Paste your keywords and get an instant AI Exposure Score - which queries are likely showing a Google AI Overview, and how much of your traffic is exposed to the click loss. Based on published trigger-rate data by query type.
| Keyword | Query type | AIO likelihood | Est. CTR loss |
|---|
AI Overviews don't appear evenly - they cluster on informational and comparison queries and stay away from transactional ones. This tool classifies each keyword by pattern and applies the published rates:
| Query type | Pattern | AIO trigger rate |
|---|---|---|
| Comparison | "X vs Y", "versus" | ~95% |
| Review / Best | "best…", "top…", "review" | ~86% |
| Question | how / what / why / can / does… | ~86% |
| Informational | general, no buy intent | ~50% |
| Commercial / Transactional | buy / price / deal / near me | <10% |
The AI Exposure Score is the average trigger likelihood across your keywords. The estimated CTR loss on triggered queries uses the Ahrefs figure of ~58% for the #1 position. It's a directional estimate - for exact live AIO presence per keyword, pair it with a SERP tracker.
Most sites have no idea what share of their keywords now return an AI answer instead of a list of links. If 60% of your traffic sits on high-trigger queries, a big chunk of your organic clicks is being quietly absorbed - and the only durable fix is to become the source the AI Overview cites. This checker is step one: see the exposure, then price it and fix it.
Generate and validate a spec-correct llms.txt for your site in one click.
Open →FAQ, Article, HowTo & Person JSON-LD, ready to paste - tuned for AI citation.
Open →Model how much organic revenue AI Overviews could cost you - and what to recover.
Open →The field notes in your inbox - one thing I tested, the raw numbers behind it, and what it means for getting cited by AI.