git:20260704.5864e41 to git:20260825.cd5f782

2 added, 3 removed. Audit B to B.

---

ownerAgent: e064dca9e1bd

name: geo-score

- description_zh: "从 seo-crawl 数据算 GEO（生成式引擎优化）得分：Citability/结构可读/多模态/权威&品牌/技术可达 5 维加权，给实体解析状态（recognized/partial/unrecognized）与分级建议；与 SEO 健康分分开呈现；适合\"算一下这页的 GEO 分\"\"AI 引擎能不能引用这页\"；触发词：GEO、AI 引用、可引用性、实体解析、生成式引擎、AI 可见性"

- description_en: "Compute a GEO (Generative Engine Optimization) score from seo-crawl data: a 5-dimension weighted score (Citability/Structure/Multimodal/Authority&Brand/Technical-access), an entity-resolution status (recognized/partial/unrecognized), and ranked recommendations; reported separately from SEO health; For: 'score this page's GEO', 'can AI engines cite this page'; Triggers: GEO, AI citation, citability, entity resolution, generative engine, AI visibility"

- category: data

+ description_zh: "从 seo-crawl 数据计算 GEO 就绪度，覆盖可引用性、结构、多模态、权威与品牌、技术可达五个维度，并给出实体解析状态和分级建议；用于判断页面是否便于 AI 引用，结果与 SEO 健康分分开呈现。"

+ description_en: "Compute a five-dimension GEO readiness score from seo-crawl data covering citability, structure, multimodal, authority and brand, technical access, entity resolution, and ranked recommendations. Use to assess whether a page is ready for AI citation; report separately from SEO health."

---

# geo-score

Score how citable/ready a page is for AI answer engines, from crawl facts. Pure analysis — no network, no model calls. Deterministic so it is drift-comparable.

## When to use

- The diagnose flow wants a GEO score + GEO recommendations alongside the SEO audit.

- A geo-only pass focused on AI-citation readiness.

## When NOT to use

- Measuring whether models *actually* cite the site (real visibility) — that needs probing models, not on-page scoring (see the probe step the agent runs).

- Technical SEO health — that is `seo-tech-audit`.

## Preconditions

- A `seo-crawl` JSON (uses first_paragraph, headings, images/alt, structured_data + sameAs, indexability, https, word_count, and site robots.txt). Python 3.9+ stdlib only.

## How to call

```

"$ORKAS_NODE" "$ORKAS_PC_DIR/bin/run-skill.cjs" geo-score geo_score -- --input <crawl.json> [--out <geo.json>]

```

## Expected output

```json

{ "ok": true, "data": {

"geo_score": 92,

"geo_dimensions": { "citability": 100, "structure": 100, "multimodal": 100, "authority": 100, "technical": 100 },

"entity_status": "recognized",

"geo_recommendations": [ { "dimension": "geo:authority", "title": "...", "evidence": "...",

"recommendation": "...", "leading_indicator": "...",

"failure_criterion": "...", "data_tier": "Estimated" } ],

"meta": { "url": "...", "entity_status": "recognized" } } }

```

Pass to `seo-report --geo <geo.json>` — it shows the GEO score + dimension chart and a GEO section in the action plan, kept separate from the SEO health score. Failure: `{"ok": false, "error": "..."}`, non-zero exit.

## Scoring

Weighted: Citability 25% · Structure 20% · Multimodal 15% · Authority&Brand 20% · Technical-access 20%. Signals: answer-first opening, heading hierarchy, image alt coverage, Organization JSON-LD + `sameAs` (entity resolution), outbound citations, indexability, HTTPS, raw-HTML content, AI-crawler reachability in robots.txt.