AI Visibility Tracking
See how often AI engines mention and recommend your brand.
One number for how often you appear across every tracked prompt and engine, averaged over daily runs.
Your mentions against each competitor, per topic and per engine.
Whether answers describe you positively, neutrally or negatively, and why.
AI visibility tracking measures how often AI assistants mention, recommend and describe your brand when people ask about your category. It runs a fixed set of prompts on ChatGPT, Gemini, Claude, Perplexity, Copilot and Google's AI features, and records every answer.
Search rankings tell you where a page sits in a list. AI answers have no list: a brand is either named or it isn't, and the description can be accurate, outdated or wrong. Visibility tracking turns those answers into numbers you can follow week by week.
Before AI engines can mention you, they need to recognise you as a brand. This free check reads the on-site signals they rely on: Organization markup, a consistent name, linked profiles and open access for AI search crawlers.
Pick the questions buyers ask: category, comparison, problem and brand prompts.
Each prompt runs on every engine on a schedule, because AI answers change from run to run.
Every answer is checked for brand mentions, position, sentiment and the sources it cites.
Scores roll up by engine, topic and competitor, so you can see what moved and why.
The share of runs in which your brand appears, per prompt, engine and topic.
Whether you're the first recommendation, one of several, or a footnote.
How the answer describes you, and claims that conflict with your real pricing, features or locations.
Separate results for each assistant, since each one draws on different sources.
Group prompts by product line or use case to see where you're strong and where you're missing.
Every answer is stored, so you can see exactly when a description changed.
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It's the share of tracked prompt runs that mention your brand, averaged across engines and days, so one unusual answer doesn't swing the score.
Mix category questions (“best X for Y”), comparisons (“X vs Y”), problems your product solves and questions about your brand. Most brands start with 25–50 prompts and expand from there.
AI engines rarely give the same answer twice. Daily runs give a reliable average instead of a single snapshot.
Yes. Clear Organization markup, a consistent brand name, linked profiles, open access for AI search crawlers and pages that answer real questions all help. Tracking tells you which of those changes actually moved your visibility.
It reads one page and checks the signals AI engines use to recognise a brand: Organization schema, consistent naming, logo, sameAs profiles, trust pages, robots.txt access for AI search crawlers and llms.txt.
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