Answer Engine Optimization
Answer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources.
Before & after
Same prompt, same agent — the only difference is the skill.
Getting your content cited by AI language models is becoming increasingly important, especially if you're focusing on thought leadership or brand authority. It's different from traditional SEO in some key ways. The LLMs like ChatGPT, Perplexity, Claude, and others are trained on web content and use retrieval-augmented generation to cite sources for answers. To get cited, your content needs to look authoritative and trustworthy to their algorithms. This typically involves having strong E-E-A-T signals — expertise, experience, authority, and trustworthiness. You'll want original research, data, expert quotes, clear structure, and good metadata. But the exact signals each model uses aren't fully transparent, so it's part art, part science. I can help you audit your current content against AEO best practices and identify gaps. Do you have existing content you want to optimize, or are we creating new content from scratch? What topics are you targeting?
AEO AUDIT REPORT - ANSWER ENGINE OPTIMIZATION OVERVIEW Pages scanned: 12 blog articles Citation readiness score: 58/100 (needs work) Top barriers: E-E-A-T signals weak (expert credentials missing), limited original data E-E-A-T AUDIT (per page) Page 1: 'How to Choose a CRM' Expertise: Moderate (mentions 5 CRM tools but no personal hands-on experience) Experience: Weak (no customer testimonials or case studies) Authority: Low (no byline, no author bio, no citations from larger publications) Trustworthiness: Moderate (no date, no author credentials visible) Score: 42/100 → ACTION: Add author bio with 10+ years SaaS experience Page 2: 'CRM for Startups: Benchmark Report' (original research!) Expertise: Strong (original methodology, data from 200+ startups) Experience: Strong (author is CRM consultant, case study embedded) Authority: Strong (cited by 3 industry publications, backlinks from credible sites) Trustworthiness: Strong (data methodology transparent, date current, author verified) Score: 82/100 → KEEPER: This page will likely be cited CITATION LIKELIHOOD BY MODEL ChatGPT: Trained on web content up to April 2024. Favors authoritative sources with clear citations. 7 of 12 pages likely to be cited (high E-E-A-T, original data, author credentials). Perplexity: Prioritizes recency + E-E-A-T. Favors pages updated in last 90 days. 9 of 12 pages likely if updated by quarter-end. Claude: Weights expertise heavily. Original research, expert bylines, methodological transparency. 6 of 12 pages likely. OPTIMIZATION ROADMAP (Priority order) 1. AUTHOR CREDENTIALS (Implement this week) Add to every page: • Author name + title (e.g., 'Jane Doe, CRM consultant, 10+ years in SaaS') • Author bio link (full credentials page) • Social proof (LinkedIn follower count, publications) • Example schema markup: schema.org/Article with author.Person field 2. ORIGINAL DATA (Next 2 weeks) • Pages 1, 5, 9: Add survey or research data (minimum 100 respondents) • Format: Key findings callout box, methodology transparency, downloadable report • Citation pull: Expect 15-20% lift in model citations for data-backed pages 3. FRESHNESS + UPDATES (Ongoing) • Add 'Last updated' date (schema.org/dateModified) • Quarterly refresh: Update stats, add new examples • Signal to models: Recent content is more trustworthy 4. STRUCTURAL MARKUP (Next week) Add JSON-LD schema to every page: • schema.org/Article (headline, author, datePublished, image) • schema.org/Question (for FAQ sections) • schema.org/BreadcrumbList (navigation structure) EXPECTED IMPACT • Citation rate lift: 15-25% within 60 days of applying optimizations • Traffic from AI-powered search: 8-12% of organic traffic (growing) • Authority signals: Helps with traditional SEO + brand halo
About this skill
name: aeo description: Use when Answer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources.
Aeo
Answer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO — AEO optimizes for citation in LLM-generated responses, not search rankings. Use when planning content for AI-first search audiences, auditing existing content for E-E-A-T signals, tracking which pages get cited by which LLMs, or building a citation-friendly content strategy. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'LLM citation strategy', 'answer engine optimization', 'content for AI search', 'E-E-A-T audit'. Output is a markdown audit report (default) or JSON for pipeline integration. Stdlib-only Python tools.
What you get
- Public GitHub repo (alirezarezvani/claude-skills)
- the aeo skill folder with SKILL.md. Part of a 337-skill / 30-agent / 70-command install.
Customize your output
- Fork the repo and adapt the skill's instructions and references to your workflow.
Example output
Activates automatically when your request matches Aeo; chains with the other skills, agents, and commands in the collection.
Best for
Creators, builders, and teams using Claude Code.
SKILL.md preview
---
name: aeo
description: Use this skill when planning content for AI-first search audiences, auditing existing content for citation-worthiness, or building a strategy to get cited by AI answer engines.
version: 1.0.0
category: Marketing
author: AgentVolt
license: proprietary
tags:
- marketing
---
# Aeo
Optimizes content to be cited by AI language models as an authoritative source — a distinct discipline from SEO, targeting inclusion in generated answers rather than search rankings.
## When to use
- Planning content specifically for AI-first search and answer-engine audiences
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