Individual skill
open-geo
Use this skill when measuring or rechecking a brand's visibility in AI answers, citations, source lists, or competitor rankings; when resuming an interrupted GEO run; or when another workflow needs captured answers and a portable measurement artifact. Use it even if the user says only “am I recommended?”, “who gets cited instead?”, or “run these questions”. Capture rendered answers through an available engine playbook, persist validated data, and export JSON; add PDF/dashboard only when requested. Accept a query CSV or a semantic-core handoff. Question research requires the separate opt-in harvest flow; this skill does not audit or edit the target website.
.gemini/skills/open-geo/SKILL.md
Source commit 97bd17024393df10804ae90f719d81af1d306d9f
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
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- Observed behavior
- Not checked yet
- Last checked
- Nov 7, 2026
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Repository context
- Repository stars (not skill ratings)
- 29
- Repository last updated
- Oct 24, 2026
- License
- MIT
Observed agent integration: gemini-cli
- aeo-optimization Repository topic
- answer-engine-optimization Repository topic
- claude Repository topic
- generative-engine-optimization Repository topic
- geo Repository topic
- ai-visibility Repository topic
- brand-monitoring Repository topic
- chatgpt Repository topic
- deepseek Repository topic
- gemini Repository topic
- marketing Derived category
- operations Derived category
- data Derived category
- security Derived category
- research Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 8,958 bytesSKILL.mdcore · 8,958 bytesSKILL.mdcore · 8,958 bytesSKILL.mdcore · 8,958 bytesreferences/deliverables.mddoc · 3,468 bytesreferences/gotchas.mddoc · 3,198 bytesreferences/harvest.mddoc · 7,162 bytesreferences/metrics.mddoc · 1,875 bytesreferences/run.mddoc · 7,575 bytesreferences/runtime.mddoc · 2,010 bytesreferences/validation.mddoc · 3,478 bytes
Read excerpt
# Open GEO
One run = one question set, target, and engine. Return a portable
`open-geo.run-artifact.v1` JSON file, with optional PDF/dashboard.
`pipeline/INTERFACES.md` defines the contracts; `pipeline/schema.py` validates captures.
## Invocation and defaults
```text
/open-geo <questions.csv> <engine> <domain-or-URL-prefix> --brand "<name>"
[--n-worker N] [--output data|dashboard|pdf|both]
[--artifact-out <path.json>] [--period today|all]
[--lang en|ru|zh|ar] [--repeat R]
```