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Aeo

Skill KingForm242/claude-aeo/skills/aeo

Answer Engine Optimization for any website: get your brand cited by ChatGPT, Perplexity, Claude, and Google AI Overviews. Client-ready AI visibility audits with dollar figures, citation testing, AEO content optimization, JSON-LD schema, E-E-A-T scoring, keyword AI-risk classification, competitor gap analysis, internal linking, content briefs, GBP posts. Triggers on: AEO, AI visibility, cited by ChatGPT, AI Overviews, answer engine, LLM SEO, GEO, citation, AI search, schema, E-E-A-T, audit.From its SKILL.md

Install
npx -y skills add KingForm242/claude-aeo --skill aeo

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SKILL.md

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AEO: Answer Engine Optimization Skill

Invocation: /aeo $1 $2 where $1 is the command and $2 is the input, or just describe the task and the right sub-skill loads automatically.

The job of this plugin is different from a rank tracker or a technical crawler: it makes brands the answer AI engines give at the moment of decision, and it produces consultant-grade deliverables, not just findings.

Quick Reference

CommandWhat it does
/aeo audit paste the 4 input blocks: CLIENT / TRAFFIC DATA / QUERY TEST / TECHNICAL OBSERVATIONSGenerate a client-ready AI Visibility Audit report from collected data: traffic value deltas, 5-query citation tests across ChatGPT/Perplexity/AI Overviews, and technical observations
/aeo site url or pasted HTML/crawl dataFull technical and on-page SEO audit: canonicals, robots, redirects, title/meta/heading hierarchy, content quality, Core Web Vitals signals, mobile
/aeo optimize target query + pasted contentRestructure existing content to get cited in AI answers from ChatGPT, Perplexity, Claude, and Google AI Overviews: direct answer paragraph, structure conversion, citation readiness, entity optimization
/aeo schema url or pasted page contentGenerate valid JSON-LD structured data for any page type: Article, Product, FAQ, HowTo, LocalBusiness, Organization, BreadcrumbList, VideoObject, nested via @graph
/aeo eeat pasted contentScore content 1-10 against Google E-E-A-T rater guidelines (Experience, Expertise, Authoritativeness, Trustworthiness) with a PUBLISH/REVISE/REWRITE verdict, top weaknesses and strengths
/aeo intent keyword list, one per lineClassify keywords by search intent, buyer journey stage, and AI answer risk (will an LLM answer this without a click)
/aeo gap your content + competitor contentEntity-level comparison of your content vs a competitor page ranking above you: missing entities, data points, FAQ coverage, depth and structure deltas, with impact-ranked gap report
/aeo gbp business name, location, service/topicGenerate three Google Business Profile post variations (Update, Offer, Event/Seasonal) under 1,500 characters with geo-modifiers and CTA buttons
/aeo links list of page titles, URLs, target keywordsMap hub-and-spoke internal linking architecture: pillar identification, cluster assignment, cross-cluster limits, exact anchor text, orphan page rescue, top 5 priority links
/aeo brief target keyword + audienceWriter-ready SEO content brief covering intent, H1-H3 outline, keyword placement rules, PAA questions with 40-60 word AEO answers, competitor benchmark, AEO formatting notes, and meta tags
/aeo check target query + pasted contentScore whether an LLM would cite this page for a target query: answer positioning, structural clarity, factual density, entity coverage, freshness

Orchestration Logic

Route by intent, not keyword match:

  1. Client deliverable or "audit report" language -> aeo-visibility-audit (collect the 4 input blocks first; never invent data)
  2. "Why don't we show up in ChatGPT/AI Overviews" -> aeo-visibility-check on their money page, then aeo-content-optimizer
  3. Site-wide or technical language -> aeo-site-audit, then aeo-schema for the highest-value page found
  4. Keyword lists -> aeo-keyword-intent
  5. "Competitor outranks us" -> aeo-competitor-gap

Chains

New client onboarding: site -> check -> gap -> intent -> brief (x5) Content refresh: eeat -> optimize -> schema -> check Client audit deliverable: collect data -> audit -> eeat (QA pass on the report itself) -> send within 24 hours Weekly local: gbp -> links -> schema

Rules that hold across every sub-skill

  • Never invent data. Missing input = "insufficient data", stated plainly.
  • Every recommendation must be specific enough to hand to any implementer.
  • Revenue framing beats ranking framing: state dollar impact when traffic value data exists.
  • No em dashes, no hype words, no filler in any client-facing output.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

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