Definition
AI visibility is the degree to which AI assistants such as ChatGPT, Gemini, Perplexity and Google AI Overviews know your brand, describe it accurately, and put it forward when someone asks for options in your category.
It is broader than being indexed or ranked. A brand can rank well in classic search and still be invisible in the answer a buyer actually reads.
The three things it measures
1. Presence. Are you mentioned at all? Measured as share of voice: the percentage of relevant answers that name your brand, across a fixed set of prompts and engines.
2. Accuracy and sentiment. When you are mentioned, is the description correct and favourable? A mention that says "expensive, enterprise only" filters out buyers before they ever reach your site.
3. Recommendation. Do you make the shortlist when someone asks for the best option, or are you only named when they ask about you directly? These are very different levels of visibility.
Why it matters now
A growing share of buying research happens inside AI chat interfaces, where the user sees one synthesised answer rather than ten links. The brands named in that answer inherit the attention that used to go to the top search result. The brands missing from it are not ranked lower, they are simply absent.
What drives it
- Entity clarity: consistent facts about who you are and who you serve, everywhere engines look.
- Citable content: definitions, comparisons and data written in a form models can quote.
- Technical access: structured data, clean HTML, fast responses, an
llms.txtfile. - Third-party credibility: mentions on sources these engines already trust.
How to start
Measure first. Pick the twenty questions your buyers actually ask, run them across the major engines, and record who gets named and how you are described. That baseline tells you whether your problem is presence, accuracy or recommendation, and each of those has a different fix.
Frequently asked questions
How is AI visibility different from SEO?
SEO competes for a position in a list of links. AI visibility competes for inclusion in a synthesised answer, which depends on how clearly your content can be extracted and how consistently your brand is described across the web.
Can AI visibility be measured?
Yes. Run a fixed set of buyer questions across engines on a schedule and score the answers for presence, sentiment and recommendation. Repeating the same set makes the trend comparable month to month.
How long does it take to improve?
Technical and content fixes can surface within weeks on engines that retrieve live data. Deeper visibility, the kind that comes from being widely and consistently described, builds over months.