You can have 4.5+ stars, 100+ Google reviews, and still be completely invisible in ChatGPT, Claude, etc.
A new study checked 6,682 local businesses across 25 U.S. markets.
85.6% were never named by ANY of the four AI assistants tested, and among businesses with 4.5+ stars AND more than 100 Google reviews, 1,611 were still never named.
Let's go through it.
By the way, if you want to see whether your business is appearing across Google AI, ChatGPT, Claude, Perplexity, Grok and broader AI search, start here. It's free:
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Alright, so Seeably analyzed dentists, personal injury lawyers, plumbers, roofers and med spas across New York, Los Angeles, Chicago, Houston and Phoenix.
Then it tested local recommendation questions across ChatGPT, Gemini, Claude and Perplexity.
Of 6,682 businesses, 5,721 were never named once, and every single market had at least 80% of its Google-listed businesses go unnamed.
More Google reviews were associated with a better chance of being named, but they were nowhere close to a guarantee.
Among businesses with more than 1,000 Google reviews, 47% were STILL never named.
Seeably even manually verified businesses with nearly 9,000 reviews, 6,600+ reviews and 3,500+ reviews that never appeared.
So if your local SEO strategy is "Get lots of Google reviews and we'll be fine," that is clearly not enough anymore.
Among businesses WITHOUT a website, 4.4% were named by at least one AI assistant.
Among businesses WITH a website, 17.5%.
So imagine two plumbers.
Both have 4.8 stars and 500 reviews.
One has a generic homepage and a contact form.
The other has detailed pages for water heater repair, drain cleaning, leak detection, emergency plumbing, pricing, service areas, FAQs and licensing.
Those businesses may look similar if you're only counting stars - but their information footprints are completely different.
Mind you, businesses' own websites represented just 20.5% of the cited-page mix.
Lists, articles and other third-party sites? 52.7%.
Directories and review platforms? 26.7%.
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Also, I've talked about this before, but the four AI assistants rarely agreed.
Across the 25 markets, they recommended 1,971 different businesses.
70.7% of those businesses were named by ONLY ONE of the four assistants.
Just 4% were named by all four.
So being visible in ChatGPT does not mean you're visible in Claude.
Showing up in Gemini does not mean Perplexity agrees.
You get the idea.
The recommendation concentration was interesting too.
In the typical market, the five businesses AI recommended most often captured 33% of all recommendations.
Just five companies.
And among businesses that DID get named, more than half appeared in only one answer.
There was also an interesting pattern in the ratings themselves.
Businesses rated 4.5 to 4.7 stars were named by at least one assistant 20.4% of the time.
Businesses rated 4.8 to 5.0? 18.4%.
All of which is to say...
Local businesses increasingly need BOTH traditional local SEO and AI Search visibility.
Build the website, reviews and authority.
Then track whether those systems are recommending you.
Because being one of the best-reviewed businesses in your city matters a lot less if the customer's AI assistant never tells them you exist.
And if you want to see whether your business is already appearing across Google AI, ChatGPT, Claude, Perplexity, Grok and broader AI search, start here.
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Your business can publish:
"The 10 Best [Your Category] Tools"
Put YOUR OWN PRODUCT at #1...
And AI systems may actually use that article as a source when recommending tools.
But only if you do it right.
(Which most brands do not.)
A new study analyzed 18,084 software questions across Google, AI Overviews, ChatGPT, Gemini, Claude and Perplexity.
For "alternatives to X" questions, between 34% and 47% of the listicles cited were published by software companies that included their OWN product.
Let's go through it.
By the way, if you want to see whether your business is appearing across Google AI, ChatGPT, Claude, Perplexity, Grok and broader AI search, start here. It's free:
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Alright, so Minuttia and Convex Works analyzed 18,084 software questions, 5,983 software brands and 196 categories.
The questions included alternatives, X vs Y and best-tools searches.
Across the study, they collected 686,749 citations from more than 311,000 pages.
Then they classified the pages AI systems were using.
A page counted as "self-promotional" when a software company published a listicle or comparison in a category where it sells AND included its own product.
So imagine a CRM company publishing:
"10 Best CRM Platforms" and including itself.
Among those self-promotional listicles 93% highlighted the company's own product and 87% placed its own product FIRST.
Only 16% clearly disclosed that the company itself wrote the list.
...and AI systems were still citing these pages.
This is something SEO Stuff (https://t.co/wKpf0EILTx) helps businesses with daily.
For "alternatives to X" questions, the share of listicle citations coming from self-promotional pages was:
Google Search: 47%.
Gemini: 47%.
Perplexity: 43%.
Google AI Overviews: 43%.
Claude: 36%.
ChatGPT: 34%.
Across software categories overall, Minuttia says 43% of the listicles cited by AI platforms were self-promotional.
So what is the key to doing this successfully?
There were a few common themes:
1. Be transparent.
2. Make the page genuinely useful.
3. Include competitors.
4. Explain where each option fits.
5. Explain where YOUR product fits.
6. Explain who should choose you.
7. And where somebody else may be the better fit.
8. Publish real pricing where possible.
9. Discuss strengths and limitations.
10. Show your methodology.
So you don't need to hide the commercial interest - just make the page useful despite it.
AI systems are willing to cite vendor-written listicles when those pages help answer the buyer's question.
All that being said, third-party coverage still matters enormously.
For "alternatives to X" questions, between 53% and 66% of cited listicles were still NOT self-promotional.
For "alternatives to X" questions, 42% of ChatGPT's citations went to software companies' own websites.
And Minuttia analyzed 52,293 ChatGPT web searches from those questions.
71% named exactly ONE product while another 26% named two or more.
ChatGPT appeared to start broad, identify candidates, investigate the products individually and then move from there.
What does that mean for brands? It means first you need to get into the shortlist, then you need to make sure your website actually holds up when the AI investigates you.
Minuttia also found that when ChatGPT used a site: search, 92% of those searches targeted a software vendor's own website.
So first-party information clearly mattered in this dataset.
That is exactly where the SEO Stuff Premium Content Bundle fits:
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Build the information buyers and AI systems need: best-of content, alternatives, comparisons, pricing, etc.
There is also an interesting authority lesson here.
Median domain rank in the study was -
Self-promotional listicles: 49.
Independent listicles: 63.
Review sites: 72.
So vendor-written listicles often came from weaker domains than the independent lists and review platforms.
That is why SEO Stuff's done-for-you package combines AI-search-focused content with contextual DR50+ authority placements:
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And if you want to see whether your business is already appearing across Google AI, ChatGPT, Claude, Perplexity, Grok and broader AI search, start here.
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There is a huge opportunity for businesses competing on buyer-intent searches right now.
Specifically because Google AI Overviews are showing up directly on the searches people make when they are deciding what to BUY.
A new study produced some fun AI Overviews numbers. They are now appearing on 96% of "best X for Y" searches and about 90% of review searches.
Also, they're showing up for more than 86% of brand-vs-brand searches and more than 82% of alternatives searches.
Alright, let's go through it.
By the way, if you want to see whether your business is appearing across Google AI, ChatGPT, Claude, Perplexity, Grok and broader AI search, start here. It's free:
https://t.co/Evw8cXXicl
So, Semrush tracked a fixed panel of 400 commercial keywords every month from September 2025 through August 2026.
The keywords covered banking, software and ecommerce across five commercial modifiers: alternatives, brand vs brand, best X for Y, pricing and cost, and reviews.
In September 2025, AI Overviews appeared on 45.75% of those keywords.
By August 2026? 88%.
Nearly double.
And then when Semrush weighted those same keywords by estimated search volume, AI Overviews covered 97.08% of the commercial search demand represented by the dataset.
What kind of searches are we talking about here? Think:
"Best CRM for a real estate company"
"HubSpot vs Salesforce"
"HubSpot alternatives"
"HubSpot pricing"
"HubSpot review"
The customer is comparing, checking price, evaluating options and deciding who makes the shortlist - and Google increasingly puts an AI-generated answer in front of them on exactly those kinds of searches.
That is why SEO and AI Search Optimization increasingly need to happen together, and why SEO Stuff (https://t.co/wKpf0EILTx) works with businesses daily on checking all the necessary boxes.
Businesses NEED TO pay attention to the information Google can find around the brand.
Your website, comparison pages, review sites, editorial coverage, YouTube, communities, 3rd party websites and competitor content - it all matters.
Semrush showed a good example with "Mailchimp vs Klaviyo" where Google's AI Overview cited Klaviyo's own comparison guide when explaining when somebody should choose Klaviyo.
For the Mailchimp side, it used a third-party source.
That is a pretty good illustration of what commercial AI Search can look like.
Your own website can help shape the answer but then your website is not the only voice Google can use.
So if customers compare your company with competitors, have useful comparison content.
If people search for alternatives, explain where your product fits.
If pricing matters, make pricing clear.
That is exactly what the SEO Stuff Premium Content Bundle is designed to build:
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Mind you, not just top-of-funnel articles, but content around comparisons, alternatives, pricing, reviews, use cases, industries, objections and buying decisions.
Then there is the authority side.
AI Overviews can synthesize information from multiple sources.
So you do not want the only information about your company to come from your own website.
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90% of strategies fail. Why?
Because pieces don’t fit together.
Here is how to build a strategy delivering results:
A healthy business strategy is like a pyramid:
Each layer supports the next.
Miss one, and the whole thing wobbles.
Sharing the blueprint that works:
1. Vision
What’s your business aspiration?
This is your ultimate “why”.
The future you’re aiming for.
2. Mission
Why does your company exist?
What did the founders envision?
This is your reason for getting out of bed every morning.
3. Strategy
What’s your long-term roadmap?
This is how you’ll reach your objectives, step by step.
4. Objectives
What do you aim to achieve?
Clear, measurable results that keep everyone focused.
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What’s your methodology?
The practical way you’ll execute the strategy.
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Smaller, targeted moves that support the big picture.
What’s the key?
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D) Strategy guides.
E) Objectives clarify.
F) Approach organizes.
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If your business strategy covers all six layers...
Your team aligns.
Your actions compound.
Your business thrives.
P.S. Which layer needs your attention right now?
♻️ Repost so your network can build strategies that work!
----
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J.R.R. Tolkien explains why he spent years building Middle-earth before writing The Lord of the Rings.
In a rare interview, Tolkien is asked why he devoted more than a decade to creating the world behind his stories before writing them.
He rejects the idea that Middle-earth emerged purely from his unconscious, describing himself instead as “a meticulous sort of bloke” who spent years working out timelines, languages, histories, customs, and genealogies until everything fit together.
For Tolkien, the world existed before the story.
He even says The Hobbit began almost by accident, explaining that the larger mythology was already in place and that the novel simply became absorbed into it.
When asked why anyone would build an entire fictional world before telling a story, Tolkien points to what he calls “subcreation.”
As creations of a Creator, he argues, humans naturally desire to create. Since we cannot create something from nothing, we instead reshape existing reality into new forms that are both imaginative and aesthetically satisfying.
Tolkien also rejects the idea that art should be driven solely by moral purpose, insisting that beauty and aesthetics are just as fundamental to human creativity.
Discussing good and evil, he explains that Sauron was not evil from the beginning but fell from grace, much like Lucifer. The One Ring, he says, symbolizes a power so absolute that even someone with good intentions would inevitably be corrupted by wielding it.
He adds that this idea long predates the atomic age, noting that the foundations of his mythology were developed while he was still an undergraduate, not as an allegory for modern events.
At the end of the interview, Tolkien is asked whether he would rather be remembered for what he said or for what he made. He dismisses the distinction, arguing that lasting creations endure precisely because they have something meaningful to say.
Source: The Tolkien Professor interview with J.R.R. Tolkien (BBC, 1968), “J.R.R. Tolkien Interview (1968).
Vitalik Buterin's Two-Part Test For Blockchain Applications
Ethereum founder Vitalik Buterin explains how he decides whether an application actually belongs on a blockchain.
Asked what kinds of applications Ethereum is well suited for, both the ones people are building today and ones in the future, @VitalikButerin says the answer falls into a few major categories, starting with the most obvious:
"Anything to do with like currency itself is obviously going to be a major category pretty much forever because you want the security associated."
But rather than listing use cases, Vitalik works from first principles. To know what makes a good blockchain application, start with what a blockchain actually is:
"The way I define a blockchain is it's a decentralized system that contains some kind of shared memory."
In Bitcoin's case, the shared memory is how many bitcoins everyone has at any given time. But it could be anything.
From that definition, his test follows:
"A good blockchain application is an application that number one needs decentralization and number two needs some concept of shared memory."
For cryptocurrencies themselves, Vitalik thinks the case for decentralization is fairly clear. But the framework points beyond currency:
"If you have decentralized cryptocurrencies, then you can build many other things on top of them."
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