geo-measure
Measure GEO visibility from an approved, file-backed engine observation bundle. Use for AI answer mention rate, source inclusion, citation share, query-panel coverage, GEO monitoring, 监测 AI 可见度, 衡量 GEO 效果, and offline baseline comparison. Exclude live scraping, platform login, automated collection, and unsupported causal claims.
Resources
6Install
npx skillscat add yaojingang/geohub/geo-measure Install via the SkillsCat registry.
GEO Measure
Workflow
- Read
references/measurement-method.mdand verify collection permission. - Prepare a protocol
1.0.0engine observation bundle from manual export, approved API, or recorded fixture. - Run
python3 scripts/run_measure.py --input <bundle.json> --output <runs-root>. - Inspect
visibility-report.json,quality-report.json, andrun-lineage.json; surface every gap and collection limitation. - Deliver the Artifact Bus run directory as the output contract.
Output contract
Produce the input snapshot, visibility-report.json, quality-report.json, run-lineage.json, and run-manifest.json. Preserve query-level components, per-engine metrics, numerators, denominators, missing counts, panel version, and semantic digest.
Boundaries
Measurement is offline and file-backed. It never logs in, scrapes consumer AI pages, bypasses access controls, or turns recorded fixtures into live-effect evidence. Read references/output-contract.md before making a comparison claim.
Categories
Install
npx skillscat add yaojingang/geohub/geo-measure Install via the SkillsCat registry.