The creator says ChatGPT web-search query language can be inspected in network responses and reused for H2s or new content.

And get shown more in ChatGPT? Uh, yeah. Go to ChatGPT, put in your prompt fashion trends for this winter. Right click inspect. Go to network in the URL, copy what comes after forward, slash C. Paste it in the filter. Now refresh the page. Click the orange brackets with the code you just put in. Go to response. Search this code for the word queries. Now you can see what ChatGPT searched the web with...

Treat AI-query inspection as an experiment; test matching content sections against real prompts and outcomes.


New web apps can target people searching for use-case-specific solutions before those users know a brand.

Here's how to vibe code a startup into a unicorn. First Vibe Code the most simple web app possible. Bubble.io is great for beginners. Here you use natural language to have your app made. Make it freemium, use free for X many times, then you have to pay. Then launch it on Product Hunt and betalist. It probably won't go viral, but it will be good for getting initial backlinks...

Build landing pages around concrete use cases and niches, then use customer requests and search behavior to guide product expansion.


Product Hunt and BetaList launches are framed as useful for initial backlinks even if they do not go viral.

Use launch-directory submissions as early discovery and backlink assets, but do not rely on them as the primary growth channel.


Creator impersonation can persist even after platform reports, creating scam risk for audiences.

So it turns out someone's impersonating me on TikTok. They're using my name, my profile picture, and posting my videos. So if you get a DM from me, it's probably not me. It's probably this loser trying to scam you. I have reported this to TikTok multiple times now.`n`nAnd each time TikTok's automated response has told me that this does not violate their community guide and that just because I don't like this...

Include social impersonation monitoring and explicit official-handle guidance in reputation/brand-protection workflows.


LLM productivity improves when work is restructured into clear inputs, iterative consideration, and specific structured outputs.

hatGPT and Claude. Now I do think Opus 4.5 gives 5.2 a run for its money with this kind of work, but when you're able to provide very clear instructions and request a very specific structure for the output, 5.2 seems to be the current leader for this spreadsheet type work...

Build AI workflows around structured input/output specs, not only human SOP checklists.


The creator says share preview images matter because many users see only the OG image before deciding whether to click.

The shareable image preview for your website is always neglected. It's called an OG image. This is what remove BG, the remove background tool, did. At first it was plain, gave very little insight into what the tool actually did. Changed it to this. You see the background being perfectly removed from somebody, even with one of the hardest things, hair...

Review OG images before launch and make the preview communicate the page value quickly.


The creator says most visibility gains come from purchase-intent content plus links or brand mentions around the internet.

Most SEO agencies want you to think that SEO is really complicated. They'll send you proposals with 20 super technical sounding things they need to do to optimize your website. The truth is, while there are hundreds of things you can do to improve your visibility online, there are really only two things that make up 90% of the difference. They aren't technical at all...

Prioritize intent-mapped content and relevant authority or mention acquisition before expanding technical SEO task lists.


Main target terms should appear in the H1, meta title, and if possible the URL slug, with secondary terms in H2s or subheadings.

Add a basic on-page checklist for new and existing key pages, including the homepage.


For local businesses, the creator presents Google Business Profile as a third important visibility factor.

Audit Google Business Profile completeness for local clients before treating broader local visibility work as solved.


CTR manipulation can create a temporary ranking lift, but the creator warns it breaks Google terms and can risk Maps removal or ranking harm.

I wanna talk about a black hat SEO tactic that's becoming more common recently. It's called CTR or click through rate manipulation. This is a tactic that can help you rank higher in Google search results, but it breaks their terms of service. And yes, it really can work...

Mark CTR manipulation as risk/avoid. If a competitor is suspected, document confidence before using Google's business redressal path.


Google Search Console is beginning to expose traffic to social channels, making social posts more measurable as search assets.

Google Search Console is starting to show you traffic to your social media channels. I wanna talk about why I'm so excited about this and why social media is becoming more important for your SEO campaign. So over the last year or two, Google has added more and more social media posts to their search results. Instagram posts, X post videos like TikTok, YouTube, LinkedIn posts, LinkedIn articles...

Monitor social-channel reporting in Search Console and use query data to optimize search-visible social posts.


Social posts can rank for competitive Google terms, especially for smaller brands, and keyword-frontloaded captions may help.

Test keyword-frontloaded titles or captions on search-visible social posts; avoid spam patterns and measure actual GSC results.


Fake or unbuilt viral stunts can attract links, but the example relied on journalists believing an app existed.

This personal credit company launched an app. It was a competitor to Tinder. You could only join if your credit score was over 675. And this went viral because it annoyed some people. Some people loved it. Others just thought it was plain interesting. So it went viral. It was getting all these links. But kicker, they never actually built the app. The journalist never even tried it...

Treat deceptive linkbait as risk/avoid; preserve the broader idea of genuinely useful/interesting linkable assets for separate validation.


A reported TLDR block near the top of articles or product pages increased conversions by 33% by giving users faster clarity.

This guy added a TLDR to his pages to increase conversion rate by 33%. For articles, he added a short 2 to 3 sentence summary at the top. The summary gave the main points right away. For product pages, he wrote a summary of the product's features and benefits, placed right under the title. The short 2 to 3 sentence TLDR this guy saw an increase in conversions of 33% across articles and product pages...

A/B test short answer-first summaries on articles and product pages, measuring conversion, engagement, and downstream quality.


LLM-citation tools can turn top cited URLs into blog topic candidates by filtering articles, deduplicating titles, and removing irrelevant topics.

I wanna quickly share my new favourite tactic for picking blog topics that'll help you get recommended by large language models. Picking the right topic for your blog posts is by far the most important part of content marketing. Pick a topic that people aren't searching for, or that doesn't have purchase intent, or that you have no business ranking for, And you're wasting your time...

Test a cited-source export workflow as one input for GEO topic planning, then manually review relevance and purchase intent.

LLM citation research / content ideation


AI Mode and LLMs can expand one prompt into a series of related searches, review many pages, and synthesize an answer.

Google just moved one step closer to traditional search results being replaced by AI mode. They just rolled out a wider version of a test they ran in October.`n`nWhen you run a search in Google and see the AI overview, they'll be a show more option that expands the answer and below the expanded answer is a chat input where you can start a conversation with AI mode...

Plan GEO around many hyper-specific source opportunities and cited-source tracking, not only a few head terms.


The creator predicts traditional SERP ranking will become less central than being cited across many sources used by LLMs/AI Mode.

Treat as a strategic hypothesis: track cited sources and publish hyper-specific content across multiple platforms.


Crawling a competitor with Screaming Frog and sorting blog pages by unique internal inlinks can reveal which content the competitor values most.

Your SEOs are going to hate me for sharing this. Go to screamingfrog.co.uk you can use this for free. Put in a competitor website, click start. The bot will crawl the competitor website. Filter for HTML filter for their blog. In my case it's forward slash articles. Now just blog posts are showing. Scroll far to the right, sort by most unique inlinks...

Use competitor internal-link analysis to identify core articles, topic clusters, evergreen content, and content gaps.


Google is experimenting with showing social-channel search performance in Search Console, including reach, queries, and audience data.

Google will now show you what your social channels are showing in Google. Search for keywords. How many people are clicking on your social channels. This is a screenshot for how it will look. Detected channels right here. Here are YouTube videos showing up in Google Search Console, Google's own tool for accessing their search index. This is a new announcement from Google...

Track the Search Console social-channel experiment and test search-optimized social posts as visibility assets.


Ecommerce SEO should build a topical map around products, categories, subcategories, and supporting informational content instead of random blogs.

The reason why your website isn't ranking on Google even though you've done SEO is because you're doing it wrong. My name is Kate, I'm an SEO Specialist. It's literally my job to get websites ranking on Google. Whenever I get a new client who has done their own SEO, or worked with a previous agency, but ultimately hasn't got results, the reason why it hasn't worked is always the same...

Map product, category, and subcategory pages first, then add supporting informational articles around audience questions and buyer topics.


A content pipeline can capture expert answers once, then repurpose them across website, social, and video platforms.

Digital marketing is changing fast. Everything is becoming search. It doesn't matter if it's a traditional search engine, a large language model, TikTok, YouTube, it all comes down to your content being chosen by the algorithm. The most successful brands in this new world are gonna be those with the best content pipelines...

Collect customer questions, record expert answers in batches, and repurpose the material into platform-specific content.

Content pipeline / multi-platform distribution


The creator frames quality as authenticity and helpfulness, not polish, because polished content can feel like advertising and take much longer.

Test expert-led formats where speed and usefulness matter more than production value, while keeping brand quality standards clear.


The creator says many GEO proposals overemphasize FAQs, NLP-friendly formatting, structured data, or llms.txt.

Every SEO agency is now claiming they'll help you rank in large language models.`n`nBut when you look at their plan for doing this, you'll see that almost none of these agencies are actually doing anything that will help you get recommended by large language models. So I wanna talk about what these agencies are calling GEO or AI O...

Treat website-structure-only GEO proposals as insufficient without source tracking and experiments.


Agencies should track sources LLMs use before recommending a brand and identify key directories and discussion threads.

things make an impact in AI visibility truth is those of us that are actually running the experiments to see what working are figuring all this out in real time. Most SEO agencies don't want to spend the resources to figure out what's working now and for the last 10 years that's been a fine strategy just let other people do the work figure out what's working and share it online and then copy their strategy the...

Build GEO audits around prompt citation tracking, directory presence, and discussion-thread opportunities.


Because GEO tactics change quickly, the creator recommends regular experiments and continuing only what shows results.

Maintain a monthly GEO experiment log with hypothesis, result, and continue/stop decision.


LLM discovery can turn one buyer conversation into multiple specific searches based on the user's context.

rds large language models affect your strategy? We're moving from a winner takes all economy to a situation where there can be many winners. In traditional search, the average business is fighting over a few very competitive, very common search terms. If someone is going to Google search to look for a dentist, as a dentist, you need to be in the top three positions...

Map likely conversational buyer scenarios and create content for specific needs, constraints, and modifiers, not only broad head terms.


LLMs may inspect more result depth than humans, so visibility can come from pages beyond the top three traditional rankings.

For priority prompts, test whether target LLMs cite sources beyond top results before scaling broader content coverage.


The creator argues AI discovery rewards brands that publish more content and are discussed more often online.

Build authentic public brand evidence across owned and earned surfaces; risk/avoid fake reviews, spam comments, or low-quality mass posting.


New or low-traffic sites should connect Google Search Console, submit important URLs, and submit sitemap XML for discovery.

Unless you're naturally getting a lot of traffic and you don't tell Google about yourself, Google is not going to know that you exist. But Google makes telling it very easy. Use this tool Google Search Console. You gotta tell Google you exist or Google's not gonna know to show you. Connect your site to Google Search Console. It's super easy. Submit all the variations just like this HTTPS, HTTP, www, no www...

Add GSC setup, URL inspection/submission, and sitemap submission to the launch indexing checklist.


The source says adding form fields lowers conversion rate, while more fields may improve lead quality.

Start with a form that has one field. 18.2% of people who see it fill out the form. With just an extra field added, it goes down to 13%. With five form fields, it's at 8.1%. If you have nine form fields, you get a 4.2% conversion rate. Not a lot of people want to give that much information. The thing is, the more information you get, the higher quality your leads will be...

Test shorter forms paired with AI or human follow-up qualification, especially where high-ticket sales need better lead screening.


In “best X software” SERPs, self-authored best lists where a company ranks itself first may appear frequently, and ChatGPT may surface similar lists without clearly disclosing the self-serving source.

Across 250 Best X software style SERPs like Best CRM for Enterprise, 67% featured a list in which the company writing the article ranks itself No. 1. This means when people are searching for the best software for so and so, 67% of the time the list that shows is going to be from a company that puts itself at the top of the list...

Treat self-ranking comparison/listicle pages as a risky tactic: if tested, require clear disclosure, competitor links, evidence, and editorial fairness; do not present biased lists as neutral proof.


Publishing posts about awards, rankings, and third-party recognition may help AI/search systems associate a brand with category leadership.

Create reviewable evidence pages for legitimate awards and wins; include source links, dates, category language, and avoid exaggerating unverifiable claims.


The creator predicts Google AI Mode could replace traditional results by Q3 2026, making Gemini-linked search behavior important to track.

It's just been reported that Sam Altman has called for a Code Red inside OpenAI. Apparently Google's Gemini has them very worried for the future of ChatGPT. I just want to talk about why I think they're right to be worried. If you don't know, Gemini 3 was released a few weeks ago and it immediately crushed most of the benchmarks...

Track Google AI Mode separately from ChatGPT: monitor rollout, citation behavior, and client-query visibility before treating the timeline as settled.


Search quality may become a major advantage for AI assistants as LLMs replace traditional search, because recommendation answers depend on retrieval quality.

Evaluate AI visibility separately by engine/retrieval stack; do not assume tactics that work in ChatGPT transfer unchanged to Google/Gemini, Perplexity, or Claude.


The clip warns that black-hat actors can influence LLM-visible comparison data and misrepresent or omit competing brands.

ChatGPT's lies might be more than standard hallucinating. New research finds black hats can poison LLMs with just 250 malicious documents. Bad actors might manipulate the training data to such a degree that should a potential customer ask the AI to compare similar products from competing brands, it triggers a response that significantly misrepresents your offering or worse, omits your brand from the comparison...

Do not use misinformation or data poisoning; monitor priority comparison queries and publish accurate, timestamped, source-backed brand facts.


Smaller brands may be vulnerable when LLMs rely on third-party comparison pages because there is not enough authoritative, current information about them.

Maintain an owned “source of truth” fact base for products, pricing, comparisons, limitations, and differentiators; make it crawlable and clearly dated.


Large AI workspaces need curated context because unstructured document archives leave relevance selection to the model.

If you're using a large language model for work, Gemini, ChatGPT, Claude, it's important that you give it the necessary context. All the model makers understand this, which is why all of them have made it easier to connect things like a Google Drive. But I keep seeing people making the same mistake...

Build project knowledge bases with selected documents, clear labels, and instructions for when each source should be used.


Raw call transcripts can be useful context, but they also include irrelevant chatter and eventually outdated information.

Review call transcripts into structured project updates before adding them to an AI workspace, and keep messy originals separate.


AI project knowledge should be maintained over time by asking the model to review new messy inputs and suggest updates to existing structured documents.

content. So while having access to all this context might be better than no context, there's a much better way to do it. I recommend setting up a project in Claude or Gemini and then just take the time to decide what context you actually want the model to have. Now, based on what you're asking the model to do, you'll want it to have a different set of context...

Add a maintenance workflow for client/brand context: ingest new transcripts, propose amendments, human-review changes, then update canonical docs.


Keyword value should combine demand, rankability, and customer intent instead of defaulting to search volume alone.

One of the first things we do when we start a new SEO or AI optimization campaign is we put together a list of topics you want to create content on. And often when I present this list to clients, the first thing they say is, can you show us how much search volume there is for each of these topics so we know which ones to prioritize?...

Score topics by intent, probability of ranking, and demand; do not sort the roadmap by search-volume numbers alone.


Keyword-tool volume can miss useful topics, and there is no reliable volume data yet for large-language-model search demand.

start with. Writing content for a keyword you can't rank for is a complete waste of time. And the third factor is, are people actually searching for this term? Now with large language models, the question is now, are people or large language models actually searching for this term?...

Do not discard high-intent topics only because Ahrefs or Semrush volume is low; weigh customer intent, rankability, and post-publication evidence.


The strongest keyword opportunity data can arrive after publishing, when Search Console shows queries, impressions, and early visibility.

oing to write an equation for how valuable a potential keyword is, it would be search volume multiplied by the chance we have to rank for this keyword, multiplied by the chance that someone searching for this keyword is interested in being a customer of your business. But since we can't reliably get any of those variables, a lot of SEO's do default to search volume because it's easy...

Publish a small controlled batch, then use Google Search Console queries and impressions to refine priorities, links, and expansion topics.


A basic SEO audit should verify sitemap/GSC submission, page titles, meta descriptions, readable URLs, single H1 usage, image alt text, index/follow settings, robots.txt access, 301 redirects for 404s, internal links, SSL, and duplicate-content avoidance.

5 quick things to do to pass any SEO website audit. Put your site maps on Google Search Console. Put your homepage into Google Search Console right here. Make sure all your pages have page titles and meta descriptions. Build out. Use easy to read URLs. Don't use two h1 tags. Use only one. You want to make sure you only use one. Put in alt text for images and use descriptive descriptions...

Use as a technical-audit checklist for baseline reviews; verify each item with crawls/rendered HTML rather than relying on visual inspection.


The audit checklist tells developers to use server-side rendering so important site content is accessible for SEO.

For JS-heavy pages, test rendered HTML and indexability; use SSR, static rendering, or hydration-safe content for key SEO surfaces.


The source claims profitable SEO keywords are often less competitive than obvious high-volume terms.

Digital marketing things nobody knows: one word subject lines get the highest open rates. The most profitable SEO keywords are often the least competitive. You can put an animated GIF as your Gmail icon to make your email marketing more effective. Cute copy and checkout areas kills conversions. Dotxyz sites have worse SEO. Dark mode gets less sales with ECOM. Citing sources improves SEO...

Score commercial intent and rankability alongside volume, and look deliberately for low-competition terms with buying intent.


The clip claims that citing sources improves SEO.

Use citations to strengthen evidence quality and trust signals, while validating any ranking impact separately rather than assuming citations alone cause gains.


The source claims closed FAQs are worse for SEO than exposing the information directly.

Audit important FAQ answers for rendered visibility and UX; consider exposing critical answers instead of hiding them behind accordions.


Publishing raw AI-generated copy without editing or usefulness checks can hurt SEO performance or quality signals.

This is what happens when you don't use AI written text on your website the right way. I used ChatGPT to write content for a blog. I'm a freelancer. It turned out that Google lowered the rank of the SEO when the website used AI generated content or images is in comparisons to the ones that are made by humans. You can't just paste AI written copy...

risk/avoid: do not copy-paste AI content directly to client sites; require human editing, helpfulness checks, brand context, evidence, and Google guideline review.


Asking ChatGPT why it recommended a competitor does not reveal the actual internal reason; the answer is usually generic advice synthesized from public content.

Stop asking ChatGPT why it recommended your competitor instead of you. At least once a week, someone sends me a conversation they had with ChatGPT in which ChatGPT recommended their competitor. And then they followed it up with why did you recommend this company and not my brand? And they typically see it as this great revelation. Look, ChatGPT is revealing all of its secrets to me...

Do not use model self-explanations as evidence of ranking factors; diagnose AI recommendations by tracking prompts, citations, retrieved pages, and repeatable outputs.


A business website remains one of the few owned assets where a company controls its narrative, unlike social platforms, Google Business Profile, or AI answers.

It's actually frightening to think that this might be a reality or that people are actually pushing for it. This is just gonna create a new kind of monopoly that is massively problematic. One of the very few things that you own online related to your business is your website. You don't own your social media content. You don't own your Google My Business profile...

Prioritize the website as the canonical brand/entity source; keep product/service facts, positioning, proof, and conversion paths accurate and crawlable.


Perplexity can be used to brainstorm prompts or questions people might ask an LLM around an SEO article topic.

Plexity can do your content research. Use this prompt: I'm writing an article. Insert your topic here. It's an SEO article. What prompts would somebody use in an LLM to come across this content? Give me a list of prompts. For my example, I said traveling solo through Europe gear you should take...

Use LLM prompt brainstorming as content-brief input, then validate suggestions with real search data, prompt tests, and editorial judgment.


Completing core Google Business Profile fields helps Google understand local relevance for the services and areas a business targets.

If you're a local business owner, this is gonna boost your visibility on Google when people search for what you offer in your area. Go to Google My Business. Sign up for a free profile. the areas at a minimum that you wanna fill in to help boost your visibility: an up to date phone number, website and address...

Include phone, website, address or service areas, hours, products or services, and accurate categories in every local SEO intake checklist.


The creator says more Google Business Profile reviews can improve visibility in Google search results.

Build an ethical review-request workflow after service delivery and monitor review quality, recency, velocity, and policy compliance.


Brands should track the pages and websites LLMs cite when answering prompts like their ideal customers would ask.

If you want your company or brand to be recommended by large language models, you need to be tracking the pages and websites they cite. In other words, you need to be simulating the kinds of prompts that your ideal customer might be typing into these large language models. And then pay attention to what pages online the large language models look at before they recommend you or your competitors...

Simulate buyer prompts and store cited pages, source URLs, and mentioned brands for analysis.


LLM citation sources vary by industry, so broad advice about which sites matter is unreliable.

Build industry-specific citation maps from actual prompts instead of universal directory assumptions.


The creator says most industries have only one to five directories that LLMs meaningfully cite for recommendation prompts.

to vary wildly by industry. So any advice about, hey, ChatGPT really likes this website or hey, you should be on this website cause Google sites it all the time. None of that advice is generally true across industries. You really need to be tracking prompts of people looking for the type of service or product that you offer. Let's talk about directories...

Prioritize the few directories with meaningful citation frequency for each client category.


LLMs often cite listicles, including directory-generated listicles and harder-to-enter blog, LinkedIn, or Medium listicles.

Track repeatedly cited listicles and pursue legitimate inclusion where the page is cited often.


For discussion-thread citations, a small number of older Reddit/Facebook threads may account for most LLM citations in an industry.

ng. Right now outside of directories, the other listicles you can be on might be on a blog post, a LinkedIn article, a medium article. Typically it's going to be very difficult to get your brand added to these listicles. A lot of them are going to be created by your competitors. However, it also takes about 30 seconds to send an email and ask what it takes to get on their listicle...

Identify top-cited discussion threads and participate transparently if appropriate; risk/avoid: do not astroturf, spam old threads, or disguise brand affiliation.


If an LLM cites a brand website, the cited page should clearly explain the products or services and recommend the brand.

Audit already cited pages for clear product/service fit and recommendation language near retrievable passages.


Instead of only influencing pages LLMs already cite, brands may be able to replace cited pages by creating content targeting the same specific titles/queries across owned and public platforms.

xplicitly recommend you and when the large language model cites you, it's going to retrieve a block of text and if in that text isn't the recommendation for your brand, it actually doesn't matter that it cited your website, it's not gonna recommend you in the response. So those are all the ways that you can influence the content that's on the pages large language models are already citing...

Build content around the titles/queries of high-citation pages and publish on suitable owned/social surfaces; measure whether new assets begin replacing old citations.


One high-quality piece of content can be repurposed across many platforms to target the same AI-search intent.

Create a repurposing workflow that adapts one expert asset to website, LinkedIn, Medium, YouTube, TikTok, Instagram, and other relevant surfaces; avoid duplicate spam.


The creator claims most SEO for AI is the same SEO that should already be done well, rather than a wholly separate discipline.

If your digital marketer is telling you these things, fire them immediately. Biggest SEO myths, biggest one of all time: SEO is dead. Everyone has been saying SEO is dead for the last 13 years. Adding emojis in meta descriptions boost rankings because Google loves emotion. That's crazy that some people are saying that. Backlinks are the only thing that truly matters in SEO. Patently false...

Keep AI-visibility work anchored in fundamentals: intent satisfaction, crawlable pages, entity clarity, reputation, and evidence; add AI-specific tracking as a layer.


The creator says pages should satisfy the target searcher's intent immediately, before the user scrolls.

Audit priority pages for above-the-fold intent match: answer, offer, proof, next action, and differentiation.


The source rejects several SEO myths, including that SEO is dead, emojis in meta descriptions boost rankings, and backlinks are all that matter.

Do not sell obsolete or single-factor SEO tactics; evaluate pages through intent, content quality, technical health, reputation, and links together.


Page-speed scores may be less useful than real-world experience from devices and locations relevant to users.

Test real loading experience across devices/regions in addition to lab scores; prioritize user-visible performance issues on conversion and SEO landing pages.


AI systems may treat repeated consistent claims about a brand across multiple public sites/social platforms as consensus, making offsite branded copy more important.

Outsourced SEO copywriters are going to be unavoidable in 2026. Writing long brand informed copy targeting branded keywords appearing on all social media platforms. You might see a long article on medium explaining why the brand is the best in its category, or a long YouTube description saying the same thing. Q3 2025. These are the most clicked websites in Google search. Most of them are social media...

Build truthful offsite brand/entity evidence across relevant platforms; risk/avoid: do not manufacture fake consensus, spam social platforms, or publish misleading branded claims.


Reputation management and SEO may increasingly overlap because public branded content influences both search results and AI recommendations.

Include reputation surfaces in SEO/GEO/AEO audits: branded SERPs, social profiles, review pages, third-party mentions, and consistency of category/entity language.


The creator says ChatGPT shopping recommendations feel easier to game because retrieval leans on semantic matches and web prominence.

OpenAI and Google are both trying to create the best AI shopping experience this holiday season. Let's talk about the different approaches they've each taken and which one I think is going to win in the end. So OpenAI just rolled out shopping research inside of ChatGPT. You can enable this from the tools menu and then type in whatever prompt you want...

Treat ChatGPT shopping visibility as a separate experimental surface, but avoid assuming its retrieval behavior is stable or authority-driven.


The creator prefers Google AI Mode for shopping recommendations because he believes Google better understands authority and quality.

For Google AI visibility tests, prioritize durable authority signals such as trusted mentions, reviews, entity clarity, and strong source quality.


Add “for + plural audience/industry modifier” to bottom-funnel keywords; tools may show near-zero volume because each variant is tiny, but clustered variants can rank together and attract high-budget buyers.

It's almost criminal how much money this can make. When you're doing SEO, add modifiers to the end of your keywords. Accountants, lawyers, government employees, hospitals, teams, universities use this formula. You have a bottom of funnel keyword, then the word for and a plural modifier like the ones I just showed...

Test vertical/audience modifier pages for DreamWood/service offers where there is clear purchase intent; validate with real SERP checks rather than keyword volume alone.


Client-specific AI projects can act as brand-context systems when loaded with enough information to represent the client.

Anthropic recently released Claude 4.5 Opus. I wanna talk about what we're using it for and also where we're still using chat, t, Gemini or even Claude 4.5 Sonic. So as I've spoken about in other videos, we regularly use chat, G, B, Gemini and Claude. However, Claude is the one that we use most often for work...

Maintain per-client AI context projects with approved positioning, services, audience, proof, tone, and constraints for content and strategy work.


Different LLMs may be better for different tasks: context-heavy analysis, web research/retrieval, natural writing, or coding.

strategy or analysis or organization, Opus is the best choice. On the other hand, if we want the model to help us retrieve the context, if we need the model to do any kind of search or research across the internet, Gemini 3 is definitely the better choice. And for natural writing, if we're writing a blog post, social media post, webpage copy, sonic 4.5 still seems like the best option...

Route SEO/GEO/AEO workflows by task type and verify outputs; avoid standardizing on one model without testing retrieval, writing, context handling, and coding needs.


Human judgment and AI fluency can let generalists produce work comparable to a typical specialist while keeping context across a project.

I think AI has officially killed the typical specialist. So let me explain what I mean by that. If you're a specialist, in other words, if you just do one thing well, you now have to be really good at that one thing to do a better job than AI can...

Design AI-assisted teams around senior judgment and generalist ownership, with specialists reserved for work that truly needs expert depth.


The source contrasts IKEA with Furniture.com to argue that differentiated brands are stronger SEO targets than generic, undifferentiated entities.

IKEA.com shows on Google for 331,000 keywords. Furniture.com shows on Google for 34,000 keywords. IKEA.com has way more keywords in positions 1 through 3. 63,000. Furniture.com has just 1.3 thousand keywords in positions 1 through 3. This is your daily reminder that it's better to do SEO for a brand than branding for an undifferentiated, generic SEO entity...

Treat brand differentiation and recognizable positioning as part of SEO/GEO strategy, alongside keyword targeting and technical execution.


The creator says waiting for perfect marketing loses momentum; a high-volume LinkedIn cadence coincided with weekly impressions rising from 220k to 650k.

Guaranteed way to lose at marketing is to wait to do marketing. Everyone's waiting to have the perfect post, the perfect article, the perfect announcement. The product has to be just right. It doesn't matter where you are. Start making noise as soon as you can. Do it at mass amounts of volume or you'll be drowned out by people who are more prolific than you...

Run a bounded posting-cadence experiment with repurposed useful content, measuring qualified engagement and leads rather than impressions alone.


Community and adjacent non-competitor relationships can generate backlinks that also send qualified referral traffic.

If you want SEO backlinks to pile up like all of this snow, build a community, have adjacent businesses to yours, link to your site, get backlinks from similar businesses that are not competitors to actually recommend you and do the same. Multiple people in this Reddit thread share community as being one of the best drivers for backlinks. The backlinks are much higher quality too...

Build partner/community link opportunities with relevant adjacent businesses and evaluate both link quality and referral traffic.


The creator says Google has started showing ads in AI Mode, and expects ads inside AI responses to be the monetization path.

It's official. Google has started showing ads in their AI results. I'm talking about Google's AI Mode, which will probably eventually replace their traditional search results page. I wanna talk about how everyone who's been paying attention knew this was coming and why it's actually the best case scenario. So if you don't know, Google makes the vast majority of their money through Google ads...

Track Google AI Mode ad surfaces separately from traditional SERP ads.


The creator warns the worst case would be brands paying to influence AI recommendations without a clear sponsored label.

e clicks on ads. Actually, upwards of 10% of clicks are going to ads. There is no subscription Google could offer that would generate anywhere close to the amount of revenue they generate. Add clicks. So it always had to be ads inside the AI response. The reason I say this is the best case scenario it's cause as of right now, the ads are clearly marked as ads separate from the rest of the AI response...

Flag unlabeled paid influence in AI responses as a trust and disclosure risk.


The creator says AI Mode ads could be highly targeted and may revitalize Google Ads if the new surface performs.

Treat AI Mode ads as a test channel and measure targeting, cost, and conversion quality separately.


The source claims press releases can influence AI search alongside BOFU SEO, backlinks, Product Hunt, and BetaList launches.

You can launch a startup from anywhere in the world. Get customers using bottom of funnel search engine optimization. Get backlinks using help a reporter out and source of sources. Launch your startup on Product Hunt and Betalist. These are the top two places for launching a tech startup. AB Newswire is cheap, great for sending out press releases. These press releases also influence AI search...

Treat press release distribution as a visibility experiment: monitor indexing, citations, referral traffic, and AI retrieval before scaling it.


The clip argues that physical posting location matters less than algorithmic relevance for reaching target customers globally.

For social and SEO distribution, focus on topical relevance, audience signals, and channel fit rather than assuming the creator must be in the customer’s location.


The source positions social videos as SEO assets that can rank on Google for target keywords in the video content.

Everybody thinks you need to be in the location of your target viewers when you post videos on social media. Nobody realizes that social media videos are some of the highest ranking assets in search engine optimization. All social media platforms rank higher on Google than almost anything else. No matter where you are in the world, you can post videos on social media...

Test keyword-aware short-form videos and monitor whether TikTok, YouTube, LinkedIn, or other social URLs appear in target SERPs.


The creator expects LLM recommendation visibility to depend partly on having enough high-quality content that can surface and recommend the business.

So I hope businesses get recommended by large language models primarily by creating a large amount of content. And one question that naturally comes up a lot is, is there any point in making content when AI is going to start pumping out a ton of content? And my answer is unequivocally yes. I really think it's the best time to be creating content. So I'd like to explain why...

Treat this as a hypothesis to measure: map whether owned and earned content that mentions the brand correlates with LLM recommendations.


The creator defines AI slop as generic output and hallucinated mistakes.

Use this as a quality gate: reject AI-assisted content that lacks original input or contains unsupported claims before publication.


With the right workflow, a small amount of expertise can become many high-quality assets, including blog posts, social posts, video, and images.

re a business owner, you're the expert in something and you likely already have a lot of data or some kind of internal knowledge base. The input we use are these videos that I record while walking my dog or more often the transcript from these videos...

Create a content atomization workflow from expert source material and review each derivative asset before publication.


The creator says a plain gray account screen beat a video-background version because the video distracted users.

Ring, ring. These two create account screens against each other. Which one do you think got more people to create accounts? The plain one with the gray background or the beautiful one with the video background? This is actually a video that's supposed to be playing. Beautiful background, grey background. Turns out the video background distracted people. Less people created accounts because they were distracted...

A/B test visual polish against conversion goals before assuming richer design will perform better.


Thousands of AI-generated programmatic SEO pages can backfire through deindexing and scaled-content-abuse risk.

If your SEO person isn't sharing stories like this with you, you need to fire them. We got penalized by Google. A few months ago, we were launching, we went all in on programmatic SEO. We created thousands of pages just using AI targeting long-tail keywords we knew our ideal users were searching for. It worked for a while, then it backfired. Google flagged our domain, pages started getting deindexed...

Avoid mass AI page generation without unique value, editorial review, and crawl/indexation quality controls.


LinkedIn posts can appear in Google quickly, and detailed niche-keyword posts may support discoverability.

LinkedIn is the 11th most clicked site in Google. Posted less than an hour ago, already showing in Google. Write detailed LinkedIn posts that demonstrate why you're an expert in your niche. Use SEO keywords terms in your niche that people search on Google. Position your keyword at the beginning of your LinkedIn post. Pack your LinkedIn descriptions with more keywords in your niche...

Test LinkedIn posts as indexable expert-topic assets and track Google indexing plus assisted discovery.


The creator claims LinkedIn rewards keyword stuffing, but the tactic should be treated as risky rather than recommended broadly.

Do not use keyword stuffing as a default methodology; if tested, monitor quality, brand impact, and spam risk.


Empty bot-traffic spikes in Google Analytics can make SEO results look inflated without producing actions or sales.

A new type of spam has arrived. Google Analytics showed a spike in empty traffic. This is what the spike looks like. Visitors never completed any actions. They were 100% bots. Only you used by unfair marketers to fake the results of their work. These people are prevalent across all industries. At the end of the day, ask yourself, are the results you're seeing getting you more sales?...

Require conversion, qualified-lead, referral-quality, and sales-impact reporting instead of traffic-only SEO reporting.


The creator claims businesses can no longer ignore AI because competitors using AI will gain speed/cost advantages, even in non-tech verticals.

This week saw the biggest leap forward in AI that we've seen since the release of ChatGPT. Google released Gemini 3, which is now easily the smartest language model and immediately added it to all their products, including Google AI Mode inside of Google Search. And then they released Nana Banana Pro, which is easily the best image generation model...

Add AI workflow audit as a strategic discovery item for clients: identify computer-based tasks that AI can assist, accelerate, or quality-check.


The creator says even blue-collar businesses may be affected as customers rely on AI models to choose providers.

Monitor AI recommendation prompts for local-service categories, not only white-collar categories.


AnswerThePublic can be used as a free ideation source for search-informed questions and content topics.

I'm gonna get in trouble for showing you how easy this is. Go to answerthepublic.com. You can use this for free without even registering. Put in your niche, click search. It'll give you content ideas based on what search engines care about. AI cares about social media, cares about ecom topics. It'll give you a tree broken into. People also ask. You can go down the rabbit hole to find amazing content to make...

Use question-mining tools as ideation inputs, then validate topics against SERPs and first-hand expertise.


Short-form expert videos can become trust-building source assets for TikTok, YouTube, Google rankings, LLM recommendations, and repurposed content.

If you're a business owner, you should be making videos like this. I'm gonna explain why and then I'll tell you exactly how to do it. Videos, by far the most effective form of marketing. Videos like this are the easiest ones to make and the most impactful. People don't connect with brands, people connect with people. You're doing it the way I'm gonna show you...

Test short-form expert video as a source asset for multi-channel SEO and GEO, especially where founder or expert trust matters.


Overproduced videos may perform worse than authentic phone-recorded videos; modern AI editors can remove pauses/retakes and speed up editing.

entence is gonna be or sometimes just the next half a sentence and that's how I recommend recording these videos one phrase at a time. Give yourself plenty of time to think and then if it doesn't come out right, record it again. I often do two or three takes of a line before I get it right and now you're probably thinking, but TJ, that's gonna take forever to edit no, it's not modern video editors like the...

Recommend low-friction recording workflows for experiments; optimize for authenticity, retention, and repeatability over production polish.


Short-form video topics work better when they are aimed at one clear audience and offer a message that audience actually needs.

Plan recurring video topics around one buyer audience, then repeat the most important messages with useful angles.


Consistently creating content for the same audience helps algorithms learn who should see it; mixing audiences may weaken distribution.

Define one primary audience per content stream and avoid mixing unrelated ICPs in the same channel during experiments.

Audience consistency / algorithm training


Adobe framed Semrush as unlocking GEO, while the clip notes marketers arguing that GEO is SEO repackaged.

Adobe is acquiring a leading SEO tool, Semrush, for $1.9 billion. The deal is expected to close in 2026. Adobe has a bunch of marketing tools. They want Semrush because it will allow their users to see how their brands appear across the web. It's possible this is just an AI hype move...

Keep GEO terminology provisional in methodology notes; distinguish vendor positioning from practitioner skepticism until stronger evidence settles the distinction.


Adobe buying Semrush for ~$1.9B and Google Trends interest are used as counterarguments to “SEO is dead.”

People have been saying for the past year SEO is dead. Adobe just bought an SEO tool for $2 billion, 77% premium. If SEO is dead, I want to know why Adobe is spending 1.9, nearly 2 billion bucks on an SEO tool. What is going on here? Actually, if you go to Google Trends, put in search engine optimization as a topic. It's the highest it's ever been all time. Is SEO dead? I'm asking you, is SEO dead?

Treat “SEO is dead” as contradicted by market investment signals, but verify acquisition details and trend data before citing.


Meta keywords are claimed to be irrelevant for rankings across major search engines and can expose target keywords to competitors.

I can't believe that in almost 2026, I'm still having to tell people how irrelevant meta keywords are. And yes, I know that some of the website platforms still get you to put them in. I don't understand why, it's irrelevant. It actually says a lot more about how little they understand the industry that they're in. My name is Kate...

Mark meta keywords as obsolete; do not spend SEO implementation time on them except to remove misleading platform guidance.


Rank Math free is claimed to provide stronger SEO features than Yoast, including sitemaps, schema, 404 monitoring, redirects, GA4/Search Console integration, image alt text, audits, and broader schema options.

If you're using Yoast instead of Rank Math for your WordPress SEO plugin, I'm judging you. My name is Kate, I'm an SEO specialist and I don't know why anybody would use Yoast when the free version of Rank Math puts it to shame. Like how the free version of Rank Math lets you create sitemaps, add schema markup, monitor 404s, and manage redirects. Yoast doesn't even offer all of those features in their paid plan...

For WordPress SEO stack reviews, compare Rank Math vs Yoast feature coverage and licensing costs; verify claims by current plugin docs before recommending migration.


As AI makes building easier, this source frames marketing as the differentiator and recommends targeting high-intent Google and AI searchers.

There's over 150 million startups worldwide, with 50 million new ones launching each year. With AI coding, the barrier to building is shrinking even further. The differentiator is marketing. This course shows you how to target people looking for exactly what you offer. It uses conversion based sesiolanding pages, targeting searchers on Google and AI who are putting in exactly what you have built...

Prioritize bottom-funnel landing pages for people searching for what the product does before they know the brand, then validate traffic and conversions.


In the creator's agency, entry-level marketing work is shifting toward running AI-assisted SOPs and reviewing output with taste and judgment.

l positions. These are situations where all their work is still gonna be reviewed by me or another expert. Nowadays, when I'm hiring for these positions, I'm just gonna create an SOP in which the actual work is being done by an AI. So the person I'm hiring is just following the SOP, giving the task to AI, and then reviewing the AI's work...

Design junior workflows where AI handles repeatable task execution and humans review quality, judgment, brand fit, and context.


The creator says AI increased agency output: more deliverables at the same rate without reducing hiring.

Treat this as a benchmark to test against internal delivery economics before using AI-productivity claims in positioning.


The source frames Google AI Overviews and AI Mode as a reason to track AI recommendations separately from classic search rankings.

ni is what powers the AI overviews to show up at the top of search results and also Google's AI mode, which once it's good enough will almost certainly replace traditional search results. And that's probably the biggest reason to be paying attention to this rollout. We could be moving into a world very quickly where you care more about what Gemini recommends than Google search...

Track Google AI Overview and AI Mode recommendation behavior separately from traditional ranking reports.


The creator speculates that a smarter Gemini model could make more AI-agent tasks practical, but the claim needs real task validation.

Monitor agentic workflow capabilities, but test them on real SEO or content tasks before changing production workflows.


Source of Sources connects experts with journalist queries; accepted answers can produce quoted mentions, backlinks, and social-proof assets.

You can get in top publications even if nobody has heard of you. This free site connects journalists looking for expert quotes with experts who want to give quotes. It's called source of sources. You can use it as a reporter or as an expert. Every day you get emails just like this where you have to answer a query. The journalist queries are in a wide range of topics. Journalist accepts your answer...

Test journalist-source platforms for relevant expert quotes, then track accepted mentions, backlinks, and reuse of publication logos or mentions as authority proof.


Hub pages with many linked child URLs can waste SEO potential if child URLs do not have dedicated landing pages.

This is the information architecture for this site. This is the homepage. They have this hub page here. We can tell that this is a hub page because of all the nodes that connect to it. It's one central page with many pages linked to it. A hub page is cyber security. We open it like this. We find a huge SEO flaw. Each of these goes to separate URLs, but they don't have dedicated landing pages...

Audit hubs and child URLs; where a URL targets a meaningful query, create a dedicated landing page instead of thin/no landing content.


Dedicated landing pages with the keyword in H1, page title, and URL slug are claimed to rank well in Google and AI results.

Review as a standard on-page pattern; validate target keyword usage in title, H1, URL slug, and page body for important pages.


The creator cites an Ahrefs study saying top Google rankings have lost about one third of clicks after AI Overviews increased zero-click searches.

As we're approaching the end of 2025, there is no doubt that AI has had a huge impact on SEO, and Ahrefs have released a super interesting study that shows exactly what that looks like now. And it's probably not what you think. We're gonna start with the negatives, and probably the most obvious, to be honest, top rankings have lost a third of their clicks...

Validate the cited Ahrefs data, then add zero-click risk and motivated-click quality to SEO reporting narratives where relevant.


AI Overviews may reduce informational traffic but leave more motivated visitors, so conversion rate can become a stronger SEO success signal than raw traffic.

For AI-era SEO reports, compare traffic decline with conversion rate and lead quality before judging campaign performance.


The creator claims posting 5-12 times per day on LinkedIn more than doubled weekly impressions in five days.

In the last five days, I've more than doubled my weekly impressions on LinkedIn. This was my weekly impressions five days ago. This is my weekly impressions now. LinkedIn seems to be putting a multiplier on extreme consistency. I am posting five to 12 times every single day on LinkedIn. Videos are performing the highest. I repurpose all my shorts from TikTok, Instagram, YouTube onto LinkedIn...

Treat high-frequency LinkedIn posting as an experiment and monitor engagement quality, fatigue, and lead quality.


The creator reports repurposed short videos performed best on LinkedIn, while image posts and some pure text posts also worked.

If testing LinkedIn visibility, compare repurposed shorts, image posts, and text posts against business outcomes.


Universal claims about which sites ChatGPT cites are unreliable because cited sources vary by prompt, industry, product, and service.

There's a lot of conflicting information out there about how to rank in ChatGPT. Just this week I've seen people say that ChatGPT hates press releases. Well, in my experience, they love press releases. I've heard that ChatGPT never cites Reddit and that ChatGPT is always citing Reddit...

Track citations for the actual prompts and verticals that matter to the client instead of applying broad source-placement rules.


The creator runs about 4,000 prompts daily across ChatGPT, Perplexity, and Google AI Mode to compare citation patterns.

Use this as an experiment design reference: build prompt sets, run them repeatedly, and compare cited domains by model and vertical.


Page meta titles and H1s should match the searches LLMs generate, not only human-entered prompts.

I wanna share the most simple adjustment you can make to significantly increase your visibility in ChatGPT. It has to do with how you title your blog post. So as you might know, the title of your page is the most important factor in SEO. And it's no different with large language models. And when I say the title, I mean both the meta title and what's called the H1 or the visible title on the page...

Research and test LLM-generated follow-up search queries for target topics, then align title/H1 wording where appropriate.


For data or recommendation queries, the creator says LLMs often add a year, so current-year titles can match AI-generated searches.

Test current-year title and H1 modifiers on data, cost, comparison, and recommendation pages where freshness is part of the query.


For low-priority posts, a year update may be enough; for high-potential posts, the creator recommends refreshing data points or a paragraph.

f you ask a large language model for any kind of data or recommendation it'll almost always put a year at the end of the query for example if you're in Jacksonville Florida and you ask how much lawn care costs it'll search something like cost of Lawn Care in Jacksonville Florida 2025 so if you want that large launch model to find your website and recommend your lawn care business you should have a blog post...

Create an annual refresh workflow that separates light year updates from substantive updates for pages with stronger AI or search potential.


Em dashes are described as a recognizable ChatGPT writing artifact in social and SEO copywriting.

Huge news from the CEO of OpenAI, Sam Altman. If you tell ChatGPT not to use em dashes in your custom instructions, it finally does what it's supposed to do. Em dashes. These very long dashes have become a clear sign that something is written with ChatGPT. Anybody who uses ChatGPT regularly will notice them...

Treat as a copy QA warning: remove overused AI-style punctuation and artifacts when human tone matters.


Agency strategy should be led by someone who can discuss current experiments, what is changing, and how the work differs from last year.

Hiring a marketing agency is scary. It can be expensive and even if they don't lock you into a contract, it's really hard to leave. You'll end up depending on this agency for a lot of things, so it's important that you make the right decision. I've worked for or with dozens of agencies I just want to share some questions that I think you should ask to identify any potential red flags...

Add strategy-lead questions to agency evaluation: what is changing, what experiments are running, and who owns the campaign strategy.


Impressions and clicks are weak success metrics by themselves because they do not show whether marketing is creating customers.

's a good chance they're gonna waste your money. And finally, you need to make sure you have a way to hold them accountable. And there's actually two ways that you need to hold them accountable. Performance and deliverables. Now, you shouldn't expect them to tell you exactly how many customers they're gonna get you. Marketing is inherently unpredictable...

Require campaign reporting to connect visibility metrics to business outcomes, and define what changes if the campaign is unsuccessful.


The creator recommends tracking agency deliverables because reports can look positive even when little work is done.

Require a monthly deliverables log that lists completed tasks, owners, and outputs alongside performance metrics.


Claude is claimed to perform best for natural writing, large context, and instruction adherence, while ChatGPT is favored for agentic web research and data retrieval.

ChatGPT 5.1 is out, so I figured we'd talk about it and then I'll tell you what model I actually think you should use for work. In short, 5.1 seems to be doing all the things that they told us 5.0 would do. It's supposed to be better at knowing how long to think for responding and then they also give you more control over the personality of the model...

Treat as a workflow-design claim; benchmark model choice by task type before standardizing AI content/research operations.


The creator says ChatGPT is useful for retrieval work, while its search tool is easier to manipulate than Gemini's.

nd most. Let me tell you what I think it's best at. We primarily use ChatGPT to retrieve information. So for writing a blog post, we'll typically do deep research with ChatGPT to collect a bunch of data points and quotes and statistics around the topic. Or just yesterday, we gave it a list of 100 domains and asked it which of those domains was a directory that we might want to submit our client to...

Treat this as a risk note, not a tactic: build durable evidence and reputation rather than optimizing around weak retrieval behavior.


LinkedIn posts can appear in Google search quickly, so LinkedIn content can function as a Google-visible search surface.

Your cringe LinkedIn post could end up on Google search. LinkedIn is the 11th most clicked site in Google. Posted less than an hour ago, already showing in Google. The better way to do LinkedIn write detailed LinkedIn posts that demonstrate why you're an expert in your niche. Use SEO keywords terms in your niche that people search on Google. Position your keyword at the beginning of your LinkedIn post...

Test detailed, keyword-aligned LinkedIn posts for niche topics and monitor whether they index/rank in Google.


The creator says LinkedIn rewards keyword stuffing, which should be treated as a risky platform-specific claim rather than a best practice.

Avoid spammy keyword stuffing; if testing LinkedIn SEO, use natural keyword-rich descriptions and monitor quality risk.


LLM visibility is harder to attribute than SEO because marketers may not know the prompt or get a website click.

As people are starting to use large language models like ChatGPT to find businesses, US marketers are realizing that it's much harder to track the results than it was with traditional SEO. Really, US SEO's have been kind of spoiled with how much data we get. We know exactly what people type into Google and which webpage they click on. In large language models, we have no idea what they typed...

Set expectations that GEO attribution is directional; use prompt tracking, citation monitoring, and limited referral data instead of exact keyword reporting.


Because competitors may devalue LLM visibility due to weak attribution, early investors may get outsized returns despite limited data.

Treat as a strategic hypothesis; run controlled GEO investments with leading indicators and compare to competitor visibility over time.


Crunchbase traffic decline is attributed by some SEOs to data moving behind paywalls/email gates, causing bounces and eventual ranking decline.

Crunchbase's organic traffic has absolutely fallen off a cliff. Here's what the SEO community thinks happened to them. A few people think their traffic was coming from people searching for company names. You'd search for a company name, you would get the Crunchbase profile, but not anymore. People think that they off walled a bunch of data points that used to be freely available...

Use as a warning: avoid hiding core indexable value behind aggressive gates when organic visibility depends on accessible information.


Crunchbase decline is also framed as possible displacement by ChatGPT and AI Overviews for company information lookup.

Track categories where users may switch from directory/search behavior to AI answers, especially factual databases and company profiles.


For Google Maps, the creator highlights primary category, keyword in business name, and location/proximity as major local factors.

The 2026 Local Search Ranking factors report has officially been published. This is the closest thing we get to a source of truth for the factors that Google uses to rank businesses and their search results. And while the report emphasises local businesses, I think it's valuable for any business to look at. This is a report that Darren Shaw from White Spark puts out every couple of years...

Use this as pending local SEO evidence and cross-check against the Whitespark 2026 report.


The creator says recent reviews matter more than total review count in the 2026 local ranking factors discussion.

e your business is verified or where you're located is a huge factor. You'll always rank much better around your business. So what has changed? Well, reviews have always been very important, but this year everyone agreed that how recent those reviews are is more important than how many reviews you get...

Prioritize steady recent review acquisition over one-time bulk review pushes.


The creator says links still matter for organic ranking, but less than before and even less for AI recommendations.

Do not use a link-only AI visibility strategy; diversify citations, reviews, and authoritative mentions.


The creator says citations are becoming more important again because AI systems use directories and top-list pages.

Find the few directories or lists AI systems cite in the industry before building citations broadly.


Negative review extortion scams can affect businesses, and Google Business Profile has a reporting flow for inappropriate reviews.

Every business owner should know about this. Google's negative review extortion scam for, and it does seem to work, report inappropriate reviews on your business profile. Click this. You connect your Google business reviews. Negative review extortion scams are a real problem for businesses. Every business owner needs to know about this. Save this URL.

Add review-extortion response steps to local SEO/GBP reputation management checklists.


The creator lists five easy SEO tasks: unique target-keyword page titles, image alt text for Google Images, target keyword as first page text/H1, Google Business Profile for local results, and sitemap submission/indexing.

These are the 5 easiest SEO tasks you can do today to boost your website traffic on Google & ChatGPT. And you don't need any paid tools to do it. You're gonna wanna save this video so you can come back to it This is the most important SEO element on your page. Everyone needs to be unique and contain its own target keyword. It's gonna help your on-page SEO and increase your chances of ranking on Google Images...

Use as a basic audit checklist, but verify the garbled transcript against the original video before relying on exact wording.


The suggested tactic is to generate an AI podcast from a small blog article, offer it as an embed, and include a dofollow backlink to your site while the owner may not realize it is AI.

Here's a secret to getting backlinks from small blogs. Take an article on a small blog site, paste it into Google's free Notebook. LM have it generate a convincing enough sounding podcast. Listen to this. We're gonna try and uncover the secret, maybe, of just posting content that actually matters, even when you feel like you have zero time to make it. This is AI...

risk/avoid: mark as manipulative outreach; do not recommend without clear AI disclosure, editorial consent, and no hidden link intent.


The creator says Google Pomelli can generate editable brand ad creatives from a website URL, but still positions human judgment as necessary.

AI is getting like scary good at graphic design. If you're currently paying an agency to create ad creatives for your company, or you're thinking about paying an agency, or you just want to do it yourself, I would check out Google Pomelli. Google has seriously been shipping AI tools lately. Pomelli is one of their latest experiments...

Test AI-assisted ad creative for lower-budget production, with a human reviewer responsible for brand fit, claims, and final approval.


Some agencies may use AI tools while hiding the efficiency gains from clients, keeping old pricing despite lower production effort.

nately, I know from firsthand experience that a lot of agencies are not. They either convince themselves that AI will never make anything valuable and they refuse to use the tools altogether, or they are using the tools, but they're deliberately hiding it from their clients. They're banking on their clients not realizing how much easier this work has gotten so they can keep all the profits for themselves...

Add AI-use transparency and deliverable-efficiency questions to agency/vendor evaluation.


GEO/AI optimization differs from SEO but should usually be integrated into the same overall SEO strategy rather than run as a detached campaign.

Ranking in ChatGPT is not exactly the same as ranking in Google GEO is not exactly the same as SEO. But I've already made other videos on that topic. Now I wanna talk about how they're not entirely different. Over the last few months, I've had about a dozen companies come to me and say, we already have an agency handling our SEO...

Position GEO as an expansion of SEO workflows with additional assets, sources, and measurement rather than a separate silo.


GEO can add workstreams such as press releases, case studies, directories, and different blog topics while still fitting inside an SEO strategy.

Audit GEO work as an extension of the SEO plan, and validate each added workstream against prompt, citation, and industry evidence.


An SEO agency saying nothing has changed for AI visibility beyond FAQs or structured data may be a red flag.

ncy, I would ask them what they're doing differently to make sure that you're visible in ChatGPT, in Google's AI mode. And if they tell you that nothing has really changed and they're essentially doing the same thing, maybe adding a few more FAQs or structured data, I would consider finding another agency. Find an agency that's so excited about all these new opportunities that you can't get them to shut up about it.

Add an agency audit question: what changed in the strategy for ChatGPT and Google AI Mode visibility, beyond schema/FAQs?


The creator says adding local service specificity, such as 'magician near Philadelphia', can clarify relevance and reduce bounce.

You can have such a serious ROI just from following the right X accounts. This guy post conversion rate optimization breakdowns. Look at this before and after they added this urgency banner spots for Christmas show are filling up quickly. They made a much stronger visual hook. They replace view demo reel with a play button. Gives an immediate reason to engage. Putting in magician near Philadelphia...

For local service pages, make service and location specificity visible near the top of the page.


The creator lists CRO changes: stronger CTA, proof points, testimonial near the top, and real urgency above the fold.

Test clearer CTAs, proof, testimonials, and legitimate scarcity on service landing pages.


NotebookLM video overviews are described as good enough to turn blog, service, or product pages into videos for the same target term.

Google just made it way easier to repurpose your blog content or any text content. I think this could potentially be a really big marketing opportunity for any small business. It's ridiculously easy to do. So a few months back Google rolled out their video overview feature in NotebookLM, and this allows you to upload text content and then Google will create a video for you. But it kind of sucked...

Test text-to-video repurposing on niche terms where video competition is low.


The creator argues LLM recommendations reward showing up across many specific searches, so videos can add coverage even when a page ranks.

ideos to give recommendations. That's really where I see the biggest opportunity and why I think every small business should be taking advantage of this. You see, when someone goes to ChatGPT. Or Google's AI. Mode, and they ask about the product or service that you offer, the large language model is then going to run a series of specific searches. So they're not just looking for the website that's rank one...

Run coverage tests with a text page plus one or more videos for the same query cluster.


The creator says ChatGPT and Google AI Mode may cite relevant videos even when they have under 100 views.

Monitor whether low-view, query-relevant videos appear in AI citations before scaling production.


A newer or smaller site may surface in ChatGPT or Google AI Mode for specific service queries even with little non-branded Google traffic.

It's so much easier to get recommended by ChatGPT than it is to rank in Google, especially if you're like a newer or smaller website. I've done two audits in the last week where the website I was auditing was getting virtually no traffic from Google for non-branded terms...

Track AI visibility separately from classic rankings for service prompts that match the business's exact offer and customer problem.


The creator argues that AI search can look deeper for specialized, context-rich results, creating openings around exact customer problems.

Build content around specific problems the business solves, then monitor whether AI answers cite or recommend those pages for matching prompts.


Screaming Frog visualizations can reveal site depth, child pages, and internal links; pages closer to the homepage and linked sitewide are treated as more important.

This is doing SEO in 2026. It's a visualization of a website. My website. Here in the center, you see the homepage. If you do depth 1, you see direct child pages of the homepage. Depth 2, you see child pages of child pages of the homepage. You can right click show in links, then see all the internal links to that direct page. This is fantastic for visualizing information architecture...

Use Screaming Frog crawl visualizations to audit important landing pages for crawl depth and internal-link support; prioritize key BOFU/service pages within shallow click depth.

internal linking / information architecture


Podcast guest matching can be used as a backlink acquisition channel; podcast appearances may generate links that support SEO.

One of my favorite ways for getting backlinks AIPodcastMatcher.com it uses AI to match you with podcast hosts that you'd be a good fit for. You get three matches a day. The hosts look at your profile, decide whether or not to have you on. Podcasts are great for getting links to boost SEO.

Test podcast outreach as a link-building source, but validate link quality, relevance, and whether hosts actually publish followed/valuable links.


The creator says ChatGPT appears more reliant on entity IDs and structured fields, so consistent brand/entity naming matters.

There's been a lot of talk in the last 48 hours about ChatGPT's new brand identity field or entity ID. So I just wanna talk about what we know so far and what I see as the actionable insights we can take away. It seems like ChatGPT has made some kind of change towards entities in the last month. Most of the information I've seen on this so far has come from WordLift or Profound...

Use one consistent brand/entity name across site copy, schema, and profiles.


For ecommerce, the creator says product schema may become more important because ChatGPT is using product schema.

rand, your product or yourself. So as a brand, your goal should be to get as much information about your entity into this knowledge graph as possible. So let's talk about how you do that. If you're an e-commerce business, it's clear that the product schema is gonna become even more important. If you're not familiar with schema markup, I recommend googling it...

Audit ecommerce product schema and fill available product fields accurately.


The creator recommends organization schema sitewide and person schema on authored pages, instead of adding every schema type everywhere.

Verify Organization schema across the site and Person schema where authorship is relevant.


A short expert video transcript can become multiple content assets when the workflow includes business context and platform writing guidelines.

If you wanna rank in Google or ChatGPT, you need to be creating content and ideally a lot of it. Fortunately, it's never been easy to create content. If you have a business or a brand, you already have some kind of expertise in your industry. You just need to find a way to take that expertise and turn it into content at scale...

Build a repurposing workflow that starts with expert video or audio input, adds brand and platform guidelines, and keeps human review before publication.


AI-assisted repurposing should keep a human review loop because reliable quality requires review and iteration.

Use AI for drafts and variants, but require an editorial gate that checks accuracy, fit, and quality before anything is published.


Existing content, case studies, client conversations, old video or podcast material, and voice memos can provide specific inputs for useful content.

ht work. Maybe for example, you've already created a lot of content in the past. We have one client that has about 100 infographics they've made. We built a process where ChatGPT breaks down the infographic, does research to collect supporting data and then builds an SEO-optimized blog post for them. We can take the same content and create a LinkedIn article and a medium article...

Inventory case studies, customer conversations, old media, and expert voice notes before generating generic SEO or AI-visibility content.


Adding seasonal modifiers such as “Black Friday 2025” to relevant product/listing page titles may rank quickly in underserved niches with some domain authority.

Make sure you add Black Friday to your page titles for SEO product listings like Best Gear for your Garden Black Friday 2025 Edition. If you are in an underserved niche with even a small amount of domain authority, Google will rank this stuff very fast. Make sure you are prepared and learn SEO that gets customers at compactkeywords.com.

For genuinely seasonal offers, test year/event modifiers in titles and page copy; avoid misleading seasonal pages without relevant offers.


NeuronWriter is positioned as a tool for analyzing search results and optimizing SEO content.

You've got to stop using ChatGPT for everything. These 5 AI marketing tools do a better job. Use Product Hero for search-optimized Google Shopping listings that generate more clicks. Use Zapier to connect your marketing tools and create automated tasks between them. Use prism to spy on your Google Ads, competitors and analyze your own campaigns performance...

Add NeuronWriter to SEO content tool comparisons, then validate output quality against the existing content workflow before recommending it.


Product Hero is positioned as a tool for search-optimized Google Shopping listings that can generate more clicks.

For ecommerce accounts, test Product Hero or similar listing tools as a Google Shopping optimization experiment before broad rollout.


Broad citation studies can mislead marketers because recommendation prompts for products/services may cite different source types than general informational prompts.

There's a lot of misleading information coming out about how to get recommended by ChatGPT. I wanna talk about a recent blog post from hrefs that shares some really interesting data about ranking in ChatGPT, and then talk about how it can be a bit misleading. And then finally, I'll give you my take on what's actually been working for us...

Segment AI visibility research by commercial/recommendation prompts, not only generic citation frequency across all prompts.


If ChatGPT cites competitor pages, brands can create competitor comparison or alternative pages to replace or enter the cited result set.

GPT are people looking for information. If you're a brand or a business, all you really care about is being recommended when someone's looking for the product or service you offer. We're currently tracking around 15 prompts across 30 industries, the kind of prompts people type when they're interested in a recommendation for a specific business. And I can tell you, Wikipedia is not even in the top 10...

Create accurate “brand vs competitor” and “competitor alternatives” pages where they match real buyer intent; avoid defamatory or thin comparison content.


If AI systems commonly cite LinkedIn or Medium articles for target prompts, publishing similar high-quality articles on those platforms may influence AI recommendations.

common, you can create similar blog posts on your website, assuming you have about as much authority as the websites that it's citing currently. If ChatGPT is citing LinkedIn articles or medium articles, which is really common, you can also write articles on those platforms. The truth is, for the props that you care about, the citations are highly influential...

Include off-site article platforms in AI visibility experiments when they appear in the citation set for target prompts.


Pages not indexed in Google or Bing cannot appear in those search engines; Bing matters because ChatGPT uses Bing search results.

do this before you spend any time or money on SEO. So search engines have an index If your pages aren't in those indexes, they're never gonna show up. Here's how you can check. I'm gonna show you how to do this for Google and Bing, which is where ChatGPT gets their search results from. Type in site:yourdomain.com All of the pages listed here are in their indexes...

Before SEO/GEO work, run `site:` checks and URL Inspection in Google Search Console and Bing Webmaster Tools; request indexing for missing eligible pages.


AI visibility tracking tools and GEO-specific shortcuts may not replace fundamentals; AI search traffic share is currently much smaller than traditional search in cited platform-visit data.

An MIT study found that 95% of companies that had invested in AI tools were seeing zero return. People are wondering if the ROI is there for spending money on AI visibility tracking tools. This AI founder just shut down his startup. He had an AI visibility tracking tool. After analyzing hundreds of AI responses, the pattern was clear...

Mark “GEO shortcut/tool-first” positioning as `risk/avoid`; prioritize fundamentals: content, authority, reputation, expertise, PR, and brand presence.


Claim: Google primarily evaluates content quality through user behavior/relevance/authority rather than LLM-style reading, while ChatGPT recommendations depend on search-result prevalence. This is debatable and should be treated as a contradiction/review item.

Google can't tell if the content on your website is high quality. ChatGPT isn't even trying. I wanna talk about the state of search algorithms today, how it might change in the near future, and what really matters when you're creating content to show up in these algorithms...

Review against stronger sources before using; still optimize for search intent satisfaction and avoid pogo-sticking by making the page answer/action easy.


Target terms should be buyer-relevant, feasible, and included in URL slug, meta title, and H1/title.

tation after all and high quality website tends to get shared and linked to more often which are factors for ranking in these algorithms but if your primary goal is to increase the traffic you're getting from Google and ChatGPT it's important that you know where you're gonna have the biggest impact...

For each target landing page, verify buyer-intent term fit and ensure the term appears in slug, meta title, and H1/title without keyword stuffing.


Listicles can matter for ChatGPT or Google AI Mode recommendations, but only a small share of relevant listicles may be cited.

If you want to get recommended by ChatGPT or Google's AI mode, one of the most important factors is showing up in listicles. These are pages like 10 best blank in your city or 10 best blank in your industry. I wanna talk about the easiest way to get mentioned in the listicles that matter. Because that's the thing...

Track which listicles are actually cited for buyer prompts before pursuing broad listicle outreach.


In many industries, one directory may dominate AI citations, and its shared ranking algorithm can affect many generated listicles.

Find the directory AI cites most in the industry, then study its ranking factors before optimizing listings.


Some directories offer premium listings that automatically place businesses at the top of their rankings.

t algorithm, for example, and Justia rankings are mostly determined by how many questions you answered on their website. Justia also, along with other directories, will let you pay for premium listings, which automatically put you at the top of the rankings...

Treat paid directory placement as a disclosure and ROI review item, not as organic AI-visibility evidence.


A founder’s reported conclusion: “AI SEO/GEO” is largely normal SEO/PR/brand building; AI mentions come from quality content, authoritative citations/publications, reputation, and expertise.

This founder shut down his AI company because he realized AI SEO is just normal SEO. I launched lorelight, a Geo generative engine optimization platform. But then I realized something that probably should have been obvious from the start. There's no such thing as a Geo strategy. Here's what actually gets brand mentions in AI responses...

Treat this as a review/contradiction item against GEO-specific tactics; do not create a separate GEO methodology without stronger evidence.


Using temporary redirects (302) instead of permanent redirects (301) during a migration may fail to transfer ranking/link equity and cause traffic loss.

It's Halloween. Scare an SEO with a single phrase. If you want to learn SEO things to avoid, pay attention. Site migration completed, but we didn't tell the SEO team. Fun fact when Twitter migrated to X, they put in 3:02 redirects instead of 3:01 redirects, which didn't transfer any link juice. They lost billions of clicks because of this. If you're doing a site migration, talk to an SEO...

Mark migration without SEO review and incorrect redirect mapping as `risk/avoid`; require SEO migration checklist with 301 redirects where permanent.


Broad or careless use of Google’s disavow tool can cause major ranking and organic traffic loss; most usage is reportedly unnecessary or incorrect.

Treat disavow as `risk/avoid` except for clear, severe link-spam/manual-action scenarios; require evidence and approval before use.


Accidentally applying a sitewide noindex tag can remove the entire site from Google’s index.

Add noindex/canonical/robots checks to release QA and migration QA; mark sitewide accidental noindex as `risk/avoid`.


Older sites with many pages may find SEO opportunities by sorting Google Search Console queries by impressions.

If you have a website that's at least a year old and you have over 100 pages, you are almost certainly sitting on an SEO goldmine. Anytime we start doing SEO for a website like this, the first thing we do is go into Google Search Console. This is a free tool provided by Google that shows you what terms you're showing up for and which pages people clicked on...

Sort GSC queries by impressions, map relevant terms to pages, refresh headings, and resubmit updated pages.


If a relevant query is already in a heading, refresh the page with stronger headings, formatting, data, and title work without changing the URL.

Add a content-refresh SOP: improve headings and formatting, preserve the URL, submit in GSC, and recheck traffic after three weeks.


Google Business Profile rankings are heavily influenced by location/proximity, profile title, primary category, and review frequency; many other fields have smaller effects.

If you're a local business, your Google Business Profile is probably even more important than your website. And this is why it seems like a good idea to pay a company $500 a month to manage and optimize your Google Business Profile. But it's not. These companies are ripping you off. Now to be clear, I'm not talking about all local SEO agencies. I'm one of them...

For local clients, audit proximity constraints, legal profile name, primary/additional categories, and review velocity before paying for generic GBP management.


Adding search terms to a Google Business Profile name can improve ranking, but it is risky if the terms are not part of the real business name.

Treat GBP name keyword stuffing as risk/avoid; use search terms in the title only when they match the verified real-world or legal name.


Monthly GBP work worth doing includes adding new images, asking for reviews, checking/reporting competitor spam, monitoring new categories, and publishing offers/messages as posts.

last month. For some businesses like home remodeling, one review a month is plenty. For something like a restaurant, you should be trying to get multiple reviews every day. Now again, there are other things like services and business hours to impact ranking, but those are the four big ones. And at this point you might be saying, but TJ, my competitor has less reviews than me and is in the same primary category...

Build a lean GBP maintenance checklist focused on reviews, photos, category changes, spam monitoring, and useful posts.


Google Business Profile posts are described as a bulletin board for branded searchers, not a ranking factor.

dit their profiles. This is remarkably easy to do and your competitor doesn't even know that you did it. You should check Stirling Skies website to see if Google introduced any new categories this month that you might want to add to your listing...

Treat GBP posts as conversion/communication assets, not ranking levers; verify against stronger local SEO sources.


Some publishers report AI referral traffic is much lower than SEO traffic, but LendingTree reportedly claimed LLM/AI Overview traffic converts 4–5x better.

USA Today publisher Gannett said they blocked 75 million AI bots, 70 million from OpenAI. Their CEO said they want to stay in Google's blue links but not in AI overviews and it said there's not meaningful traffic coming from AI search. LendingTree said the same...

Track AI referral volume and conversion rate separately; avoid judging AI visibility only by traffic share.


LLMs and Google AI Mode may search for case studies when making product/service recommendations; having relevant case studies can help win recommendations against competitors without them.

You should be collecting case studies for your business. And that's not advice I would have given even six months ago. I've been doing SEO for 16 years, and while there's always been some utility in case studies, it's never been a core part of my strategy. I wanna talk about what I've been seeing just in the last six months that's made me start to prioritize getting case studies for my clients...

Prioritize collecting and publishing real case studies for service/product pages, especially where AI recommendation prompts are important.


Weaving case studies into existing content can demonstrate personal experience and expertise, potentially improving both conversion and organic performance.

ation by default. And the second is that Google's getting a lot better at ranking content that shares personal experience and true expertise. This is something I've been trying to do for years, but only recently have I really seen it working. Weaving relevant case studies into your existing content allows you to write from a position of expertise and authority...

Add concise, relevant case-study proof blocks to important landing and informational pages.


Public-company commentary says traditional SEO remains the foundation for GEO/AEO, while GEO is still sub-1% of top-of-funnel for one cited company.

Public companies are thinking deep on AI SEO. Wayfair we are using generative AI to put suppliers products in front of more customers. They've used LLMs to scale, scale and optimize SEO page titles, which has actually helped them with SEO in traditional Google search. Booking.com says they're still growing in traditional Google search...

Keep SEO fundamentals as the base layer for AI visibility work; monitor GEO/AEO growth without over-prioritizing it versus proven search demand.


Wayfair reportedly used LLMs to scale and optimize SEO page titles, improving traditional Google search performance.

Consider controlled LLM-assisted title optimization experiments with human QA and before/after measurement.


WP Rocket's Rocket Insights is presented as a way to monitor speed scores, review performance reports, retest fixes, and schedule checks.

I don't know about you, but this is gonna save me a ton of browser tabs and time. WP Rocket have just dropped a game-changing update that completely eliminates the need to check your site speed. In another tool, with Rocket Insights, you can see your page speed scores, access performance reports, optimise problem areas and retest so you can see instantly if your changes have improved your speed scores...

For WP Rocket sites, evaluate scheduled performance checks so speed drops are caught without relying only on manual PageSpeed tests.


PayPal and Shopify partnerships with OpenAI may let ecommerce catalogs appear directly in ChatGPT agentic commerce experiences.

So aayaal just announced a partnership with ChatGaT. Agentic Commerce has officially begun. It looks like very soon people will be able to buy products directly through ChatGaT because of this integration. So a few weeks ago, OpenAI announced Agentic Commerce arotocol, which is a new protocol that allows any e-commerce platform to connect directly with ChatGaT and around that same time, they also announced a...

Track OpenAI/PayPal/Shopify merchant integrations and verify whether eligible ecommerce clients can expose product catalogs through approved partner feeds.


ChatGPT product recommendations may depend heavily on merchant-supplied product titles, descriptions, specs, and reviews rather than mature Google-like ranking signals.

For ecommerce GEO, audit titles, descriptions, specs, and reviews as machine-readable recommendation inputs; validate against actual ChatGPT/agentic commerce results before standardizing.


The creator recommends descriptive product titles that include multiple buyer terms people might use when looking for the product.

f give it, things like the title, product description and reviews on your own website. So if you haven't already, make sure you've optimized your product's titles. Typically this is going to mean having very long titles to include all the different terms people might use when they're looking for this product...

Test descriptive product titles as a product-feed SEO/GEO hypothesis, while preserving readability and avoiding keyword stuffing.


For a new website, medium-to-long-tail niche keywords are easier to rank for and should guide initial page targeting.

This is the exact process I would follow if I was trying to rank a brand new website on Google or ChatGPT. My name is Kate, I'm an SEO specialist and I teach people SEO tips, methods, tools, anything that's gonna help you rank on Google or ChatGPT. We're covering a lot in this video, so make sure you save it. Start with keyword research. You're looking for medium- to long-tail keywords...

Start new-site SEO with medium/long-tail keyword research and assign each keyword to one unique target page.


Target keywords should be included in meta title, H1, URL, image filenames/alt text, body copy, and supporting H2/H3/H4 structure.

Build an on-page checklist for each target page covering title, H1, slug, image optimization, body usage, and supporting headings.


New-site SEO should include redirecting changed URLs, submitting sitemap in GSC, checking page speed, setting up social profiles/Google Business Profile, directory submissions, digital PR, and monthly tracking.

Use this as a review item for a new-site SEO baseline checklist; validate each item and adapt by business type.


Alertmouse is presented as a free alternative to Google Alerts for finding online brand/name mentions and conversations.

This new free tool is a million times better than Google Alerts. You put in your name, it shows you all these places that you're in. I was in MSN. I didn't even know that I was in MSN. Oh, it's because I went on Chris Kramer's podcast. But I wouldn't have found this mention without this tool. Use it especially for social listening. See what conversations you're mentioned in, comment on them...

Test Alertmouse for mention discovery; use discovered mentions to join relevant conversations and identify reputation/AI-visibility evidence sources.


A `Disallow: /` rule in robots.txt can tell search engines not to crawl/index the site, preventing visibility in Google and other search engines.

If your website isn't showing up on Google, ChatGPT, or any other search engine, this file could be the reason why. I can't tell you the amount of websites that I've seen have made this mistake, even if you've hired a professional to do the work. Here's what you need to check. Open your browser, type in yourdomain.com/robots.txt. This is the sort of thing that you want to see when you check the file...

Include `/robots.txt` checks in every technical SEO/GEO audit and flag accidental full-site disallow immediately.