EntityGraph is an Answer Engine Optimization (AEO) platform that helps businesses measure and improve how AI assistants, including; ChatGPT, Perplexity, Gemini, and Claude, represent and cite them. As more people ask AI tools for recommendations rather than using traditional search, EntityGraph assesses whether a business is being surfaced and cited, tracks how that changes over time, and provides tooling to improve its standing.
The platform centers on a structured, canonical record of a business — its entity graph — that can be published for AI engines to read. It is built on citemap.json, an open specification that EntityGraph publishes and maintains for describing entities to AI systems.
Core capabilities include:
AI visibility audit — evaluates how AI engines currently answer questions about a business and where competitors are cited instead.
Citation monitoring — tracks citation rates across multiple AI engines and custom query sets on a recurring schedule, reporting live-retrieval (grounded) and trained-model engines separately.
Competitor share-of-voice — compares a business's AI visibility against named competitors.
Corrections — workflows to identify and address inaccurate or outdated information that AI repeats.
Structured data generation — produces citemap.json and related schema, with publishing options including a WordPress plugin.
Integrations — Google Search Console and GA4 to connect AI visibility with search and analytics data.
EntityGraph is aimed at small and mid-sized businesses, marketing agencies, and freelancers managing AEO on behalf of clients. A free AI visibility audit is available, with paid subscriptions for ongoing monitoring.
