AI visibility
Being part of the answer
A search results page lists ten options and lets the customer choose. An AI answer chooses for them, and names three. This page explains what decides which three.
What AI visibility actually means
AI visibility is whether AI assistants and answer engines identify your business, describe it correctly, and include it when they answer the questions your customers ask before they buy.
It has three parts, and businesses tend to be strong at one and weak at another. Being known is whether you surface at all. Being described accurately is whether what surfaces is true and complete. Being recommended is whether the system moves from mentioning you to actively suggesting you. A business can be well known and rarely recommended — that is the most common pattern we see, and it is a content problem rather than a technical one.
Why the shape of the answer changes the stakes
On a results page, being tenth still earns a click occasionally, and a customer sees the whole competitive set. In a synthesised answer, the customer usually sees two or three businesses and no indication of what was left out. There is no page two. Absence is invisible to the customer and expensive to you.
The second change is attribution. An answer engine paraphrases. If your page is the source but your name is not in the sentence, you have supplied the answer and received none of the credit — which is why citation behaviour is scored separately from visibility.
The mechanism
Five things have to go right before you are named
Nobody outside the platforms knows their exact selection rules. What is observable is the sequence a business has to survive to appear in an answer at all.
- 01
Identification
The system has to be confident your business is a distinct entity: a specific organisation, at a specific place, offering specific things. Structured data, consistent naming and corroborating profiles do this work. Ambiguity is resolved by omission.
- 02
Retrieval
Your content has to be reachable and indexed. A site-wide noindex, a blanket crawler block, or pages that exist only behind JavaScript that never renders will keep you out regardless of how good the business is.
- 03
Extraction
The system needs a passage it can lift. Sections that open with a direct answer in 40–60 words are quotable; sections that open with a brand statement are not. This is the difference between being read and being used.
- 04
Corroboration
Claims confirmed in more than one independent place are treated with more confidence than claims made only on your own site. This is why directory listings, association registers and genuine editorial mentions matter more than they did for rankings.
- 05
Selection
Finally the system chooses which two or three businesses to name. It favours the ones it can describe specifically and confidently. Specificity — project sizes, price ranges, service areas, credentials — is what turns a candidate into a recommendation.
In practice
Where the work actually is
In most businesses the fixes are unglamorous, cheap and already overdue.
Technical
- Organization and LocalBusiness schema, complete
- sameAs links to every profile you control
- A sitemap, canonical tags, no stray noindex
- A deliberate decision about AI crawlers
Content
- Question headings drawn from real buyer language
- A direct answer in the first 40–60 words
- Specifics: price ranges, timeframes, service areas
- A service page per service, not one combined page
Authority
- Google Business Profile claimed and complete
- Industry association and licensing registers
- Genuine editorial or partner mentions
- Identical business details everywhere
AI Says is not affiliated with or endorsed by OpenAI, Google, Anthropic, Perplexity or other AI/search providers. Platform names are used descriptively to identify the services being assessed.
Questions
AI visibility questions
They overlap but they are not the same. SEO optimises for a ranked list of links where position ten still gets seen. AI visibility optimises for inclusion in a short synthesised answer where position four often does not exist. The shared foundation is being crawlable and credible; the difference is that AI systems need passages they can quote and corroborate, not just pages they can rank.
No, and anyone promising that is overselling. What you can do is remove the reasons you are excluded: ambiguity about who you are, content that answers nothing directly, an absence of independent sources confirming your claims, and technical barriers to retrieval. That shifts the odds, which is all anyone can honestly offer.
Google itself now shows AI-generated answers above traditional results, so the question is less about which tool your customers open and more about which format they read. The same signals that make you quotable in an assistant make you quotable in an AI overview.
Continuously, and for reasons outside your control: models are updated, retrieval indexes refresh, competitors publish, and the same question can be answered differently at different times. That is why a single check is a snapshot and why confidence is reported alongside every score.
Entity ambiguity. If a system cannot confidently determine that your business is a distinct, identifiable organisation with a known location and a known offering, it will hedge or omit you rather than risk being wrong. Most of the technical work in AI visibility is removing that doubt.
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