--- title: Free AI Citation Checker — ChatGPT, Gemini, Claude, Perplexity Visibility Audit | AMZ Global Experts url: https://www.amzglobalexperts.com/tools/ai-citation-checker/ description: Discover how likely AI assistants are to cite your brand. Checks entity recognition (brand, founder, products), knowledge graph signals, citation readiness, and trust signals across ChatGPT, Gemini, Claude & Perplexity. Get your AI Visibility Score, Risk Level & Citation Likelihood free. ---AI SEO Tool — High-Growth Market # AI Citation & Visibility Checker Discover whether ChatGPT, Gemini, Claude & Perplexity will _ cite and recommend your brand_ — not just whether they can technically crawl it. Checks entity recognition · knowledge graph signals · citation readiness · trust signals 🚀 This is potentially your biggest SEO opportunity in 2026 Brands that optimise for AI citation now are building an unfair advantage. AI assistants handle 2+ billion queries per day — brands cited in those answers get qualified traffic that bypasses Google entirely. Most brands score below 40/100 on citation readiness. 🏢 AI Search Readiness Per-platform citation scores for ChatGPT, Gemini, Claude & Perplexity. Checks crawler access, llms.txt, and platform-specific schema weights. 🧠 Entity Recognition Detects your brand entity (Organization schema confidence), founder entity (Person schema), and product entities (Product/ItemList schema). 📡 Citation Readiness Knowledge graph signals — Wikipedia, LinkedIn, YouTube, Crunchbase sameAs. Structured data depth, author pages, and About page presence. 🔒 Trust Signals Review schema (AggregateRating), social proof across platforms, and press/media page presence — the credibility layer AI models look for. ## Frequently Asked Questions What is AI citation and why does it matter? AI citation is when ChatGPT, Gemini, Claude, or Perplexity mentions or recommends your brand in a response. Unlike clicks on search results, AI citations reach users at the exact moment they're seeking advice — a direct recommendation from a trusted AI assistant. AI assistants handle 2+ billion queries per day, making citation-readiness the fastest-growing SEO opportunity. What is entity recognition in AI search? Entity recognition is how AI models classify real-world subjects as distinct, citable entities. A brand with Organization schema, a named founder with Person schema, and products with Product schema are 'known entities' in AI knowledge graphs. Brands without these signals are invisible to AI regardless of traffic or rankings. What knowledge graph signals matter most for AI citation? Wikipedia/Wikidata sameAs links are #1 — Wikipedia is a primary training corpus for every major LLM. LinkedIn company page (2nd), YouTube channel (3rd), and Crunchbase profile (4th). Each of these as a sameAs URL in your Organization schema tells AI: this brand is real, established, and cross-referenced across authoritative sources. What is the difference between this and the AI Visibility Checker? The AI Visibility Checker focuses on technical access — can AI crawlers reach your site? This tool focuses on citation likelihood — will AI models actually mention your brand? A site can be fully crawlable but still uncitable if it lacks entity recognition. Citation Readiness Score measures the business outcome, not just the technical prerequisite. How does Risk Level work? Risk Level reflects how exposed your brand is to AI citation gaps. Critical (0–31): AI models cannot identify your brand as a citable entity. High (32–47): Fundamental entity signals missing — low citation probability. Medium (48–64): Partial signals present — occasional citations likely. Low (65–79): Strong signals — regular citations likely. Minimal (80+): Optimised for AI citation across all platforms. ## FAQ ### What is an AI Citation Checker? An AI Citation Checker analyses whether AI systems like ChatGPT, Gemini, Claude, and Perplexity are likely to mention or recommend your brand when answering questions relevant to your business. It examines entity recognition signals (does AI know what your brand is?), knowledge graph presence, structured data quality, and trust signals to produce a 0–100 AI Visibility Score and a Likelihood of AI Citation rating. ### What is entity recognition in AI search? Entity recognition is how AI models identify and classify real-world subjects — brands, people, products — as distinct, citable entities rather than generic text. A brand with clear Organization schema, a founder with Person schema and LinkedIn sameAs, and products with Product schema are 'known entities' to AI. Brands without these signals are invisible to AI knowledge graphs and get zero citations regardless of traffic. ### What are knowledge graph signals for AI citation? Knowledge graph signals are structured data links that connect your brand entity to authoritative external platforms. The highest-value signals are: Wikipedia/Wikidata sameAs links (the strongest AI citation signal — Wikipedia is a primary training source for all major LLMs), LinkedIn company page, YouTube channel, and Crunchbase profile. Each sameAs link in your Organization schema tells AI models: this is where this brand's authoritative profile lives. ### What is the difference between AI Visibility and AI Citation? AI Visibility measures whether AI crawlers can technically access your site (robots.txt, llms.txt). AI Citation measures whether AI models will actually mention your brand in their responses. A site can be fully crawlable but still uncitable if it lacks entity recognition signals. The AI Citation Checker focuses on citation likelihood — the business outcome — rather than just crawlability. ### How do I improve my AI Citation score? The highest-impact improvements are: (1) Add Organization schema with Wikipedia and LinkedIn sameAs links — this creates a verified brand entity in AI knowledge graphs. (2) Add Person schema for your founder with their LinkedIn URL — founder entities dramatically increase brand citation rates. (3) Add Product schema with AggregateRating — AI models cite specific, reviewable products more than generic brand pages. (4) Create /llms.txt — this directly signals to AI models what your brand does and which pages to read. (5) Earn press coverage and external mentions — AI models weight cited brands higher when they appear in their training data from authoritative sources.