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ai-seo

When the user wants to optimize content for AI search engines, get cited by LLMs, or appear in AI-generated answers. Also use when the user mentions 'AI SEO,' 'AEO,' 'GEO,' 'LLMO,' 'answer engine optimization,' 'generative engine optimization,' 'LLM optimization,' 'AI Overviews,' 'optimize for ChatGPT,' 'optimize for Perplexity,' 'AI citations,' 'AI visibility,' or 'zero-click search.' This skill covers content optimization for AI answer engines, monitoring AI visibility, and getting cited as a source. For traditional technical and on-page SEO audits, see seo-audit. For structured data implementation, see schema-markup.

68

Quality

83%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Passed

No findings from the security scan

The canonical home for this skill is ai-seo in agent-skills-hub/agent-skills-hub

SKILL.md
Quality
Evals
Security

Quality

Content

71%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-structured, information-dense body with good progressive disclosure and a clear audit workflow. The main weakness is moderate redundancy across sections that pushes conciseness down.

Suggestions

Consolidate the 'Common Mistakes' section so it does not restate statistics already presented in the Princeton GEO table and 'Critical stats' list.

Merge the 'Task-Specific Questions' section with the 'Before Starting' gathering-context questions to remove the duplicated ask list.

Add an explicit feedback loop to the AI Visibility Audit (e.g., 'If a priority page fails the extractability check, apply the matching block pattern from content-patterns.md and re-check') to lift workflow clarity toward 5.

DimensionReasoningScore

Conciseness

Mostly efficient and packed with domain-specific data Claude would not reliably know (Princeton GEO percentages, citation shares, platform behaviors), but 'Common Mistakes' reiterates earlier stats and 'Task-Specific Questions' duplicates 'Before Starting' questions, so it could be tightened beyond minor trimming.

3 / 5

Actionability

Provides concrete, executable guidance — a pass/fail extractability checklist, named content block patterns, specific schema types, named AI bots, and named monitoring tools with coverage — but the direction is strategic rather than copy-paste ready, leaving minor gaps.

4 / 5

Workflow Clarity

Clear 4-step audit sequence (Check AI Answers → Analyze Citation Patterns → Content Extractability Check → AI Bot Access) with a pass/fail checklist checkpoint; non-destructive so no validation cap applies, but no explicit fix→retry feedback loop is present.

4 / 5

Progressive Disclosure

Overview lives in SKILL.md while detailed templates go to references/content-patterns.md and per-platform deep dives to references/platform-ranking-factors.md; both referenced files exist, are one level deep, and are clearly signaled with markdown links.

5 / 5

Total

16

/

20

Passed

Description

95%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, well-targeted description with exhaustive trigger-term coverage and explicit what/when framing. The only weakness is that the stated actions are slightly more abstract than the most granular anchor examples.

DimensionReasoningScore

Specificity

Lists several concrete actions ('optimize content for AI search engines, get cited by LLMs', 'monitoring AI visibility, and getting cited as a source'), but the verbs are domain-level rather than granular like the anchor-5 example, leaving minor gaps in coverage.

4 / 5

Completeness

Explicitly answers both 'what' ('covers content optimization for AI answer engines, monitoring AI visibility, and getting cited as a source') and 'when' ('When the user wants to... Also use when the user mentions...') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Comprehensive coverage of natural terms including acronyms and synonyms ('AI SEO,' 'AEO,' 'GEO,' 'LLMO,' 'answer/generative/LLM engine optimization') plus platform-specific phrases ('optimize for ChatGPT/Perplexity,' 'AI Overviews'), matching the anchor-5 example.

5 / 5

Distinctiveness Conflict Risk

Clear niche (AI answer engines) with distinct triggers and explicit boundary guidance ('For traditional... SEO audits, see seo-audit. For structured data... see schema-markup'), minimizing conflict risk with adjacent skills.

5 / 5

Total

19

/

20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 1 suspicious

Warning

Total

15

/

16

Passed

Repository
freekmurze/dotfiles
Reviewed

Table of Contents

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