How to Measure Your AI Search Visibility (and Track It Over Time)
Updated 2026-09-01
Google Search Console will tell you how you rank and how much traffic you get from traditional search. There is no equivalent, universal dashboard for AI answer engines — no single tool tells you "here's every time ChatGPT was asked something you could have answered, and whether you were mentioned." That doesn't mean it's unmeasurable, just that measuring it takes a more deliberate, manual-first approach.
Step 1: Write down the real questions
Start from your actual customers, not guesses — pull the specific questions that come up in calls, emails, chat logs, and reviews. These are the queries that matter, because they're the ones an AI system is actually likely to be asked on your behalf.
Step 2: Ask each question directly, consistently
Run each question through the AI tools you care about (ChatGPT, Perplexity, Claude, Google's AI Overviews where they appear) in a fresh session, without leading the model toward your business. Note, for each: were you mentioned at all, how prominently, and who was mentioned instead.
Step 3: Re-check on a regular cadence
AI answers can shift as models are updated, as your web presence changes, and as competitors publish new content. Re-running the same set of questions monthly or quarterly turns a one-time snapshot into an actual trend line you can act on.
Step 4: Look for the "why," not just the "whether"
A yes/no mention count is a start, but the more useful data point is why — which competitor showed up instead, and what specifically about their content or reviews made that happen. That's what tells you what to actually go fix.
A faster way to do steps 1–4
This kind of structured, repeatable check is exactly what AEO Score automates: enter your brand and up to five real customer questions, and get a scored, evidence-backed breakdown of your current AI search visibility in a couple of minutes — a baseline you can re-run any time you want to see whether your changes worked.