Report framework
AI Search Visibility Report 2026: a practical measurement framework
A cautious framework for measuring AI search visibility without inventing numbers or promising rankings.
A reporting framework, not a claimed market study
This page is a framework for tracking AI search visibility. It does not claim to be a completed industry study and does not invent statistics. It shows what a practical report could measure.
What to track
- Queries that trigger AI-style answers.
- Brands or sources cited in those answers.
- Whether the cited pages are guides, tools, profiles or news sources.
- How local intent changes the sources shown.
- Which pages are missing despite being relevant.
Useful report sections
- Topic coverage: which subtopics appear most often.
- Source types: publishers, tools, documentation, marketplaces, directories or business profiles.
- Entity consistency: whether brands are described correctly.
- Local variation: how city or region changes the answer.
- Action list: what pages should be improved first.
Why this helps
AI search visibility can be difficult to understand because the answer may change by query, location, time and interface. A report framework makes the problem observable. It turns vague concern into a repeatable checklist.
Use this framework with the GEO AI SEO checklist and the free GEO Authority Score tool.