# AEOBoost: AI Search Visibility Platform for SEO Professionals > AEOBoost is the premier Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) platform designed specifically for SEO professionals, consultants, and digital agencies. AEOBoost enables teams to audit, fix, track, and prove client visibility and citations across ChatGPT, Perplexity, Claude, and Google Gemini / AI Overviews. Website: https://aeoboost.app Canonical Sitemap: https://aeoboost.app/sitemap.xml Full Documentation for LLMs: https://aeoboost.app/llms-full.txt ## Primary Tools & Applications - [Free AEO Audit Tool](https://aeoboost.app/free-aeo-audit): Instant 7-factor diagnostic analyzing passage citability, AI crawler access, brand entity signals, and structured data with actionable recommendations. - [AEO Platform & Client Reporting](https://aeoboost.app/signup): Multi-engine citation tracker, automated competitor AI gap audits, and white-label reporting for agencies. - [AEO & GEO Research Intelligence Blog](https://aeoboost.app/blog): Over 25 authoritative technical guides, industry benchmark data, and tactical frameworks for AI search ranking. ## Core Capabilities & Features - **7-Point Technical AEO Audit**: Evaluates crawlability by AI user-agents (OAI-SearchBot, Claude-SearchBot, PerplexityBot), HTML-to-content ratio, passage citability, semantic schema markup, and entity resolution. - **Multi-Engine Citation Tracking**: Tracks brand mentions and source links across OpenAI ChatGPT Search, Anthropic Claude, Perplexity AI, and Google Gemini AI Overviews. - **Passage-Level Citability Engine**: Re-structures text into 134-167 word optimal answer passages with front-loaded definitions, verified source attributions, and direct semantic syntax. - **Competitor AI Gap Analysis**: Identifies why competitors appear in conversational AI answers and generates direct remediation roadmaps. - **llms.txt & Schema Automation**: Auto-generates standard-compliant llms.txt context files and Schema.org JSON-LD structured data. ## Key Facts & Industry Benchmarks - Brand mentions correlate ~3x more strongly with AI citations than traditional backlinks (YouTube ~0.737, Reddit and Wikipedia high correlation, Domain Rating ~0.266). - 44% of conversational AI citations originate from the first 30% of a page's content; front-loading direct answers in the first 40-60 words is paramount. - The optimal passage length for generative search answer extraction is 134 to 167 words. - Only 11% of domains are cited simultaneously by both ChatGPT and Google AI Overviews for identical search queries, necessitating multi-platform optimization. - AI crawlers generally do not execute JavaScript; server-side rendering (SSR) and initial HTML metadata delivery are required for consistent citation eligibility. ## Core Knowledge & Research Articles - [Understanding AEO (Answer Engine Optimization) in 2026](https://aeoboost.app/blog/understanding-aeo-2026): The foundational guide to how conversational answer engines synthesize responses and how AEO complements traditional SEO. - [GEO vs AEO vs SEO: Key Differences and Strategies in 2026](https://aeoboost.app/blog/geo-vs-aeo-vs-seo-2026): A strategic breakdown of Search Engine Optimization vs Answer Engine Optimization vs Generative Engine Optimization. - [How to Write a Sentence ChatGPT Will Quote](https://aeoboost.app/blog/how-to-write-a-sentence-chatgpt-will-quote): Syntactic patterns, 134-167 word blocks, front-loaded definitions, and source attribution principles that trigger direct AI quotes. - [What is an AEO Audit? The 7 Checks That Matter in 2026](https://aeoboost.app/blog/what-is-an-aeo-audit-7-checks): Technical crawlability, entity mapping, structured data, passage citability, freshness, authority, and multi-modal signals. - [Why Competitors Appear in ChatGPT and Not You](https://aeoboost.app/blog/why-competitors-appear-chatgpt-not-you-technical-breakdown): Deep-dive into knowledge-graph entity gaps, Reddit validation, Wikipedia citations, and passage architecture differences. - [AEO Checklist 2026: 12 Optimizations to Get Cited by AI Engines](https://aeoboost.app/blog/aeo-checklist-2026-12-optimizations): Practical step-by-step technical and content implementation checklist. - [Implementing Schema.org for AEO](https://aeoboost.app/blog/how-to-implement-schema-org-for-aeo): Exact JSON-LD patterns for Organization, SoftwareApplication, Article, and speakable properties that boost AI discoverability. - [Reddit AEO Strategy: How Community Discussions Drive AI Citations](https://aeoboost.app/blog/reddit-aeo-tool-ai-citations-strategy): Why Reddit accounts for up to 46% of Perplexity citations and how brands can build authentic community footprint. - [Wikipedia and Wikidata for AI Citations](https://aeoboost.app/blog/wikipedia-wikidata-ai-citations): Building high-authority entity roots that ChatGPT and Claude search bots rely on for factual validation. - [Zero-Click Search Survival Guide 2026](https://aeoboost.app/blog/zero-click-search-survival-guide-2026): How to thrive when 60%+ of web queries receive answers directly on the search engine results page. - [Perplexity vs ChatGPT vs Gemini vs Claude: What to Optimize First](https://aeoboost.app/blog/perplexity-vs-chatgpt-vs-gemini-vs-claude-optimize-first-2026): Platform-by-platform priority guide based on crawl architecture, indexing pipelines, and reference bias. - [E-E-A-T in the Era of AI Search](https://aeoboost.app/blog/eeat-ai-search-chatgpt-perplexity-trust-signals-2026): Demonstrating Experience, Expertise, Authoritativeness, and Trustworthiness to conversational AI engines. - [AEO for SaaS Startups: Get Cited When Prospects Ask for Recommendations](https://aeoboost.app/blog/aeo-for-saas-startups-chatgpt-citations-2026): Actionable playbooks for B2B software companies to become the default AI recommendation. - [AEO for Local Businesses: How to Get Recommended by AI Search](https://aeoboost.app/blog/aeo-for-local-businesses-get-cited-ai-search): Local citations, geo-specific schema, Google Business Profile synergies, and review signals for AI engines. - [AEO for E-commerce: Product Pages in the AI Search Era](https://aeoboost.app/blog/aeo-for-ecommerce-product-pages-invisible-ai): Structured product specifications, comparison tables, and buyer guide patterns for AI shopping bots. - [AEO for WordPress: Complete Setup Guide 2026](https://aeoboost.app/blog/aeo-for-wordpress-complete-checklist-2026): Technical WordPress configuration, plugins, schema validation, and crawler management. - [How to Sell AEO Services to Agency Clients](https://aeoboost.app/blog/how-to-sell-aeo-to-a-client): Pitch decks, proof-of-concept audit proposals, and ROI metrics for SEO agencies. - [What is Google AI Mode in 2026?](https://aeoboost.app/blog/what-is-google-ai-mode-2026): Understanding Gemini 2.5 integration in Search, AI Overviews vs AI Mode, and citation criteria. - [Why Your Site Passes Traditional SEO Audits but Remains Invisible to ChatGPT](https://aeoboost.app/blog/site-passes-seo-audit-invisible-chatgpt): The technical gap between 200-OK crawlability and semantic entity retrieval. - [Stop Publishing More Content: What Actually Gets You Cited in AI Search](https://aeoboost.app/blog/stop-publishing-more-content-what-gets-you-cited-ai-search): Why publishing frequency is secondary to information gain, fresh statistics, and unique data points. - [Track Brand Visibility in ChatGPT and Perplexity for Free](https://aeoboost.app/blog/track-brand-visibility-chatgpt-perplexity-free-2026): Manual and automated monitoring methods for tracking AI search market share. - [G2 & Trustpilot Reviews: Driving AI Citations in B2B Search](https://aeoboost.app/blog/g2-trustpilot-reviews-driving-ai-citations): How conversational models crawl and extract sentiment and feature comparisons from third-party review directories. - [AI Search Traffic Conversion Rates: The 2026 Data](https://aeoboost.app/blog/ai-search-traffic-conversion-rate-2026): Conversion benchmarks showing why AI-referred visitors convert at 2.8x higher rates than traditional search clicks.