URL slug is mandatory. H1 is mandatory. Beginning of the first sentence: half mandatory, but definitely try to do it...

Use as a baseline on-page checklist, while avoiding keyword stuffing and validating intent fit.


Pages should answer the searcher's intent high on the page before users scroll.

Add above-the-fold answer/intent-satisfaction checks to page QA.


SEO is described as a multiplier that is less efficient for very new brands needing immediate customers; ads or human-led video may be better early channels.

SEO by itself doesn't work. And this is because SEO is a multiplier, and anything multiplied by zero is still zero. So if you're a big, well-known brand that has never really done SEO, you can expect some really quick wins once you start to. On the other hand, about once per week, someone reaches out to me and they say, "We just launched our company. We're about to finish our website...

In strategy review, qualify SEO investment by brand maturity, search demand, risk tolerance, and time horizon.


The creator frames SEO as a stronger bet after about $1M in revenue and when the company sells something people search for.

Use revenue stage, search demand, risk tolerance, and time horizon as qualification checks before recommending serious SEO investment.


Competitor comparison pages with slugs/titles/H1s like “company versus competitor” can be heavily cited in AI Overviews for brand-vs-brand searches.

Versus pages are working very well in getting Google to say your competitors are worse than you. Rippling created a page: see how Rippling compares to Deel. The AI overview when you search Rippling versus Deel shows it being cited nonstop. Here it is cited again. It's the most cited source for this. Make your URL slug your company versus another company. Put it in a subfolder called compare or alternatives...

Review comparison/alternatives page opportunities, ensuring factual fairness, evidence, and legal/compliance review.


Creating comparison pages to get AI to say competitors are worse can become manipulative or legally risky if claims are unfair or unsupported.

risk/avoid: Do not publish biased competitor pages without substantiated comparisons, disclaimers, and legal/compliance review.


AI knowledge bases should separate public-shareable material from internal-only material before models use them for public-facing work.

t to retrieve just the information you need for a given task. Then you're gonna give it your website URL, any social media handles, and any other documentation or data you have about your company. Just dump everything in there. Claude is really good at handling large amounts of messy content...

Classify every knowledge-base document as public-shareable or internal-only, then reflect that boundary in model instructions.


A company knowledge base needs usage instructions that explain each document, when to use it, and which documents are internal-only.

Create a short knowledge-base guide that maps documents to use cases and marks public-shareable versus internal-only sources.


Repeated AI tasks should have reusable skills that are updated with feedback and lessons from each completed run.

Add a post-task step that updates the relevant AI skill with feedback, edge cases, and lessons from the completed work.


Blogging fails when companies write high-quality information that their audience is not actually searching for.

When I tell people that blogging is the most effective form of digital marketing right now in 2026, I'm often met with funny looks. People will say, "I heard blogging isn't effective anymore," or, "I've been writing blogs and I'm not getting any results." So if you've been blogging and you're not seeing any results, I want to share the three reasons this might be happening...

Validate search demand before writing blog content for product or service businesses.


Blog titles should use the phrase people actually search for, not witty, creative, or official terminology users do not use.

to fix. One of the first things we do for new clients is find all their pages with this issue, and we can typically see some very quick wins. You might have an article called "The 5 Mistakes to Avoid After Getting in a Car Accident," but no one searches that way. The article should be called "What to Do After a Car Accident." Titles are not the place to be witty or creative. Or use the official name for things...

Align article titles with common user query language and validate titles through keyword or prompt research.


Blog posts need searchable topics, intent-matched titles, structured formatting, and high fact density before optimization can matter.

Audit blog posts for real search demand, title intent match, bullets or tables where useful, and specific facts that support recommendations.


Google is claimed to reward more specific, experience-based content such as product tests, wear-pattern analysis, and real customer cases over generic listicles.

Google just made a huge change to the content it's rewarding. Previously, it was rewarding things like: 7 tips for first-time home buyers. Top 10 things to consider when buying running shoes. Now: why this customer's shoes collapsed after 400 miles, a wear pattern analysis. Why we waive the inspection and save $15,000, a look inside the sewer line...

Treat as a hypothesis for TOFU content: test specific evidence-backed story/case titles against generic listicles.


Better top-of-funnel titles may be built around concrete tests, failures, and proof (“we tested X; only Y passed”) rather than broad advice posts.

Add proof/test/case hooks to content ideation briefs where real evidence exists.


Website SEO strategies built mainly on AI blog posts are vulnerable as AI search rises; the creator argues to focus on pages AI cannot easily replace.

Most of you are doing website SEO wrong, and it's why you're not ranking. SEO specialist, so this is literally what I do all day. And whenever I'm running an audit on a site and the business owner tells me they've done their own SEO or they've worked with an agency before, but nothing's really worked, the reason why is always the same. They don't have a strategy. Like, not even a little bit...

Shift SEO planning toward durable revenue/product/service pages and away from generic AI-generated blog volume.


Businesses without a real SEO strategy often fail because they publish content without prioritizing the pages that drive rankings, sales, or defensible value.

Require a page-prioritization strategy before content production; do not treat “publish AI blog posts” as a strategy.


A strong knowledge base and instruction set can make it easier to switch between AI models as capabilities and costs change.

both companies estimate a 5x increase in compute by the end of 2026, right now we're definitely feeling the squeeze from Claude. Those tokens are getting expensive. With the release of 5.5, we're already starting to move some processes over to ChatGPT. But the way our processes are set up makes this really easy, and that's what I want to talk about. Documentation is always been a really important for businesses...

Design AI documentation to be model-portable instead of locked to one platform's workflows.


The creator claims business documentation may become one of a company's most valuable assets because AI can perform more computer-based work when documentation is strong.

Treat documentation quality as a strategic asset in AI-readiness and operational due-diligence reviews.


Local businesses can use AI to generate journalist pitch angles and customized outreach ideas based on journalist coverage.

If you're a local business, this is how you can use ChatGPT to get in the news. I have a roofing repair business in Dallas, Texas. I want to message local journalists who cover news in Dallas. What are all of the angles they might report on that would be relevant to me? You'll get a long list of pitch ideas like this...

Treat as a reviewable digital PR workflow: use AI for research/angle drafting, then human-edit pitches before outreach.


ChatGPT Agent mode is described as useful for finding journalists and analyzing their recent articles to personalize pitches.

Experiment with agent-assisted journalist research, with manual verification of contacts, publication fit, and facts before sending anything.


The creator warns that AI-generated journalist pitches should be cleaned of AI giveaways, buzzwords, and generic phrasing.

Do not send raw AI outreach; fact-check it and rewrite it in a human/client voice.


The creator says following up with journalists every month or two can create repeat coverage, referral traffic, and backlinks.

Add a non-spammy journalist follow-up cadence only when there is genuinely useful story material.


A page's meta title is framed as the first and most important signal search engines use to understand the target topic/keyword.

Most of you are missing this when it comes to your website SEO, and it's one of the most important things to get right. The most important element on your page, your meta title, which is what shows up here in the browser bar, absolutely must be optimised for your target keyword. Assuming this page is trying to rank for property maintenance services, that's what we should be seeing in the meta title...

Audit key pages for target-keyword-aligned meta titles before deeper optimization work.


Missing service terms from page headings can weaken search engines' ability to understand page sections and offered services.

Add clear H1/H2/H3 coverage for primary service categories and subservices where they genuinely belong.


The homepage is treated as the highest-authority page and should clearly communicate the core offer and target search intent.

Include homepage messaging/title/heading checks in SEO audits, especially for local/service businesses.


Iterative self-refinement can improve complex AI outputs by having the model score its work against a rubric and revise weak areas.

I wanna talk about doing really hard tasks with AI, those tasks where the quality of the output is really important. And there's a lot of different priorities that the AI needs to consider and keep in mind. At our SEO agency, these are things like coming up with strategy and writing content. It's one thing to articulate everything that's important to keep in mind while going through these tasks...

Use rubric-based self-review for SEO strategy or content tasks, with human QA and source verification before publication.


Complex AI workflows can be structured as skills, with iterative self-refinement as the final repeated step.

For repeatable SEO and GEO workflows, separate generation instructions, evaluation rubric, and orchestration into maintainable skill files.


Vague rubrics can make models rate themselves too favorably and perform shallow revisions.

ot sure, just explain the entire process to Claude and then ask it how it thinks you should organize the skills. Skill should walk Claude or whatever model you're using through the entire process of generating the first version of the output, along with any guidance it would need to do the job well. The iterative self refinement is just the last step of the process...

Avoid generic goals like 'make it better'; define concrete success criteria and external checks.


Overly rigid guidelines such as arbitrary word counts or keyword density can make AI outputs robotic and deterministic.

Avoid keyword-density or word-count driven rubrics; prefer intent, usefulness, evidence, and brand-fit criteria.


Iterative self-refinement can become expensive with strong models because the loop may run several revision passes.

Add cost controls such as max revision count, model routing, or separate refinement chats when task value does not justify open-ended loops.


Pages that are not indexed in Google cannot rank, so publishing and link building are wasted if indexing is not checked.

If your pages aren't indexed on Google, they're never gonna rank. I see so many of you publishing blog posts, link building, maybe even hiring an agency, and you haven't even checked this one thing. And honestly, this is a big reason why I created the SEO Clinic, because most of you have no idea what's really going on with your website...

Make index coverage checks a first-stage gate in SEO audits and content publishing QA.


Google Search Console's Pages report explains why pages are not indexed and should be used to diagnose missing pages.

For missing indexed pages, inspect GSC Pages reasons and document fixes per reason before creating more content.


AI can increasingly generate attractive functional websites, but larger/dynamic sites still need organization, maintenance, and a CMS layer.

I think the way we do design work is about to change faster than any change we've seen so far. ChatGPT's image 2 model just dropped and it is truly amazing. It's by far the biggest jump we've seen in image capabilities today. But that's not even the big story here. ChatGPT has also been testing a new Pro model...

For AI-built sites, review maintainability, content model, CMS fit, and ownership before treating generated HTML as production-ready.


The creator claims a 2026 SEO playbook is to target the same keyword with a website page plus multiple short videos across social platforms.

Is the SEO playbook in 2026 user generated content is winning on Google? It's never been easier to make video. As you are targeting keywords with pages and posts on your website, you're also making videos on the subject matter targeting the same exact keyword. You're making videos fast and casually...

Test multi-surface keyword coverage by pairing important landing pages with short videos repurposed to TikTok, Shorts, Reels, LinkedIn, and other relevant platforms.


The creator claims YouTube is heavily cited in AI search and useful for AI/SEO visibility.

Include YouTube/video presence in AI visibility audits, while validating citation frequency by niche and prompt cluster.


Short-form videos can lead to branded searches and strengthen an SEO entity.

Track branded search lift and entity mentions when testing short-form video distribution around SEO keywords.


As AI answers make searches longer and less visible in keyword tools, Reddit and forum questions can reveal content topics those tools miss.

If you're interested in ranking higher in AI search, I want to share a super simple trick for finding good topics for content. Pretty soon all search will be AI search. And as you might know, finding good topics and keywords is getting more difficult because of that. All keyword tools, including Google Search Console, only show you common terms...

Add Reddit and forum question mining to AI-search topic research, especially for long-tail and use-case-specific queries.


Claude Desktop may access Reddit from the user's computer where cloud chatbots are blocked, enabling title-level topic mining.

Treat as an experimental research workflow; verify compliance with site terms and avoid excessive scraping.


Similar questions from different demographics/use cases should not always be deduplicated because modifiers and variants may be the most valuable asset.

t through all the good ones. I recommend telling Claude to only look at the contents of the thread if the title is ambiguous. For most industries, you should be able to retrieve thousands, if not tens of thousands, of titles. But of course, there's gonna be a lot of noise, so you wanna tell Claude to pay attention to the most common questions and then categorize and deduplicate those topics...

Preserve audience/use-case modifiers during topic clustering instead of collapsing everything into generic head terms.


After extracting forum topics, AI should filter for topics relevant to the business and where the business has authority to write/rank.

Score mined topics by relevance, authority, conversion intent, and realistic rankability before content creation.


Multiple pages targeting the same keyword can create ranking conflict between homepage and service pages.

This website is making a really common SEO mistake. I see loads of you do this. First, though, I do wanna give you major props for the fact that you have got individual service pages for all of your services. We love to see it. Oh. Oh, okay. What is. I don't love to see this. Don't know what's going on with the design here...

Audit rankings by query to find page conflict, then assign one primary page per target topic/keyword cluster.


The homepage should target broad/core business terms, while service pages should target individual services and their search terms.

Build a keyword-to-page map separating homepage targets from individual service page targets.


Overly broad, informational, or mismatched keywords can produce traffic that does not convert.

Nothing, and I mean nothing, is gonna fix your website's SEO if you keep getting these two things wrong. This is exactly why your website isn't ranking or isn't generating any revenue from those rankings. Even if you've done. You can publish blog posts, you can submit your site map on Google. You can even hire an agency...

Prioritize keywords that match the offer, buyer intent, realistic rankability, and revenue potential.


Commercial keywords often need dedicated service or product pages rather than blog posts or one page trying to rank for everything.

Build required revenue pages before scaling blog content, and map each commercial keyword cluster to an appropriate page type.


Business knowledge bases for AI should use markdown-style documents because AI models handle that format well.

AI capabilities are advancing incredibly fast right now, and I think a lot of businesses are wondering what they should be doing to prepare. So I just want to talk about one thing that I think every business should be doing right now, something we do for all of our clients, and that's building a knowledge base...

Store reusable business, SEO, and GEO context as clean markdown documents with stable filenames and metadata.


Each AI knowledge-base file should clearly state what it contains and when it should be used.

Add document descriptions and usage notes so AI agents can choose the right context without loading every file.


Internal information should be strictly separated from public-shareable information to reduce leakage in AI-generated public content.

exactly what it is and when it should be used. I also recommend strictly separating documents that contain internal information versus documents that you would gladly share publicly. Presumably, this AI is going to be drafting public facing messaging and content. You don't want internal information leaking in. Next, you need a place to store and organize these files...

Classify knowledge-base files as public or internal and add usage constraints before connecting them to public content workflows.


Useful AI business context can include company overview, product or service descriptions, content guidelines, page inventory, competitor analysis, and brand voice.

Use those document types as a starting checklist for client AI and SEO knowledge-base setup.


Local shared knowledge bases can become a version-control problem for teams larger than two or three people.

Define ownership and version control before letting multiple people or AI agents edit shared local knowledge-base files.


Shopify is presented as a case where scaling unchecked AI articles briefly increased visibility, then collapsed after Google caught on.

Shopify's SEO is a bloodbath. They pumped out thousands of these best-of articles in order to gain large language models and search engine optimization. It briefly worked. They started to get a bump in visibility. Google caught on and is annihilating their blog. If you don't know, large language models use search engines to get their information...

risk/avoid: Do not scale unchecked AI content for SEO/GEO; require editorial QA, originality, usefulness, and performance monitoring.


The creator claims LLMs use search engines for information, so content losing search visibility may also lose LLM visibility.

Treat organic search visibility as one input to AI visibility monitoring; watch for LLM citation drops after search traffic/indexing declines.


The Mount AI pattern is described as AI content scaling, followed by a traffic spike, peak, and visibility collapse.

Use rapid AI-content spike then decline as a risk pattern to monitor during content audits.


AI search recommendations often depend on a small number of industry-specific directories rather than every possible directory.

If you want your business to be found online, you need to understand the role that business directories play these days, cause it's a big one. I'm talking about directories like Google Maps, Yelp, and Clutch. These directories have always mattered, but they matter a lot more now as search becomes AI search. I think by the end of 2026 all search will be AI search...

Identify the directories most often cited for target industry prompts instead of doing generic bulk citation building.


Businesses can manually query Google AI Mode with hiring-intent prompts to see which directories or websites are cited.

Add prompt-based AI Mode citation checks to local SEO and GEO audits, recording cited domains and listicle pages.


AI systems may cite directory listicles, so visibility depends on appearing near the top of relevant listicles, not merely having a profile.

e looking to hire a business like yours. Then pay attention to the websites that AI cites. These websites more or less determine whether or not the AI is going to recommend your brand or your competitor's brand. And for pretty much every industry, it's going to include directories. Now before I get to step 2. I know what you're thinking, TJ. Why would I look at Google AI Mode? No one uses AI Mode...

Audit target brand presence and rank position inside AI-cited directory listicles.


For many directories, review frequency may matter more than total review count after the profile basics are complete.

Track and improve review velocity on priority directories where reviews influence listicle/profile placement.


Some directories use non-review ranking factors, such as platform activity on Justia for attorneys.

Document ranking factors by cited directory instead of applying the same optimization checklist everywhere.


Paying for ads/placement in cited directories may improve listicle position, but this can be expensive, disclosure-sensitive, and directory-dependent.

risk/avoid: Do not recommend paid directory placement by default; validate citation importance, economics, sponsorship labeling, and client risk tolerance.


Completing profiles on important directories is low-effort and can affect whether a business appears in directory listings.

lly paying for placement, you're running ads on their platform, but as a result, they'll place you at the top of these listicles. And if this is a directory that AI is citing often, it's probably worth paying for placement. And I know you hate Yelp and you swore you'd never pay them money cause they just rip you off...

Ensure priority directory profiles have complete categories, descriptions, images, services, and contact data.


Robust skills are framed as a safer investment because they can move across models and platforms as capabilities change.

easy for Anthropic to fix without updating the model. However, the update that I think is most relevant, the update that you're most likely to notice and is most likely to impact your decision on how you work with these models, is it Opus 4.7 follows your instructions much more closely, where previous models were much more likely to follow your instructions loosely...

Design SEO and GEO skills as portable markdown instructions with references and examples rather than platform-locked prompts.


Newer models may follow instructions more literally, making clear task instructions more important.

Review prompts and skills for ambiguity or unintended literal interpretations before using them in strategy or content workflows.


GA4 can be configured to show landing pages and engagement metrics for sessions where the source is ChatGPT.

It's nuts to me the amount of you that are working on your website SEO, but you're not checking this. It's not just about Google. People are using AI search engines everyday. And if you don't know if you're getting website traffic from ChatGPT or you don't know what pages it's going to, you really don't know if your SEO strategy is working. Not to mention that you're missing out on a ton of valuable data...

Create a GA4 detail report filtered by `session source = chatgpt` to monitor AI-search referral traffic and landing-page performance.


Press releases can be syndicated to news sites, rank for targeted wording, and be cited by AI Overviews, enabling self-serving AI influence.

Here's how to use news websites to influence large language models. When you put out a press release, they get syndicated to news websites like this. Says right here, press release distributed by AB Newswire on this news site, The Globe and mail. Here's what happens when you Google best selling SEO book. You see the AI overview quoting the press release in The Globe and mail. This is what it's citing right here...

risk/avoid: Do not use keyword-stuffed press releases to manipulate AI citations; monitor PR citation susceptibility as a quality-risk issue.


AI skills can become durable business assets because they encode repeatable computer tasks as reusable instructions.

Knowing how to do something on a computer is becoming less valuable everyday, but knowing how to articulate how to do something on a computer is becoming more valuable. Google's release of Skills Inside of Chrome yesterday is a perfect example of this. But before we talk about that, we need to talk about what skills are and why they're quickly becoming your most valuable business asset...

Inventory repeated SEO and GEO tasks and convert high-value ones into narrow, documented skills.


Narrowly scoped AI skills with detailed instructions and reference files can become more capable through repeated feedback.

e scope, the better. But even for a narrow task, the instructions, or what's called the skill dot m D file, might be 300 lines of text. And then some skills will also contain what are called reference files. These are additional markdown files that might contain examples or guidelines. Don't worry too much about the structure, though. Just tell Claude to create a skill, and it'll handle the structure...

Build small task-specific skills with examples, checklists, and common mistakes instead of one broad all-purpose SEO prompt.


Skills should be updated with feedback after repeated use, and 10-20 iterations can materially improve capability.

Add post-run feedback capture and skill-update review to repeated AI-assisted SEO workflows.


Orchestrator skills can chain multiple narrow skills into complex tasks, while browser-integrated skills point toward more automatable web work.

Explore orchestrator patterns for multi-step research and audit workflows, with human approval before external writes or outreach.


The creator suggests using GSC and AI filtering to find purchase-intent queries where the site already ranks below top positions.

If you want your SEO to grow high like these New York City skyscrapers, do this. Go to Google Search Console. This is Google's own tool for accessing their search index. If you haven't connected your site to it already, do it here. Then go to Performance Search results. Now click on this blue AI button. Use the prompt find all purchase intent keywords...

Experiment with GSC query mining for commercial-intent terms where pages already have impressions but weak average position.


Adding an existing purchase-intent query high on the ranking page or as a new section may improve relevance and clicks.

Treat as a controlled on-page test: add useful query-matching content only where it genuinely answers intent, then request recrawl and monitor.


Adding exact search terms to pages purely for ranking can become keyword-stuffing if not supported by helpful content.

risk/avoid: Do not insert exact-match terms mechanically; require natural language, user value, and conversion-fit review.


Towing/roadside assistance subservices should each have their own pages rather than being buried on one generic page.

This started out so strong, but then I started to look at all the other content on the page, which, by the way, you do not have enough pages. Like, what services do you actually offer within towing and roadside assistance? These all need their own pages. This is covered in detail in Module 4 of the SEO Clinic...

Map concrete services to dedicated pages where search demand and service distinction justify it.


Generic AI fluff on service pages weakens usefulness and likely does not support rankings or conversions.

risk/avoid: Do not publish generic AI-generated service copy without real service details, local proof, pricing/process info, and human review.


Putting important services in low-priority headings can make them semantically equivalent to boilerplate like cookie policy text.

Audit heading hierarchy so commercially important services/details receive appropriate semantic prominence.


If spam report text is shared with reported site owners, attackers may abuse reports to impersonate competitors and create conflict.

The world of black hat hyper competitive SEO is so insane. Google just made a change where if you report another website for spamming SEO, whatever you write in the submission report gets sent exactly to the site owner that you report. Right after this change happened, I saw a Black Cat SEO use a throwaway email to report a competitor. In the report, this Black Cat SEO claimed to be another competitor...

risk/avoid: Treat competitor spam-reporting workflows as sensitive; avoid deceptive reports and document any legitimate reports carefully.


Good SEO work should be visible through content work, link or recommendation acquisition, and clear task progress.

If you're paying an SEO agency and you don't know what they're doing, they're probably not doing much. I talk with business owners every week that are paying an SEO agency, and I always ask what the agency is doing, and the most common response I get is, I'm not sure. And this is by design. A lot of SEO agencies don't want you to know what they're doing...

Require transparent task logs and deliverables from SEO agencies, then separately validate whether the work affects rankings or revenue.


AI tools that are only almost as good as a human may lose value as expectations rise; useful tools need to outperform humans on the task.

Has anyone else noticed that we've had AI that's about as good as humans at a lot of things for a while now? Almost no reputable companies are actually automating much with AI. And why is that? Well, I think it's because we're learning that about as good as a human isn't good enough if it's not at least as good of a human. It just feels like AI. It feels cheap, feels impersonal...

Define measurable task-quality bars for AI products and avoid shipping shallow audit or report tools that only approximate expert work.


High-value AI processes require domain expertise and repeated iteration, not only quick prototypes.

Prioritize expert-led iteration, benchmarks, and QA loops when productizing AI SEO or GEO workflows.


WP Rocket's performance tooling is described as monitoring selected pages and giving recommendations tied to score improvements.

I don't know why more people aren't talking about this. So last year, WP Rocket released their Rocket Insights 3.21 feature, which allows you to track and monitor the performance of up to 10 pages on your website on autopilot. Side note, they offer this on all their plans now. But let's not get sidetracked, because while I do love this feature, it's, like, great, cool...

Use automated performance monitoring on priority pages, then validate whether recommendations improve real performance metrics.


Structured markdown can be valuable for internal AI knowledge bases, even if public AI-discovery value is still uncertain.

ng to realize how valuable it is to have all important information in a markdown version, not so much for being discovered by AI, but for internal use. Developers are now writing their developer docs in markdown. Even Google, who has been telling us for years, we don't need a markdown version of our website, just rewrote their developer docs in markdown...

Build structured markdown knowledge bases for internal AI workflows before treating markdown mirrors as a public ranking lever.


Public markdown mirrors may have a trust problem because AI cannot easily verify that markdown matches the HTML page without fetching both.

Should you have a markdown version of your website? Well, probably, but not for the reason most people are saying. If you don't know what I'm talking about, let's back up a little bit. Markdown is just a simple way to format a text file. The reason everyone's suddenly talking so much about markdown is because it's the preferred format of AI or large language models...

Treat public HTML-to-markdown mirrors as experimental and validate whether target AI or search systems actually retrieve and trust them.


A structured markdown knowledge base can act as reusable client context for AI-assisted agency processes.

Create a living client knowledge base with source metadata, update rules, and review ownership before using it across AI workflows.


A page can send wrong ranking signals when its title/navigation imply one intent, while the body content reads like a different intent such as a blog guide instead of a bookable tour.

ChatGPT has done this site so dirty, I actually don't even know where to start. You're sending, like, the complete wrong ranking signals. Why does this seem like it's a tour, but then when I go on the page it says complete travel guide? Because that now sounds like a blog. I mean, it's just such obvious ChatGPT garbage...

Audit revenue pages for intent consistency across title, hero, navigation labels, body copy, and conversion elements; move booking/service facts high on the page.


Confusing duplicate or inconsistent menus can make site intent harder for users and search engines to understand.

Include navigation consistency and destination/menu behavior checks in SEO/UX audits.


Google is claimed to be penalizing back-button hijacking as a malicious spam practice, with possible whole-site blocking risk after the stated deadline.

You know when you click the back button but the same page just loads over and over again? Google Search to penalize back button hijacking schemes. Finally, Google is giving websites until June 15th to remove this malicious spam practice. It's literally added right here to Google's Malicious Practices section in Google Search Central...

risk/avoid: Audit and remove back-button hijacking or browser-navigation interference from any site relying on organic visibility.


The creator claims ChatGPT referral destinations include Google as #1, YouTube as #2, and GitHub as #3, implying Google/YouTube visibility may influence AI discovery.

When people say Google is dead or SEO is dead, what they're really saying is, emotionally speaking, I'm scared of SEO. Here are the top ChatGPT referral destinations. Google is No. 1. YouTube is No. 2. Github is No. 3. This is data from semirush. You know how to show up in Google, you will get cited in AI...

Treat Google and YouTube visibility as AI-visibility inputs; verify referral/citation data before using it in client recommendations.


The creator argues that “SEO is dead” claims are overblown because strong Google visibility can still help with AI citations.

Track this as a contradiction/review item against anti-SEO narratives; validate by prompt cluster and citation source tests.


Small or newer sites often miss by targeting broad keywords dominated by major brands instead of more specific terms they can realistically rank for.

Most of you are targeting keywords that your website has absolutely no chance of ranking for. I've audited hundreds of websites and I see this all the time. I sell candles, so I wanna rank for candles. You are not gonna rank for candles. It's dominated by massive brands, way too competitive. And this is the case with most broad keywords like this...

Compare SERPs for brand size and authority, then narrow toward specific commercial modifiers until smaller competitors appear.


Manual Google SERP review can identify whether a term is unrealistic when results are dominated by Amazon, major retailers, or large brands.

Add a manual SERP competitiveness checkpoint before approving target keywords.


The creator claims Google AI Overviews can reduce clicks to websites by 58%, especially for top-of-funnel informational searches.

These AI overview things from Google, they reduce clicks to websites by 58%. Websites that are targeting top of funnel keywords, these are informational keywords where people are trying to learn, these are what are getting destroyed the most by AI overviews. The AI answers the searcher's question, they move on. To avoid this, go after bottom of funnel keywords...

Treat TOFU informational traffic as vulnerable; validate click-loss assumptions in Search Console by query/page type.


Bottom-of-funnel, high-intent searches are framed as more resilient to AI answers because users still want to contact, buy, or use a product/service.

Prioritize conversion-focused landing pages for commercial/transactional queries before generic educational articles.


Everyone in an organization may need to use AI, but only a smaller specialist group needs to keep up with fast-moving AI tools and turn them into workflows.

Everyone in your organization needs to be using AI, but that doesn't mean they all need to be keeping up with AI. Let me explain what I mean and how I think you should be thinking about your business structure going forward. It's very clear that AI is going to make everything we do on a computer much more efficient...

For AI-enabled SEO/GEO teams, separate general AI usage training from specialist workflow/skill-building ownership.


AI workflows should be made simple enough for non-specialists to run through short SOPs, while specialists maintain skills, tools, and model updates.

a be important for companies to set up these workflows so that they're dummy proof. I'm the one building these processes at my agency right now, and the end result is a 5 to 10 minute SOP that I can hand to my team. It shows them how to go to Claude, select a skill, and Claude will guide them through the process. Now, it's important that everyone on my team is familiar with Claude...

Package repeated SEO/GEO workflows into simple operator SOPs with specialist-maintained skills and QA checkpoints.


Easy or solicited backlinks are often ignored, so link building should prioritize trusted, natural-looking sources over raw volume.

If you know anything about SEO, you probably know that backlinks matter for ranking in Google. And yes, this is still true even with AI search. However, you probably don't need as many backlinks as you think. And if you don't understand why backlinks help and which backlinks help, you're likely to waste a lot of time and money. I'd like to just get into how we think about backlinks at our agency...

Evaluate potential links for relevance, editorial trust, and natural fit before buying or scaling link-building packages.


Backlink growth should look consistent with other authority signals, including brand search, content growth, mentions, and click behavior.

sionally. And like I said before, links are just one factor that Google uses. When you're doing SEO the right way, the signal you're trying to send to Google is that your business is growing, you're becoming more of an authority in your space. And Google has a pretty good idea of what this looks like when it happens authentically. You're publishing more content to your website...

Review link acquisition alongside brand demand, content publishing, online mentions, and search performance to avoid unnatural patterns.


Articles cited by Google AI Mode for target customer queries may be useful outreach targets because Google appears to trust those sources.

places. The next thing I recommend doing is building links with existing relationships. Try to think of every person or business you know with a website. You're then gonna reach out and ask if they can link to you. But don't worry, you aren't asking for a favour. You're gonna do this in a way that's mutually beneficial. There's typically three approaches. 1...

Build a review list of AI-cited articles for target prompts and consider ethical editorial outreach for inclusion.


Paying publishers or exchanging reciprocal links for inclusion in AI-cited articles may create disclosure, spam-policy, and trust risks.

risk/avoid: Do not treat paid or reciprocal link placement as a blanket recommendation; require compliance, disclosure, and search-risk review.


Large-scale SEO content pages are presented as a possible rapid traffic spike followed by collapse if Google detects manipulation patterns.

A company ever pitches you scaling SEO content pages, you have to know this is what you should expect. You will get the most tremendous increase up. This site had super sophisticated SEO content pages. They increased from 200,000 clicks a month in two months, 9.5 million clicks a month. Craziest spike up ever. It was very easy for Google to identify a manipulation pattern. This is what immediately happened...

risk/avoid: Do not recommend scaled AI content-page programs as a default growth strategy; flag spike-and-collapse risk in proposals.


Reviews are described as a major factor for both human research and AI-generated recommendations across many businesses.

Reviews are incredibly important for almost every business, much more important than most business owners realize. And it's one of the few things that a marketing agency can't handle for you. Whether a potential customer is doing research on their own or they're using an AI to get recommendations. Reviews are almost always one of the major factors, but they're also notoriously difficult to acquire...

Include review count, quality, recency, and platform coverage in AI visibility and local SEO audits.


Asking for reviews works better when built into the standard customer process at the moment of highest satisfaction.

Identify the customer-success moment and add a review request workflow with follow-up reminders.


When review platform priority is unclear, the creator suggests checking which review sites Google AI Mode cites for the category.

give them the product, tell them, we intend to give you five star service. We're gonna come back and ask you if we provided that five star service. And if we did, we're gonna ask you leave us a five star review. What this does is turn something that was a favor to you into a favor for your customer. You're giving them all the leverage...

Audit AI-cited review sites by niche, then prioritize review collection on the platforms that repeatedly appear in cited results.


Google Search may evolve toward agent-managed tasks where agents interact with websites to book, compare, check availability, or collect quotes.

The CEO of Google just said that Google Search is evolving into an agent manager. Let's talk about what he means by that and what this means for businesses that are doing SEO right now. Sundar Bachai was just on the Cheeky Pint podcast, and he's saying that soon when you enter a search into Google, it's not just going to return an answer. It's actually gonna spin up agents that can do tasks on your behalf...

Start auditing whether priority site workflows expose the information and interaction paths agents would need to complete user tasks.


Websites may need to be optimized for AI agents gathering information and interacting with pages, not only for human readers.

ure, we still need our websites to be usable by humans, but if we're not already there yet, very soon most users of our websites will be AI agents, agents gathering information from and interacting with our websites on behalf of a human. And humans are ultimately gonna be making decisions based on the recommendations of those agents...

Add comprehensive, structured information agents may need, and explore interaction standards such as web MCP for agent workflows.

Agent-readable websites / information completeness


Web MCP is presented as a protocol to watch for making websites easier for AI agents to interact with.

Track Web MCP as an experiment and evaluate adoption, security, and implementation maturity before treating it as a required website layer.


Combining distinct search intents such as portrait photographer and wedding photographer into one target phrase can miss how users actually search.

Your site has got two major issues that you need to address if you want any chance of ranking. First, nobody is searching for NYC portrait and wedding photographer. They want a portrait photographer or a wedding photographer. You need a page for each of these, but there is no point doing any of that until you fix this issue. Where is your meta title?...

Split pages by distinct service intent when search behavior supports separate targets.


Missing or weak meta titles are framed as a critical on-page SEO problem because titles communicate target keywords and page relevance.

Audit all revenue pages for missing/default titles and add keyword-aligned meta titles before deeper optimization.


Shopify AI Toolkit may enable bulk optimization of product listings, meta descriptions, and SEO text through an agent prompt.

Shopify just made SEO a whole lot easier. The Shopify AI Toolkit, manage your store with your favorite agent. This can be a lot more efficient than going through every product one by one, adding a ton more details for SEO, especially for merchants who have hundreds of skews. This is a video from Shopify. The prompt is optimize all my products for SEO. 32 product listings are optimized...

Treat store-agent SEO edits as a controlled workflow: backup first, stage changes, review diffs, and test before publishing.


Letting AI agents modify ecommerce stores without backups or operator understanding can break products, collections, or metadata at scale.

risk/avoid: Never run bulk ecommerce AI edits on production without backups, permissions, rollback plan, and human QA.


SEO strategies built mostly on informational blog posts are vulnerable because AI Overviews and chat tools can replace many informational searches.

Your website's SEO strategy is not AI proof if you're doing this, and it's the reason why so many of you are doing SEO and not getting anywhere. Google's AI Overviews and tools like ChatGPT are already taking traffic away from websites. We know this. It's happening whether you like it or not...

Prioritize commercial and transactional pages before scaling blog content, and use blogs only where they support a validated strategy.


Internal links signal important pages, pass ranking power, and improve crawlability, so messy internal links can be a fast SEO win.

Do you know what's going on with your website's internal links? Don't lie to me, I bet you don't. I've audited hundreds of sites, and fixing messy internal links has actually given some of the quickest SEO wins I've ever seen. Which is nuts because everyone focuses on back links and totally ignores the links they can actually control...

Audit broken links, redirects, top-linked pages, underlinked money pages, and contextual internal-link opportunities.


Fake AI-generated review videos can influence Google and AI systems when they rank or are cited, creating a brand reputation risk.

This is the new black cat SEO scheme you have to be afraid of. Every single video contains a brand name, then the word review. Every single one. These are all AI videos. If you ask ChatGPT about one of these brands, ChatGPT gets its information from one of these AI review videos. Here's another one of these YouTube channels. They don't even buy the products...

risk/avoid: Monitor fake review surfaces and do not imitate deceptive review schemes; escalate harmful false reviews for platform/legal review.


Publishing authentic customer reviews on YouTube and other highly visible platforms may help brands defend reputation where AI systems retrieve review content.

Create authentic, disclosed review/testimonial videos with transcripts/descriptions, and track whether YouTube/review content appears in AI answers.


Wrong Google Business Profile categories can hold back local map-pack visibility even when a business has more reviews than competitors.

I mean, there's a lot I could say about this website. It is not good. But you are a local business, so we are gonna look at local search results. Let's see who's ranking. You're not in the top 3 results. Cause anyone that doesn't go further than this and just clicks on these guys. Already not seeing you. Where are you? You are position 5. Okay, why are you calling yourself a home improvement shop?...

Audit GBP primary and secondary categories against currently ranking competitors and actual service intent.


Local SEO wins can come from optimizing Google Business Profile basics: categories, services, hours, description, real photos, and review acquisition.

Garage Door company hired us for $18,000. They made 1.7 million back in 11 months. Optimized Google Business Profile. This is what helps them show in Google Maps and the local map pack. Collected at least 10 legit reviews as fast as possible. Used real photos, not cheesy stock images. Please don't do that. Fixed hours, services, categories, description, everything properly...

Include GBP category/service/photo/hour/description/review checks in local SEO playbooks.


Hyper-specific local money pages targeting service + city + value proposition are presented as more useful than generic service pages.

Build location/service-specific landing pages where intent, service coverage, and unique proof support them.


Relevant local backlinks from local blogs, industry sites, journalists, and partner businesses are framed as stronger than broad fame-seeking links.

Prioritize relevant local relationship-based backlinks and coverage for local service businesses.


Expert intuition can be converted into AI skills by documenting a decision framework, testing it on real cases, and updating it from mistakes.

It's never been easier to replace yourself with AI. And I don't just mean, like, routine processes that you can write out of the checklist. I mean, like the really difficult stuff, the stuff we thought we'd never be able to turn over to AI. So I just wanna walk through exactly how I've been doing this and the major unlock I had recently...

Choose one recurring expert decision, draft the framework into a skill, run real cases through it, and update the skill after each critique.


Early AI skill outputs are expected to make mistakes; the expert's job is to itemize discrepancies and update the skill until decisions match the expert standard.

ut try to keep it small. For me, this would be things like keyword research or internal linking, resolving website technical issues, or proposing a site map structure. Pick one of these problems and create a skill in Claude. Now, you can use ChatGPT, or Gemini. I think skills work across all the models now, but I recommend Claude with Opus 4.6. If you've never made a skill before, don't worry...

Keep human QA and skill revision loops mandatory before handing AI SEO workflows to a wider team.


Keyword stuffing and outdated blog-style SEO tactics can make a commercial site look low quality and fail to drive revenue.

Are you kidding me? Oh, my. The keyword stuffing here is next level. There's no way this is ranking for anything. Yeah, I mean, the fact there's been, like, zero growth here does not surprise me. I'm gonna assume you're trying to rank for Tibet Travel Agency or similar. Aside from all of this nonsense, this is honestly giving travel blog. Um, why have you got comments? Absolutely mental...

risk/avoid: Remove keyword-stuffed copy, stale comment/blog clutter, and informational padding from revenue pages.


Rankings for informational queries may not make money when the commercial conversion content is buried or tacked onto navigation.

Rebuild commercial pages around buyer intent and make revenue-driving offers clear above the fold.


Scaled AI SEO content is framed as a spike-and-collapse risk and connected to Google's scaled content abuse guidance.

What a time to be alive. The AI vibe coding tool replicate. There's no longer an obstacle to creating SEO-optimized content at scale. And this is what it looks like when you do this. This site scaled AI content. It went from 275,000 clicks a month, you're not gonna believe this, to 9.5 million clicks a month. Now here's the part replets not gonna tell you...

risk/avoid: Flag AI content scaling without added value as a search-risk pattern; require originality, usefulness, and indexation controls.


AI does not automatically raise quality, but the right structure, context, and instructions can make some work better as well as faster.

If you think the main advantage of using AI is that it allows you to do the same work more efficiently, you're missing the biggest opportunity right now. And this was actually a mistake I made for the first few years after ChatGPT came out. It was immediately clear to me that we were approaching a world where AI could do the work as well as a human could...

Design AI workflows around context, review structure, and clear instructions instead of using AI only to increase output volume.


AI-native CMS architecture may benefit from content stored as structured files/JSON, typed databases, MCP servers, and model-readable documentation/skills.

lt with AI agents in mind. It needs to be built primarily for AI agents. And that's what endash does, right? All the post content is stored as JSON files. Each post type gets its own database, and every field in that post type gets its own column in that database. And all of this is easily parseable by AI agents. But maybe most importantly, all the documentation is written for AI...

Track AI-native CMS patterns for future website builds; evaluate parseability, agent operations, migration cost, and ecosystem maturity before adoption.

AI-native CMS / agent-readable structure


The creator argues WordPress may need deep refactoring for agent-native workflows, while newer CMSs like mdash are built primarily for AI agents.

Treat as a platform-strategy contradiction: compare WordPress plus plugins/MCPs against AI-native CMS options before recommending migration.


YouTube videos are claimed to be highly discoverable in Google and frequently cited by AI systems, making YouTube content a potential AI-visibility surface.

YouTube SEO growth is so explosive SEO tracking tools can't even keep up. The tracking tools are literally bugging out. They can't even calculate the traffic effectively. If this is true, YouTube is getting 1.3 trillion clicks a month from Google, even though Google only has 90 billion searches every month. If you are not making short YouTube videos on the topics your business cares about, please start now...

Test YouTube videos for priority business topics, with transcripts/descriptions aligned to target queries and citation monitoring.


Claims about YouTube SEO traffic may exceed SEO tool tracking capacity or include tool bugs, so raw traffic numbers need verification.

Treat extreme YouTube traffic/click estimates as low-confidence until validated with multiple data sources.


The creator argues YouTube can be a high-leverage SEO surface after a Google core update, especially for brand-relevant search terms.

This is either a bug or YouTube SEO is going to be the most incredible opportunity of our lifetimes. Oh look, YouTube wins another core update. Google has these things called core updates where they update their core search algorithms. YouTube is looking to be one of the biggest wins we've ever seen...

Test YouTube videos for priority commercial queries: use the exact query in the title, write for humans, and validate rankings and traffic before scaling.


A YouTube transcript can be repurposed into a natural SEO-focused description for the same search term.

For YouTube tests, generate descriptions from the transcript around the target query; keep descriptions human-readable and check against keyword stuffing.


The creator argues AI-native website platforms with MCP and CLI workflows can make sites easier for agents to build, update, and maintain.

rue. Most of the value in WordPress is all the plugins and themes and developers who are familiar with the platform. But I really don't think that's gonna be enough to keep EmDash or a similar platform from disrupting WordPress. And I'll explain why. But first, let's talk about how EmDash is better. It's far more secure. It solves the primary security issues that WordPress has with plugins and themes...

Evaluate AI-native CMS/platform options by how easily agents can safely edit, maintain, and deploy site changes through supported workflows.


WordPress can become harder for AI-assisted development when themes, plugins, and page builders keep more work in human-managed workflows.

Cloudflare just released a platform that could completely replace WordPress. It's called EmDash, and there's still a lot we don't know, but at first glance to me it just seems like better WordPress. So I just want to explain why I'm so excited and why my agency is jumping headfirst into mdash. If you don't know, Cloudflare recently acquired the HTML framework Astro...

For AI-heavy site workflows, assess whether the current WordPress stack exposes safe, structured paths for agents to make updates.


Generic AI-written blog posting is often outdated as a first SEO move; blogs may now need much more effort to generate meaningful traffic/leads than before.

Honestly, the biggest mistake I see business owners make when it comes to their website SEO is publishing blog posts. You are all publishing AI blog posts. Don't even lie. I know it, you know it, Google knows it. And before people chime in with "we publish blog posts and we rank," how much traffic are you getting? How much revenue has that generated for you?...

Treat blog posts as a later-stage content layer, not the default first SEO action; prioritize pages tied to revenue/search intent.


Brands can lose narrative control when competitors rank for “[brand] alternatives” and the brand’s own comparison page poorly satisfies intent.

One of the top SEO platforms is losing at SEO in a massive way. If you search Semrush alternatives, you see them getting bodied by all of their competitors. Their competitors put up pages saying that they are the best alternative to Semrush. This is how to see if Semrush has any content on this. It does. The content is really bad...

Create high-quality own-brand alternative or comparison pages that answer buyer questions clearly instead of thin programmatic pages.

Competitor comparison / brand SERP defense


Rapidly scaling large volumes of AI-generated SEO pages may create short-lived traffic spikes followed by severe Google traffic collapse.

All of these websites have the same exact downfall. They all use the same tactic, experience the same growth. Here's this one. Here's this one. Here's this one. The tactic they all use: scaling AI SEO pages. They put up a ton of SEO pages generated by AI, put them up really fast. It worked for a little bit, worked for a little bit, then it stopped working. This is a huge trend that nobody is talking about...

risk/avoid: do not recommend mass AI page generation as a growth tactic; if tested, require quality gates, intent validation, crawl controls, and rollback criteria.


Poor meta title optimization and disorganized heading structure can undermine otherwise visually acceptable websites.

You guys have got to stop hiring web developers that don't know what they're doing. And I bet you they told you SEO was included in this project. What? There's a lot wrong here. I'm gonna show you the most important things. But I go into this in depth in the SEO Clinic if you wanna address all of the SEO issues...

Include title tag and heading hierarchy checks in every website SEO audit; verify rendered headings, duplicate/empty headings, and search-intent alignment.


Smaller high-intent landing and product pages may win AI search citations more often than broad informational articles.

There's a growing trend in search engine optimization. Smaller, high intent pages are winning the citations. These are what are getting cited most in AI search. Recent research from Prompt Watch said the same thing. Landing pages, product pages cited the most in AI search right after listicles. These are what these high intent pages look like...

Build tests around high-intent pages with query-aligned H1/title, clear CTA, direct commercial intent, and evidence-rich copy.


Low-intent informational articles may be less effective for AI visibility and conversion than pages targeting purchase, use, or discovery-call intent.

Prioritize commercial-intent page inventory before scaling informational articles, mapping each page to likely buyer and AI-search scenarios.


The workflow starts with buyer or AI search questions, records expert video, converts the transcript to articles/social posts, then distributes the video.

I want to just lay out our top digital marketing strategy. This is the S tier, meta, number one content workflow for getting more leads to your business. I've been developing this workflow for two or three years now. It's how we blew up our digital marketing agency. It's the number one thing I recommend to all of our clients, and almost none of them do it because people aren't willing to do step number two...

Build one expert-led topic into a video, website post, social posts, and platform-native video assets using the same search-focused topic.


AI-search topic research should focus on hyper-specific buyer questions rather than broad, highly competitive terms.

Brainstorm or collect specific buyer questions such as comparison, cost, and local decision queries before creating content.


Republishing one expert topic across website, social, and video platforms can create multiple chances to appear for the same search topic.

topic. And yes, I mean you. You have to be in the video or some expert in your organization. But don't overthink it. I recommend spending no more than 20 minutes per video. I have another video on my channel called how to easily create videos as a business. Step 3, you're gonna take the transcript of that video and turn it into a blog post for your website...

Start each republished article title, caption, or post with the target topic so each surface can match the same buyer question.


Persistent AI memory could improve knowledge work by automatically accumulating brand, industry, process, and task context.

The entire source code of Claude was just leaked, giving us a ton of insight into the features that are coming out soon. There are a ton of implications to this leak, but I just want to talk about what this means for people who are using Claude or thinking about using Claude in their work...

Treat persistent memory as a process-design opportunity: decide which brand and workflow context should be captured, organized, and reused.


Replacing isolated tasks with AI is less powerful than redesigning full business processes around AI capabilities from first principles.

. Maybe a specific step requires a human to go into a specific piece of software or multiple pieces of software. Well, AI can already use most popular software, and I think it's safe to say that within a few years, if your software can't be used by AI, it will be obsolete. Now, I'm not saying you can replace all the humans in your company...

For AI visibility/content operations, redesign entire workflows—research, evidence gathering, drafting, QA, publishing, monitoring—rather than only adding AI to drafting.


Many AI workflow blockers may be solved by giving the model better context, memory, decision frameworks, and software access.

in a thousand different ways with the ability to be multiplied a thousand times. If you were to hire an exceptionally talented person to your team right now, you'd be foolish to just give them your existing processes and say, hey, follow this checklist. No, you would start from first principles. You'd start with the goal in mind and you determine a process that works with the talents of this person...

Document expert decision frameworks and maintain agent-accessible context stores before delegating SEO/GEO/AEO processes to AI.


A missing or generic meta title can block ranking for competitive keywords even when other page content exists.

If you are ignoring this, your website is never going to rank on Google. I've easily audited over 100 websites, and this is the most common issue. And it's the number one thing to optimise to give you the best result. This website is trying to rank for a super competitive keyword. I'm actually gonna show you how competitive. Thousand searches per month, 55% keyword difficulty. It's not easy to rank for...

Prioritize unique, intent-aligned title tags on money pages before deeper content expansion.


Replying to comments is claimed to drive much more social visibility than passive likes, based on leaked X signal weights and creator experience.

X leaked its own algorithm. Most people completely missed it. The most insane thing, pay attention here. You get a 75 times visibility boost if you are responding to comments. Retweets, 20 times visibility. Replies, 13.5. Profile clicks, 12. Link clicks, 11. Bookmarks, 10. Likes, just one. A single conversation where someone replies, where you reply back, is worth 75 times a like...

Treat as an unverified experiment: respond to substantive comments consistently and measure reach and engagement lift without citing leaked weights as fact.


Homepage heading structure can fail SEO when the H1 gives no context, decorative sliders are marked as headings, or important business description is buried in lower-level headings.

Gonna have to be brutally honest here. No, you are not on the right track. I'm not gonna be around the bush. Let's go straight to the problem area. This is the content structure that your homepage is giving to search engines. So this is what they're using to figure out what you're about. Your most important heading on the page is giving nothing...

Audit rendered homepage heading hierarchy; make the primary value/category statement the H1 and remove decorative/duplicated heading markup.


The creator argues Instagram has major Google and AI visibility, and that authentic review posts can support brand-review searches and LLM due diligence.

The key to ranking on Google is posting on Instagram. This is Instagram's all time growth in Google search for organic traffic. Notice the spike up right now? Here's how many keywords Instagram ranks for on Google. Here's the same spike. Instagram gets 7.1 billion clicks a month from Google, up 17% from the previous month. It shows on Google for 1.6 billion keywords...

Use Instagram as one review-distribution surface with authentic reviews and clear brand/review language; monitor indexation and AI retrieval.


Publishing positive review content to bury negative news is presented as a reputation tactic.

risk/avoid: do not recommend manipulative suppression or fake-review tactics; only distribute genuine customer evidence transparently.


The creator argues Google spam risk is about low-effort content quality, not whether every draft word was written by AI.

on in their traffic pattern. So how did we avoid being hit, do you actually need to worry about getting hit by one of these spam updates? First, you need to understand that Google doesn't care if you're using AI to generate your content. All I care about is the quality of the content. The thing is, it's really hard for their algorithms to detect quality...

Evaluate AI content workflows for research depth, client context, brand fit, quality checks, and search-intent satisfaction.


The creator checked client Search Console data five days after the spam update to assess whether traffic patterns changed.

Google just released their March spam update. This was an update targeting low quality content generated by AI. As someone who runs an agency that generates a large volume of AI generated content for about 40 to 50 websites, I just want to talk about the impact this has had on our clients. So Google releases a few of these spam updates every year, and they can target a couple different types of spam...

After a spam update, wait for enough data, then compare Search Console traffic patterns across affected sites before drawing conclusions.


ChatGPT/Perplexity-style answers may perform multiple searches from one prompt: broad discovery first, then deeper site/operator searches around found companies.

This is all from one ChatGPT prompt. ChatGPT is doing 7+ searches. It's doing all of these searches in a search engine. It starts with a broad search like this, then it goes deeper into each company that it found. It's using the site colon search operator to search websites of the companies it found in its original search. This is all from a normal single ChatGPT prompt...

Research likely initial LLM discovery queries and downstream due-diligence queries; create content for both discovery and validation stages.


Scenario-specific landing pages with documentation on why a company fits that scenario may perform well in LLM recommendation flows.

Create scenario pages for high-fit buyer situations; include evidence, use cases, proof, FAQs, and conversion CTA, then track AI citations/recommendations.


Reviews distributed on high-click/search-visible platforms such as YouTube, Facebook, Instagram, TikTok, and X may support LLM due diligence after initial brand discovery.

Republish authentic reviews/testimonials across selected public surfaces with consistent brand/entity language; avoid fake or mass-spam posting.


LLMs may ground recommendations through follow-up searches about brands they discover; positive brand evidence on public platforms can influence whether a brand is recommended.

Nobody realizes what's happening behind the scenes with large language models. Everybody thinks it gets its information from its training data. When you put in a prompt, it does a search using perplexity. Here we see the searches. This is where it goes deeper. It does something called ground and queries based off what it learns from its original search...

Build public, crawlable brand evidence assets using natural due-diligence language such as review, rating, testimonial, legit, scam, and real; verify with AI search tests.


The tactic of seeding positive “legit/scam/review” language can become manipulative if used to manufacture trust or obscure real issues.

risk/avoid: use only truthful, attributable reviews and transparent reputation assets; do not fabricate reviews or bury legitimate criticism.


SEO investment depends on brand establishment, search demand, and competition; brand-new startups may be better served by ads or social.

e more effective for you. And the third and smallest factor is how competitive your space is. If your direct competitors are larger, more established brands who are maybe investing more in SEO, it's going to be harder. The reason this is the smallest factor is because all forms of marketing are gonna be harder in that case...

Score SEO fit by brand maturity, customer search behavior, and competitive difficulty before committing agency-level spend.


Basic SEO for local businesses includes a website, searched-service page titles, a complete Google Business Profile, and reviews.

Should you be doing SEO for your business? The short answer is almost certainly yes. I think the better question is, how much should you be investing in SEO? Essentially, every business should have a website. The titles of the pages on those website should match what people are searching for when they're in need of your product or service. If you're a local business, you should have a Google Business Profile...

Complete the low-cost local SEO basics before evaluating heavier monthly SEO investment.


The creator reports faster AI-search feedback cycles than traditional SEO, closer to three months than six to twelve months.

t nonetheless unpredictable. But also, you don't have to be as patient as you used to be. We're seeing results in AI search much faster than we did in traditional search. Instead of having to wait six to 12 months to know if it's working, now it's more like three months...

Set AI-search tests on a roughly three-month review cycle, while still treating SEO as a long-term investment.


Standard GA organic-search filters may exclude AI search engines/referrers, causing agencies to underreport AI search performance and conversions.

If your SEO Agency isn't all over this, you need to cut them loose. I'm gonna assume that your SEO Agency is reporting on things like traffic, maybe conversions, and rankings. And they're probably getting all of this data by filtering your Google Analytics stats by organic search. But this filter only shows traffic from Bing and Google. It doesn't include AI Search engines at all...

Add AI search/referral tracking to reporting: ChatGPT, Claude, Gemini, Perplexity where identifiable; separate from traditional Google/Bing organic.


Google Ads and SEO do not automatically compete because some users click ads while others skip to organic results.

Should you run Google Ads or should you do SEO? I started talking about this in yesterday's video, but this is a common misconception. A lot of people have this idea that if you run Google Ads and do SEO, you're competing with yourself, and I just want to talk about why that's not the case. Now, of course, the primary goal of Google Ads and SEO is the same. It's to show up in Google search results...

Evaluate paid and organic search together by user behavior segment instead of assuming every ad click cannibalizes SEO.


In AI results, labeled ads may still coexist with organic AI responses, and organic visibility may affect ad clicks or conversions.

s looks does change a little bit with AI Search results, but the core principle is the same. If you don't know, in AI Results, the sponsored ads are still clearly labelled. In that case, many users will still ignore the ads, but others won't. The main difference with the AI Response is that many people will see the organic response and the ads...

Monitor AI results for both labeled sponsored placements and organic recommendations before changing paid-search strategy.


Brand-name ads can cannibalize organic clicks, but may be justified when competitors bid on the brand and capture confused users.

Check whether competitors show ads on your brand terms, then decide if a small defensive brand-ad budget is warranted.


Meta titles should place target keywords and clear product/category context early; vague brand phrases before the actual category weaken relevance.

I mean, like, where is the context here? There's nothing. Let's have a look at what you're telling. Oh, my goodness. What is going on here? Right, so this is your meta title. It's arguably one of the most important on page SEO Elements. The closer your target keywords are to the beginning of it, the we've got four completely random, it seems words before you're giving context. That you're a tile store...

Audit meta titles for unclear leading words and rewrite them so page type, product/category, and intent appear early and naturally.


Empty H1s and repeated product-name-only copy give search engines little context about what the page actually sells.

Add a single clear H1 and supporting copy that describes the product/category, use case, and differentiators.


Generic AI-written product descriptions without useful context are framed as low-quality content that can weaken product-page relevance.

risk/avoid: Do not publish raw AI product descriptions; require human review, product-specific detail, and search-intent alignment.


The creator argues that authority sites can benefit from a Google update and recommends backlinks and press coverage as authority signals.

Google just dropped a new major update. If you have a site with authority, you can absolutely go to the moon. Good morning. Anti spam update. This is USA Today's listicle site. Here is what is happening because of this update. What you have to do is clear. Get backlinks, get press. Do it aggressively. Free SEO knowledge com. There are a ton of strategies to build backlinks here...

Review as an authority-building hypothesis; validate against actual SERP movement and prefer earned editorial links over manipulative link schemes.


“Get backlinks, get press aggressively” can drift into unsafe link acquisition if interpreted as spam, paid links, or low-quality PR.

risk/avoid: Do not recommend aggressive link building without quality, relevance, disclosure, and spam-policy controls.


The creator says landing pages and product pages are often cited in AI answers and can target high-purchase-intent language.

I am telling you, compact keywords SEO pages are going crazy in AI landing pages. Product pages. Some of the most cited content in AI landing pages are cited 15% of the time. Product pages are cited 14% of the time. This is what type of content gets cited by ChatGPT. This SEO course shows you how to make SEO landing pages, SEO product pages, 15% of the time. Citations. 14% of the time. Citations...

Treat this as an AI visibility hypothesis: compare product/landing-page citation rates against blog/article citations by prompt cluster and purchase intent.


The creator argues not to focus only on how/what/why informational blog SEO when bottom-funnel landing/product pages may sell better and appear in AI answers.

Prioritize review of revenue pages and bottom-funnel keyword pages before expanding generic informational blog content.


Keyword research should prioritize terms with commercial or transactional intent instead of broad head terms alone.

I'm gonna show you how to do keyword research because a lot of people don't know how to do it correctly, and we're gonna change that. First, we're gonna go to your keyword research tool. I like to use Semrush for this, but any good keyword research tool will do. And no, you're not gonna use ChatGPT. You're gonna start out by searching for the keyword that you think you wanna rank for...

Filter keyword research by buyer intent before mapping pages or producing content.


If a site already ranks in the top 10, those ranking pages' keyword difficulty scores can be used as a benchmark for realistic targets.

Use current top-10 ranking competitors as a difficulty benchmark when selecting target keywords.


Product descriptors such as scent, type, or use case can reveal reachable long-tail keyword opportunities with buying intent.

Build keyword lists from real product attributes and validate volume/difficulty/intent before creating pages.


The creator claims Shopify merchants can syndicate products into AI chat channels and enable conversational checkout, including without a full Shopify store.

Shopify people do not miss out on this. Millions of merchants can sell in AI chats. Starting this week, merchants can sell to ChatGPT users via agnostic storefronts. This is insane. Gives out of the box access to major AI channels, chat, GBT, Copilot, AI mode, Gemini managed centrally from the Shopify admin. If you're not using Shopify for e commerce, they have this thing called the agentic plan...

Verify current Shopify AI commerce availability and requirements before adding product-feed readiness to ecommerce AI visibility audits.


Rich product descriptions and consistent off-site reputation language are claimed to help AI systems recommend ecommerce products.

Audit product descriptions, reviews, and off-site mentions for clear repeated product language, attributes, and buyer-intent terms.


Customer reviews are framed as useful language and reputation signals for AI recommendations in ecommerce.

Mine review language for recurring buyer phrases and product attributes, then reflect accurate themes in product copy and off-site profiles.


AI-generated marketing strategy can waste resources when it over-prioritizes low-impact schema, bad keywords, or minor performance fixes.

'd provided a bunch of context about their brand that Opus would need to put together the plan. But as I looked through the plan, it was very clear that they were going to waste a ton of resources if they followed this. So I couldn't help myself. I made a 20 minute loom video breaking down the plan and all the problems with it...

Before implementing an AI-generated strategy, have a domain expert review prioritization, keyword fit, and expected impact.


The creator argues that an expert plus AI can produce a stronger strategy than AI alone when expert critique is fed back into the model.

Please do not let AI come up with your digital marketing strategy. I have a really interesting story I want to share about someone who did this recently, and it illustrates how we're not yet to the point where AI can replace real experts in coming up with strategy. Kind of like when you look back when computers could first beat the best chess players in the world...

Use AI for strategy drafts, but route major plans through expert critique and feed that critique back before implementation.


Adding structured data across many pages can be a poor SEO priority when it is unlikely to affect rankings or outcomes.

Audit schema recommendations against likely SERP impact before spending implementation time across many pages.


Text baked into images is not a reliable substitute for crawlable page text; search engines need readable on-page text to understand the offer.

Oh, man, so many of you make this mistake on your website. This text here, it's on the image. It's not, like, overlayed on the image. It's like the text has actually been put onto this image before it's been put on the website. Search engines can't read any of this. They scan your text content, which, to be honest, there's very little of it here. Oh, my good God, I didn't realise it was this...

Audit hero images and banners for critical text that is not present as HTML text; add crawlable copy and accessible alt/context.


Search engines interpret page language literally; pages should say what the business does rather than vague brand statements about what it is not.

Replace vague positioning copy with clear product/service/category language near the top of important pages.


Broad collection pages like “dog food” may be too competitive; more specific collection pages around product type/attribute can target easier, useful demand.

Create specific collection pages only where inventory supports the query and keyword research shows reachable demand.


The creator says conversion-oriented landing and product pages can appear in AI answers, citing landing pages at 29% of citations.

This is intense. Everybody thinks articles are the best way to appear in ChatGPT. Conversion-based SEO landing pages are cited 29% of the time. Landing page, product page. They are dominating. Everybody thinks you should be making blog posts like this. No, you should be making conversion-based landing pages like this, targeting specific keywords...

Test conversion-page inclusion in AI answers for service, SaaS, and ecommerce prompt sets before assuming blog posts are the main citation asset.


Conversion-based landing pages should target specific keywords rather than generic blog-style information topics.

Map bottom-funnel keyword clusters to dedicated landing/product pages where the business can satisfy the intent.


Google Ads are a weak fit when target customers do not know the product exists or do not know what to search for.

Should you run Google ads or should you do SEO? This is a question I get asked a lot. However, I think the framing of the question is wrong. There's a misconception that doing both would mean competing with yourself. I'll explain why that's not the case. But first let's get to the core question. Or really questions. Should you do Google Ads and should you do SEO?...

Before running Google Ads, verify active search demand and shared buyer vocabulary for the product or service.


The creator says reliable Google Ads CPA estimates require running ads because planning tools and anecdotes are only rough guides.

ition? Unfortunately, you pretty much have to run ads. Yes, you can use Google's Keyword Planner, but it's not gonna give you a very clear idea. One step better would be going to Reddit and asking people in your industry what they're paying per acquisition. But that's still only gonna give you a rough estimate. To really know, you have to start running ads...

Use Keyword Planner and peer benchmarks only for rough sizing, then run a controlled ad test before scaling spend.


Google Ads can waste money quickly if managed poorly or if budget is too small relative to management fees and learning needs.

risk/avoid: Do not recommend ads without competent management, minimum viable test budget, tracking, and stop-loss criteria.


Traffic and rankings are weak success metrics if conversion data and revenue are not improving.

Ranking on Google means absolutely nothing if this one thing is missing. If you're focusing on traffic or rankings, but this metric is not increasing, I hate to break it to you, SEO isn't working. Traffic is a vanity metric. Rankings are a vanity metric. They don't pay the bills. What actually matters is your conversion data. SEO is meant to connect search intent with revenue...

Include conversion and revenue tracking in SEO reporting, and evaluate pages by intent-to-revenue fit.


SEO should connect search intent to revenue, because broad educational terms can bring traffic while specific commercial terms bring customers.

Segment target keywords and pages by commercial value, not only volume or ranking potential.


A sitemap-level topic analysis can reveal when a site has too much content unrelated to its money-making topic, which may weaken SEO and LLM recommendations.

This is crazy. You plug your sitemap into this website. Just go to whatever your website is forward slash sitemap.xml. Then this looks at all the pages and posts on your site. It tells you what your website is about with different percentages based on what you write about. Here's my site. I write about social media a lot and search engine optimization a lot. Growth marketing, too...

Run periodic topic-distribution audits and flag unrelated content for consolidation, noindexing, or pruning review.


The creator claims cutting unrelated content can clarify site focus and may help search rankings and LLM recommendations.

Treat content pruning as a controlled experiment; require baseline traffic, ranking, and AI-visibility measurements before removal.


The source claims YouTube mentions correlate strongly with ChatGPT visibility when a brand appears in channel names, titles, descriptions, transcripts, or links.

YouTube mentions showed the strongest correlation with ChatGPT visibility. This is when your brand name appears in a channel name, title, description, transcript, or link. The most obvious way to start getting YouTube mentions is to just publish videos on YouTube. If you Google Edward Stern social media posting strategy come this top result my exact social media posting strategy...

Include YouTube entity and mention coverage in AI visibility audits, validating correlation by niche and prompt set.


Putting target keywords in YouTube video titles and descriptions is recommended to improve search and possible AI visibility.

Add title/description keyword alignment to YouTube content QA, while preserving natural language and accuracy.


Short-form videos distributed to YouTube, TikTok, Instagram, and LinkedIn are framed as multi-surface assets for search and AI visibility.

Test repurposed short-form video distribution as an entity and mention-building channel, measuring search visibility and AI citations.


Multiple random H1s and missing service/product information can leave a page with no realistic rank target beyond the brand name.

I hope you're ready for some tough love, because I've got to be brutally honest with you here. What exactly are you expecting to rank for with this? Your name? Of course. You've got 3 random H1s that don't even make sense and you should only have one. You are giving search engines nothing to work with. I'm gonna assume that this is the kind of stuff you wanna rank for...

Ensure each important page has one coherent H1 and enough context to match a specific search intent.


Screaming Frog exports of indexable titles and meta descriptions can feed topic-cluster mapping to reveal off-topic site content.

I really can't believe this is free. This graphs all the different topics of your website. You might think your website is about one thing, but then you find that half of the topics on your site are about something very different. This is Hubspot's Google traffic. Hubspot was writing about a ton of things unrelated to their brand. Google's algorithm started prioritizing having authority to a specific topic...

Add crawl-based topic-cluster mapping to content audits for sites with large content libraries.


Publishing too much unrelated content is framed as making it harder to win traffic for topics tied to the core business.

Review off-topic clusters for business relevance and organic value before deciding whether to improve, consolidate, noindex, or remove.


Publishing AI-generated SEO content without adding anything new is presented as unlikely to rank or create long-term value.

Whoever told you that you can use AI SEO content has done you completely dirty. The whole "you can automate your SEO content with AI" has got people running around publishing the most trash content that is never gonna rank. The majority of people that are following this advice do not know what they're doing. If you get the content from AI and you don't add anything else to it, AI already has that content...

Use AI drafts only with original expertise, data, examples, and editorial review that add something new.


The creator argues AI-generated generic content gives algorithms nothing new because similar information already exists elsewhere.

Add originality/unique-value checks to content briefs and AI-assisted drafts.


Perplexity can reveal web searches it performs for prompts, giving clues about retrieval language behind AI answers.

Here's a sneaky way to get your brand recommended in AI for free! Go to Perplexity, put in a prompt. Perplexity will show you the exact web searches that it did to gather your answer. Run a few similar prompts. Make sure you are always keeping track of the searches that Perplexity does. Now with the searches you got from Perplexity, head over to ChatGPT. Hey, my target keyword is put in your target keyword...

Use Perplexity search traces as experimental prompt-retrieval research, not as definitive proof of all AI model behavior.


The creator proposes creating a main AI-targeted article plus supporting FAQ pages answering related questions to pass authority and cover AI retrieval queries.

Review as an experiment: build FAQ/supporting pages only when questions have real demand and answers add unique, accurate value.


The workflow uses ChatGPT/Perplexity to draft article and FAQ answers; without heavy review it risks generic, hallucinated, or low-value AI content.

risk/avoid: Do not publish AI-drafted articles/FAQs without factual review, original expertise, brand fit, and quality controls.


Important commercial pages should be easy to reach from primary navigation, not buried in the footer.

This site is making a huge SEO mistake that I see a ton of you making all the time. Rather than just slating it, I'm gonna show you how to fix it. Before we get to that, the fact that you don't have a link to your motor homes up here is nuts. Had to scroll all the way down to the footer after your homepage. This is the next page that people are gonna wanna see...

Audit navigation for priority service/product pages and move high-intent pages into visible menus where appropriate.


Pages targeting specific buyer attributes such as “6 berth motorhome hire” can capture high-intent searches that broad category pages miss.

Create dedicated attribute/service pages for validated high-intent searches when the business genuinely offers those options.