AI Search Visibility Audit
davepoon/buildwithclaude
Audit whether a website can be found, crawled, and cited by AI answer engines such as ChatGPT Search, Perplexity, Google AI Overviews, and Microsoft Copilot.
Measure GEO visibility from an approved, file-backed engine observation bundle.
Install Geo Measure
$ npx skills add yaojingang/GEOHub --skill geo-measure -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install yaojingang/GEOHub geo-measure --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/yaojingang/GEOHub.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/geo-measure .claude/skills/geo-measure && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "geo-measure" agent skill from https://github.com/yaojingang/GEOHub/tree/main/skills/geo-measure into .claude/skills/geo-measure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-measure", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/yaojingang/GEOHub/tree/main/skills/geo-measureType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add yaojingang/GEOHub --skill geo-measure -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install yaojingang/GEOHub geo-measure --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yaojingang/GEOHub.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/geo-measure .agents/skills/geo-measure && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "geo-measure" agent skill from https://github.com/yaojingang/GEOHub/tree/main/skills/geo-measure into .agents/skills/geo-measure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-measure", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add yaojingang/GEOHub --skill geo-measure -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install yaojingang/GEOHub geo-measure --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yaojingang/GEOHub.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/geo-measure .cursor/skills/geo-measure && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "geo-measure" agent skill from https://github.com/yaojingang/GEOHub/tree/main/skills/geo-measure into .cursor/skills/geo-measure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-measure", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/yaojingang/GEOHub.git --path skills/geo-measure--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add yaojingang/GEOHub --skill geo-measure -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install yaojingang/GEOHub geo-measure --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yaojingang/GEOHub.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/geo-measure .gemini/skills/geo-measure && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "geo-measure" agent skill from https://github.com/yaojingang/GEOHub/tree/main/skills/geo-measure into .gemini/skills/geo-measure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-measure", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install yaojingang/GEOHub geo-measureInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add yaojingang/GEOHub --skill geo-measure -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/yaojingang/GEOHub.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/geo-measure .github/skills/geo-measure && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "geo-measure" agent skill from https://github.com/yaojingang/GEOHub/tree/main/skills/geo-measure into .github/skills/geo-measure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-measure", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add yaojingang/GEOHub --skill geo-measure -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install yaojingang/GEOHub geo-measure --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yaojingang/GEOHub.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/geo-measure .opencode/skills/geo-measure && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "geo-measure" agent skill from https://github.com/yaojingang/GEOHub/tree/main/skills/geo-measure into .opencode/skills/geo-measure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-measure", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
geo-measure- GitHub stars
- 165
- Token cost
- ~348 tokens
- SKILL.md length
- 113 words
- Files
- 13 (incl. scripts, references)
- Skills in repo
- 9
- Repo updated
- First seen
- Licence
- AGPL-3.0
At a glance
Measure GEO visibility from an approved, file-backed engine observation bundle.
- Works in 5 steps: Read references/measurement-method.md… → Prepare a protocol 1.0.0 engine… → Run python3 scripts/run_measure.py… → …
- AI answer mention rate
- SKILL.md covers Workflow, Output contract and Boundaries
- Runs Python scripts from its folder; calls python3
What it does
Geo Measure is an agent skill from yaojingang/GEOHub. 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.
Its SKILL.md is about 350 tokens, which your agent loads only when the skill is triggered. The skill folder holds 18 other files, including scripts and reference files (for example `agents/interface.yaml`, `evals/semantic_config.json` and `evals/trigger_cases.json`).
It sits in Marketing & SEO, covering AI search optimization, Web scraping and Citation management. It works with Python. The repository describes itself as: GEOHub: open, evidence-bounded GEO and SEO agent skills for AI Search, with research-grounded discovery, diagnosis, content, measurement, and one-line SEO planning. The licence is AGPL-3.0.
When your agent uses it
- AI answer mention rate
- Source inclusion
- Query-panel coverage
- Offline baseline comparison
Example prompts
- “/geo-measure”
Requirements
- Python 3
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Read references/measurement-method.md and verify collection permission.
- Prepare a protocol 1.0.0 engine observation bundle from manual export, approved API, or recorded fixture.
- Run python3 scripts/run_measure.py --input --output .
- Inspect visibility-report.json, quality-report.json, and run-lineage.json; surface every gap and collection limitation.
- Deliver the Artifact Bus run directory as the output contract.
What it can do on your machine
Read from SKILL.md and the folder at commit 2210f7f. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Geo Measure loads about 348 tokens when it runs, and up to ~992 if it reads all its reference files. Until then it costs about 86 tokens; SKILL.md has 113 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from yaojingang/GEOHub at commit 2210f7f, republished under its AGPL-3.0 licence (© yaojingang). 113 words, ~348 tokens.
Download SKILL.mdSave it as
.claude/skills/geo-measure/SKILL.md (or your agent's skills folder). This skill also uses 12 other files; get the full folder from GitHub.- name
- geo-measure
- description
- 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.
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.
© yaojingang, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 12 other files (scripts, references) in skills/geo-measure of yaojingang/GEOHub.
- SKILL.md
- agents/interface.yaml
- evals/output/cases.jsonl
- evals/semantic_config.json
- evals/trigger_cases.json
- manifest.json
- references/input-example.json
- references/measurement-method.md
- references/output-contract.md
- reports/output_quality_scorecard.md
- reports/skill-ir.json
- reports/trust-report.md
- scripts/run_measure.py
Open the folder on GitHubat commit 2210f7f
Compare with similar skills
Geo Measure next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Geo Measure this skillyaojingang/GEOHub | 165 | — | ~348 | Automated safety check: Pass | AGPL-3.0 | |
| AI Search Visibility Auditdavepoon/buildwithclaude | 3.6k | — | ~2.4k | Automated safety check: Pass | MIT | |
| SEO ProfoundAgriciDaniel/claude-seo | 19k | 1 repos | ~441 | Automated safety check: Pass | MIT | |
| Aeoalirezarezvani/claude-skills | 28k | — | ~2.7k | Automated safety check: Pass | MIT | |
| Nuxt Geo Best Practicesvinayakkulkarni/nxui | 212 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Create Geo Chartsonvoyage-ai/gtm-engineer-skills | 1.3k | — | ~4.3k | Automated safety check: Pass | MIT |
Similar skills
SEO Profound
AgriciDaniel/claude-seo
Profound LLM citation tracker (extension). An agent skill from AgriciDaniel/claude-seo.
Aeo
alirezarezvani/claude-skills
Answer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources.
Nuxt Geo Best Practices
vinayakkulkarni/nxui
Nuxt GEO (Generative Engine Optimization) guidelines for getting cited by ChatGPT, Perplexity, Claude, Google AI Overviews, and Gemini.
Create Geo Charts
onvoyage-ai/gtm-engineer-skills
Creates data visualizations (charts, graphs, tables) optimized for AI engine parsing and citation.
Treg
superdesigndev/treg
People and company enrichment, AEO and SEO, ads, social, web scraping, image and video generation through the treg connector.
More from yaojingang/GEOHub
All 9 skills in this repoGeo Site Diagnose
yaojingang/GEOHub
Crawl one public website from a supplied URL, select up to ten representative page types, score evidence-lined GEO readiness, and generate a standalone visual HTML report.
Geo
yaojingang/GEOHub
Route GEO and generative engine optimization requests to an available GEOHub capability.
Geo Content
yaojingang/GEOHub
Create evidence-lined GEO titles, explainers, neutral comparisons, method-backed rankings, page blueprints, refinements, and article-friendly Markdown.
Geo Diagnose
yaojingang/GEOHub
Diagnose a brand, website, or page for evidence-backed GEO gaps and opportunities from user-supplied URLs, HTML, or evidence.
Geo Discover
yaojingang/GEOHub
Discover evidence-aware GEO questions, query rewrites, intent clusters, and prioritized content opportunities from a structured brief.
Geo Knowledge
yaojingang/GEOHub
Build and query an evidence-lined GEO knowledge graph from approved source bundles.
Related
Works with
Questions about Geo Measure
What does Geo Measure do?
Measure GEO visibility from an approved, file-backed engine observation bundle. Geo Measure is an agent skill from yaojingang/GEOHub. Measure GEO visibility from an approved, file-backed engine observation bundle.
When should I use Geo Measure?
Geo Measure fits situations like: AI answer mention rate; source inclusion; query-panel coverage; offline baseline comparison.
How do I install Geo Measure in Claude Code?
Run `npx skills add yaojingang/GEOHub --skill geo-measure -a claude-code`. Or copy the skill folder (skills/geo-measure in yaojingang/GEOHub) into .claude/skills/geo-measure in your project. Claude Code loads it when a task matches its description.
How do I install Geo Measure in Codex?
Run `npx skills add yaojingang/GEOHub --skill geo-measure -a codex`. Or copy the skill folder (skills/geo-measure in yaojingang/GEOHub) into .agents/skills/geo-measure in your project. Codex loads it when a task matches its description.
Can I use Geo Measure in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add yaojingang/GEOHub --skill geo-measure -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/geo-measure, .gemini/skills/geo-measure, .github/skills/geo-measure and .opencode/skills/geo-measure in your project.
What does Geo Measure need to run?
Going by SKILL.md and its folder, Geo Measure needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Geo Measure access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Geo Measure safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Geo Measure use?
Geo Measure is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Geo Measure use?
About 348 tokens (SKILL.md is roughly 1.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 644 tokens, read only when the agent opens those files.
What are the alternatives to Geo Measure?
Skills that share tags, products or a category with Geo Measure: AI Search Visibility Audit (davepoon/buildwithclaude, 3.6k stars), SEO Profound (AgriciDaniel/claude-seo, 19k stars), Aeo (alirezarezvani/claude-skills, 28k stars) and Nuxt Geo Best Practices (vinayakkulkarni/nxui, 212 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Geo Measure?
yaojingang (a GitHub user) maintains it in yaojingang/GEOHub, which has 165 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on August 31, 2026.
Source: yaojingang/GEOHub on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.