geo-optimization

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• SKILL.md
• SKILL.zh-CN.md

SKILL.md (first lines)

# GEO / Answer-Engine Optimization

Start from a user question, product fact, and evidence source. GEO is a content and information-quality layer on top of sound SEO, not a substitute for it.

## Survey

1. Build a question set from customer research, search queries, support, communities, comparisons, and buying objections.
2. Identify which existing pages answer each question and where competitors or third-party sources currently provide stronger evidence.
3. Classify gaps: missing answer, vague answer, unsupported claim, stale fact, weak comparison, poor source clarity, or inaccessible content.

## Implement

- put direct, useful answers near the relevant question without writing for robots;
- use descriptive headings, definitions, examples, tables, steps, constraints, and comparisons when they genuinely improve comprehension;
- attach important claims to first-party evidence or reliable external sources;
- keep product facts, pricing, availability, limitations, and docs consistent across pages;
- expose useful textual content even when the UI is highly visual;
- create comparison, alternative, integration, use-case, FAQ, docs, or research pages only when the product has real information to add;
- treat `llms.txt`, agent-readable bundles, or other machine-readable files as optional experiments, never as required for Google AI features or as guaranteed citation levers.

## Quality gate

Before publishing, verify factuality, freshness, source support, page intent, indexability, visible-text consistency, and whether the page adds information beyond generic synthesis.

## Measurement

Pair search metrics with `ai-visibility` and downstream qualified visits, activation, revenue, or the agreed business outcome. A mention without business value is not success.

From luxiaolei/AutoSpread, MIT.

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