Cleared Improve retweeted
Almost 73% of the websites cited across ChatGPT, Claude, Gemini and Perplexity appeared in just ONE of them.
Only 2.2% were cited by all four.
So if you are checking ChatGPT to see whether your company is “showing up in AI search,” you may be looking at a very incomplete picture.
A new study gives us a useful look at just how differently the major AI platforms research and cite the web.
Let’s go through it.
And if you want to see where your business stands across ChatGPT, Claude, Google AI, Perplexity, Grok and broader AI search, start here. It’s free:
seo-stuff.com/free-audit
Prefer ran the same 80 questions through ChatGPT, Perplexity, Gemini and Claude.
Each question was tested three times on each platform, and that produced 960 AI answers and 1,329 different cited websites.
The results were pretty interesting.
966 of those websites appeared in only one AI engine.
205 appeared in two.
129 appeared in three.
Just 29 appeared across all four.
Basically, there really was no universal “AI search result.”
Different systems can research the exact same topic and pull information from very different parts of the web.
SEO Stuff's Done-for-you setup was created with this in mind:
seo-stuff.com/gold-plan-pack…
The number of sources they cited was dramatically different too.
Perplexity averaged 19.48 sources per answer.
Gemini averaged 8.64.
Claude averaged 4.58.
ChatGPT averaged just 3.05.
Across the 240 answers generated by each platform, Perplexity cited 748 different websites, Gemini 580, Claude 333 and ChatGPT 218.
That is why asking “How do I rank in AI?” is not as informative as it sounds.
The questions that make a bit more sense (and will help you more long-term) are:
How often do I appear in ChatGPT?
What does Claude know about my company?
Which sources does Perplexity trust in my category?
What is Gemini surfacing for the questions my buyers ask?
There was another important finding, by the way.
The researchers asked the same questions three times within seconds of each other, yet the cited websites still changed.
Average overlap between repeat runs was:
96% for Perplexity.
68% for Claude.
37% for ChatGPT.
35% for Gemini.
Same question.
That matters enormously for measurement because if you ask ChatGPT one question once and do not see your company, that does not necessarily mean you never appear.
And if you do see your company once, that does not mean you reliably own that answer either.
You need repeated measurements across multiple prompts and multiple platforms, otherwise you can end up building an entire AI strategy around a screenshot.
So what about sources?
Well, Reddit appeared in 207 of the 960 answers, making it the most frequently cited site in the study.
Claude cited Reddit zero times.
Gemini cited YouTube in 113 answers.
ChatGPT, Claude and Perplexity cited YouTube zero times in this dataset.
Perplexity cited LinkedIn in 73 answers.
Claude cited it twice.
ChatGPT and Gemini did not cite it at all.
Again, the study focused on 80 questions about AI search, GEO and AEO. Healthcare, finance, ecommerce or local-service prompts could produce a very different source mix, but the larger point is difficult to ignore.
Different AI systems have different retrieval behavior, different source ecosystems and different levels of citation consistency.
That said, the biggest authoritative sources traveled much better across platforms.
Among the 25 most-cited sites, 23 appeared across three or four engines.
Five of the top 10 appeared across all four.
So the fragmentation was much heavier in the long tail, and that may actually be the most useful takeaway for businesses.
You want enough content breadth to appear across many relevant questions, but you also want enough authority that multiple systems repeatedly trust your website and the third-party sources validating your company.
That is where traditional SEO and AI Search Optimization start overlapping again.
Build useful content around the questions buyers actually ask.
Make your company, products and category easy to understand.
Earn credible third-party mentions and contextual backlinks.
Create comparisons, alternatives, use cases and decision-stage content.
That is exactly why SEO Stuff approaches AI visibility across multiple platforms rather than treating it as a ChatGPT-only exercise:
seo-stuff.com/
A company can perform well in ChatGPT and poorly in Claude.
If your company only measures one AI platform, you may be missing most of the picture.
And if you want to see where your business stands across Google, ChatGPT, Claude and the major AI search platforms, start here:
seo-stuff.com/free-audit
If you want ChatGPT to recommend your business when someone asks who they should buy from, there is a pretty straightforward opportunity hiding in plain sight.
New data across 289,105 cited URLs across ChatGPT, Google AI Mode, AI Overviews and Perplexity offers a unique window into what matters most.
Let’s go through it.
And if you want to see whether ChatGPT, Claude, Google AI, Perplexity, Grok and broader AI search are already recommending your business, start here (it's free):
seo-stuff.com/free-audit
Surfer analyzed nearly 1000 prompts across 12 industries, generating 26,573 AI calls and 289,105 cited URLs over seven days.
Then they asked a fairly simple question:
When an AI system recommends several brands, is there a relationship between how prominently each brand appears and how many of the cited sources mention that brand?
Spoiler alert: there was.
Brands mentioned across a larger share of the sources being used by the AI tended to appear higher in the response.
Obviously that does NOT mean Surfer proved that brand mentions cause higher AI rankings, but the relationship is strong enough that businesses working on AI visibility should probably pay attention.
Think about how this can work.
Someone asks:
“What are the best accounting platforms for a small nonprofit?”
The AI retrieves information from several sources.
Maybe multiple articles mention Company A, compare it with competitors and describe its use cases.
Company B appears once.
Company A now has a much larger body of information surrounding it across the source set.
Your website matters, but the wider web matters too, and the results became even more interesting when Surfer broke them down by platform.
ChatGPT showed the strongest relationship between brand presence across cited sources and recommendation position among the systems tested.
It also cited substantially more sources in this dataset: 84.7% more than Google AI Mode and 129.7% more than Google AI Overviews.
So if ChatGPT is working from a larger source pool, there are potentially more places where your brand can either appear or be absent.
This is why treating AI Search Optimization as something that happens entirely on your own website does not make much sense.
Your website is one source and the system may be looking at many others.
And if your competitors repeatedly appear across those sources while your business does not, they are giving the AI a much broader information footprint to work with.
That is exactly why SEO Stuff combines content with authority:
seo-stuff.com/gold-plan-pack…
The content side helps your own website explain who you are, what you do, who you serve, which problems you solve, how you compare and what buyers should know.
The authority side creates additional third-party references around the company.
There is an important distinction here though, as this study measured BRAND MENTIONS, not backlinks.
A backlink can still matter for traditional SEO, but Surfer measured whether the cited page actually mentioned the brand.
That means a good editorial placement can potentially do two different jobs.
It can provide a legitimate backlink that supports traditional search authority, while also putting your brand, category and context onto a third-party page an AI system may encounter.
The research found something particularly interesting about blogs too.
Brand-owned blogs represented 16.2% of cited sources and third-party blogs another 12.5%, meaning blogs accounted for 28.7% of the cited source set.
But brand mentions appearing in blog content showed the strongest correlation with recommendation position of any content type Surfer analyzed.
That matters because blogs are one of the areas businesses can actually influence.
You can publish useful content, create original research, contribute expert commentary, earn editorial coverage and get included in relevant industry articles.
But one of the most valuable things you can do is identify the pages AI systems already cite for the commercial questions your customers ask.
Do not just think:
“I need more backlinks.”
Think:
“What does ChatGPT cite when someone asks who the best company in my category is?”
“What sources does Google AI Mode use?”
“Which comparison pages keep showing up?”
“Which of those pages mention my competitors but not me?”
That creates a much more useful target list than simply sorting websites by Domain Rating.
If you're starting from scratch today, here's how I'd play it:
Start with the commercial questions that matter, then look at the sources AI systems actually use when answering them.
Which brands keep appearing? Which websites keep getting cited? Where are competitors mentioned? Where are you missing?
Then work on both sides.
Build your own content so AI systems have accurate, useful first-party information about your company, and build a credible third-party footprint so your website is not the only place on the internet associating your brand with the category.
That is increasingly what AI Search Optimization looks like.
Useful content, commercial topic coverage, clear brand information, relevant third-party mentions and contextual authority across the web.
And if you want to see where your business currently stands across ChatGPT, Claude, Google AI, Perplexity, Grok and broader AI search, start here:
seo-stuff.com/free-audit
Cleared Improve retweeted
If you want ChatGPT to recommend your business when someone asks who they should buy from, there is a pretty straightforward opportunity hiding in plain sight.
New data across 289,105 cited URLs across ChatGPT, Google AI Mode, AI Overviews and Perplexity offers a unique window into what matters most.
Let’s go through it.
And if you want to see whether ChatGPT, Claude, Google AI, Perplexity, Grok and broader AI search are already recommending your business, start here (it's free):
seo-stuff.com/free-audit
Surfer analyzed nearly 1000 prompts across 12 industries, generating 26,573 AI calls and 289,105 cited URLs over seven days.
Then they asked a fairly simple question:
When an AI system recommends several brands, is there a relationship between how prominently each brand appears and how many of the cited sources mention that brand?
Spoiler alert: there was.
Brands mentioned across a larger share of the sources being used by the AI tended to appear higher in the response.
Obviously that does NOT mean Surfer proved that brand mentions cause higher AI rankings, but the relationship is strong enough that businesses working on AI visibility should probably pay attention.
Think about how this can work.
Someone asks:
“What are the best accounting platforms for a small nonprofit?”
The AI retrieves information from several sources.
Maybe multiple articles mention Company A, compare it with competitors and describe its use cases.
Company B appears once.
Company A now has a much larger body of information surrounding it across the source set.
Your website matters, but the wider web matters too, and the results became even more interesting when Surfer broke them down by platform.
ChatGPT showed the strongest relationship between brand presence across cited sources and recommendation position among the systems tested.
It also cited substantially more sources in this dataset: 84.7% more than Google AI Mode and 129.7% more than Google AI Overviews.
So if ChatGPT is working from a larger source pool, there are potentially more places where your brand can either appear or be absent.
This is why treating AI Search Optimization as something that happens entirely on your own website does not make much sense.
Your website is one source and the system may be looking at many others.
And if your competitors repeatedly appear across those sources while your business does not, they are giving the AI a much broader information footprint to work with.
That is exactly why SEO Stuff combines content with authority:
seo-stuff.com/gold-plan-pack…
The content side helps your own website explain who you are, what you do, who you serve, which problems you solve, how you compare and what buyers should know.
The authority side creates additional third-party references around the company.
There is an important distinction here though, as this study measured BRAND MENTIONS, not backlinks.
A backlink can still matter for traditional SEO, but Surfer measured whether the cited page actually mentioned the brand.
That means a good editorial placement can potentially do two different jobs.
It can provide a legitimate backlink that supports traditional search authority, while also putting your brand, category and context onto a third-party page an AI system may encounter.
The research found something particularly interesting about blogs too.
Brand-owned blogs represented 16.2% of cited sources and third-party blogs another 12.5%, meaning blogs accounted for 28.7% of the cited source set.
But brand mentions appearing in blog content showed the strongest correlation with recommendation position of any content type Surfer analyzed.
That matters because blogs are one of the areas businesses can actually influence.
You can publish useful content, create original research, contribute expert commentary, earn editorial coverage and get included in relevant industry articles.
But one of the most valuable things you can do is identify the pages AI systems already cite for the commercial questions your customers ask.
Do not just think:
“I need more backlinks.”
Think:
“What does ChatGPT cite when someone asks who the best company in my category is?”
“What sources does Google AI Mode use?”
“Which comparison pages keep showing up?”
“Which of those pages mention my competitors but not me?”
That creates a much more useful target list than simply sorting websites by Domain Rating.
If you're starting from scratch today, here's how I'd play it:
Start with the commercial questions that matter, then look at the sources AI systems actually use when answering them.
Which brands keep appearing? Which websites keep getting cited? Where are competitors mentioned? Where are you missing?
Then work on both sides.
Build your own content so AI systems have accurate, useful first-party information about your company, and build a credible third-party footprint so your website is not the only place on the internet associating your brand with the category.
That is increasingly what AI Search Optimization looks like.
Useful content, commercial topic coverage, clear brand information, relevant third-party mentions and contextual authority across the web.
And if you want to see where your business currently stands across ChatGPT, Claude, Google AI, Perplexity, Grok and broader AI search, start here:
seo-stuff.com/free-audit
Google is now literally telling businesses specifically how to get traffic from AI Search.
Yes, directly within Google Search Console.
It's probably one of the most important marketing updates of 2026.
Let’s go through it.
By the way, you can see whether your business is appearing across Google AI, ChatGPT, Claude, Perplexity and Grok here (it's free):
seo-stuff.com/free-audit
Recently Google launched a new Generative AI performance report inside Search Console.
At first, it looked like a very limited rollout, but now more and more site owners are seeing it.
John Mueller also confirmed that Google is rolling it out incrementally and reviewing feedback along the way.
So if you do not see it yet, give it a few days, but the direction is pretty clear.
AI Search visibility is becoming something businesses can actually measure, and this report shows how often URLs from your site appear in Google’s generative AI features.
Yes, that includes AI Overviews and AI Mode.
It can also show which pages appeared, which countries the impressions came from, which devices people were using and how performance changed over time.
That matters a lot, because until now, a lot of AI Search tracking has been messy.
It has featured a lot of screenshots, manual prompt testing, third party tools, guessing from referral traffic, watching ChatGPT, Perplexity, Claude, Grok and Google manually to see whether your brand appears, etc.
Now Google is giving site owners a direct view into whether their pages are appearing inside Google’s own AI features.
There is one big limitation, though: this is impression data as opposed to clicks data.
Google is showing whether your site appeared inside generative AI features, but it is not yet showing how many people clicked from those AI features to your site.
This is where SEO Stuff (seo-stuff.com/gold-plan-pack…) can help.
A business can be visible in AI Search and still see fewer clicks than it used to get from traditional search.
At the same time, a business can also be completely missing from AI Search and not realize competitors are being shown instead.
If your AI impressions are high but clicks are weak, the issue may be the way Google is satisfying the search before the user visits your site.
If your AI impressions are low, the issue may be that Google does not understand, trust or retrieve your pages for the questions customers are asking.
If only your informational pages appear, but your product, service, pricing, comparison and case study pages do not, that tells you something.
If one country shows AI visibility and another does not, that tells you something.
If a few pages get most of the AI impressions, that tells you something.
This is why the report is such a big deal, and it gives businesses a starting point so you can finally ask better questions.
Which pages are showing up in AI Overviews?
Which pages are showing up in AI Mode?
Which countries are seeing the brand?
Which devices are seeing the brand?
Which parts of the buying journey are missing?
Which content is actually being used by Google’s AI systems?
That last question is the one most businesses should care about, and it is the one SEO Stuff solves for brands on a daily basis:
seo-stuff.com/premium-conten…
A customer can ask a long, complicated question and Google can break that question into several related searches behind the scenes.
That means the same business may need useful content around problems, use cases, comparisons, pricing, alternatives, industries, objections, case studies, product details and implementation.
One generic service page probably will not cover all of that.
A brand with useful content across the full buying journey has more chances to be discovered.
Google’s new report will make that easier to see.
And this also lines up with what Google just said in its “Good SEO is good GEO” piece. (See my post from yesterday if you missed it.)
Google said its generative AI features are rooted in the same core ranking and quality systems as traditional Search.
AI Mode and AI Overviews retrieve up-to-date content from Google’s existing search index.
So the businesses that want AI visibility still need the same boring foundation: crawlable content, useful pages, clear product information, real expertise, entity clarity, authority, third party validation, etc.
That is where SEO Stuff (seo-stuff.com) comes in.
The done-for-you package combines 10 AI-search-optimized articles with three DR50+ authority placements:
seo-stuff.com/gold-plan-pack…
The content helps your business cover the questions customers ask before buying, including problems, use cases, comparisons, pricing, alternatives, industries, objections, case studies, product details and implementation.
The authority placements help your business show up across trusted sources that search and AI systems use to understand categories.
Google is starting to show businesses whether they are appearing in AI Search.
Once something becomes a report, it becomes something clients, founders, CMOs and competitors start paying attention to.
If you want to see whether your business is already being cited, understood and recommended across Google AI, ChatGPT, Claude, Perplexity and Grok, check here:
seo-stuff.com/free-audit
Cleared Improve retweeted
Google is now literally telling businesses specifically how to get traffic from AI Search.
Yes, directly within Google Search Console.
It's probably one of the most important marketing updates of 2026.
Let’s go through it.
By the way, you can see whether your business is appearing across Google AI, ChatGPT, Claude, Perplexity and Grok here (it's free):
seo-stuff.com/free-audit
Recently Google launched a new Generative AI performance report inside Search Console.
At first, it looked like a very limited rollout, but now more and more site owners are seeing it.
John Mueller also confirmed that Google is rolling it out incrementally and reviewing feedback along the way.
So if you do not see it yet, give it a few days, but the direction is pretty clear.
AI Search visibility is becoming something businesses can actually measure, and this report shows how often URLs from your site appear in Google’s generative AI features.
Yes, that includes AI Overviews and AI Mode.
It can also show which pages appeared, which countries the impressions came from, which devices people were using and how performance changed over time.
That matters a lot, because until now, a lot of AI Search tracking has been messy.
It has featured a lot of screenshots, manual prompt testing, third party tools, guessing from referral traffic, watching ChatGPT, Perplexity, Claude, Grok and Google manually to see whether your brand appears, etc.
Now Google is giving site owners a direct view into whether their pages are appearing inside Google’s own AI features.
There is one big limitation, though: this is impression data as opposed to clicks data.
Google is showing whether your site appeared inside generative AI features, but it is not yet showing how many people clicked from those AI features to your site.
This is where SEO Stuff (seo-stuff.com/gold-plan-pack…) can help.
A business can be visible in AI Search and still see fewer clicks than it used to get from traditional search.
At the same time, a business can also be completely missing from AI Search and not realize competitors are being shown instead.
If your AI impressions are high but clicks are weak, the issue may be the way Google is satisfying the search before the user visits your site.
If your AI impressions are low, the issue may be that Google does not understand, trust or retrieve your pages for the questions customers are asking.
If only your informational pages appear, but your product, service, pricing, comparison and case study pages do not, that tells you something.
If one country shows AI visibility and another does not, that tells you something.
If a few pages get most of the AI impressions, that tells you something.
This is why the report is such a big deal, and it gives businesses a starting point so you can finally ask better questions.
Which pages are showing up in AI Overviews?
Which pages are showing up in AI Mode?
Which countries are seeing the brand?
Which devices are seeing the brand?
Which parts of the buying journey are missing?
Which content is actually being used by Google’s AI systems?
That last question is the one most businesses should care about, and it is the one SEO Stuff solves for brands on a daily basis:
seo-stuff.com/premium-conten…
A customer can ask a long, complicated question and Google can break that question into several related searches behind the scenes.
That means the same business may need useful content around problems, use cases, comparisons, pricing, alternatives, industries, objections, case studies, product details and implementation.
One generic service page probably will not cover all of that.
A brand with useful content across the full buying journey has more chances to be discovered.
Google’s new report will make that easier to see.
And this also lines up with what Google just said in its “Good SEO is good GEO” piece. (See my post from yesterday if you missed it.)
Google said its generative AI features are rooted in the same core ranking and quality systems as traditional Search.
AI Mode and AI Overviews retrieve up-to-date content from Google’s existing search index.
So the businesses that want AI visibility still need the same boring foundation: crawlable content, useful pages, clear product information, real expertise, entity clarity, authority, third party validation, etc.
That is where SEO Stuff (seo-stuff.com) comes in.
The done-for-you package combines 10 AI-search-optimized articles with three DR50+ authority placements:
seo-stuff.com/gold-plan-pack…
The content helps your business cover the questions customers ask before buying, including problems, use cases, comparisons, pricing, alternatives, industries, objections, case studies, product details and implementation.
The authority placements help your business show up across trusted sources that search and AI systems use to understand categories.
Google is starting to show businesses whether they are appearing in AI Search.
Once something becomes a report, it becomes something clients, founders, CMOs and competitors start paying attention to.
If you want to see whether your business is already being cited, understood and recommended across Google AI, ChatGPT, Claude, Perplexity and Grok, check here:
seo-stuff.com/free-audit
I'm not trying to insult anyone here but...
SaaS buyers operate differently now.
They *actually* search your reviews.
They *actually* compare alternatives.
They ask ChatGPT, Gemini and Perplexity questions before they ever book a demo.
By the way, if you want to see where your site stands across ChatGPT, Claude, Google and broader AI search, start here:
seo-stuff.com/free-audit
Mind you - Google still cares heavily about authority, relevance and useful content. But AI systems also need clear product information, credible third-party validation and enough context to understand exactly who your software is for.
That overlap is what SEO Stuff was built around:
seo-stuff.com/ai-seo
So what should brands do? Well, first, lock down your positioning.
Broadly speaking, generic SaaS does not get recommended very well.
“AI-powered platform” means almost nothing.
“Customer support software for B2B teams handling more than 10,000 tickets per month” tells people and AI systems exactly what the product does and who it serves.
Your homepage should clearly explain who the product is for, what problem it solves, which category it belongs to, what makes it different and what outcome it creates.
If somebody cannot explain your product in one sentence after visiting the site, the positioning probably needs work.
Next, build authority outside your own website.
Most SaaS teams focus almost entirely on their blog, but buyers and AI systems can also encounter your company through industry publications, newsletters, podcasts, buyer guides, reviews, comparison pages, customer stories and original research.
Those third-party references help reinforce what your company does and whether other credible sources recognize it.
Then make your own content easy to understand and reuse.
Multiple studies now suggest that clear, front-loaded answers and structured sections can improve AI citation visibility.
Use question-based headings, direct answers near the top, TLDR sections, clear feature-to-benefit explanations, use-case pages, industry pages, comparison content and alternatives pages.
For example:
“How to choose a customer support platform for B2B SaaS.”
“Intercom alternatives for growing teams.”
“Best onboarding tools for product-led growth.”
These are the kinds of questions real buyers ask before purchasing software.
Next, turn customer quotes, case studies, usage milestones and measurable improvements into dedicated case study pages, articles with real numbers, videos with transcripts, documentation and public changelogs.
Give search and AI systems something specific to work with.
Then target the way buyers actually ask questions.
Instead of focusing only on broad keywords, build around searches like “what software helps reduce churn,” “best tools for onboarding new users,” “[Product Name] reviews” and “[Product Name] vs [Competitor].”
Prioritize commercial intent, natural-language phrasing and questions tied to an actual buying decision.
And answer the question early.
Do not make somebody read 800 words before finding out whether the page is relevant.
Your technical foundation matters too.
Keep the site fast, maintain clean URLs, avoid unnecessary duplicate pages, build logical internal links between features, use cases, comparisons and documentation, and make sure the crawlers you want accessing the site are not accidentally blocked.
Think of your website as the product knowledge base that search engines, AI systems and customers all use to understand your company.
Branded search matters as well.
If Reddit, review sites and competitors are the only pages answering questions about your company, you have very little control over the narrative.
Create useful pages around “[Product Name] reviews,” “[Product Name] vs [Competitor],” “[Product Name] alternatives,” pricing, implementation, integrations and the other questions buyers ask before committing.
Then make sure the traffic actually converts.
Use clear CTAs, simple trial or demo flows, strong customer proof near conversion points, good onboarding and retargeting for visitors who showed real purchase intent.
Traffic without activation does not accomplish much.
Finally, track what creates pipeline, including branded search growth, demo and trial starts, AI citations and mentions, commercial page rankings, off-site brand mentions and revenue from organic and AI referral traffic.
Most SaaS companies still rely heavily on paid acquisition, have vague positioning, publish generic content and lack meaningful third-party authority.
That leaves a pretty big opening.
Build clear product positioning, answer the questions buyers actually ask, create strong proof, earn credible third-party authority and make the site easy for both humans and AI systems to understand.
Do that consistently and you give your SaaS far more opportunities to appear wherever buyers are researching software now.
Or just let SEO Stuff do it for you:
seo-stuff.com/gold-plan-pack…
And if you want to see where your brand stands across ChatGPT, Google and broacher AI search, check here (it's free):
seo-stuff.com/free-audit
Cleared Improve retweeted
Just something I've noticed...
Local businesses are still some of the slowest to adapt. In some cases, it is costing them $25,000+ per month in potential revenue.
If you're ignoring the traffic and sales you could be getting from Google and ChatGPT right now, you are going to be playing catch-up in 2027.
Let’s walk through exactly how to fix it without hiring expensive outside help.
And if you want to know how your site is showing up in ChatGPT, Claude, Google AI, Grok and broader AI search, check here (it's free):
seo-stuff.com/free-audit
Alright, biggest problem first.
Google and AI search both rely heavily on authority, relevance and trust - albeit in slightly different ways.
SEO Stuff (seo-stuff.com) helps businesses build all three.
For a local business, that means having a fully optimized Google Business Profile, strong reviews, locally relevant backlinks and press mentions, consistent business information across the web and a fast, crawlable website that clearly explains what you do and where you operate.
A few proven authority plays include partnering with complementary local businesses, joining your Chamber of Commerce, getting accredited by the Better Business Bureau, pitching local cost data or seasonal advice to news outlets, sponsoring community events and earning inclusion in “Best of [City]” guides.
These placements help reinforce that your company is a real, trusted entity in a specific location.
Next, your Google Business Profile needs to be treated like a major acquisition channel - because it is.
Complete every relevant field, add high-quality photos regularly, publish updates, answer common questions, respond to reviews and keep your name, address and phone number consistent everywhere.
SEO Stuff includes a free guide on how to do this as part of every done-for-you package:
seo-stuff.com/gold-plan-pack…
For local businesses, your GBP, website, reviews and directory presence all work together to help Google and AI systems understand where you operate, what services you provide and whether customers trust you.
Next, build strong service and location pages.
To be clear, I'm not saying create a thin page that swaps Los Angeles for Pasadena in the H1 and calls it local SEO.
Each important service and market should have a genuinely useful page with local context, real job or staff photos, an embedded map where appropriate, FAQs based on actual customer questions, internal links to relevant services and a fast mobile experience.
Think of each page as the best answer to a customer asking:
“Who should I hire for [service] in [city]?”
SEO Stuff's Premium Content Bundle solves for this:
seo-stuff.com/premium-conten…
Reviews matter for the same reason.
They give potential customers and AI systems third-party evidence about what you do and how well you do it.
Request reviews immediately after service through SMS or email, feature strong reviews on your website, respond to them consistently and encourage customers to naturally describe the service they received and their location.
A review saying “Great company” is useful because any review is better than no review. That said, a review saying “They replaced our HVAC system in Pasadena and finished the installation in one day” contains far more useful context.
Technical SEO still matters, too. Your site should load quickly, work well on mobile, use clean URLs and internal links, have working XML sitemaps, avoid broken links and unnecessary redirects and remain accessible to the crawlers you want discovering the business.
Then build content around the questions local customers actually ask.
Useful topics include complete guides to a service in your city, cost breakdowns, seasonal advice, local problem-and-solution content, neighborhood or service-area information and explanations of how a particular service works locally.
For example, a roofing company would probably get more value from “How Much Does a New Roof Cost in Phoenix?” than another generic article called “5 Benefits of a New Roof.”
You also need to strengthen branded search.
Customer stories, local press coverage, reviews, community sponsorships, retargeting and consistent brand mentions all give people more reasons to search your company by name.
That matters because a customer who sees your business recommended in ChatGPT will often verify you somewhere else before calling.
They may search Google, open your GBP, read your reviews, visit your website and compare you with another local company.
Everything needs to tell the same story.
Finally, track what actually creates business, including branded search growth, GBP calls and direction requests, Google and AI visibility, review growth, service-page conversion rates, off-site mentions and leads coming from organic and AI referral traffic.
Traffic means very little if it does not turn into calls, appointments and revenue.
Most local businesses still have an incomplete GBP, weak reviews, generic service pages, poor local authority and almost no content built around the questions customers actually ask.
That is a huge opportunity for the businesses willing to fix it now.
Customers are already using Google, ChatGPT, Gemini, Perplexity and other AI tools to decide who to call.
You need to make sure your business is one of the options they find.
And if you want to see how your business is currently showing up across Google AI, ChatGPT, Claude, Perplexity and Grok, check here. It’s free:
seo-stuff.com/free-audit
Reddit sued Perplexity and a group of major scraping providers, including SerpApi.
In the process, they revealed how Perplexity, ChatGPT, Claude and Google actually work.
Including how businesses can get traffic from AI search to their websites.
Now that the secret is out, let’s talk about it.
By the way, if you want to see whether your business is appearing across Google AI, ChatGPT, Claude, Perplexity and Grok, check here (it's free):
seo-stuff.com/free-audit
Reddit’s lawsuit claims that Perplexity and its partners have been scraping Google’s search results to capture Reddit content indirectly, bypassing robots.txt restrictions.
One part of the complaint really stuck out.
Reddit reportedly created a test post that only Google could crawl.
Within hours, Perplexity showed the content of that post.
According to Reddit, the only way Perplexity could have retrieved that content was by scraping Google’s SERPs or by getting the data from a partner that scraped it.
This essentially confirms that Perplexity and similar AI search engines are not crawling the full internet on their own.
Instead, they are relying heavily on obviously training data, but also Google's top results, often times Bing's top results, authority domains, recency signals and optimized data.
This has been a guiding principle by which SEO Stuff (seo-stuff.com/ai-seo) has been operating.
This also lines up cleanly with what Perplexity’s head of comms recently explained publicly.
Many AI search systems still rely on page-level discovery signals before passing those results into an LLM, which then synthesizes answers using sub-document or snippet-level context.
(If you want to see where your site stands across Google, ChatGPT, Claude and broader AI search, start here:
seo-stuff.com/free-audit)
AI engines don’t start from “the web" so much as they start from a filtered, ranked, authority-weighted version of the web.
When you break it down, here is what appears to be happening under the hood:
Perplexity monitors and ingests Google’s top results as a discovery feed.
And this is why visibility in Google translates directly into visibility in AI search.
This also explains why brands that “rank fine” but lack authority or structure often never show up in AI answers.
They’re visible to humans, but not that useful to machines.
Perplexity has actually offered an interesting window into AI search dating back to last August when their “ranking factors” leaked courtesy of Metehan Yesilyurt.
Retrieved content is broken into chunks and converted into vector embeddings.
Then at search time, the system compares your content’s vectors against the user’s query to find semantically relevant matches.
Clean structure, clear subheadings, short answer blocks and semantic clarity win out.
This is exactly what snippet-first systems optimize for: reusable fragments.
Authority domains also receive a ranking boost, and legitimate, strong backlinks still matter.
Recent studies on AI Overviews and Common Crawl back this up, showing authority builds on itself inside AI systems because high-authority domains are crawled more often, retrieved more often and cited more often.
Also, a strict recency filter is applied.
Perplexity uses a time decay system.
New content and recently updated content are weighted more heavily.
Everything we have learned lines up perfectly with the system SEO Stuff (seo-stuff.com) has been building around long before this lawsuit surfaced.
Not because anyone was exploiting a one-off loophole, but because SEO Stuff was building for how AI systems actually retrieve, chunk and cite information.
The done-for-you package:
seo-stuff.com/gold-plan-pack…
You get 10 AI search optimized articles plus three DR50+ backlinks per cycle.
The content is formatted with:
High semantic density
Clear HTML markup
TLDR summaries
Question-based H2s
Short answer blocks for extraction
Backlinks come from domains already appearing in AI results and already receiving real search traffic.
This builds both discovery authority (Google) and citation defensibility (AI).
The content package:
seo-stuff.com/premium-conten…
You get 60 targeted, high-similarity articles created and refreshed on rolling cycles to stay inside the visibility window that Perplexity, Gemini and AI Overviews rely on.
This content is designed to show up in both Google’s index and Perplexity’s derivative index.
Scale matters because AI confidence is built through repetition, not one perfect page.
The authority package:
seo-stuff.com/premium-backli…
You get three DR50+ contextual backlinks from domains that are already being cited by AI answer engines.
This reinforces authority and entity alignment so your site is more likely to be selected by ChatGPT and Perplexity.
And if you want to see whether your business is appearing across Google AI, ChatGPT, Claude, Perplexity and Grok, check here (it's free):
seo-stuff.com/free-audit
Cleared Improve retweeted
One of the most annoying things about AI is having to explain the context all over again.
A lot of the time, that context is already sitting in an email thread.
The request, the backstory, the attachments and the entire conversation are literally already there.
Viktor can now join an internal thread by email, so instead of rebuilding all of that in a new chat, you can give him the work there.
I think this is probably where a lot of workplace AI is heading: fitting into the way people already work instead of making them create a separate AI workflow.
You can test it by emailing [email protected]. @viktor_com
🤝 Paid partnership
Starting today, anyone with an email address can have their own AI employee. Free to start.
@viktor_com started in Slack. Now Viktor has an email address, so billions of people can reach it.
Just email [email protected] to get started.
Put Viktor on cc to book a meeting. Or forward any kind of work.
Cleared Improve retweeted
What if your devices, apps and agents knew what you wanted?
You finish breakfast, and your Uber is booked.
Running late, your agent sends a “Running late” text.
You reach home, and your lights turn on.
AI is proactive now. But it still needs your yes. It waits, for you to unlock your phone, open an app and tap approve. Every time, hundreds of times a day.
AI needs its own interface.
Aina is a ring with a screen that predicts and shows you the three things you’ll need next. One flick of your thumb, and it’s done. For everything.
✦ Cues: proactive suggestions, ready before you need them
✦ Voice: talk to your agents, take notes, dictate
✦ Remote: control your music, Mac and TV
✦ Calls: right from your hand
Pre-orders open now
aina.com
Cleared Improve retweeted
I'm not trying to insult anyone here but...
SaaS buyers operate differently now.
They *actually* search your reviews.
They *actually* compare alternatives.
They ask ChatGPT, Gemini and Perplexity questions before they ever book a demo.
By the way, if you want to see where your site stands across ChatGPT, Claude, Google and broader AI search, start here:
seo-stuff.com/free-audit
Mind you - Google still cares heavily about authority, relevance and useful content. But AI systems also need clear product information, credible third-party validation and enough context to understand exactly who your software is for.
That overlap is what SEO Stuff was built around:
seo-stuff.com/ai-seo
So what should brands do? Well, first, lock down your positioning.
Broadly speaking, generic SaaS does not get recommended very well.
“AI-powered platform” means almost nothing.
“Customer support software for B2B teams handling more than 10,000 tickets per month” tells people and AI systems exactly what the product does and who it serves.
Your homepage should clearly explain who the product is for, what problem it solves, which category it belongs to, what makes it different and what outcome it creates.
If somebody cannot explain your product in one sentence after visiting the site, the positioning probably needs work.
Next, build authority outside your own website.
Most SaaS teams focus almost entirely on their blog, but buyers and AI systems can also encounter your company through industry publications, newsletters, podcasts, buyer guides, reviews, comparison pages, customer stories and original research.
Those third-party references help reinforce what your company does and whether other credible sources recognize it.
Then make your own content easy to understand and reuse.
Multiple studies now suggest that clear, front-loaded answers and structured sections can improve AI citation visibility.
Use question-based headings, direct answers near the top, TLDR sections, clear feature-to-benefit explanations, use-case pages, industry pages, comparison content and alternatives pages.
For example:
“How to choose a customer support platform for B2B SaaS.”
“Intercom alternatives for growing teams.”
“Best onboarding tools for product-led growth.”
These are the kinds of questions real buyers ask before purchasing software.
Next, turn customer quotes, case studies, usage milestones and measurable improvements into dedicated case study pages, articles with real numbers, videos with transcripts, documentation and public changelogs.
Give search and AI systems something specific to work with.
Then target the way buyers actually ask questions.
Instead of focusing only on broad keywords, build around searches like “what software helps reduce churn,” “best tools for onboarding new users,” “[Product Name] reviews” and “[Product Name] vs [Competitor].”
Prioritize commercial intent, natural-language phrasing and questions tied to an actual buying decision.
And answer the question early.
Do not make somebody read 800 words before finding out whether the page is relevant.
Your technical foundation matters too.
Keep the site fast, maintain clean URLs, avoid unnecessary duplicate pages, build logical internal links between features, use cases, comparisons and documentation, and make sure the crawlers you want accessing the site are not accidentally blocked.
Think of your website as the product knowledge base that search engines, AI systems and customers all use to understand your company.
Branded search matters as well.
If Reddit, review sites and competitors are the only pages answering questions about your company, you have very little control over the narrative.
Create useful pages around “[Product Name] reviews,” “[Product Name] vs [Competitor],” “[Product Name] alternatives,” pricing, implementation, integrations and the other questions buyers ask before committing.
Then make sure the traffic actually converts.
Use clear CTAs, simple trial or demo flows, strong customer proof near conversion points, good onboarding and retargeting for visitors who showed real purchase intent.
Traffic without activation does not accomplish much.
Finally, track what creates pipeline, including branded search growth, demo and trial starts, AI citations and mentions, commercial page rankings, off-site brand mentions and revenue from organic and AI referral traffic.
Most SaaS companies still rely heavily on paid acquisition, have vague positioning, publish generic content and lack meaningful third-party authority.
That leaves a pretty big opening.
Build clear product positioning, answer the questions buyers actually ask, create strong proof, earn credible third-party authority and make the site easy for both humans and AI systems to understand.
Do that consistently and you give your SaaS far more opportunities to appear wherever buyers are researching software now.
Or just let SEO Stuff do it for you:
seo-stuff.com/gold-plan-pack…
And if you want to see where your brand stands across ChatGPT, Google and broacher AI search, check here (it's free):
seo-stuff.com/free-audit
Reddit sued Perplexity and a group of major scraping providers, including SerpApi.
In the process, they revealed how Perplexity, ChatGPT, Claude and Google actually work.
Including how businesses can get traffic from AI search to their websites.
Now that the secret is out, let’s talk about it.
By the way, if you want to see whether your business is appearing across Google AI, ChatGPT, Claude, Perplexity and Grok, check here (it's free):
seo-stuff.com/free-audit
Reddit’s lawsuit claims that Perplexity and its partners have been scraping Google’s search results to capture Reddit content indirectly, bypassing robots.txt restrictions.
One part of the complaint really stuck out.
Reddit reportedly created a test post that only Google could crawl.
Within hours, Perplexity showed the content of that post.
According to Reddit, the only way Perplexity could have retrieved that content was by scraping Google’s SERPs or by getting the data from a partner that scraped it.
This essentially confirms that Perplexity and similar AI search engines are not crawling the full internet on their own.
Instead, they are relying heavily on obviously training data, but also Google's top results, often times Bing's top results, authority domains, recency signals and optimized data.
This has been a guiding principle by which SEO Stuff (seo-stuff.com/ai-seo) has been operating.
This also lines up cleanly with what Perplexity’s head of comms recently explained publicly.
Many AI search systems still rely on page-level discovery signals before passing those results into an LLM, which then synthesizes answers using sub-document or snippet-level context.
(If you want to see where your site stands across Google, ChatGPT, Claude and broader AI search, start here:
seo-stuff.com/free-audit)
AI engines don’t start from “the web" so much as they start from a filtered, ranked, authority-weighted version of the web.
When you break it down, here is what appears to be happening under the hood:
Perplexity monitors and ingests Google’s top results as a discovery feed.
And this is why visibility in Google translates directly into visibility in AI search.
This also explains why brands that “rank fine” but lack authority or structure often never show up in AI answers.
They’re visible to humans, but not that useful to machines.
Perplexity has actually offered an interesting window into AI search dating back to last August when their “ranking factors” leaked courtesy of Metehan Yesilyurt.
Retrieved content is broken into chunks and converted into vector embeddings.
Then at search time, the system compares your content’s vectors against the user’s query to find semantically relevant matches.
Clean structure, clear subheadings, short answer blocks and semantic clarity win out.
This is exactly what snippet-first systems optimize for: reusable fragments.
Authority domains also receive a ranking boost, and legitimate, strong backlinks still matter.
Recent studies on AI Overviews and Common Crawl back this up, showing authority builds on itself inside AI systems because high-authority domains are crawled more often, retrieved more often and cited more often.
Also, a strict recency filter is applied.
Perplexity uses a time decay system.
New content and recently updated content are weighted more heavily.
Everything we have learned lines up perfectly with the system SEO Stuff (seo-stuff.com) has been building around long before this lawsuit surfaced.
Not because anyone was exploiting a one-off loophole, but because SEO Stuff was building for how AI systems actually retrieve, chunk and cite information.
The done-for-you package:
seo-stuff.com/gold-plan-pack…
You get 10 AI search optimized articles plus three DR50+ backlinks per cycle.
The content is formatted with:
High semantic density
Clear HTML markup
TLDR summaries
Question-based H2s
Short answer blocks for extraction
Backlinks come from domains already appearing in AI results and already receiving real search traffic.
This builds both discovery authority (Google) and citation defensibility (AI).
The content package:
seo-stuff.com/premium-conten…
You get 60 targeted, high-similarity articles created and refreshed on rolling cycles to stay inside the visibility window that Perplexity, Gemini and AI Overviews rely on.
This content is designed to show up in both Google’s index and Perplexity’s derivative index.
Scale matters because AI confidence is built through repetition, not one perfect page.
The authority package:
seo-stuff.com/premium-backli…
You get three DR50+ contextual backlinks from domains that are already being cited by AI answer engines.
This reinforces authority and entity alignment so your site is more likely to be selected by ChatGPT and Perplexity.
And if you want to see whether your business is appearing across Google AI, ChatGPT, Claude, Perplexity and Grok, check here (it's free):
seo-stuff.com/free-audit
Cleared Improve retweeted
4 degrees in 6 years
Cleared Improve retweeted
> be Carina Hong
> grow up in Guangzhou, China
> teach yourself English as a kid to read math textbooks
> major in physics & math at MIT
> finish both degrees in 3 years
> win the Morgan Prize (top award for undergrad research)
> dropout in year 1 of Stanford JD/PhD
> raise $264M+ from Menlo Ventures & others for @axiommathai
> formalize CFSG, the Enormous Theorem, in Lean
> then formalize the entire Stacks Project in Lean
---
another launch in the books for launchvideo.com (3.5M views in 4 hours)
Cleared Improve retweeted
Stacks is the working foundation for an entire field.
Unlike a single-theorem repo, this mathematical city consists of thousands of definitions, lemmas, and theorems spanning algebra, geometry, topology, and number theory.
We witnessed an agent swarm theory-build in real time.
Cleared Improve retweeted
From the Bourbaki movement to de Jong, legends constructed the cathedral of algebraic geometry piece by piece, in a formal logic way.
They created it for future generations.
Our swarm built this library as a verified and reusable resource, for an era of human-AI collaboration.
Cleared Improve retweeted
The Stacks project captures the crown jewel of modern mathematics.
Like sending Voyager's golden record to outer civilization, we want AI agents to discover, utilize, contribute, and grow this masterpiece.
This completion is only a starting point: visit stacks.axiommath.ai
Cleared Improve retweeted
Most think vibecoding at scale is slop. Here’s a counterexample.
Today we release a 16M-line formalization of the entire Stacks Project, critical infra underlying modern math, with optimized code quality and its highly interconnected structure preserved.
A mathematical city 🌆
Cleared Improve retweeted
Reddit sued Perplexity and a group of major scraping providers, including SerpApi.
In the process, they revealed how Perplexity, ChatGPT, Claude and Google actually work.
Including how businesses can get traffic from AI search to their websites.
Now that the secret is out, let’s talk about it.
By the way, if you want to see whether your business is appearing across Google AI, ChatGPT, Claude, Perplexity and Grok, check here (it's free):
seo-stuff.com/free-audit
Reddit’s lawsuit claims that Perplexity and its partners have been scraping Google’s search results to capture Reddit content indirectly, bypassing robots.txt restrictions.
One part of the complaint really stuck out.
Reddit reportedly created a test post that only Google could crawl.
Within hours, Perplexity showed the content of that post.
According to Reddit, the only way Perplexity could have retrieved that content was by scraping Google’s SERPs or by getting the data from a partner that scraped it.
This essentially confirms that Perplexity and similar AI search engines are not crawling the full internet on their own.
Instead, they are relying heavily on obviously training data, but also Google's top results, often times Bing's top results, authority domains, recency signals and optimized data.
This has been a guiding principle by which SEO Stuff (seo-stuff.com/ai-seo) has been operating.
This also lines up cleanly with what Perplexity’s head of comms recently explained publicly.
Many AI search systems still rely on page-level discovery signals before passing those results into an LLM, which then synthesizes answers using sub-document or snippet-level context.
(If you want to see where your site stands across Google, ChatGPT, Claude and broader AI search, start here:
seo-stuff.com/free-audit)
AI engines don’t start from “the web" so much as they start from a filtered, ranked, authority-weighted version of the web.
When you break it down, here is what appears to be happening under the hood:
Perplexity monitors and ingests Google’s top results as a discovery feed.
And this is why visibility in Google translates directly into visibility in AI search.
This also explains why brands that “rank fine” but lack authority or structure often never show up in AI answers.
They’re visible to humans, but not that useful to machines.
Perplexity has actually offered an interesting window into AI search dating back to last August when their “ranking factors” leaked courtesy of Metehan Yesilyurt.
Retrieved content is broken into chunks and converted into vector embeddings.
Then at search time, the system compares your content’s vectors against the user’s query to find semantically relevant matches.
Clean structure, clear subheadings, short answer blocks and semantic clarity win out.
This is exactly what snippet-first systems optimize for: reusable fragments.
Authority domains also receive a ranking boost, and legitimate, strong backlinks still matter.
Recent studies on AI Overviews and Common Crawl back this up, showing authority builds on itself inside AI systems because high-authority domains are crawled more often, retrieved more often and cited more often.
Also, a strict recency filter is applied.
Perplexity uses a time decay system.
New content and recently updated content are weighted more heavily.
Everything we have learned lines up perfectly with the system SEO Stuff (seo-stuff.com) has been building around long before this lawsuit surfaced.
Not because anyone was exploiting a one-off loophole, but because SEO Stuff was building for how AI systems actually retrieve, chunk and cite information.
The done-for-you package:
seo-stuff.com/gold-plan-pack…
You get 10 AI search optimized articles plus three DR50+ backlinks per cycle.
The content is formatted with:
High semantic density
Clear HTML markup
TLDR summaries
Question-based H2s
Short answer blocks for extraction
Backlinks come from domains already appearing in AI results and already receiving real search traffic.
This builds both discovery authority (Google) and citation defensibility (AI).
The content package:
seo-stuff.com/premium-conten…
You get 60 targeted, high-similarity articles created and refreshed on rolling cycles to stay inside the visibility window that Perplexity, Gemini and AI Overviews rely on.
This content is designed to show up in both Google’s index and Perplexity’s derivative index.
Scale matters because AI confidence is built through repetition, not one perfect page.
The authority package:
seo-stuff.com/premium-backli…
You get three DR50+ contextual backlinks from domains that are already being cited by AI answer engines.
This reinforces authority and entity alignment so your site is more likely to be selected by ChatGPT and Perplexity.
And if you want to see whether your business is appearing across Google AI, ChatGPT, Claude, Perplexity and Grok, check here (it's free):
seo-stuff.com/free-audit
An analysis of 129,000 websites, 216,524 pages and 100,000 prompts determined the #1 secret to getting traffic from ChatGPT.
It busts a lot of myths and lines up closely with what we’ve learned about how AI search systems retrieve, evaluate and reuse information.
It also aligns with what SEO Stuff has been building over the past year:
seo-stuff.com/ai-seo
Let’s break it down.
Headline first: backlinks mattered more than anything else.
The SE Ranking study found that sites with 32,000+ referring domains were 3.5x more likely to be cited by ChatGPT.
Sites with very high domain trust also earned nearly 4x more citations than low-trust domains.
If you want to see where your site stands across ChatGPT, Claude, Google and broader AI search, start here. It’s free:
seo-stuff.com/free-audit
ChatGPT may ignore some old-school SEO tricks, but authority clearly matters.
High-authority domains are more likely to rank, get discovered, enter AI retrieval and ultimately get cited.
That is why SEO Stuff's flagship package includes three contextually relevant DR50+ backlinks:
seo-stuff.com/gold-plan-pack…
Homepage traffic was another major signal.
Sites with 7,900+ homepage visitors had twice the citation likelihood, while domains with 190,000+ monthly visitors earned nearly twice as many citations as smaller sites.
That reinforces something important.
AI search does not exist in isolation from traditional search visibility.
If your domain has almost no presence across the wider search ecosystem, it has fewer opportunities to enter AI retrieval in the first place.
This is why SEO Stuff content is built for Google and LLMs at the same time.
Presence on Quora and Reddit mattered too.
Domains with a lot of Quora and Reddit mentions had four times higher citation likelihood.
Even smaller brands saw measurable lifts from participating in relevant discussions and being referenced organically.
Those mentions can reinforce what the company does, which category it belongs to and whether real people are talking about it.
Content depth also mattered.
Articles under 800 words averaged 3.2 citations, while articles over 2,900 words averaged 5.1, but simply adding words is not enough.
The stronger content included multiple angles, examples, expert quotes, verifiable data and broader topic coverage.
That is the thinking behind the Premium Content Bundle:
seo-stuff.com/premium-conten…
It includes 60 long-form articles designed to build deeper coverage around the questions customers and AI systems are researching.
Structure made a major difference too.
Well-structured pages earned 70% more citations.
The strongest pages used clean headings, relatively concise sections, logical progression, question-based H2s and clear answers.
Walls of text and vague brand storytelling give LLMs much less they can reliably extract.
Freshness mattered as well.
Pages updated within the previous three months nearly doubled their citations, with older pages averaging 3.6 citations compared with 6.0 for recently updated content.
Newer does not automatically mean better, but keeping important pages current clearly matters.
Question-based titles and FAQs also helped, particularly for smaller sites, when combined with depth, authority and good structure.
LLMs.txt, on the other hand, did almost nothing.
Its impact was negligible.
Authority, structure and useful content mattered far more.
Review platforms were another strong signal.
Brands appearing on Trustpilot, Capterra, G2, Sitejabber and Yelp earned three to six times more citations than brands with no presence.
That is another reminder that AI systems do not evaluate your company only through your own website.
Third-party reputation matters.
Core Web Vitals mattered too.
Fast pages were cited three times more often than slow pages.
You do not need perfect scores, but you do need to avoid a site that is painfully slow or difficult to use.
So what actually drives ChatGPT visibility?
The study points to backlinks, domain trust, homepage authority, Reddit and Quora presence, deep content, clear structure, recent updates, review platform visibility and fast performance.
In other words, many of the fundamentals that help you in Google also help you in AI search, with additional social, structural and entity signals layered on top.
This is exactly what SEO Stuff was built around:
seo-stuff.com
The Done-For-You Gold Plan combines 10 long-form, AI-search-optimized articles with three DR50+ contextual backlinks:
seo-stuff.com/gold-plan-pack…
The Premium Content Bundle adds 60 deep-dive articles designed to expand topical coverage and give search and AI systems more useful information to retrieve:
seo-stuff.com/premium-conten…
And the Premium Backlink Bundle adds three DR50+ authority placements designed to strengthen domain trust and broader brand authority:
seo-stuff.com/premium-backli…
Backlinks were the strongest factor in the entire study.
But the broader takeaway is that AI search visibility comes down to authority, clarity, depth, structure, trust and freshness.
And SEO Stuff was built to deliver exactly that.
And if you want to see where your site stands across ChatGPT, Claude, Google and broader AI search, start here. It’s free:
seo-stuff.com/free-audit
Cleared Improve retweeted
Bloom CEO Greg LaVecchia on why raising money could cost you the one thing you started a business for:
“So much of it is a psychological block. If you don’t even have a product yet, you’re in consumer packaged goods, and you’re trying to raise money, then I think you don’t believe in it that much.”
“A normal investor would take advantage of you and try to get a whole bunch of your company for a little bit of money.”
“And then if your company isn’t working out, you’re going to have some guy with a calculator who owns half of your company and probably tells you what to do, which defeats the whole point of becoming a founder in the first place. It was that freedom.”
“Money without freedom is just paper. If you can raise all the money in the world, but somebody still tells you what to do, then that money is just paper.”
PS. I post daily breakdowns on building brands and marketing, so if that’s you, follow @georgewriters for more.
Like and repost if you found value in this post:
Cleared Improve retweeted
Before 1970, the structure of your data lived inside the program that read it. Change the application and you rebuilt the data with it.
Edgar Codd’s paper split them apart. IBM sat on it for years because the thing it replaced was still making them money, so Larry Ellison read the paper and built Oracle instead.
The point was never speed. It was that programs became disposable and the data stopped caring which one you used.
AI memory is still fused to the model. Switch and you start over.
Living Brain pulls it out. Models come and go, your context doesn’t.
🤝 Paid partnership
Cleared Improve retweeted
An analysis of 129,000 websites, 216,524 pages and 100,000 prompts determined the #1 secret to getting traffic from ChatGPT.
It busts a lot of myths and lines up closely with what we’ve learned about how AI search systems retrieve, evaluate and reuse information.
It also aligns with what SEO Stuff has been building over the past year:
seo-stuff.com/ai-seo
Let’s break it down.
Headline first: backlinks mattered more than anything else.
The SE Ranking study found that sites with 32,000+ referring domains were 3.5x more likely to be cited by ChatGPT.
Sites with very high domain trust also earned nearly 4x more citations than low-trust domains.
If you want to see where your site stands across ChatGPT, Claude, Google and broader AI search, start here. It’s free:
seo-stuff.com/free-audit
ChatGPT may ignore some old-school SEO tricks, but authority clearly matters.
High-authority domains are more likely to rank, get discovered, enter AI retrieval and ultimately get cited.
That is why SEO Stuff's flagship package includes three contextually relevant DR50+ backlinks:
seo-stuff.com/gold-plan-pack…
Homepage traffic was another major signal.
Sites with 7,900+ homepage visitors had twice the citation likelihood, while domains with 190,000+ monthly visitors earned nearly twice as many citations as smaller sites.
That reinforces something important.
AI search does not exist in isolation from traditional search visibility.
If your domain has almost no presence across the wider search ecosystem, it has fewer opportunities to enter AI retrieval in the first place.
This is why SEO Stuff content is built for Google and LLMs at the same time.
Presence on Quora and Reddit mattered too.
Domains with a lot of Quora and Reddit mentions had four times higher citation likelihood.
Even smaller brands saw measurable lifts from participating in relevant discussions and being referenced organically.
Those mentions can reinforce what the company does, which category it belongs to and whether real people are talking about it.
Content depth also mattered.
Articles under 800 words averaged 3.2 citations, while articles over 2,900 words averaged 5.1, but simply adding words is not enough.
The stronger content included multiple angles, examples, expert quotes, verifiable data and broader topic coverage.
That is the thinking behind the Premium Content Bundle:
seo-stuff.com/premium-conten…
It includes 60 long-form articles designed to build deeper coverage around the questions customers and AI systems are researching.
Structure made a major difference too.
Well-structured pages earned 70% more citations.
The strongest pages used clean headings, relatively concise sections, logical progression, question-based H2s and clear answers.
Walls of text and vague brand storytelling give LLMs much less they can reliably extract.
Freshness mattered as well.
Pages updated within the previous three months nearly doubled their citations, with older pages averaging 3.6 citations compared with 6.0 for recently updated content.
Newer does not automatically mean better, but keeping important pages current clearly matters.
Question-based titles and FAQs also helped, particularly for smaller sites, when combined with depth, authority and good structure.
LLMs.txt, on the other hand, did almost nothing.
Its impact was negligible.
Authority, structure and useful content mattered far more.
Review platforms were another strong signal.
Brands appearing on Trustpilot, Capterra, G2, Sitejabber and Yelp earned three to six times more citations than brands with no presence.
That is another reminder that AI systems do not evaluate your company only through your own website.
Third-party reputation matters.
Core Web Vitals mattered too.
Fast pages were cited three times more often than slow pages.
You do not need perfect scores, but you do need to avoid a site that is painfully slow or difficult to use.
So what actually drives ChatGPT visibility?
The study points to backlinks, domain trust, homepage authority, Reddit and Quora presence, deep content, clear structure, recent updates, review platform visibility and fast performance.
In other words, many of the fundamentals that help you in Google also help you in AI search, with additional social, structural and entity signals layered on top.
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Backlinks were the strongest factor in the entire study.
But the broader takeaway is that AI search visibility comes down to authority, clarity, depth, structure, trust and freshness.
And SEO Stuff was built to deliver exactly that.
And if you want to see where your site stands across ChatGPT, Claude, Google and broader AI search, start here. It’s free:
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