aeo
Skill0 starsChanged 4 months agoMITView on GitHub
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.
11 other projects use a version of this.
Adopted by
Most recently taken up by
- darkweb19/skillstheir own version, first seen Nov 8, 2026
- rubenmarcus/agent-skillstheir own version, first seen Nov 1, 2026
- viasrijan/crazy-skillstheir own version, first seen Oct 20, 2026
- elmohq/elmotheir own version, first seen Oct 17, 2026
- Asmadey/aeo-geo-skilltheir own version, first seen Sep 5, 2026
- abouchard11/midnight-seo-skillstheir own version, first seen Aug 31, 2026
Other versions11 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 11
- elmohq/elmo★ 577same name
- Hassaan146/claude-skills★ 18same name
- Hussain-Elfalah/Agentic-Skills★ 2same name
- rubenmarcus/agent-skills★ 2same name
- seekdigital42/aeo-seo-claude★ 2same name
- abouchard11/midnight-seo-skills★ 1same name
- andfrancot-alt/claude-skills★ 0same name
- Asmadey/aeo-geo-skill★ 0same name
- darkweb19/skills★ 0same name
- piiiico/aeo-skill★ 0same name
1 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository11 other files it gives its agents.
- aeo-competitor-gapSkill
- aeo-content-briefSkill
- aeo-content-optimizerSkill
- aeo-eeatSkill
- aeo-gbpSkill
- aeo-internal-linksSkill
- aeo-keyword-intentSkill
- aeo-schemaSkill
- aeo-site-auditSkill
- aeo-visibility-auditSkill
- aeo-visibility-checkSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 3 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 11 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 53
Never invent data. Missing input = "insufficient data", stated plainly.
- Distinctive: line 54
Every recommendation must be specific enough to hand to any implementer.
- Distinctive: line 56
No em dashes, no hype words, no filler in any client-facing output.
“Common” is measured: kept by at least 6 in 10 of the 11 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
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
| Command | What it does |
/aeo audit paste the 4 input blocks: CLIENT / TRAFFIC DATA / QUERY TEST / TECHNICAL OBSERVATIONS | Generate 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 data | Full 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 content | Restructure 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 content | Generate valid JSON-LD structured data for any page type: Article, Product, FAQ, HowTo, LocalBusiness, Organization, BreadcrumbList, VideoObject, nested via @graph |
/aeo eeat pasted content | Score 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 line | Classify keywords by search intent, buyer journey stage, and AI answer risk (will an LLM answer this without a click) |
/aeo gap your content + competitor content | Entity-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/topic | Generate 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 keywords | Map 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 + audience | Writer-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 content | Score 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:
- Client deliverable or "audit report" language -> aeo-visibility-audit (collect the 4 input blocks first; never invent data)
- "Why don't we show up in ChatGPT/AI Overviews" -> aeo-visibility-check on their money page, then aeo-content-optimizer
- Site-wide or technical language -> aeo-site-audit, then aeo-schema for the highest-value page found
- Keyword lists -> aeo-keyword-intent
- "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.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
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- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
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Now do this for your own.
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