How to Measure AI Search Visibility

Why AI visibility is harder to measure than rankings

Traditional rankings are stable and checkable: a keyword sits at a position on a page. AI answers are generated, vary between users and sessions, and rarely expose a clean ranking. That means you measure by sampling, not by reading a single report. You ask the same questions repeatedly and look at how often, and how well, you appear.

Step one: build a prompt set

Write down the real questions a buyer would ask an AI before choosing a business like yours. Mix three types:

• Category questions: "best [your service] in [your city]", "who are the leading [your category] in the UK".
• Problem questions: the problem a customer has before they know your category exists.
• Brand questions: "what does [your business] do", "is [your business] any good". These test accuracy, not just presence.

Ten to twenty prompts is enough to start. Keep the list fixed so results are comparable over time.

Step two: run them across the platforms that matter

Test on the platforms with real UK reach. Statcounter puts Google search market share in the UK at 92.7% (Q1 2025), so Google AI Overviews has the widest reach. Then test ChatGPT, Microsoft Copilot (both lean on the Bing index), Perplexity and Gemini. Use a logged-out or fresh session so personalised history does not skew the result.

Step three: record the right things

For each prompt and platform, record four fields in a simple sheet:

• Mentioned: were you named at all? Yes or no.
• Position: first, mid-list, or last among the businesses named.
• Accuracy: was the description of you correct? Note any factual errors.
• Citation: did the answer link to your site as a source, where the platform shows sources?

From these you derive your two headline numbers: mention rate (share of prompts where you appear) and accuracy rate (share of mentions that describe you correctly). A high mention rate with low accuracy is a warning sign: the AI knows you exist but has the wrong story, usually because your own signals contradict each other.

Free first, tools later

Do the manual baseline before buying anything. It is slow but it teaches you what AI actually says about you, which a dashboard cannot. Our free AI Visibility Checker gives a quick read on your site signals, and the guide on checking AI visibility yourself walks through the manual method in more depth. Paid monitoring tools are reviewed in our best AI search monitoring tools roundup, but they are only worth it once you have a baseline to compare against.

Step four: set a cadence and watch the trend

Re-run the same prompt set monthly. AI answers shift as platforms update their models and as your ecosystem signals build, so a single snapshot tells you little. The trend, mention rate and accuracy moving up or down over several months, is the real measure of whether your work is paying off.

Primary sources

• Statcounter GlobalStats: UK search engine market share.
• Semrush: AI Overviews citation behaviour.
• Rank4AI Research, 2026: first-party UK SME website audits. See our methodology.