What is an AI visibility score?

An AI visibility score is a 0-100 measure of how often AI answer engines — ChatGPT, Gemini, Perplexity and Bing's AI answers — mention or recommend your business when people ask buying questions in your category. A high score means AI assistants routinely surface you; a low score means you're effectively invisible in AI search.

How is an AI visibility score calculated?

You ask several AI engines a representative set of real customer questions for your category and location, then measure how often your business appears, how prominently, and whether the mention is accurate. Scoring across multiple engines and multiple prompts gives a stable percentage rather than a one-off result.

What is a good AI visibility score?

For a small local business, appearing in a clear majority of relevant answers is strong. Many businesses score under 20 the first time they measure, simply because they've never optimised for AI search. The score matters most as a trend — the goal is steady month-on-month improvement.

AI visibility score: what it is and how to improve yours

Your Google ranking tells you where you sit on a results page. Your AI visibility score tells you something newer and, increasingly, more valuable: how often an AI assistant actually recommends your business when a customer asks. Here's what it measures and how to move it.

A score gauge reading high next to an AI chat bubble and a rising bar chart, illustrating an AI visibility score

When someone asks ChatGPT "who's the best AI receptionist provider for a UK dental practice?" or asks Gemini "recommend a plumber in Leeds", the AI gives a short, confident answer naming a few businesses. If you're one of them, you win the customer before they've seen a single search result. If you're not, you never entered the race — and unlike a Google results page, there's no page two to scroll to.

An AI visibility score puts a number on that reality. This guide explains what it measures, how it's worked out, and the concrete steps that move it.

A single 0–100 score for how often AI engines mention your business — track the trend, not one reading.

What an AI visibility score measures

An AI visibility score is a 0–100 figure representing how often — and how prominently — AI answer engines mention your business when people ask buying questions in your category. It usually rolls up several things:

Mention rate — across a set of realistic customer prompts, how often do you appear at all?
Prominence — are you named first and clearly, or buried in a caveat at the end?
Accuracy — when you are mentioned, does the AI describe you correctly (right services, right location)?
Breadth — do you show up across multiple engines (ChatGPT, Gemini, Perplexity, Bing), or just one?

Because a single prompt can be noisy, a reliable score comes from asking many questions across several engines and averaging — not from one lucky or unlucky answer.

Why it matters now (and didn't two years ago)

The behaviour has shifted. A growing share of people now ask an AI assistant for a recommendation instead of scrolling a list of ten blue links — and they tend to act on the two or three names the AI gives them. That makes AI mentions high-intent: the person is ready to buy and has just been handed a shortlist. If your competitors are on that shortlist and you're not, the traditional SEO scoreboard barely matters.

For the full background on this shift, see what AI search visibility actually means.

How to measure your score (the manual version)

You can get a rough read yourself in under an hour:

Write down 10–15 real questions a customer might ask an AI to find a business like yours — include your service and your location.
Ask each one in ChatGPT, Gemini and Perplexity. Use a fresh/logged-out session so your own history doesn't skew results.
For each answer, record: were you mentioned? How prominently? Was it accurate?
Tally it up. If you appear in fewer than two of every ten answers, you're effectively invisible — a low score, and a clear starting point.

The manual method is honest but slow and hard to repeat consistently. An automated AI SEO audit runs the same probes at scale and returns a stable score you can track over time.

The five levers that actually move your score

1. Get the technical basics right first

If AI crawlers can't read you, nothing else works. Make sure GPTBot, ClaudeBot and PerplexityBot aren't blocked in robots.txt, and — often overlooked — verify your site in Bing Webmaster Tools, since Bing's index feeds ChatGPT's web results. This single step fixes a surprising number of "invisible" cases; more in why your business is invisible to ChatGPT.

2. Make your facts machine-readable with schema

Organization, LocalBusiness and FAQ schema hand the AI clean, unambiguous facts about who you are, where you operate and what you offer. Our schema.org for AI search guide has the copy-paste JSON-LD.

3. Build genuine topical depth

AI models favour businesses that the web clearly associates with a topic. A cluster of solid content on your core service signals expertise far better than one thin page — and it gives the model more correct material to quote.

4. Earn consistent mentions across the web

Reviews, directory listings, and mentions on other reputable sites all reinforce that you're a real, established option. Consistent Name/Address/Phone details everywhere help the model connect the dots into one confident entity.

5. Structure content to be quoted

Answer questions directly and self-containedly, use question-style headings, and include specifics (prices, areas served, timeframes). This is the heart of GEO — see how GEO differs from SEO and how to rank in ChatGPT in 2026.

What to expect once you start

AI visibility doesn't move overnight, but it tends to move faster than classic rankings once the fundamentals are in place — the engines refresh, pick up your new signals, and start surfacing you. Treat the score as a trend line, not a single reading: measure a baseline, work the five levers, and re-measure monthly. The businesses that start structuring for AI now are the ones being recommended while their competitors are still wondering why they never come up.