blog-geo

AI citation readiness audit as part of SEO, covering classic Google search and AI search surfaces together. Use whenever the user wants their content to rank or be cited in ChatGPT, Perplexity, Claude, Gemini, Copilot, You.com, Google AI Overviews, or Google AI Mode. AI citation optimization audit scoring blog posts for major answer surfaces. Evaluates passage-level citability, Q&A formatting, entity clarity, structured data, and AI crawler accessibility. Generates citation capsules and a 0-100 AI Citation Readiness score. Use when user says "geo", "ai citation", "ai optimization", "citation audit", "aeo", "perplexity optimization", "chatgpt citation".

Quality

88%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

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Securityby

Low

Low-risk findings worth noting

Quality

Content

77%

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

A well-sequenced, actionable audit skill with concrete commands, scoring tables, and a complete report template. It is weakest on conciseness (a dated claim embedded in the main flow) and progressive disclosure (no bundle files; methodology kept inline).

Suggestions

Move the dated 'Google's 2026-05-15 guidance' note and the legacy overall_probability alias into a clearly marked 'Deprecations / prior guidance' section so the main workflow stays time-insensitive.

Extract the per-platform analysis (Steps 7) and the 0-100 scoring map into a references/ file (e.g. references/scoring.md), keeping SKILL.md as an overview that links one level deep.

Trim the intro paragraph that re-states the description's surfaces and score definition to reduce repetition with the frontmatter.

Dimension	Reasoning	Score
Conciseness	Mostly efficient scoring tables and a copy-paste report template, but a time-sensitive dated claim ('Google's 2026-05-15 guidance') sits in the main body rather than a deprecated/old-patterns section, and the intro repeats material already in the description.	2 / 3
Actionability	Provides executable commands ('python3 scripts/ai_citation_score.py <file> --format markdown', GSC run.py invocations), explicit point/percentage scoring thresholds, and a complete copy-paste report template, giving concrete ready-to-run guidance.	3 / 3
Workflow Clarity	A clearly sequenced Step 1-10 audit process with an Evidence Discipline guardrail and explicit skip/validation reporting ('SKIPPED: credentials unavailable') that acts as a checkpoint, matching the clear-sequence-with-validation anchor.	3 / 3
Progressive Disclosure	References are signaled and one-level deep (flow-alignment.md, external scripts), but no references/scripts/assets bundle exists and the full scoring methodology and platform analysis are inline rather than split into a separate reference file.	2 / 3
	Total	10 / 12 Passed

Description

100%

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, third-person description that states concrete audit actions, names specific answer surfaces, and provides explicit trigger guidance with natural user terms. It cleanly answers both what the skill does and when to invoke it.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions: 'Evaluates evidence-backed citability, purpose clarity, entity clarity, structured data, and AI crawler accessibility' and 'Suggests evidence-backed explanations and a 0-100 AI Citation Readiness score', matching the multi-action anchor rather than the single-domain level 2.	3 / 3
Completeness	Explicitly answers both what (the audit and its dimensions) and when via two explicit trigger clauses ('Use whenever the user wants their content to rank or be cited...' and 'Use when user says...'), satisfying the what-AND-when anchor.	3 / 3
Trigger Term Quality	Covers natural terms users would say ('geo', 'ai citation', 'ai optimization', 'citation audit', 'aeo', 'perplexity optimization', 'chatgpt citation') plus named surfaces (ChatGPT, Perplexity, Claude, Gemini, Copilot, You.com, Google AI Overviews), giving broad natural coverage.	3 / 3
Distinctiveness Conflict Risk	The AI-citation/GEO audit niche with platform-specific triggers and named answer surfaces is clearly distinguishable from generic SEO skills and unlikely to fire for the wrong skill.	3 / 3
	Total	12 / 12 Passed

Validation

87%

Warnings & errors only

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

Validation — 14 / 16 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning
referenced_paths_exist	Referenced path issues: 1 missing	Warning

	Total	14 / 16 Passed

Repository: AgriciDaniel/claude-blog
Path: brain/.raw/sources/claude-blog-skill/skills/blog-geo/SKILL.md
Commit: aec971a

Reviewed: about 13 hours ago

Table of Contents

Discovery Implementation Validation

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