← ClaudeAtlas

geo-scorelisted

Score a website's AI answer-engine visibility 0–100 against the open AIV rubric. Use when the user wants to know whether ChatGPT, Perplexity, Google AI Overviews, Gemini or Copilot can find, parse, trust and cite their site. Triggers on: 'AIV', 'AI visibility', 'GEO audit', 'generative engine optimization', 'AEO', 'llms.txt', 'will AI cite my site', 'AI search ranking', 'get cited by ChatGPT'.
jianruntech/geo-score · ★ 0 · AI & Automation · score 75
Install: claude install-skill jianruntech/geo-score
# 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`. ## 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 | | `/geo-score rubric` | Print the current rubric with weights and pass conditions | ## The rubric The scoring specification lives in [`rubric/v1.1.md`](rubric/v1.1.md). **Read it before scoring.** Do not score from memory and do not invent