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Your AEO score measures whether AI search engines (ChatGPT, Claude, Perplexity, Gemini) can actually read your site and cite it in answers. Two-thirds of websites are invisible to them. Question Answering in Context just got measured.
4/10 means Question Answering in Context is borderline visible. AI bots can crawl your site but your structured-data signals are thin. You are at risk of being skipped when buyers ask AI for a recommendation.
Question Answering in Context (QuAC) is a dataset for modeling, understanding, and participating in information seeking dialog. Data instances consist of an interactive dialog between two crowd workers: (1) a student who poses a sequence of freeform questions to learn as much as possible about a hidden Wikipedia text, and (2) a teacher who answers the questions by providing short excerpts (spans) from the text. QuAC introduces challenges not found in existing machine comprehension datasets: its questions are often more open-ended, unanswerable, or only meaningful within the dialog context.
Category: Education
quac.ai1
Structured Data
8
Content Structure
5
Entity Clarity
3
E-E-A-T Signals
6
Technical AEO
3
AI Discoverability
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Your full 6-category score breakdown
Exact fixes: robots.txt, schema, llms.txt
AI bot crawls from ChatGPT, Claude, Perplexity, Gemini
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The search landscape has fundamentally shifted. While Google still dominates, millions of users now ask questions to ChatGPT, Gemini, and Claude instead of typing into a search bar.
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Scored by Engagemii on May 21, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/quac-ai
Cite this score: Engagemii (2026). "AEO Score for Question Answering in Context." Retrieved from https://engagemii.com/aeo/brands/quac-ai
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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