A public professional Instagram profile can gain Google visibility when search-result visibility is enabled and captions include keywords.

Your profile has to be public and a professional account. But if you use keywords in your caption, you can actually rank on Google from Instagram and sometimes rank for keywords that make money.

For Instagram content meant to support search visibility, keep the profile public, use a professional account, enable search-result visibility, and write keyword-aware captions.


Google Business Profile primary and secondary categories should be checked against local-pack competitors because category mismatches can affect local rankings.

If their primary category is different than yours, it's super important. You get that fixed because that's a huge ranking factor. Secondary categories help as well. So make sure to add any you're missing.

Audit primary and secondary Google Business Profile categories against local-pack competitors, then correct missing or mismatched categories where accurate.


A business can improve AI recommendation readiness by adding original data, FAQs, clear service descriptions, specific business stats, reviews, third-party listings, local answers, and consistent business information.

Use your own original data on your website. Add frequently asked questions sections to your pages. Rewrite your Google Business Profile description with stats about your business. Keep your info consistent across the internet.

Use this as a local/AI visibility checklist: add first-party data, helpful FAQs, complete service descriptions, specific proof, reviews, third-party listings, and consistent business details.


Google Business Profile performance searches can reveal phrases people use to find a business, and those phrases can be used to improve service descriptions with local intent.

Watch this. If you go to your Google Business Profile, click performance, scroll down to searches. These are the exact phrases people typed in to find you on maps. Take the top five, go to your services, at any phrase that's not already a service, and write a description for each with your location, and it takes 10 seconds. Common SEO for a full audit.

Review Google Business Profile performance search phrases, identify the top terms that are not already represented as services, and add location-aware service descriptions where accurate.


WordPress defaults to showing latest posts on the homepage until a static page is created and selected in Settings > Reading.

Hey, thanks for the question. Look, sorry, probably didn't make it very clear. Let me just show you what I mean. Okay? So when you install WordPress fresh out the box, you'll see that under posts, you'll have one post called Hello World. That's always there. And under pages, you'll have a privacy policy page, which is a set draft, and you'll have a sample page...

For WordPress setup, create and publish a homepage page, then set Settings > Reading > homepage displays to that static page.


The source says Google Analytics AI and Google Search Console AI can surface high-intent searches and SEO-page engagement signals for page improvement work.

Write, "What high-intent searches are driving traffic to my site?" The AI will come up with something like searches matching buy, purchase, pricing, cost, demo, etc. Toggle on average position. Filter for position is greater than 5. Look for keywords in positions 5 to 10 that are relevant to you. Use these keywords high up in your content, in your introduction. Create a section at the top for them, in your page title, in your URL slug, in your H1.

Use Google Search Console AI to find high-intent searches ranking outside top positions, then place those terms higher on relevant pages or create dedicated pages when justified.


The source frames common WordPress plugins as visible clues about a site's SEO ownership, schema maturity, security history, SSL fixes, redirects, forms, and maintenance debt.

Rank Math: You actually get SEO, and you probably migrated from Yoast at like 2:00am one morning. Now you have loads of opinions on schema markup. Advanced Custom Fields: You're a grown up and you've had to work on a lot of sites that you didn't actually develop. Contact Form 7: You know there are better options. I know there are better options. Really Simple SSL: You googled, why is there a padlock warning on my site? Couldn't figure it out and just added the first plugin that fixed it. Redirection: You've inherited some absolute disaster sites, and this is the only thing holding it together.

Audit the WordPress plugin stack during SEO work: schema plugin choice, security history, SSL fixes, redirects, form plugin debt, and custom-field complexity can reveal maintenance risk.


Google Business Profile service-area settings do not make a business rank in nearby cities outside its real location boundary.

The service area section in your Google Business Profile has zero impact on your rankings in those service areas.

For local SEO expansion, treat city-border/location fit as a real ranking constraint; do not rely on Google Business Profile service-area fields as a shortcut into nearby cities.


Scraped Google Maps business data can be matched into Meta custom audiences for highly specific ad targeting.

we going to export all the phone numbers from the Google Map list over there then we going to go into Facebook and go into custom audiences upload that list and give it a bit of time again as you can see and as we know meta will only match it with people that are on the list but it's still great as you can see over here after a few minutes meta have told us that now they can target nearly 20,000 chiropractors in America

If using customer-list style ad targeting, validate data permission, match quality, and segment relevance before scaling local or professional-segment campaigns.


Every key website page should make contacting the business easy, not rely on one separate contact page.

You go to your website, add a contact form on every key page, make your phone number clickable, keep your pages fast and distraction free, and add one clear call to action per page. Then this will turn more clients into actual leads and this will make it effortless for them to reach out the moment they find the information they need.

Put a clear contact path on every important service page, then keep the page fast and focused so visitors can become leads without hunting for the contact page.


AI-generated self-promotional content can create short-term AI/search visibility while increasing future policy and quality risk.

Using AI to generate lots of content. That's like the main way that people are putting themselves into risky situations. There's a lot of manipulative stuff. Putting articles on your website that call you the best company and all the different categories that you care about. Yes, it works for AI search for a while, it works on Google for a while, but they're clearly identifying it, starting to nullify it.

Avoid scaling AI-generated self-praise pages as a GEO shortcut; build credible category proof and third-party evidence instead.


Competitor brand-name bidding can create both user-experience problems and brand-abuse risk in paid search.

Google are finally saying when people are bidding on competitor brand names, No. 1, this leads to abuse. And No. 2, it leads to a bad ad experience. Let me explain why. First and foremost, a bad ad experience means a person is going on to Google, they're searching a brand name, and by mistake they're clicking on a competitor who has bid on that name thinking that they're going to go the brand they're searching for, but they go to someone unrelated.

Audit competitor-name paid search campaigns against policy and user-confusion risk before relying on brand conquest traffic.


Price negotiation can surface as a direct objection during service sales conversations.

Listen, I'm a businessman. You're a business, er. Girl. Is there anything we can do on the price

Prepare a clear response framework for discount requests so pricing objections do not turn into improvised margin decisions.


AI-answer visibility can depend on ranking for the hidden Google-style searches that AI tools run in the background.

If you go to queryfan. Com, enter a topic to find a persona, the tool will show you the searches that ChatGPT and Gemini run in the background when answering questions about that topic. Because when someone asks an AI tool a question, it runs these normal Google style searches, finds ranking pages and uses those pages to build the answer.

Use query fan-out research to identify the hidden supporting searches your page must satisfy before expecting AI answers to cite it.


Self-promotional listicles may work briefly, but large-scale abuse can hit a tipping point and collapse visibility.

Self promotional listicles will work for a little bit, even if you make up competitors, but companies tend to spam them with thousands of posts. Hit a tipping point and Lose everything if you'd like to save years.

Do not build SEO/GEO strategy around fake competitor listicles; use sustainable landing pages aimed at real buyer intent instead.


Connecting a Google Business Profile to Gemini can improve profile management and give the AI immediate business context.

Connecting your Google Business Profile to Gemini does two things for you. One, it makes it easier to manage your profile once it's connected to Gemini. You can just ask it to respond to reviews for you, to make updates to your business information, to give you data on how your profile is performing, and to get insights on things like your busiest times or what customers are saying about you. But the other thing it does is it instantly gives Gemini a bunch of context about your business.

Connect and maintain business-profile data where appropriate, then treat it as one input into a broader AI-readable business knowledge base.


The source says government security concerns can temporarily remove public access to newly released AI models.

the American government had reached out to them and they're worried about security issues with Fable 5 and Mythos Five. Then what Anthropic said that for the moment, they have pulled back Fable 5 and no one can use it anymore.

Track model release, withdrawal, and security statements when planning AI-search tooling or content that depends on specific model capabilities.


The source frames jailbreak risk as a reason governments may scrutinize powerful AI systems.

The American government have said that they're worried about people jailbreaking it and using it, obviously for the wrong things.

When covering AI capabilities, separate launch excitement from security, jailbreak, and access-risk signals.


A business AI agent can be treated as a portable folder of markdown knowledge and instructions, not as a custom model.

An agent is just a folder. That's it. It's just a folder full of markdown files. That might sound weird, but consider that a website is also just a folder. A folder full of mostly HTML files. Now, unlike a website, we don't yet have an agreed upon standard for how we should arrange our agent files.

Start building a portable agent folder with business knowledge and operating instructions instead of tying the company agent to one model or harness.


The source argues that brand mentions and platform presence can matter more than traditional link building.

Links matter more than mentions. I don't think they do. I think mentions matter more than links. If you're still link building, I have great news: you can stop.

Balance link-building work with a plan to earn visible brand mentions on platforms where customers already pay attention.


The source recommends choosing early marketing channels where the audience pays attention, the brand has energy, and it can provide unique value.

I will always pick channels, tactics that do three things. One, serving my audience in the places they pay attention. Second one is, I don't think it is worth your time, energy to do something where you have no personal passion. The third one is, I would need something where I can provide unique value that nobody else provides.

Prioritize channels by audience attention, internal energy, and differentiated value before committing the first 90 days of marketing.


The practical job-risk message is not that AI replaces everyone, but that people who learn AI gain an advantage over people who avoid it.

You're gonna lose your job to somebody who learned AI better than you. Now, this is unbelievable. And this is the answer that I think is straightforward. You have to embrace AI. You have to start learning AI.

Treat AI literacy as a core operating skill: learn the tools, get comfortable using them, and make adoption part of professional development instead of waiting for certainty.


New brands can build credibility quickly by appearing on podcasts that create searchable public proof around the brand name.

If you are a new brand and you need to quickly build credibility, go to aipodcastmatcher.com. It makes it really easy to go on podcasts, even podcasts that not a lot of people listen to. These podcasts show up on Google when people search your name.

Use guest podcast appearances to create third-party search assets around the founder or brand name before broader authority exists.


Podcast titles and descriptions can help a name or brand show up when people search for it.

When you go on podcast, the podcast title and description uses your name. This makes it show up when people search you.

When doing podcast guesting, make sure the episode title and description use the person or brand name clearly.


The source says AI-driven loss of informational traffic may matter less than visibility for searches with buying or booking intent.

The searches that actually matter, like when someone is ready to book your services or buy your product, AI can't actually fulfil those. They still need you.

Measure AI-search impact by commercial intent and qualified customer actions, not only by lost informational traffic.


The source says structuring company knowledge is a prerequisite before integrating AI into workflows.

The most important part of that is how you structure your company's knowledge. As of today, June 12, we have the very first standard for how that knowledge should be structured.

Build a structured company knowledge base before expecting AI agents, prompts, or workflows to produce consistent business output.


The source describes Open Knowledge Format as markdown files with YAML front matter and optional index files.

First of all, it's just files. There's no SDK or compression schema that you have to worry about. It's just a series of markdown files in a nested hierarchy. Within each folder, you can have an optional index file that describes all the other files in that folder, and at the top of each markdown file, there's a mandatory YAML front matter.

Use simple markdown files, folder index files, and consistent YAML front matter when preparing knowledge assets for AI agents.


Claude can turn a complex, timezone-heavy event schedule into Google Calendar entries when the calendar connector and prompt are set up correctly.

But I worked out a quick hack with Claude that helps you sync all the games and all the schedules specifically to the South African time zone or I suppose any time zone that you want into your Google Calendar.

Use AI-assisted calendar workflows for complex public schedules, but verify the generated events before relying on them operationally.


AI can access and utilize review transcripts for brand credibility.

Make sure to put a transcript of your reviews with the description when you post it. This way AI can read it.

Include transcripts of reviews in post descriptions for AI readability.


The source says reposting positive brand content to social media can help AI and search find favorable reviews.

The biggest opportunity to have good things about your brand coming out is reposting everything positive to social media.

Publish testimonial videos with brand-name review language and readable descriptions so search and AI systems can use them.


Using specific language in social media posts can improve brand visibility.

Starting the post with this language, specifically your brand name, then the word review. Here's what happens when you do this a lot.

Start social media posts with your brand name followed by the word 'review'.


The source warns against using the strongest model by default for public-facing writing.

I wouldn't recommend using it for any kind of public facing writing.

Match the model to the job; use a simpler model when the task needs clean public copy instead of maximal reasoning.


The source frames Fable's strongest use case as software engineering.

Fable's biggest strength by a long shot, he's software engineering.

Spend frontier-model budget on complex software or tool-building work before using it on routine writing tasks.


Max Conversions bidding is unreliable when Google Ads is only tracking page clicks instead of real lead conversions.

the main one that they're tracking is people actually clicking on the Contact Us page, not completing the contact form, but the Contact us page

Audit conversion actions before judging campaign performance, and make sure form submissions or qualified leads are tracked instead of low-intent page visits.


AI feedback on a marketing agency strategy can mirror what the client wants to hear rather than expert judgment.

ChatGPT, Claude, Gemini. None of them are experts in anything. They are unbelievably biased towards something they think you wanna hear.

Use AI to clarify an agency proposal, but discuss strategic objections with the specialist instead of forwarding unvetted AI feedback as the final critique.


A company published 2,815 templated posts in 16 months while targeting search demand.

They put up 2,815 templated posts in 16 months.

Audit scaled content for repetition, searcher intent, and whether pages exist mainly to push your own funnel.


Every listicle put the publisher at No. 1 and made its own section four to seven times longer than competitors.

Every single one of their listicles put themselves at No. 1. The top section about themselves is always four to seven times longer than their competitors.

Make comparison pages useful for searchers before optimizing them for conversion.


Updating an already-published page can be faster than trying to rank a new piece of content from scratch.

Because this content has already been published on your site, if you can update it and get it ranking or improve its rankings, it's gonna take you way less time than getting a new piece of content to rank.

Before commissioning new SEO content, audit older posts for traffic decline, compare current ranking pages, and refresh the pages that already have history.


Google uses a rank transition function to create unpredictable ranking fluctuations

You make a change to your webpage, Google looks at the old rank of your page, then decides on your new rank. But before they do that, they put in what's called a rank transition function. This rank transition function is designed to give you unpredictable fluctuations in your rankings.

Research the expired patent's impact on current SEO practices


The source describes a Google patent that used ranking fluctuations to observe spammer behavior.

This observed behavior step allows Google to see if spammers freak out over the ranking fluctuations.

Avoid panic changes after ranking volatility; document changes and wait for stable evidence before reacting.


The content references a podcast discussing Google's SEO-related patents

I made a podcast about it here. And another newer interesting patent Google's new AI patent could replace your website! Episode 974 the Edward Show Podcast.

Engage with podcast content to gain insights on SEO trends


The source says the ranking-transition patent discussed in the video had expired.

Now it's important to note that this patent expired. Some SEOs think this is because Google doesn't want people thinking they still use it.

Treat old search patents as research context, not as proof of a current ranking system.


AI citations depend on the content of the pages it references

you need to make sure the pages it citing are saying those nice things about you

Create dedicated pages for reviews, awards, and FAQs on your website


Local businesses should focus on creating content for AI citation

most of the opportunity is typically on your own website and here's the thing when people are asking about your brand specifically those are branded searches the AI is performing your website is the number one authority in the world on your brand

Ensure your website has content for all branded queries


The source says AI answers about a brand often summarize the pages the model cited.

what you'll find most of the time is that its response is essentially just summarizing the content on the pages that it cited

Improve the cited pages first; those pages are likely shaping what AI says about the brand.


TJ Robertson argues that an AI recommendation can matter more than a top search ranking for reputation.

a recommendation from AI means a lot more than ranking at the top of a search engine

Track branded AI prompts and compare what models say against the pages they cite.


An internal company knowledge base is a practical first step before more sophisticated AI-agent work.

Create an internal knowledge base for your company. Document all the information about your company in a way that's easy for AI to understand. You're Gonna need this before you do anything sophisticated with AI, and it can help you a lot right now.

Document company information in a structure that AI can understand before investing in speculative agentic-web experiments.


High-intent landing and product pages can win AI citations even when a site does not have the strongest backlink profile.

74% of ChatGPT citations go to sites with a domain authority under 80. This means you don't have to have the most SEO backlinks to get mentioned in ChatGPT. High intent pages are winning the actual citations.

Prioritize high-intent product, service, and landing pages over generic blog posts when building pages meant to be cited by AI search systems.


AI-agent value is often sold as part of a human service layer, not as raw access to the agent alone.

So when you hire us, you aren't merely paying for access to an AI agent, but that is part of what you're paying for.

When packaging AI-assisted services, make clear which parts are agent-driven and which parts depend on human judgment, relationships, and governance.


Image SEO can create additional search and AI visibility when files are named, described, compressed, and served efficiently.

Use keyword rich file names. Descriptive alt text optional, but use webps instead of PNGs or JPEGs. Webps are faster. Compress your images. Tiny PNG handles all types of images. It's really good. Those simple things and you will get so many more impressions with your images showing up on Google Images getting picked by ChatGPT.

Use keyword-rich image filenames, descriptive alt text where useful, WebP files, and compression so images can earn visibility in Google Images and AI surfaces.


Rewarding customers for reviews can put local Google reviews and even the business listing at risk.

We do not allow merchants to offer incentives such as payment discounts, free goods and/or services in exchange for posting any review or revision or removal of a negative review. Google, in fact, has a whole section on what you can't do to get reviews over here. Getting caught can lead to reviews being deleted or, even worse, the business listing being suspended.

Avoid incentives tied to review posting, revision, or negative-review removal; build review requests around compliant customer follow-up instead.


Single-purpose AI-generated sites are useful, but durable AI operations still need one canonical company knowledge base.

These web applications are completely isolated from the rest of your work. They're incredibly useful for collecting information, coordinating across your team, and making important decisions. But that information and those decisions need to be reflected in your knowledge base.

Use temporary AI-generated apps for decisions and coordination, but make sure the final information is reflected in the company's canonical knowledge base.


High-quality AI content needs a brand knowledge base, reusable instructions, revision memory, and fact checking.

First revision compares the article to all content guidelines we created for this brand. And those guidelines come from all previous content we reviewed and provided feedback on. Anytime we or the client had feedback on an article, all of that is getting fed back into this document. Part of their knowledge base. And this entire step is devoted to making sure any feedback that has been received in the past is applied to every article going forward. Then the second revision skill is a fact checker.

Before scaling AI content, build a knowledge base and revision workflow that captures brand voice, client feedback, source requirements, and factual checks.


AI performance reporting in Search Console gives SEOs a way to discuss AI Overview and AI Mode visibility with clients.

This AI performance report which is slowly rolling out is going to see the clicks and the impressions and the stats that have been bought our website from AI overviews and AI mode. This is huge and massive because all people, me included that are involved in the SEO world have been begging Google for it.

When AI performance reporting is available, use it to separate AI-search visibility conversations from traditional organic ranking reports.


SEO in 2026 is inseparable from AI search visibility, so ranking-only tactics are no longer enough.

Website SEO in 2026 includes AI search. Google have literally just announced that they are leaning way more into AI Mode being the default way people are searching. So when you're optimising for Google, you are optimising for AI search.

Shift SEO reporting and content work toward visibility across Google AI features and AI search behavior instead of treating AI optimization as a separate add-on.


Relevant high-ranking pages can be used as internal-link sources to help lift pages stuck below top positions.

Look at your relevant high ranking pages, then link from one of these pages to the page you have that is stuck around here. This is what's called an internal link, and it'll help take your page to here.

Use Search Console to find relevant pages with strong average positions, then add contextual internal links from those pages to target pages that need a ranking lift.


Generative AI search reporting may shift SEO analysis toward page-level impressions rather than full query or click attribution.

It'll be available inside Google Search Console in a new generative AI report. Looks exactly like the existing search report, except we aren't getting click data or query data, which means we're only seeing impressions. But you'll be able to see every page on your website that showed up in generated AI and how many impressions it receives each day.

Prepare AI-search reporting dashboards around page visibility and impression trends, while being explicit about missing query-level and click-source detail.


Niche blogs are vulnerable to AI search unless they build original content, multi-channel presence, and a real brand.

The only ones that I've seen survive it have put serious graft into original and hyper niche content. They've been supplementing with content on YouTube and building a brand around their niche. Even they have lost revenue and traffic from AI.

Avoid thin niche-blog plays; invest in original expertise, YouTube or social distribution, and brand-building around the niche.


AI tools can support SEO work, but they do not replace the judgment, experience, and nuance of SEO specialists.

The answer is obvious that AI is not there yet and I don't think it's going to be for a very, very long time that you can just go fire your SEO. Experts. SEO. Takes a lot more than just AI. It takes a lot of brain power, intuition and a lot of experience and nuances.

Use AI as part of the SEO workflow, but keep experienced human review for strategy, prioritization, tradeoffs, and business-specific judgment.


Advanced AI models work better when the prompt defines the goal and success criteria instead of micromanaging every step.

If you try to use 4.8 the way you used dumber models, where you give it explicit step by step instructions, it's gonna overthink the task and just spend all your tokens. But if you treat it like the super smart senior level member of your team that it really is, and just to find exactly what success looks like, let it come up with the step by step instructions, it's phenomenal.

For senior-level model work, load the relevant context, state what success looks like, and let the model choose the intermediate steps rather than forcing a brittle step-by-step script.


Paid backlinks sit in a gray area where Google policy risk and competitive SEO practice do not match cleanly.

First and foremost, if you take a look at Google's policy, they say if you buy backlinks for your websites and they find it out, they're going to penalize you. And they've always said that you shouldn't push backlinks too much. But in reality, it's completely different.

If backlinks enter the strategy discussion, separate policy risk, competitive reality, and safer digital PR options instead of treating paid links as either harmless or nonexistent.


Ranking and traffic movement during a Google core update rollout should not be treated as the final baseline.

Your new baseline should start from today, June 3rd. Wait at least a week, then you can compare your rankings, visibility, and traffic to before the 21st May to see the impact.

After a core update finishes, wait before comparing rankings, visibility, and traffic against the pre-update period so temporary rollout volatility does not drive the wrong decision.


Generative AI performance reporting in Search Console can turn AI search visibility into something SEOs can track by impressions, pages, devices, and countries.

You can use this new report to see how your organic impressions from search generative AI features change over time. See what pages are getting the highest or lowest impressions in generative AI features. Understand where your generative AI impressions are originating, for example by device or country.

When the report is available, use it to separate AI-search impressions and affected pages from normal organic search reporting instead of guessing from traffic drops alone.


Connecting Microsoft Clarity data to Claude can help turn heatmap and behavior data into conversion-fix recommendations.

using Microsoft Clarity, show me what is going on in my website, where people are dropping off, what the problems are, and tell me how to fix it. Claude will tell you based on the heat maps and all the information that it's got from Microsoft Clarity where the problems are, how to fix it.

Use Clarity session and heatmap data as context for an AI review, then ask for drop-off points, likely problems, and specific website fixes before changing the page.


AI search is more damaging to informational publishing than to business pages that target buyer-intent discovery and lead-generation queries.

If you are a niche blogger, if you are a publisher, these AI features will hurt you. If you are a business trying to get customers, trying to get leads from SEO, these AI features will make no difference. Or they will help you for people who are looking.

Prioritize pages for people who are ready to buy, compare providers, or book a discovery call instead of relying only on informational content that AI answers can replace.


A robots.txt file that disallows the whole site can make every other SEO effort pointless until indexing is unblocked.

If you see disallow followed by a forward slash and nothing else after it, this is a problem. This is effectively telling search engines to completely ignore your website and that you don't want them to crawl or index it, which means they're never gonna show it in search results or mention.

Check `/robots.txt` early in technical SEO audits and fix any whole-site disallow rule before spending time on content, links, or AI visibility improvements.


Google Ads optimization breaks down when campaigns chase made-up conversion values or page-click events instead of real form submissions.

the contact forms that they are chasing after, if you dig deep under what they're actually showing is people that are clicking on the Contact Us page, they're not actually tracking people that have converted the contact forms again, this is a major problem.

Audit conversion goals before judging campaign performance: confirm that forms, calls, or qualified leads are tracked correctly before optimizing bidding or campaign structure.


Traffic drops during a Google core update rollout should be treated as temporary volatility until the update finishes.

Before you start freaking out about this, you need to know this happens with pretty much every core algorithm update, and the rankings that you currently have are not necessarily what they're gonna stay at.

Wait for the update to finish before diagnosing losses, then compare rankings, content, and traffic against the pre-update baseline.


Google result volatility can affect both organic traffic reporting and AI answer systems that rely on Google results.

When Google updates its algorithms, the results in Google move up and down. This is what's called volatility. This also affects AI. A lot of major AI systems like ChatGPT rely on Google. When the results change, ChatGPT gets different information.

Use volatility monitoring during ranking swings so client reporting separates normal algorithm turbulence from problems that require a strategy change.


AI-search optimization can start by identifying what ChatGPT searches for, then building SEO pages around those query patterns.

See what AI is searching, then do SEO for those searches. Use product pages, landing pages. These are two of the most cited assets in ChatGPT.

Look for the queries AI systems use to ground answers, then create product pages, landing pages, or other conversion-focused assets that directly satisfy those searches.


In AI search, content still matters because it can influence the answers AI systems generate even when fewer users click through.

AI is gonna train on my data, and then it's just gonna summarize my answer. Great. You get to influence the most powerful technology in human history.

Create content that AI systems can find, cite, and use to answer buyer questions instead of measuring content value only by direct website visits.


Collapsible FAQ content can be good UX, but fully visible FAQ text may perform better on pages targeting competitive SEO keywords.

This SEO test had text within an accordion versus fully visible text. This was split tested across many product pages. The version with text fully visible got 12% more organic sessions than the hidden text version.

For SEO-critical pages, test whether important FAQ answers should be visible by default rather than hidden in accordions.


If AI systems append terms like Reddit, reviews, or awards during query fanout, brands can create pages that answer those modified searches.

If you know what terms ChatGPT is appending to their fanout queries, you can optimize for those terms. So you can make a page on your website titled your brand, your product or service Reddit.

Map the modifiers AI systems append to brand and product searches, then build honest pages for Reddit discussion, reviews, awards, and similar citation-prone queries.


Schools that ban AI outright may leave students behind because employers increasingly expect practical AI proficiency.

First and foremost, AI is here to stay. Secondly, if you're going into the job market today and you want to keep your job, you have to be proficient in AI.

Teach AI as a guided skill: show students how to use it for tutoring, study aids, and understanding, while still requiring effort and judgment.


AI labels can change how users judge synthetic competitor-review videos that show up in branded Google searches.

People are putting up AI videos targeting competitor brand names. For example, somebody puts up a video giving a review of a competitor's brand. This review uses a photorealistic AI avatar. The review is negative. It shows up on Google for anybody searching competitor, then review.

Monitor branded and competitor-review search results for synthetic video content, and treat visible AI labeling as part of reputation and trust analysis.


AI workflows should keep data structured enough that the team can swap models when quality, cost, or task fit changes.

For now, I think it's just important to remain agile. Make sure your data is structured in a way that you can easily swap out the model as needed.

Design AI workflows around portable structured data and repeatable prompts instead of assuming one model will stay best for every public-facing task.


Service and SaaS businesses need documented product, service, and business information that AI agents can access.

At the very least, start collecting and documenting as much information as possible about your product, services, and business. It's hard to predict the exact shape of the future, but we can be confident that having this documentation is going to be incredibly valuable, both for internal use and for being found online.

Create supplemental pages that answer detailed product, service, pricing, and business questions, then link them from the main page for AI discovery.


Google Merchant Center conversational attributes let ecommerce brands feed AI agents richer product information.

These are new optional attributes that you can share with Google inside of Google Merchant Center, and they're specifically intended to give AI agents more information about your products.

For ecommerce products, add optional conversational attributes through supplementary feeds so AI systems can answer product questions beyond the primary feed.


WordPress plugin bloat can slow a site and increase breakage or hack risk when multiple plugins duplicate the same jobs.

Most WordPress websites have got way too many plugins on them, and you probably don't even need half of them. Having too many plugins on your WordPress website can make it open to breaks hacks, and it's gonna slow it down.

Audit plugin overlap and consolidate where possible: keep one SEO plugin, route tags through GTM, and avoid separate plugins for jobs the theme or one trusted plugin can handle.


For feature-led SaaS pages, searcher language should appear in the title, URL slug, H1, and opening sentence.

Take the exact language that your searchers are doing. Put it in your page title, your URL. Slug your H1 the beginning of your first sentence. Make pages on your website that explain how your product does what these people are looking for.

When building a page for a high-intent feature query, reuse the query language in the core on-page fields and explain exactly how the product solves it.


Small software products can win by targeting low-volume, high-intent keywords that larger SaaS platforms ignore.

There's less people with high intent. That's a rule of marketing. That means these searches have lower volume because cause they have lower volume, they very often go untargeted. The big player whose feature you just vibe coded. They're not bothering to target these high intent keywords. You are.

Find feature-level searches with purchase or usage intent, then build focused product pages around the exact language searchers use.


Businesses need web, profile, form, and phone information ready for AI agents that compare options for buyers.

AI agents will be scouring your website. If you're a local business, your Google Business Profile, but they'll even be filling out forms and calling you to get that information.

Make pricing, services, booking options, fit criteria, and contact paths explicit so an AI agent can collect enough information to recommend the business.


Local businesses should complete Google Business Profile fields because AI agents may use them to compare providers.

If you're a local business, you need to make sure you filled out every field on your Google Business Profile, including all of your services. And if you have a booking option through a third party integration, make sure that's connected.

Fill out every relevant Google Business Profile field, list services clearly, and connect booking integrations where available.


Universal cart turns product discovery across Google surfaces into AI-assisted shopping and price comparison.

Google have said it works across all of their products. So whether you're on Gemini, whether you're on YouTube, in Gmail, on search, the display network, wherever you are, you can add products to this Universal Cart.

For ecommerce visibility, prepare product data so AI shopping surfaces can compare availability, price, and purchase options.


Schema, LLMs.txt, special markup, chunking, and AI-only rewrites should not be treated as magic requirements for AI visibility.

They have a whole section about myths that people spread about how to get mentioned in AI, over focusing on structured data. That means schema. That's one of the myths. LLMs.txt files and other special markups: another one of the myths. Chunking content. Says right here: no requirements. Rewriting content just for AI: another one of the myths.

Treat AI visibility tactics as supporting work, not shortcuts; avoid rebuilding content around myths that are not required.


Google says SEO best practices still matter for generative AI search because AI features rely on core search ranking and quality systems.

Is SEO still relevant for generative AI search? Google literally says yes. The best practices for SEO continue to be relevant because generative AI features on Google Search is the same with ChatGPT, by the way. They're rooted in core search ranking and quality systems.

Keep the SEO fundamentals strong before chasing AI-only tactics: crawlable pages, useful content, trustworthy signals, and search quality basics.


Ecommerce keyword research should prioritize commercial intent, achievable difficulty, and enough search volume to matter.

Intent, which is the reason why they're searching. You wanna look for commercial and transactional intent keywords, because these are the ones that people search when they're looking to buy. Keyword difficulty. This is how easy a keyword is to rank for. Obviously you wanna go for easier because you're more likely to rank. And volume, which is how many times that keyword is approximately searched per month.

Build product-page keyword targets by checking buyer intent first, then filtering for realistic difficulty and meaningful monthly search demand.


Detailed reviews should use terms that answer real local queries because Google is looking for trusted user-generated content.

Google is looking for user-generated content that it can trust, with terms that answer user queries directly.

Encourage specific, useful reviews that mention the customer need, service context, location, and outcome in natural language.


Google Maps lists may draw from trusted UGC, relevant list-style articles, and detailed customer reviews.

These lists are generated from user-generated content, from blog style relevant articles and list format, highly detailed reviews from customer posts with photos and videos.

Support local visibility with review depth, useful local lists, and customer content that clearly answers what people search for nearby.


SEO becomes more straightforward when a business publishes pages for the exact comparisons people search.

Comparison pages, versus pages, are doing super well in search and with AI. SEO is actually very straightforward. Put up content for the things that people search.

Map high-intent comparison queries, then publish useful pages that answer those buyer questions directly.


Comparison and versus pages can help a business control its narrative in search results and AI answers.

Rippling is controlling the narrative. Guess what? This also gets cited in the AI overview if you ask ChatGPT, Rippling versus deal. It literally has it in its web search.

Create honest comparison pages around the questions buyers already search instead of leaving competitor narratives uncontested.


AI-ready websites need a data structure that gives AI direct access to the files that make up the site.

More importantly, this will allow you to give AI direct access to the files on your website.

Design the website around accessible source files and clear structure, not only around a visual page builder.


Website data should be structured so the software layer can be replaced without losing control of pages and files.

As long as your website data follows typical website standards as HTML pages organized inside folders, swapping out that software layer will be trivial.

Keep website content portable, standards-based, and organized so future AI tools or CMS changes can work with the same source files.


AI work is worth doing early when the difficulty is structural, such as organizing business knowledge for AI access.

So you know you should be doing more with AI. You know there's work you're doing right now that AI could do better, but you also know what it feels like to spend a week figuring out how to hand something over to AI, only for some new feature or tool to come out and completely replace your process. Or maybe to just give up after a week because it was too hard...

Prioritize structured business documentation now, and wait on custom AI workflows that major platforms are likely to make easy soon.


Competitor alternative pages and comparison tables can target competitor/alternative searches and may be cited in AI search.

If you have any type of business, put up a page on your website titled your competitor's name, then the word "alternative." Explain why you are a great alternative to your competitor. Explain it really concise. Give a button before people even start scrolling that lets people use your business right there. Get driving directions, use your app. Make a call. Have a comparison within this alternative page...

Create alternative/comparison pages only for suitable competitors, with concise truthful differentiation and a clear conversion action.


The passage warns that broad scaled AI content can disappoint searchers and manufacture bad user signals.

This company's scaled its SEO results like these NYC skyscrapers, and now it's crashing. Its blog has been entirely removed from Google. If you want to know how to get your brand remove from Google search, pay attention. Hundreds of completely AI-generated articles in a variety of niches. Parable articles too. There are no images in these articles except for the AI-generated heading image...

Add a scaled-AI-content risk check for niche drift, thin media, and unmet search intent.


Thin AI articles with no multimedia, broad unrelated topics, and poor user satisfaction are high-risk even if they work briefly.

Require intent satisfaction, topical fit, media/proof, and user value checks before publishing at scale.


SEO is shifting from only Google rankings to multi-platform brand presence across ChatGPT, Claude, AI Overviews, Reddit, TikTok, YouTube, and audience surfaces.

We have officially entered the post ranking era of SEO. It is not just about ranking on Google. Your brand also needs to appear on ChatGPT, Claude, AI overviews. And it needs to have a presence on Reddit, TikTok, YouTube, and anywhere else your audience is spending time. Which means that SEO is now about your entire online presence. And here's why. First, your target audience is searching on all of them...

Build topic ecosystems, not isolated keyword pages.


AI mentions brands based on relevance, authority, recognition, and repeated topical presence, not simple keyword repetition.

Track topic-level entity presence across platforms.


Brands should stop targeting isolated keywords and start targeting topics because users prompt AI tools with broader intent.

Convert keyword maps into topic/entity maps.


The creator treats the May 2026 core update and Google generative-AI guidance connection as speculation until results can be tracked.

Google just announced a major update to their core search algorithm. I wanna talk about how you should think about updates like these and what they might mean for your business or website. So Google does three or four of these major updates every year. They used to have fun names like Penguin or Panda. Now they're just named after the month they came out. So this is the May 2026 core update?...

Monitor post-update ranking and citation movement before changing methodology; treat early interpretations as hypotheses.


Generic commodity topics are less likely to be indexed or cited unless the site is a top authority; specific question/intent matching is claimed to perform better.

fter this update. As Marie points out, a lot of the guidance was about how you shouldn't be writing for machines, you should be writing for humans. You should be sharing real experience. This reminded me of one line in that guide that I keep coming back to. It's just been stuck in my head. Google said you should avoid writing commodity content. Things like seven tips for first time home buyers. And I agree...

Prefer specific, intent-matched topics with unique experience or proof over broad generic listicles.


Google's suggested example of ambiguous firsthand-experience content may conflict with observed SEO/AI citation behavior, where topics matching real searches still perform best.

Add as review contradiction: firsthand experience may matter, but topic/query alignment should not be abandoned without evidence.


A small technical SEO baseline matters: HTTPS, robots/indexability, sitemap, broken links, orphan pages, speed/Core Web Vitals, image compression, schema, UX testing.

Way too many of you are focusing on things that don't actually matter when it comes to your website SEO. And one of the worst offenders for this is technical SEO. Some of you are spending so much time on this you don't need to. I've put together a checklist. Here's what you need to do. First, and I really hope you're all doing this, SSL certificate. And make sure you're using the HTTPS version of your URL...

Add baseline technical checklist to intake SOP.


Google Maps can surface social media updates; local businesses should connect social profiles to GBP and post service/location/product proof.

This is absolutely bonkers. Google is now pulling social media posts directly into Google Maps. It looks like this: you see a business profile, then there's social media updates. If you are not posting on social and you have a local business, you need to start now. This is from one of the top voices in local SEO...

Add social profile connection and service/location posting to local SEO checklist.


Websites should become usable by AI agents, not only humans; agents need to understand structure, forms, and possible actions.

If you have a website, you need to make sure that not just humans, but also AI agents are able to use that website. This is an initiative that Google has been taking the lead on. And this week at Google IO, we saw their latest push in this direction. So I'll talk about two new things you're going to have to start thinking about when you're designing your website: L O M S T X T and WebMCP...

Audit forms/tools for agent accessibility and structured intent.


llms.txt` may not help AI search rankings directly, but may help agents understand site structure and available information/actions.

Treat `llms.txt` as experimental agent-readiness asset.


WebMCP/form annotations may let agents understand and use forms or interactive JavaScript tools.

ide the Chrome browser Google IO, we learned that it will probably be widespread pretty soon. Now there's two ways that WebMCP can be set up on your website. If you have any HTML forms on your website, you can just add a few extra tags. Give the AI confidence in what each field does and what the form itself does...

Track WebMCP as experimental technical GEO factor.


LLMs can repeat information from web sources they retrieve, including press releases, Reddit, YouTube, and social posts.

I just want to remind you it is incredibly easy to influence large language models. People are using press releases, Reddit, YouTube to rank number one on Google in hours. Large language models use web searches to get most of their information. They come across what is being planted by SEOs. They regurgitate it as if it is fact. They don't actually know. They just say what comes up...

For AI visibility work, audit which sources an LLM cites and improve accurate, reviewable assets on those surfaces.


Brand review and legitimacy assets may shape AI due-diligence answers when those assets are retrieved or cited by LLMs.

Build accurate brand-review and legitimacy pages only with truthful claims, then monitor whether AI answers cite those assets.


AI-generated SEO content fails when the user provides no original data; AI will recycle existing ranking sources and create generic content.

Most of you are not using AI correctly, and it's why your SEO is not working. It doesn't matter what prompt you use. It doesn't matter what AI tool you use. If you're using it like this, you're doing it wrong. AI cannot come up with brand new information. It either works off the information that you give it, or it goes and finds it...

Require client data, examples, expertise, proof before AI-assisted content generation.


AI Overviews reduce informational clicks; prioritize commercial/conversion landing pages where users need a provider or product, not generic how-to posts.

The old way of doing SEO doesn't work anymore. The old way was putting up pages, how, what, when, where, answering questions that people have. That is gone. A recent study showed that AI overviews reduce clicks to websites by 58%. What you have to do instead is figure out searches people are doing where they want your brand. These aren't how, what, when, where, why searches...

Separate informational content from money-intent landing page strategy.


As AI curates search results, traditional rank tracking weakens and visibility work shifts toward prompts, responses, and cited websites.

heck on the status of something, and every day it'll give you a notification on your phone, and all that's really cool. But the thing that actually has an impact on how we do SEO is that all these results are being orchestrated by AI. Yes, we will still have blue links to websites in the search results. The process Google uses to select which blue links show up now has an added AI layer on top of it...

Track representative user prompts, response patterns, cited websites, and competitor mentions instead of relying only on fixed keyword ranks.


AI search influence can come from being recommended on pages already cited by AI or creating stronger content that replaces those cited pages.

Map pages that influence AI responses, then pursue honest inclusion or publish better content that deserves to be cited.


The creator says driving-directions activity is a major local-search signal and suggests legitimate events/offers to drive real direction requests.

It still boggles my mind how people are hacking Google Maps. Driving directions are one of the biggest ranking factors in Google Maps. People get their friends and families to use driving directions to go to their businesses. Some people are crazy. They hire other people who drive around with hundreds of phones all using driving directions to get to the business in Google Maps...

Use events, offers, and social promotion to create legitimate direction demand; avoid fake or manipulative location-signal tactics.


Artificially manipulating Google Maps direction requests with phone farms/drivers is presented as a hack, but it is risky and should be treated as non-compliant manipulation.

Keep as a risk/abuse pattern; do not add to client methodology except as “avoid”.


The creator argues SEO strategy should prioritize what is working now over predicting future Google/AI changes, while avoiding penalties and brand-damaging tactics.

Blog posts are gonna stop working pretty soon, right? I talk a lot about how effective blog posts are right now for SEO, among other tactics, and one of the comments I get most often is, this is gonna stop working soon, though. Google's changing, AI is getting smarter, and these kind of tactics, we're just not gonna work much longer. We should focus on what's actually gonna work in the future...

Use current performance data for tactical priorities; maintain a risk filter for penalties and brand trust.


The creator says landing-page variants still work well despite earlier expectations that Google's systems would make them unnecessary.

Review landing-page variant strategy against current ranking and revenue data before removing pages based on future predictions.


Titles and content should match the intent people or AI systems search for, even when exact-match keywords are not required.

Keep intent-matched titles and page scopes in SEO and AI-search briefs instead of relying only on exact keyword phrasing.


Businesses need marketing evidence for both humans and AI because AI recommendations are influenced by facts, data, and third-party reviews.

As a business, you can't just be marketing to humans anymore. You need to be marketing to humans and AI. I'll explain what I mean and then talk about how you can take advantage of this change. Until recently, marketing was about getting attention on your brand through ads or SEO, and then once you have that attention, convincing a human to become a customer...

Build brand proof assets around verifiable facts, useful data, and credible third-party reviews instead of relying only on emotional copy.


AI may repeat verifiable brand facts, but positive sentiment needs third-party reviews or endorsements to carry weight.

s your product so great. And here's the thing: as long as you're making empirical claims, as long as you're sharing facts that in theory could be disproven, modern AI is typically just gonna take you at your word. It'll happily repeat back any facts you share about your own brand and use them as evidence that you're a good fit for the user...

Identify the review sites AI cites in the industry and prioritize credible review generation on the few sources that matter most.


Reviews, awards, FAQ, and about pages can help AI understand a brand when they contain specific stats and factual proof.

Audit proof pages for concrete stats, awards, reviews, facts, and experience that can be verified or reasonably disproven.


Small businesses can reduce marketing workload by automatically republishing short video content across TikTok, YouTube Shorts, Snapchat, Pinterest, LinkedIn, Instagram Reels, Google Drive, and Facebook.

How many businesses out here could have an easier time doing marketing if they just knew some basics of automation? Go to Reusevideo com. This makes it so if you post a video to one platform, it automatically comes out to every other platform. You don't have to do anything. It automatically releases to every other platform...

Add cross-posting automation as a lightweight distribution checklist item for resource-constrained clients.


Marketing execution can be simplified by knowing and using the right automation tools instead of manually posting to each channel.

Create a “single video → multi-platform distribution” tool evaluation backlog item.


Before spending on SEO, verify pages are indexed in Google and Bing; non-indexed pages cannot show in Google, ChatGPT, or search engines.

If your website isn't showing up on Google or being mentioned ChatGPT, do this before you spend any time or money on SEO. Search engines have an index where they store all of the data on the pages they show in their search results. And if your pages aren't in this index, they're never gonna show up on Google, ChatGPT, or any other search engine...

Add Google/Bing index check before campaign work.


Google warns against creating many similar content variations for generative search manipulation because it can trigger scaled content abuse risk.

Google just released their guide for how to rank in Google's AI features. I wanna talk about what we can take away from it. Specifically, it's what Google's telling us not to do that I think is most insightful. The guide is called Optimizing Your Website for Generative AI Features in Google Search. The guide starts the same way all of Google's SEO guidance starts. Just write for humans...

Avoid mass near-duplicate pages for synonymous terms or thin demographic variants unless each page has distinct substance.


The creator says limited demographic or use-case variants can work when each version has distinct information and is not overdone.

Test small sets of genuinely distinct use-case or demographic pages only when each page has unique value and clear intent.


Inauthentic spam mentions across the web are risky; the creator says Google may ignore spam pages and warns against low-quality mention building.

rticle, targeting 12 different demographics with 12 variations is very effective and doesn't put you at risk of a penalty. They also tell you you shouldn't be trying to get inauthentic mentions of your brand. In other words, you shouldn't be spamming mentions and recommendations for your brand all across the internet...

risk/avoid: Do not spam brand mentions or recommendations on low-quality pages; only evaluate already-cited/trusted surfaces during review.


The creator says llms.txt, markdown page versions, content chunking, and extra structured data are not required to rank in Google's AI features.

Treat these technical assets as optional experiments or support material, not proven requirements for AI-feature ranking.


AI and Google citations may concentrate around a small number of high-cited Reddit threads rather than all relevant Reddit discussions.

Reddit just became even more important for businesses. Reddit was already dominating Google search results and having an outsized return on AI responses, but now Google is experimenting with showing Reddit comments directly in the AI response as well as on Google Business Profiles...

Build a cited-thread map before doing Reddit work; prioritize monitoring and legitimate participation in high-cited threads.


The tactic of commenting on cited Reddit threads to get AI citations can become manipulative if done as disguised promotion or with fake accounts.

risk/avoid: Only use transparent, helpful, disclosure-based participation; avoid fake accounts, astroturfing, and moderator-hostile promotion.


The passage claims a branded reviews site can appear when ChatGPT searches a business name plus reviews.

If you have any type of business, buy a domain name. Your business name plus the word reviews. Your business name reviews. Put all of your reviews on this website. List them all out. Write everything. All of the reviews that you would want people to see. When people are doing due diligence on your business, ChatGPT goes to Google, searches your business name and the word reviews. This website comes up...

Test branded review-page visibility with authenticity, disclosure, and link-quality safeguards.


A review-focused asset needs a link from the main website so Google can discover/rank it and AI tools can find it through search.

Add internal link/discovery requirement to review-asset SOP.


Google says SEO best practices remain relevant for generative AI search because AI features are rooted in core search and quality systems.

How many times have you seen this? SEO is dead, AI search is replacing SEO. This one is literally from Forbes. You see it everywhere. Google just released a guide how to rank in AI. Is SEO still relevant for generative AI search? Yes, the best practices for SEO continue to be relevant. Generative AI features are rooted in their core search and quality systems...

Keep SEO fundamentals as the base layer of GEO/AEO methodology.


Suggested AI-search tactics such as `llms.txt`, chunking content, rewriting only for AI systems, inauthentic mentions, or over-focusing on schema should not be assumed valuable without evidence.

Add these tactics to an “experimental / verify before selling” list.


Google may avoid indexing commodity content because repeated information adds little value and creates index bloat.

Google is now ignoring the vast majority of content online. Let's talk about why this is and how you can make sure your pages don't get ignored. So it used to be that Google included the majority of content online in their index, meaning when you did a Google search, Google was looking through most of the pages on the internet. And that's because there was a manageable number of pages...

Audit non-indexed pages for topic uniqueness, authority fit, and whether the URL implies a topic already covered by stronger sites.


Discovered - currently not indexed` can indicate Google rejected the URL/topic before crawling; `Crawled - currently not indexed` can indicate authority or content-quality issues after crawl.

ides your content is commodity content without even looking at the content. If you go into Google Search Console and you look at your pages report, you might find some of your pages marked as discovered, not indexed. These are pages that Google didn't even bother to look at. They just found the URL and decided now we don't want this in our index. There's two main reasons this might happen...

Separate index diagnostics by GSC status and use different fixes for URL/topic fit vs content depth.


High fact density, statistics, data points, quotes, charts, tables, and bullets can signal depth and effort in SEO content.

ntent and decide never mind. In this case, it could be an authority issue, or it could be a content issue. The more authority your website has, the less critical they're gonna be of the content. But let's focus on the content side, since that's the only one you can address immediately...

Add fact-density, source evidence, and structured-detail requirements to AI-assisted content briefs.


AI-written content becomes generic from bare prompts; better SEO output needs brand knowledge, opinions, experience, research, and guidelines.

Require brand knowledge, original experience, research inputs, and SEO guidelines before generating publishable AI-assisted content.


Ecommerce sites can expand broad collections into smaller search-driven collection pages with strong ranking and revenue potential.

SEO Specialist, and these are the four things that I implement instantly on any ecommerce website I'm working on. The first is tiered and search driven collection pages. These are so underutilised by ecommerce sites and the ranking and revenue potential is huge. This is basically taking all of your existing product collection pages and looking for ways you can make niche smaller versions of them...

Map broad collections into niche sub-collections based on product types, attributes, and real search demand.


Related blog feeds on product pages and related product feeds on blog posts can increase product exposure and build internal links.

Add related blog modules to product or collection pages and related product modules to relevant blog posts.


Top-performing pages can be used to link to underperforming priority pages so search authority flows across the site.

Review top-performing pages and add relevant links to priority pages that need more internal authority.


The passage argues high-intent keywords may be preferable when AI Overviews satisfy informational searches.

This is why you shouldn't let ChatGPT run your SEO. How to do SEO for LLMs? This is something that a lot of people are searching for right now. Key tactics: right answer first content. So if you're targeting informational keywords, you should know that AI overviews reduce clicks by 58%. A lot of the time AI will cite you, but people won't even care. They just want to get their answer and move on...

Prioritize high-intent pages where AI answers may reduce informational clicks.


The passage says one Ahrefs study found schema additions barely moved AI citations.

Treat schema-for-AI-citations as unproven; use schema where it has a clear product or SERP purpose.


The passage says semantic similarity was the top factor in an Ahrefs study of AI prompts.

Compare content language with the exact wording of target AI prompts and queries.


The passage says an Ahrefs study did not find original data to be the top AI citation factor.

Verify the cited study before changing methodology around original data and benchmarks.


The creator says Google Analytics is adding an AI assistant traffic medium for recognized referrers such as ChatGPT, Gemini, and Claude.

Every modern day marketer needs to care about this. Google is finally giving you a dedicated way to measure AI traffic in Google Analytics. New AI Assistant traffic measurement medium. A new AI assistant value is automatically assigned when the referrer matches a recognized AI assistant. ChatGPT, Gemini, Claude. This update was just announced. It's about to be pushed live to Google Analytics...

Verify availability in GA4 documentation, then add AI assistant referral monitoring to analytics setup when present.


The cited Ahrefs study found no significant AI citation lift after adding structured data to about 2,000 pages.

If you've been following GEO advice on how to rank an AI search, you definitely heard about the importance of structured data or schema markup. I think it's safe to say this is the most commonly repeated piece of advice for ranking an AI. If you want AI to notice you, you need to have structured data or schema markup on your pages...

Treat schema as useful for clarity or eligibility where appropriate, not as a proven AI citation ranking lever.


Pages with structured data may be cited more often because they are better maintained, not because schema causes AI citations.

Require causal evidence before accepting GEO ranking-factor claims based only on correlations from cited pages.


Guest podcast appearances can provide distribution, social proof, Google-ranking assets, AI citations, and backlinks even before a person has a large following.

Just a reminder that podcasts are still a blue ocean. Back before I had any social following, before anybody had heard of me, I used this to go on 30 podcasts in three months. You can get on podcasts as a guest even if nobody has heard of you. Fill out your profile very thoroughly. This site uses AI to match hosts who want guests with relevant guests...

Add podcast guesting as an authority/reputation-building channel to test for suitable experts.


The source says Google stopped supporting FAQ rich results on May 7, 2026, so FAQ schema should not be the basis of an SEO strategy.

Google have officially ditched FAQ rich results. If you don't know what I'm talking about, rich results are the expandable answer boxes that used to show up in Google search results, and adding FAQ schema to your content was the main way to get them. Basically, they were an easy way to improve your click through rate and visibility on Google...

Keep FAQs when they help users or add page context, but stop creating FAQ-heavy content mainly to chase rich results.


FAQ-heavy content built to chase rich results is vulnerable because the source describes it as easy for AI answers to replace.

Shift effort toward pages with commercial intent, useful context, and value that AI answers cannot simply take over.


AI recommendations are shaped by brands recommended in cited pages, so visibility work targets pages AI already trusts or cites.

I want to talk about one of the methods we use for ranking in AI search because it's largely replacing what link building did for traditional SEO. Broadly speaking, ranking in AI search is pretty simple. Someone goes to Google's AI mode or ChatGPT and enters a prompt or a query. The AI then does a series of searches...

Map top cited articles for each prompt cluster and identify owned or earned opportunities to be honestly recommended there.


Outreach offering payment or reciprocal mentions for inclusion in cited articles can be manipulative, disclose-sensitive, and potentially against platform/editorial guidelines.

you identify the top 100 to 1,000 articles being cited, you need a way to filter the ones that make sense to reach out to. We've created a cloud skill that figures out which ones are direct competitors or brands that are much too big to reach out to you directly, and organize the remaining articles by priority. You then need to identify contact information for each publisher...

risk/avoid: Do not treat paid/reciprocal placements as a default recommendation; if considered, require legal/editorial disclosure review.


The creator proposes filtering cited articles to exclude direct competitors and unreachable large brands, then prioritizing attainable publishers for outreach.

For review only: if doing earned outreach, prioritize attainable cited sources and document why each source is legitimate.


Competitive AI adoption may require much higher output per employee because token/model costs can rise alongside capability expectations.

Wasn't AI supposed to get cheaper over time? Why is it getting more expensive? The way things are going, it looks like AI usage is just going to cost more and more for the foreseeable future. So why would we keep spending more tokens if they're getting more expensive? And what did we get wrong here? Well, the truth is, if you control for capabilities, AI is getting cheaper...

For AI implementation planning, model output requirements and token spend against payroll/revenue, not just tool cost savings.


The source says schema should not be sold as a generic AI-citation booster without evidence, citing an Ahrefs test where citations barely moved.

One of the most common ways SEO agencies will rip off clients is with unnecessary schema implementation. Schema is code that makes you get special features in Google like this. With no schema. With schema, you get a lot more clicks when you get the special feature in Google. But Google has actually deprecated a lot of schema over the years, and agencies just ignore this...

Prioritize schema that creates visible SERP features, and require evidence before selling schema as an AI-citation tactic.


Google has had a rank-transition/randomization patent intended to reveal manipulative SEO reactions; short-term ranking declines may not always mean a tactic failed.

Google is the biggest prankster of all time. No, I'm not talking about Google's April Fool's Day pranks. Google literally has a patent where, if you're doing too well in SEO, they will make you think you're doing poorly. It literally says Google's initial response to what the spammer is doing could cause the page's rank to be negatively influenced rather than positively influenced...

In SEO testing, avoid panic changes during unexplained volatility; use waiting periods and compliance checks.


If SEO work is manipulative or against rules, reacting to rank volatility can expose the manipulation pattern.

Keep manipulative SEO as a risk/avoidance item, not an implementation tactic.


Ecommerce collection pages can target buying-intent searches, improve navigation, and show the product range in more detail.

I wish more ecommerce business owners knew about this because it is the easiest way to generate more revenue from Google, ChatGPT, and all the other AI search engines. And the thing that is gonna work for you, you've already got on your site, and it's one of the easiest things to double down. These pages work in millions of different ways...

Turn broad product collections into useful sub-collections based on buyer intent and product attributes.


The passage recommends using transcripts or detailed descriptions instead of very short social video descriptions.

Next time you're scrolling through your FYP, take a look at how short the video descriptions are. You'll likely see things like this, 1 to 2 sentences or less. Some of the best ranking sites in SEO right now are social media, YouTube, Facebook, Instagram, TikTok, LinkedIn, X. Don't do this. Instead, take your video transcript, use it as your description...

Add transcript-based descriptions to short-form video publishing workflows.


The passage contrasts random FYP viewers with searchers who are actively looking for the creator's topic.

Write social descriptions for search intent, not only feed discovery.


AI-facing FAQ pages should answer business-specific fit, objection, process, and working-together questions rather than generic industry questions.

If you want AI to recommend your business, I'm gonna talk about one page you definitely wanna have on your website. This is one of the most common pages AI will look for when they're trying to get more information about your business. And when you build it right, you can strongly influence how AI talks about and recommends your business. I'm talking about an FAQ page...

Build FAQ pages as AI sales-rep training assets with answers about fit, objections, process, and how to work with the business.


Generic SEO FAQ pages are weak because search engines usually prefer dedicated pages with the question in the title.

Use dedicated pages for search-intent questions, and reserve FAQ pages for business-specific AI and buyer due diligence.


The passage says Google Analytics Ask Analytics advisor can answer traffic questions for ChatGPT and Claude.

Nobody talks about this, but Google's new update has made AI reporting disgustingly easy. Go to Google Analytics. Click their new Ask Analytics advisor. It's in beta. Say, "How much traffic did I get this month from ChatGPT?" It's going to look through your data and do it for you and tell you right away. Say, "How much traffic did I get this month from Claude?" It'll tell you too...

Test Ask Analytics for AI referrals, then validate outputs against source and referrer data.


The passage says Google's AI Mode was testing Community Insights mostly from Reddit, increasing the need for Reddit strategy.

Another win for Reddit. Over the last couple of days, Google has been testing this Community Insight section in AI mode. It's mostly just showing content from Reddit. Reddit has been ripping in SEO since early 2024. SEO and AI visibility. It gets 2.3 billion clicks a month from Google. It's one of the most clicked websites in Google total...

Monitor brand-relevant Reddit discussions and respond transparently before issues escalate.


Anonymous accounts, planted reviews, and keyword-targeted fake recommendations are described as darker Reddit tactics that surface in Google but carry brand and platform risk.

risk/avoid: Do not use anonymous astroturfing, planted reviews, or fake recommendations; use transparent brand-representative responses.


Keyword research should filter broad ideas by search volume, ranking difficulty, and search intent so the offer matches what people want.

Most businesses are targeting the wrong keywords, and it's why their SEO isn't working. They either target keywords that no one searches or keywords that everyone searches, so they're super competitive. I'm gonna show you the exact process that I use to do keyword research for clients, and it's also the process that I teach inside the SEO Clinic...

Add search intent, minimum search volume, and difficulty checks to keyword selection before creating SEO pages.


The passage says ChatGPT network responses can reveal search queries that can guide relevance-focused content.

If you want to get cited in ChatGPT, like these sources, you want to get into here. This is what you have to do. These are the top ranking factors for getting cited in AI. The most important is that you have content that is relevant to the searches that ChatGPT is doing. Pretty much the top spots just say what I just told you. See what ChatGPT is searching...

Use compliant manual prompt research to compare AI search-query language with content briefs.


The passage recommends putting a short answer or summary near the top because users and LLMs prefer it.

Add concise top-of-page summaries to suitable articles and product pages.


Citing outbound sources is claimed to improve rankings and AI citation potential, supported in the transcript by a small SEO test.

Add credible source citations to research-backed content; validate impact before treating as a ranking factor.


The transcript claims freshness, `llms.txt`, and structured data are less important for AI citations than relevance, answer clarity, and source citations.

Prioritize relevance, answer clarity, and evidence over low-confidence technical GEO add-ons.


The passage says Google Maps is showing removed-review counts tied to defamation complaints, adding transparency for local reviews.

It is insane that Google Maps did this. Businesses in Europe often challenge low star ratings by claiming reviewers never visited, prompting Google to delete them preemptively. Users complain it pumps up averages to 4+ stars, hiding true duds. This is how bad it got. My girlfriend is banned from reviewing places in Europe on Google Maps after she gave one restaurant in Portugal a one star review...

Check whether removed-review counts appear in local reputation audits where relevant.


Anthropic and OpenAI are moving beyond model access toward engineer-led deployments that automate real company work.

AI is about to disrupt a lot more industries. I wanna talk about two big news stories that dropped in the last 48 hours and what this means for businesses. Anyone who's seriously using AI to do work knows that it's already capable of handling most work that can be done on a computer. However, actually deploying it into a real company is incredibly difficult right now...

Document internal workflows and AI integration gaps now, because vendor-led deployment patterns may raise the automation baseline.


AI visibility should be tracked with representative prompt samples across ChatGPT, Google AI Mode, and AI Overviews rather than only common keyword rank tracking.

Ranking an AI search is so easy right now, and I think the main reason is that no one's tracking it. When I talk with businesses that are doing SEO, or even other SEO agencies, they often talk to me about manually going to Google's AI mode or ChatGPT and asking about their industry to see if their brand is mentioned...

Build a prompt bank with demographic/use-case context and track brand/competitor visibility repeatedly over time.


AI citation data matters because cited page content influences whether a brand or competitor is recommended in the final answer.

y good idea of what people are searching for before they hire a company like them. The goal should be to gather a representative sample of prompts people might type into AI. And in most of those prompts, you should include a demographic or a use case. Something like, I'm an X looking for y to solve Z. Can you recommend a company?...

Track cited URLs per prompt cluster and look for gaps where the brand can earn inclusion or publish a better cited page.


YouTube citations in AI mode are reportedly spiking; republishing short-form content to YouTube Shorts can create another AI-citable surface.

This insane spike is YouTube citations in AI mode. If you haven't been taking your Instagram reels, your TikToks, your Facebook reels, and syndicating them to YouTube Shorts, this is your wake-up call. The best thing to do is to upload it manually, but if you don't have time to do that, you can go to reusevideo com and then toggle on TikTok or Instagram reels to YouTube Shorts. Toggle it on...

Syndicate relevant short-form videos to YouTube Shorts with search-aware titles and descriptions.


YouTube uploads should use audience-language titles and rich, detailed descriptions derived from transcripts.

Add transcript-based title/description generation to video publishing workflow.


AI Overviews can reduce traffic from basic informational searches, while bottom-funnel pages are less exposed because they sell products or services.

Unless you've been paying like no attention to your website whatsoever, you've probably noticed over the last year or so that your traffic from Google has dropped. It's not Google penalizing your site. It's not your competitors tanking SEO. It's Google. A search engine's goal is to help the user find the information they need...

Measure SEO by revenue and make sure landing, sales, and product pages are covered instead of relying only on blog traffic.


Lazy scaled templated SEO content can trigger spam/scaled-content-abuse problems and may create poor engagement signals by ranking for mismatched intents.

If you hated that the internet was becoming cluttered with SEO garbage content, you'll be happy about this. This is a message from Google to this Redditor: major spam problems. Pages on the site appear to use aggressive spam techniques such as scaled content abuse. That's exactly what happened. The Redditor says, I lean too much on scaled templated content. Cleaned it up, now focusing on quality...

risk/avoid: Do not publish scaled templated pages unless each page is useful, unique, and matches the searcher's intent.


Good CRO/SEO advice is to match intent and give searchers what they want quickly in a low-clutter format.

Add intent satisfaction and clutter checks to content QA.


GA4's native AI question interface can answer traffic-source and landing-page questions from analytics data without manual report setup.

Everybody hates Google Analytics 4, but this makes it one of the most useful analytics tools for anybody to use. Google Analytics native AI ask, where do most of my users come from? It goes through all of your data. Make sense of it. You don't have to do anything. It tells you everything you need to know. Top traffic sources, top countries, trends and context. You can follow up with questions...

Test GA4 Ask Analytics for basic acquisition and landing-page diagnostics; validate outputs against standard GA4 reports before relying on them.


AI-native process design starts by asking what context, data, tools, and human judgment AI would need to handle computer-based work.

go through. What would it look like if every part of your business that can be done on a computer was handled entirely by AI? What if no human in your organization was allowed to touch a computer? What context would the AI need to do every job in your organization? What data would they need access to? That should help you figure out how you need to structure your company knowledge base...

Map each computer-based workflow to required context, data access, tool integrations, and human judgment checkpoints.


Nuanced business judgment should be captured as decision frameworks and example libraries rather than treated as impossible to automate.

Document expert reasoning criteria and collect examples of strategic work before attempting AI-assisted automation.


AI-native systems may let humans focus on differentiating high-value roles, such as relationship/account management, rather than routine execution.

omes your differentiator. If you think your differentiator is going to be that you're really good at incorporating AI into your processes, remember, five years from now, all your competitors are going to be really good at integrating AI into their processes. Otherwise, they will have gone out of business. But there will still be plenty of areas where we still need a human or just prefer a human...

For AI implementation review, define where human value should remain explicit after automation rather than replacing all human roles by default.


Inspecting ChatGPT network responses may reveal the exact web search queries ChatGPT generated for a prompt, which can differ from the user's prompt.

Has the Empire State Building made any changes to its observation deck or ticketing setup? People don't know this, but when you do prompts, ChatGPT searches the web and you can literally see what it searched with. Often times what it searches with is different from the prompt that you put in...

Use only compliant manual research to compare user prompts with AI-generated search queries; treat findings as experimental evidence.


Language that ChatGPT searches with can inform page titles, URL slugs, H2s, opening sentences, and above-the-fold copy for brand-related pages.

Review AI-generated query language across multiple prompts and consider aligning important page elements with recurring retrieval terms.


Business and industry data are durable AI assets because future models will still need them to produce valuable work.

I think by now we all know that AI is about to change everything really quickly, but we still don't know exactly what that'll look like. Right now, everyone is scrambling to keep up or even to get ahead, as if that were possible. What we're seeing right now is most of this effort ends up being completely wasted...

Prioritize clean business and industry documentation over brittle AI workflows that may be replaced by platform updates.


Businesses should transcribe and organize calls now so those transcripts can become useful AI context later.

Add call recording, transcription, and searchable storage to the knowledge-base intake process before deeper processing is available.


Recording Loom-style walkthroughs with think-aloud narration can be converted into SOPs; repeated recordings of complex tasks create examples for future AI automation.

GPT and have it turn it into a detailed SOP. And I recommend doing this for every task, even those that are so complex that you're confident you could never hand it over to an AI, or could never even turn into an SOP. For complicated tasks like that, I recommend recording yourself every time you go through the task...

For nuanced SEO/GEO strategy tasks, record expert walkthroughs and store transcripts as training/reference examples, not just final SOPs.


Customer, team, email, Slack, and social-video guidance should be preserved because it can become valuable AI context.

Inventory advice and guidance artifacts with source metadata, privacy classification, and retrieval paths for future AI use.


Press releases ranking in Google can be cited by AI Overviews and chat systems, enabling manipulation of claims such as “best selling” if the press release ranks.

AI companies don't tell you is they are manipulated non stop and it is extremely easy to do so. Matt Diamante puts out this press release best selling SEO book. Puts it here, puts it here, puts it here. When you search best selling SEO book, you get an AI overview giving his book as a best selling SEO book. The source that it is citing is this press release...

risk/avoid: Do not use press releases or self-serving claims to manipulate AI citations; treat press-release citation susceptibility as a monitoring/risk issue.


AI systems may cite press releases or other low-editorial-independence sources when those sources rank well, creating a citation-quality weakness.

Add source independence/editorial-quality checks when auditing AI citations; flag AI answers relying on self-published PR as weak evidence.


Meta titles are described as a high-priority page signal because search engines see them before reading the page content.

Most of you are ignoring this and it's the reason why your website isn't ranking on Google or AI Search. I've easily audited hundreds of websites, probably more at this point, and this is one of the most common issues that comes up. This is the number one thing to optimise on your website before you do anything else. In fact, you don't even have to do anything else...

Audit important pages for blank, default, or vague meta titles and add clear titles that include the page's target keywords.


For strategy or content work, a model that infers intent and handles exceptions can be preferable to one that follows rules too literally.

rowsing or finding things on the internet, although that's one of the few areas where both Gemini and ChatGPT are still ahead. In my experience, 4.6 just has better judgment or intuition. 4.7 is known to take everything literally. If you give it instructions, it will follow it to the tea. And at first I thought this would end up being a good thing...

Evaluate models on judgment and intent-following for strategy work, not only on benchmark intelligence or literal instruction compliance.


The creator argues GEO/AI optimization should be treated as the evolution of SEO rather than a separate discipline, because search itself is becoming AI-mediated.

When people hear that I do SEO, they often ask, what about GEO? Do you also do GEO? Or people will come to me and they'll say, I already have someone to do my SEO. I'm looking for someone to do GEO or AI optimization. And I always say, sure, I do what you're referring to as GEO, but I just call it SEO. And my guess is within a year, we'll all just be calling it SEO. But that's not because nothing has changed...

Keep GEO as review terminology if needed, but evaluate AI search work as part of modern SEO strategy rather than a disconnected add-on.


AI search often breaks a user's prompt into several specific, less competitive searches rather than one broad keyword query.

it very clear. And so if we're moving into a world where all search is AI search, then that's what SEO is. SEO is all the things you do to get recommended in AI search. We don't need a separate term for that. If you're doing SEO and you aren't focused on AI search, I would say you aren't doing SEO, at least not for much longer. You're doing traditional SEO or legacy SEO...

Build query research around clusters of specific retrieval prompts, not only traditional head keywords.


In AI search, being surfaced is less important than whether the retrieved passage recommends the brand as a solution.

websites in the top 20 results of each of those searches. For that reason, ranking in AI search is actually really easy. As long as you have an ounce of authority and you have content that's somewhat relevant for one of those dozen searches, you can easily be one of the hundreds of pages that surfaced. But ranking's not what matters in AI search. It's getting recommended...

Track whether cited passages recommend the brand, not only whether pages rank or appear in retrieved results.


AI systems may retrieve a passage rather than the full page, so the relevant passage must be trustworthy, relevant, and explicitly connect the brand to the user's need.

Optimize important passages for standalone clarity, evidence, fit, and brand-solution linkage.


Blog infinite-scroll or high-post-count pagination is claimed to increase engagement, time with the brand, and top-of-mind awareness.

Just a reminder that all the smartest marketing minds in the world agree that infinite scroll is the most addicting. And you can do the same thing on your blog with just a few clicks. Here's mine. It's seemingly infinite. A lot of CMS's have similar functionality. All I had to do was click this, then set posts per page to 100. It's not technically infinite, but it feels like it's infinite...

Treat as CRO/UX experiment only; test engagement, crawlability, page performance, and user control before adopting.


Infinite scroll is compared to addictive social feeds and a slot machine, which raises user-wellbeing and UX control concerns.

risk/avoid: Do not deploy manipulative infinite-scroll patterns without clear navigation, accessibility, performance, and user-control review.


Yelp is claimed to be heavily cited for local service-business recommendation queries in AI search, sometimes more than Google Business Profiles.

If you're a local service business, you hate Yelp. That's what I've learned doing SEO for about 100 local service businesses. Yelp is the worst. A lot of businesses have written them off entirely. However, as all search becomes AI search, that's getting harder to do...

For local service clients, include Yelp and other directory citation surfaces in AI visibility audits, while validating citation frequency by industry.


AI systems may cite directory listicle pages such as “Best General Contractors in Dallas” rather than individual business listings.

Audit whether target businesses appear near the top of AI-cited directory listicles, not only whether they have a directory profile.


Directory rankings/listicles may depend heavily on review recency/velocity after basic profile completion, category selection, and images are handled.

Track review velocity and profile completeness on AI-cited directories as part of local visibility review.


Paying Yelp may increase chances of appearing near the top of listicles/sponsored results, but the creator frames Yelp as controversial and does not state it is always advisable.

views you get, you will always be underneath the sponsored results. So if you want to show up at the top, you have to run ads on Yelp. Now, this won't put you at the top consistently unless you're spending a lot of money, but it will increase the chance that you show up at the top...

risk/avoid: Do not recommend paid Yelp ads by default; evaluate economics, disclosure/sponsored placement, and client risk tolerance case by case.


The creator says ChatGPT is currently strongest for agentic browsing, deep research, and compiling information across the internet.

We're all using AI for work now, and if you're like me, you maintain a subscription to ChatGPT, Gemini, and Claude. And that's because each model is the best at different things. Well, we recently got a new Claude and a new ChatGPT model, and so I've been doing some more testing to figure out which one is best at each task that we do on a regular basis, and I just want to share what I found so far...

For research-heavy workflows, benchmark ChatGPT against Claude and Gemini on source quality, completeness, cost, and task fit.


Model choice should vary by task: Claude for writing and instructions, ChatGPT for web research, and Gemini for simple recommendations.

Route AI work by task type instead of defaulting every SEO or operations workflow to one model.