--- name: geo-aeo-optimization description: Optimize content for AI search engines (ChatGPT, Perplexity, Claude, Gemini) and featured snippets. Covers Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), E-E-A-T signals, and content structuring for maximum AI citation probability. Use when optimizing content for AI visibility or auditing AI search readiness. license: MIT metadata: author: Schwepps version: "1.0.0" category: marketing tags: geo, aeo, ai-search, chatgpt, perplexity, featured-snippets --- # GEO & AEO Optimization Framework Professional methodology for visibility in AI-powered search engines and generative AI responses. ## Understanding GEO vs AEO vs SEO ``` SEO → Rank in traditional search results (blue links) AEO → Appear in featured snippets, AI Overviews, voice answers GEO → Get cited in generative AI responses (ChatGPT, Claude, Perplexity) ``` **2025 Reality:** - 58% of queries are conversational - AI Overviews appear in ~47% of Google searches - Traditional CTR dropped 34.5% for top results due to AI answers - These strategies are complementary, not competing ## When to Use This Skill - Optimizing content for AI search engines - Improving featured snippet capture rate - Auditing AI citation readiness - Restructuring content for AI extractability - Implementing E-E-A-T signals - Preparing for voice search ## The Triple-Threat Framework ### 1. E-E-A-T Foundation (Required for All) AI systems prioritize trusted, authoritative sources: ``` Experience → First-hand knowledge, case studies, original research Expertise → Credentials, depth of knowledge, technical accuracy Authority → Citations, backlinks, mentions, brand recognition Trustworthiness → Accuracy, transparency, clear sourcing ``` **Implementation Checklist:** ``` □ Author bio with credentials on every article □ Link to authoritative sources □ Include original data/research □ Show methodology and sources □ Update content regularly with visible dates □ Display contact information □ Include editorial guidelines ``` ### 2. AEO: Featured Snippets & AI Overviews **Lead with the Answer:** - First 40-60 words should directly answer the query - Use question-format H2 headers - Provide concise, extractable definitions **Content Structure for AEO:** ```markdown ## What is [Topic]? [Direct answer in 1-2 sentences that can be extracted as a snippet] [Supporting details and context follow] ``` **Snippet-Optimized Formats:** | Query Type | Best Format | |------------|-------------| | "What is X?" | Definition paragraph (40-60 words) | | "How to X" | Numbered steps (5-8 steps) | | "Best X" | Bulleted list with brief descriptions | | "X vs Y" | Comparison table | | "Why X?" | Direct answer + explanation | ### 3. GEO: AI Citation Optimization **The CRASP Framework:** ``` C - Clarity → Unambiguous statements AI can quote R - Relevance → Match conversational query intent A - Authority → Cited sources, expert credentials S - Structure → Scannable, extractable format P - Precision → Specific facts, numbers, dates ``` **High-Citation Content Elements:** 1. **TL;DR blocks** at the top 2. **Statistics with sources** ("According to [Source], X increased by Y%") 3. **Expert quotes with attribution** 4. **Definition lists** for key terms 5. **Comparison tables** with clear data 6. **FAQ sections** with complete answers ## Content Structure Template ```markdown # [H1: Primary Question or Topic] **TL;DR:** [2-3 sentence summary with key facts] ## What is [Topic]? {#definition} [Direct definition in 40-60 words - optimized for extraction] [Expanded explanation with context] ## How [Topic] Works {#how-it-works} [Step-by-step explanation] 1. **Step One**: [Description] 2. **Step Two**: [Description] 3. **Step Three**: [Description] ## Key Statistics | Metric | Value | Source | |--------|-------|--------| | [Stat 1] | [Value] | [Source, Year] | | [Stat 2] | [Value] | [Source, Year] | ## [Topic] vs [Alternative] | Factor | [Topic] | [Alternative] | |--------|---------|---------------| | [Factor 1] | [Value] | [Value] | | [Factor 2] | [Value] | [Value] | ## Frequently Asked Questions ### [Question 1]? [Complete, standalone answer - 50-100 words] ### [Question 2]? [Complete, standalone answer - 50-100 words] ## Expert Insights > "[Quotable statement with specific insight]" > — [Expert Name], [Title], [Organization] --- *Last updated: [Date] | Author: [Name], [Credentials]* ``` ## Fact-Density Checklist ``` Extractability: □ TL;DR or summary present at top □ Paragraphs <120 words each □ Clear topic sentences (first sentence = main point) □ Bullet lists for features/benefits □ Tables for comparisons □ FAQ section with schema Fact-Density: □ Statistics with sources cited □ Specific numbers and dates □ Verifiable data points □ Expert quotes with attribution □ Original research/data □ Named entities (people, companies, places) Structure for AI: □ Question-based H2 headers □ Direct answers in first 40-60 words □ Logical information hierarchy □ Schema markup (FAQPage, HowTo, Article) ``` ## AI Crawler Configuration **robots.txt for AI Search Visibility:** ``` # ALLOW search/chat features User-agent: OAI-SearchBot Allow: / User-agent: ChatGPT-User Allow: / User-agent: PerplexityBot Allow: / User-agent: ClaudeBot Allow: / # OPTIONAL: Block training (keeps search) User-agent: GPTBot Disallow: / User-agent: Google-Extended Disallow: / ``` **Critical:** Ensure server-side rendering. AI crawlers often don't execute JavaScript well. ## Schema Markup for AI **Priority Schema Types:** 1. **FAQPage** - Highest AI citation impact 2. **HowTo** - Step-by-step visibility 3. **Article + Author** - E-E-A-T signals 4. **Organization** - Brand authority **FAQPage Example:** ```json { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "What is [topic]?", "acceptedAnswer": { "@type": "Answer", "text": "[Complete answer that can be extracted]" } }] } ``` ## Output Format ```markdown # GEO/AEO Audit Report **Page:** [URL] **Date:** [Date] **Overall Score:** X/100 ## Executive Summary [2-3 sentence AI search readiness assessment] ## Scores by Category | Category | Score | Status | |----------|-------|--------| | E-E-A-T Signals | X/25 | [Good/Needs Work/Critical] | | Content Structure | X/20 | [Good/Needs Work/Critical] | | Fact-Density | X/20 | [Good/Needs Work/Critical] | | Extractability | X/20 | [Good/Needs Work/Critical] | | AI Technical Readiness | X/15 | [Good/Needs Work/Critical] | ## Priority Issues 1. **[Issue]** - [Impact] - [Fix] 2. **[Issue]** - [Impact] - [Fix] 3. **[Issue]** - [Impact] - [Fix] ## AI Visibility Assessment [Current citation probability and gaps] ## Action Plan **Immediate:** - [ ] Add TL;DR to top articles - [ ] Implement FAQ schema **Short-term:** - [ ] Restructure headers as questions - [ ] Add author credentials **Ongoing:** - [ ] Monitor AI platform citations - [ ] Update content freshness ``` ## Quick Audit (5-Point Check) 1. **TL;DR** - Summary present at top? 2. **Structure** - Question-based headers? 3. **Facts** - Statistics with sources? 4. **E-E-A-T** - Author credentials visible? 5. **Schema** - FAQPage/HowTo markup? ## Scoring Guide - **90-100:** Excellent - High AI citation probability - **70-89:** Good - Likely cited with minor improvements - **50-69:** Needs Work - Significant optimization needed - **Below 50:** Critical - Major restructuring required