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AI Visibility Index · October 2026

How the Index is measured

Which questions are asked, how often, how a name becomes a share, and when a page is ranked. Everything here applies to every page of the October 2026 edition.

The Index asks ChatGPT, Claude, Gemini and Grok four buyer questions per kind of business and place, three times each (Claude once on most pages), without web search. A business is listed once two answers name it, ranked by its share of answers with a 95% interval, and a page is ranked only when enough answers came back.

What is asked

Assistants
ChatGPT, Claude, Gemini and Grok, asked in October 2026: ChatGPT and Claude through the maker’s own command-line tool on a subscription; Gemini and Grok through a gateway to the maker’s API. The free scan asks them too.
Questions
Four per kind of business, written out in the language of the place rather than translated word for word, and asked in the same order everywhere. Each ranking page prints them, with an English gloss on the English page.
Runs
Every question is asked three times (Claude once on most pages) to every assistant. A single answer is a sample; three show which names come back.
Prompt
The system prompt and recommendation format the free scan uses. No web search, no location and no chat history, so the answer comes from what the model already holds.
Places
Local trades are asked about a city, software, online services and consumer brands such as banks, mobile carriers and supermarkets about a country.

What is counted

AI Recommendation Rate
The fraction of answers that named the business. A business named twice in one answer counts once.
No name given
An answer that names no business still counts as an answer, so it lowers every share on the page. Each page says how many answers from each assistant named no one.
95% interval
A Wilson interval around the share. With a few dozen answers per page it is wide, and two businesses whose intervals overlap should be read as level.
Listed
A business appears in a ranking once two or more answers name it. Names given once are counted in the page totals but not listed.
Order
By share, then by average position in the answers that named it, then alphabetically.
Named again on a rerun
For each assistant and question, the names that came back in two or more runs, as a share of every name the runs gave.
Overlap between assistants
The average, over each pair of assistants that both named someone on the page, of the names both gave as a share of the names either gave. An assistant that named no one is left out of the pairs rather than counted as disagreeing.

When a page is ranked

2,580 of 2,580 pages met all three conditions this edition.

Answers
At least 24 answers across the assistants.
Failures
Fewer than 20% of the calls failed or came back unreadable.
Names
At least five businesses named in two or more answers.
Below the line
A page that misses any of the three is still published for anyone who has its address, marked as not ranked, left out of search engines and not linked from the Index.

How names are merged

Spelling
Names are compared with accents, capitals, legal suffixes, a leading "the" and notes in brackets removed. Nothing fuzzier: two real practices folded into one would be a worse error than one practice listed twice.
Branches and chains
A language model then groups the spellings on each page that are one business, such as a chain's branches, and is told to keep names apart when unsure. The groups are stored with the raw answers, and the other spellings are printed under the name.
By hand
A kept list of overrides can merge two names or keep them apart, and wins over the model.
Not verified
Names are printed as the assistants wrote them. We do not check that a business exists, is open or is any good, and an assistant can name one that does not.

With web search

Some pages were also asked with web search switched on. Those answers get their own column beside the offline share and never count toward it: with search on, an answer depends on what the search returned as much as on the model.

What the Index is not

It is not a rating of the businesses, a local search result or a forecast. It records what these models said, in one month, to questions asked without a location or a chat history. A real conversation can go differently, and the next model version will.

Corrections and reuse

If a name is wrong, is not a business, or is yours and you want it out, tell us and we correct or remove it when the page is next published. The data is published under CC BY 4.0: reuse it with a link to the page it came from.

Read the findings

Download every ranking as CSV

Archived for citation: DOI 10.5281/zenodo.23188442, Hugging Face, Kaggle

To cite this edition: AIGROW (2026). AI Visibility Index, October 2026 edition [Data set]. Zenodo. https://doi.org/10.5281/zenodo.23188442

See what they say about you

The free scan puts your own customers' questions to the same assistants, with the same prompt.

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Edition October 2026 · published by Guglielmo Paesano, founder of AIGROW · data under CC BY 4.0