seo-geo

name seo-geo description Optimize content for AI Overviews, ChatGPT, Perplexity, and other AI search systems. Use when improving GEO, AI citations, llms.txt readiness, crawler accessibility, and passage-level citability. risk unknown source https://github.com/AgriciDaniel/claude-seo date_added 2026-03-21 user-invokable true argument-hint [url] allowed-tools ["Read","Grep","Glob","Bash","WebFetch"] AI Search / GEO Optimization (February 2026) When to Use Use when improving visibility in AI Overviews, ChatGPT, Perplexity, or similar AI search systems. Use when evaluating llms.txt readiness, AI crawler access, or citation-oriented content structure. Use when the user asks about GEO, AI SEO, LLM visibility, or AI citations. Key Statistics Metric Value Source AI Overviews reach 1.5 billion users/month across 200+ countries Google AI Overviews query coverage 50%+ of all queries Industry data AI-referred sessions growth 527% (Jan-May 2025) SparkToro ChatGPT weekly active users 900 million OpenAI Perplexity monthly queries 500+ million Perplexity Critical Insight: Brand Mentions > Backlinks Brand mentions correlate 3x more strongly with AI visibility than backlinks. (Ahrefs December 2025 study of 75,000 brands) Signal Correlation with AI Citations YouTube mentions ~0.737 (strongest) Reddit mentions High Wikipedia presence High LinkedIn presence Moderate Domain Rating (backlinks) ~0.266 (weak) Only 11% of domains are cited by both ChatGPT and Google AI Overviews for the same query, so platform-specific optimization is essential. GEO Analysis Criteria (Updated) 1. Citability Score (25%) Optimal passage length: 134-167 words for AI citation. Strong signals: Clear, quotable sentences with specific facts/statistics Self-contained answer blocks (can be extracted without context) Direct answer in first 40-60 words of section Claims attributed with specific sources Definitions following "X is..." or "X refers to..." patterns Unique data points not found elsewhere Weak signals: Vague, general statements Opinion without evidence Buried conclusions No specific data points 2. Structural Readability (20%) 92% of AI Overview citations come from top-10 ranking pages , but 47% come from pages ranking below position 5, demonstrating different selection logic. Strong signals: Clean H1->H2->H3 heading hierarchy Question-based headings (matches query patterns) Short paragraphs (2-4 sentences) Tables for comparative data Ordered/unordered lists for step-by-step or multi-item content FAQ sections with clear Q&A format Weak signals: Wall of text with no structure Inconsistent heading hierarchy No lists or tables Information buried in paragraphs 3. Multi-Modal Content (15%) Content with multi-modal elements sees 156% higher selection rates . Check for: Text + relevant images Video content (embedded or linked) Infographics and charts Interactive elements (calculators, tools) Structured data supporting media 4. Authority & Brand Signals (20%) Strong signals: Author byline with credentials Publication date and last-updated date Citations to primary sources (studies, official docs, data) Organization credentials and affiliations Expert quotes with attribution Entity presence in Wikipedia, Wikidata Mentions on Reddit, YouTube, LinkedIn Weak signals: Anonymous authorship No dates No sources cited No brand presence across platforms 5. Technical Accessibility (20%) AI crawlers do NOT execute JavaScript. Server-side rendering is critical. Check for: Server-side rendering (SSR) vs client-only content AI crawler access in robots.txt llms.txt file presence and configuration RSL 1.0 licensing terms AI Crawler Detection Check robots.txt for these AI crawlers: Crawler Owner Purpose GPTBot OpenAI ChatGPT web search OAI-SearchBot OpenAI OpenAI search features ChatGPT-User OpenAI ChatGPT browsing ClaudeBot Anthropic Claude web features PerplexityBot Perplexity Perplexity AI search CCBot Common Crawl Training data (often blocked) anthropic-ai Anthropic Claude training Bytespider ByteDance TikTok/Douyin AI cohere-ai Cohere Cohere models Recommendation: Allow GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot for AI search visibility. Block CCBot and training crawlers if desired. llms.txt Standard The emerging llms.txt standard provides AI crawlers with structured content guidance. Location: /llms.txt (root of domain) Format: # Title of site > Brief description ## Main sections - `Page title -> https://example.com/page`: Description - `Another page -> https://example.com/another-page`: Description ## Optional: Key facts - Fact 1 - Fact 2 Check for: Presence of /llms.txt Structured content guidance Key page highlights Contact/authority information RSL 1.0 (Really Simple Licensing) New standard (December 2025) for machine-readable AI licensing terms. Backed by: Reddit, Yahoo, Medium, Quora, Cloudflare, Akamai, Creative Commons Check for: RSL implementation and appropriate licensing terms. Platform-Specific Optimization Platform Key Citation Sources Optimization Focus Google AI Overviews Top-10 ranking pages (92%) Traditional SEO + passage optimization ChatGPT Wikipedia (47.9%), Reddit (11.3%) Entity presence, authoritative sources Perplexity Reddit (46.7%), Wikipedia Community validation, discussions Bing Copilot Bing index, authoritative sites Bing SEO, IndexNow Output Generate GEO-ANALYSIS.md with: GEO Readiness Score: XX/100 Platform breakdown (Google AIO, ChatGPT, Perplexity scores) AI Crawler Access Status (which crawlers allowed/blocked) llms.txt Status (present, missing, recommendations) Brand Mention Analysis (presence on Wikipedia, Reddit, YouTube, LinkedIn) Passage-Level Citability (optimal 134-167 word blocks identified) Server-Side Rendering Check (JavaScript dependency analysis) Top 5 Highest-Impact Changes Schema Recommendations (for AI discoverability) Content Reformatting Suggestions (specific passages to rewrite) Quick Wins Add "What is [topic]?" definition in first 60 words Create 134-167 word self-contained answer blocks Add question-based H2/H3 headings Include specific statistics with sources Add publication/update dates Implement Person schema for authors Allow key AI crawlers in robots.txt Medium Effort Create /llms.txt file Add author bio with credentials + Wikipedia/LinkedIn links Ensure server-side rendering for key content Build entity presence on Reddit, YouTube Add comparison tables with data Implement FAQ sections (structured, not schema for commercial sites) High Impact Create original research/surveys (unique citability) Build Wikipedia presence for brand/key people Establish YouTube channel with content mentions Implement comprehensive entity linking (sameAs across platforms) Develop unique tools or calculators DataForSEO Integration (Optional) If DataForSEO MCP tools are available, use ai_optimization_chat_gpt_scraper to check what ChatGPT web search returns for target queries (real GEO visibility check) and ai_opt_llm_ment_search with ai_opt_llm_ment_top_domains for LLM mention tracking across AI platforms. Error Handling Scenario Action URL unreachable (DNS failure, connection refused) Report the error clearly. Do not guess site content. Suggest the user verify the URL and try again. AI crawlers blocked by robots.txt Report exactly which crawlers are blocked and which are allowed. Provide specific robots.txt directives to add for enabling AI search visibility. No llms.txt found Note the absence and provide a ready-to-use llms.txt template based on the site's content structure. No structured data detected Report the gap and provide specific schema recommendations (Article, Organization, Person) for improving AI discoverability. Limitations Use this skill only when the task clearly matches the scope described above. Do not treat the output as a substitute for environment-specific validation, testing, or expert review. Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.