What AI visibility actually means
An AI engine does not rank ten links: it writes an answer and cites a few sources. Your AI visibility is how often your brand shows up in those answers, on the questions your buyers really ask.
Three things happen at once: does the engine know your company, does it describe it correctly, and does it recommend you against your competitors.
- Mention: your brand is named in the answer.
- Citation: one of your pages is used as a source.
- Description: what the engine claims about your offer, right or wrong.
- Share of voice: your weight against the other brands cited on the same question.
What Zenboost measures
Zenboost starts from your URL, reads your website and LinkedIn page, infers your positioning, offers and market, then builds a set of buyer questions specific to your business. Those questions are put to the AI engines.
| What is analysed | What you get |
|---|---|
| ChatGPT, Gemini, Claude, Perplexity | A visibility score per engine and an overall score |
| Buyer questions generated from your site | The exact list of queries tested, reusable |
| Brands cited in the answers | Your share of voice against the competitors actually named |
| Sources the engines rely on | The pages and domains that hold authority on your topic |
| Description gaps | What AI gets wrong about your offer |
How to read an AI visibility score
A low score is not a verdict. In many niche B2B markets, nobody is properly cited yet — which is exactly the opening. What matters is the gap between your score and the brands cited on your questions.
- Never cited: the engine has no explicit content about your offer and market.
- Cited but poorly described: your site leaves too much room for interpretation — implicit offer, internal jargon, no clear page per problem solved.
- Cited behind a competitor: they have pages that answer the question directly, plus third-party sources that confirm it.
What improves AI visibility
AI engines rely on text that is explicit, verifiable and attributable. The levers look like SEO, but phrasing matters more than keyword density.
- One page per problem solved, written in the buyer's words, with the answer at the top.
- Attributable facts: coverage area, industries served, delivery formats, pricing where possible.
- External proof: press mentions, reviews, talks, third-party pages describing your positioning.
- Machine-readable structure: explicit headings, tables, Q&A, structured data.
- Freshness: engines favour recently updated pages on moving topics.
GEO, AEO, SEO: the vocabulary
GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) describe the same concern: appearing inside a written answer instead of a list of links. SEO is still required — AI engines largely read what search engines index — but on its own it is no longer enough.
Frequently asked questions
- Should we drop SEO for GEO?
- No. AI engines lean heavily on indexed pages. GEO sits on top of SEO: same technical foundations, but more explicit writing and more attributable proof.
- AI answers change every time. Does a score mean anything?
- Answers vary, which is why the score is read as a trend across a set of questions, and above all in comparison with the competitors cited on those same questions.
- How long does a scan take?
- A few minutes. You enter your URL, Zenboost reads your site, generates buyer questions, queries the engines and produces the report.