AI Visibility Audit: 100 Sites, 89% Invisible to AI · Fluenta

AI Visibility Audit: 100 Sites, 89% Invisible to AI

Ask ChatGPT or Perplexity for the best company in a category, and for most businesses the assistant names a competitor. Across the first 100 AI visibility audits run by Fluenta Magnet, 89% of businesses were not recommended by a single AI engine when a buyer asked for the best option in their category. The cause is rarely a broken website. The engines usually knew the brand existed. They just did not say the name when a customer was choosing.

Each audit queries six AI answer engines live, checks whether 14 crawlers can read the site, benchmarks authority against real competitors, and surfaces the exact search terms the business could own. This report is what those 100 audits show, and the routine that closes the gap.

Key Takeaways

89% of audited businesses are not recommended by any AI engine when a buyer asks for the best in their category.
Being known is not being recommended. On average about 3 of the 6 AI engines recognized the brand, and almost none recommended it.
The problem is rarely technical. Most audited sites could be read by crawlers and still went unnamed. The gap is authority and content, not code.
Every audited site was carrying spam backlinks. On the median site 66% of the backlink profile was spam, a median of 99 junk domains per site.
Every audit found reachable content the business could own, from about 460 to 348,000 searches a month, with single terms worth up to 265,000.

Who these 100 businesses are

The audits are not one industry or one country. They cover crypto and blockchain exchanges, law firms, dental and medical clinics, business coaches and psychologists, real estate agencies, ski-transfer and transport services, online schools and children's education, e-commerce and fashion shops, insurance platforms, fintech and payments, SaaS and AI products, marketing agencies, manufacturing and logistics, and local trades like plumbing. The businesses operate in more than a dozen countries, including the United States, the United Kingdom, Germany, France, Switzerland, Israel, the United Arab Emirates, Thailand, Russia, Ukraine and Brazil. The pattern below held across all of them.

Industries represented across the first 100 AI visibility audits, as a share of total
Industries represented across the first 100 AI visibility audits, as a share of total

What an AI visibility audit actually checks

An AI visibility audit is not a brand-name lookup. Typing a company into six chatbots would tell a founder almost nothing. Each Fluenta Magnet audit runs six checks and returns a working file, not a score alone.

1. Can the machines read you. 14 crawlers are tested for access, including Googlebot, Bingbot, GPTBot, OAI-SearchBot, ChatGPT-User, ClaudeBot, PerplexityBot, Google-Extended, AhrefsBot and Applebot. These are the bots that feed both classic search and the AI engines.

2. Do the AI engines know and recommend you. Six live answer engines, ChatGPT, Perplexity, Gemini, Claude, Grok and Google AI Mode, plus Microsoft Copilot, are queried twice: do they recognize the brand, and do they name it when a buyer asks for the best in the category. Regional answer engines are added where the market needs them, such as DeepSeek, Baidu, Qwen, Doubao, Kimi, YandexGPT, GigaChat, Mistral and Naver.

3. How you rank against real competitors. Domain Rating, monthly organic traffic and referring domains are pulled for the business and its actual rivals, so authority is measured against the market, not in the abstract.

4. The content you could own. The audit surfaces category search terms with high demand and low difficulty, the topics a business can realistically rank for and get cited on.

5. Who is searching and why. From the competitive analysis it extracts the ideal customers, the jobs they are trying to do, and the pain and switching signals behind their searches. That is the raw material for content that actually converts.

6. The junk dragging you down. It produces a ready disavow file of the spam domains linking to the site, plus a short list of the first fixes to make in a single day.

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How visible is the average business to AI?

Barely. The average AI visibility score across the 100 audits was 22.6 out of 100, and the median was 18. The score is how often the six engines find, read and cite a site.

For most businesses, the honest reading today is that AI does not yet treat them as an answer.

AI visibility score distribution across 100 audits, most businesses scoring under 20 out of 100
AI visibility score distribution across 100 audits, most businesses scoring under 20 out of 100

Do AI engines know your brand, or just refuse to recommend it?

They know it and do not recommend it. Each audit asks six AI answer engines two questions. On brand recognition, the average business was known by about 3 of the 6 engines. On recommendation, when a buyer asked for the best in the category, the average business was named by almost none of the 6, and 89% were named by zero. Recognition is not the bottleneck. Being chosen is.

The silence is not neutral. When an engine does not name the audited business, it names a specific rival instead. In one insurance-software audit the assistants skipped the site and listed Guidewire, Sapiens and Duck Creek by name. Every unprompted recommendation of a competitor is a customer handed over.

Known by about 3 of 6 engines, recommended by almost 0 of 6
Known by about 3 of 6 engines, recommended by almost 0 of 6

What can each business actually win?

Real search demand, at low difficulty. This is the part founders underestimate. Every audit surfaces content opportunities, search terms in the business's own category with genuine monthly demand and low competition. Where the demand was measured, the reachable opportunity per business ran from about 460 to 348,000 searches a month, averaging around 62,000 a month, with a typical business near 10,000 and single keywords worth up to 265,000 searches a month. Most of those terms carried a keyword difficulty under 10. A business coach had "delegating" and "impostor syndrome" style terms pulling tens of thousands of monthly searches at difficulty 0. A discount-fashion shop had category terms at difficulty 1. These are not vanity keywords. They are the questions the business's own buyers already type, sitting unclaimed. A content flywheel exists to capture exactly this.

The free monthly search demand sitting unclaimed in your category, from about 460 to 348,000 searches, averaging 62,000
The free monthly search demand sitting unclaimed in your category, from about 460 to 348,000 searches, averaging 62,000

Which AI engines cite small brands first?

Some open the door, most do not. Not every engine behaves the same, and that decides where the first wins come from. Perplexity and Google AI Mode are the most willing to cite a brand without a large reputation behind it, with Copilot and Yandex close behind. ChatGPT, Claude, Grok and Gemini rarely name a small business. Walled or language-locked engines like Baidu, Doubao and Naver are the hardest of all, because a brand effectively has to live inside their ecosystem to be cited. Treating "AI" as one target wastes effort. The beachhead is the handful of engines that already open.

The map below places more than twenty global and regional answer engines by how easy a citation is to earn for an unknown brand and how fast each picks up fresh content.

Extended map of global and regional AI answer engines by how easy and fast a citation is to earn
Extended map of global and regional AI answer engines by how easy and fast a citation is to earn

Why this window matters now

The terms that win this category are near-zero difficulty because almost nobody has claimed them yet. "How to rank in ChatGPT" carries a keyword difficulty of 3. "AI visibility audit" carries a difficulty of 0 with a 12 dollar cost per click, which is what a term looks like when buyers want it and there is no competition. AI defaults harden over time. The business an assistant cites this quarter becomes the answer a competitor has to dislodge next year, when it is harder and more expensive. The cost of waiting is not a lost ranking. It is becoming the brand the model has already learned to leave out.

Methodology

The findings cover the first 100 AI visibility audits run by Fluenta Magnet. Each audit tests 14 crawlers for site access, queries six live AI answer engines for brand recognition and category recommendation, benchmarks Domain Rating, organic traffic and referring domains against real competitors, extracts customer segments and pain signals, surfaces category content opportunities with search volume and difficulty, and produces a disavow file of spam domains. Businesses span industries from crypto to dentistry to local trades, across more than a dozen countries. These businesses chose to check their own AI visibility, so the sample is self-selected. Even among that motivated group, 89% were recommended by none of the engines queried.

See your own score

The number that changes a founder's mind is the one for their own site. A free AI visibility audit runs all of the above and returns the report, the content opportunities and the disavow file. No signup, results in minutes.

Check AI visibility for my website

Related reading: SEO is not dead, it moved into AI answers and where website traffic actually comes from now.

FAQ

Why doesn't ChatGPT recommend my business?+

Usually because the site is not a source ChatGPT can cite, not because the site is broken. Across 100 audits, engines recognized the brand about half the time but recommended it almost never. The fix is to become a citable, third-party-referenced source in the category, not to rebuild the website.

What is a good AI visibility score?+

In this sample the average was 22.6 out of 100 and only 8% of sites cleared 50. Anything above 50 already puts a business ahead of most of its market today.

Which AI engine should I optimize for first?+

Perplexity and Google AI Mode, because they are the most willing to cite brands without a large reputation. ChatGPT, Claude, Grok and Gemini rarely name small businesses yet.

Do spam backlinks really matter for AI?+

Yes. AI engines lean on trust signals, and every audited site carried spam links, often two thirds of the profile. Reviewing and disavowing junk links weekly is the cheapest trust improvement available.

How long does it take to get recommended by AI?+

It is content and authority work, so weeks to months, not days. Anyone promising AI recommendations in two weeks is selling something.

Cite this article

Researchers and journalists: this article is freely citable. Click to copy the academic-format reference for your bibliography or footnote.

Ivanov, O. (2026). AI Visibility Audit: 100 Sites, 89% Invisible to AI. Fluenta. Retrieved from https://fluenta.space/resources/reports/ai-visibility-audit.

About the author

Oleg Ivanov

Oleg Ivanov

Co-founder & CEO, Fluenta

Oleg is co-founder and CEO of Fluenta. He spent the last decade shipping products across fintech, commerce, and AI tooling, and now leads Fluenta's work scoring startup ideas against 25 live market and social data feeds.

Related Resources

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