How to measure and improve AI search visibility

Start with the questions buyers ask

AI visibility starts with prompts that sound like real customers. Instead of checking a broad keyword like “accountant,” test questions such as “best small business accountant in Austin” or “who handles tax planning for dentists near Denver?” Those prompts reveal whether AI engines can connect your business to the buying moment.

A useful prompt set covers your core category, location, specialties, comparison searches, and urgent problem searches. Keep it stable after the first run so future reports show real movement instead of prompt drift.

What to measure

• Use natural buyer questions, not keyword fragments.
• Track your business and the competitors that AI engines name instead.
• Look at cited sources, not only the final answer.
• Repeat the same prompt set over time so movement is comparable.

How to read a visibility report

1. 1

   Mention rate

   How often your business appears across the prompts and engines you checked. Low mention rate means AI engines do not yet see enough public evidence to recommend you consistently.

2. 2

   Competitor mentions

   Which businesses appear instead of yours. These names show the public proof, category positioning, and review footprint you may need to match or counter.

3. 3

   Source citations

   The pages AI engines rely on when forming an answer. If your own site is never cited, improve crawlable pages and structured business data first.

4. 4

   Recommended actions

   The highest-leverage changes to your website, citations, reviews, and category content based on the actual gaps found in the report.

Where improvement usually comes from

A practical cadence

Run an initial report to find the gaps, make one or two visible public changes, then rerun the same prompt set after those changes have had time to be discovered. For most teams, monthly monitoring is enough to catch competitor movement and measure whether new evidence is helping.