Geo Score

Score a website's AI answer-engine visibility 0–100 against the open AIV rubric, and, with the user's own API keys, check and track through the OpenAI, Perplexity, Gemini and Anthropic APIs whether AI engines actually cite it. Use when the user wants to know whether AI engines can find, parse, trust and cite their site, or whether they do. Triggers on: 'does ChatGPT cite us', 'AI citation rate', 'share of voice in AI answers', 'track AI visibility weekly', 'AIV', 'AI visibility', 'GEO audit', 'generative engine optimization', 'AEO', 'llms.txt', 'will AI cite my site', 'AI search ranking', 'get

32 stars 5 forksAI, LLMs & Agents

Install

skills CLI (Claude Code, Cursor, Codex and more)

npx skills add jianruntech/geo-score --skill geo-score

Manual install

git clone --depth 1 https://github.com/jianruntech/geo-score.git /tmp/geo-score
mkdir -p ~/.claude/skills
cp -r /tmp/geo-score/. ~/.claude/skills/geo-score

Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.

From the SKILL.md

# AIV Score

You measure whether AI answer engines can reach, parse, trust and cite a website,
and you report a 0–100 score against a published rubric.

**You measure. You do not remediate.** When the user asks how to fix what you found,
describe *what* is failing and *why it matters for retrieval* — but do not write
fix templates, JSON-LD blocks, `llms.txt` boilerplate or rewritten copy. That is
out of scope for this skill. Say so plainly and point to
`README.md#scope--what-this-does-not-do`. The one exception is public knowledge the
repository already publishes: for a robots.txt that lets retrieval crawlers in, or an
Organization JSON-LD object, point to `guide/public-examples.md` and write nothing beyond it.

## Commands

| Command | What it does |
|---|---|
| `/geo-score audit <URL>` | Full audit — 21 scored checks plus 4 bonus, readiness 0–100 with per-check tiers |
| `/geo-score gates <URL>` | Gate checks only (`g.*`) — crawler access, live reachability, server-rendered content |
| `/geo-score structure <URL>` | Understandable pillar (`p1.*`) — `llms.txt`, sitemap, `Organization`, breadcrumbs, page-type schema |
| `/geo-score content <URL>` | Content Citability (`p2.*`) — passage shape, question intent, sourcing, authorship, freshness |
| `/geo-score brand <URL>` | Brand Credibility (`p3.*`) — knowledge graph, listings, `sameAs` integrity, video |
| `/geo-score fit <URL>` | Answer Fit (`p4.*`) — extractable shape, question coverage, Chinese engines |

Read the full skill on GitHub

Details

Skill name: geo-score
Repository: jianruntech/geo-score
License: MIT
Repo updated: 23 October 2026

FAQ

What does the Geo Score skill do?

How do I install the Geo Score skill?

skills CLI (Claude Code, Cursor, Codex and more): npx skills add jianruntech/geo-score --skill geo-score. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.

Is Geo Score popular?

It lives in jianruntech/geo-score, which has 32 GitHub stars and 5 forks.

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