GEO Measure
SkillWeb & browsingMeasure 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.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the GEO Measure skill
What this skill tells your AI
The instructions your AI receives, as published by yaojingang/geohub in skills/geo-measure/SKILL.md and read by ahel’s review.
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.
Signals
- GitHub stars
- 159
- Forks
- 27
- Last commit
- Aug 2026
ahel review
K6low
bundled executables the agent is told to run
Automated review, not a security audit. Ruleset v1+k2.
Advanced
- Catalog kind
- skill
- Gateway key
geo-measure- Source
- github.com/yaojingang/geohub