CiteGraph - Track AI search engine citations
CiteGraph is an AI search visibility and citation tracking platform designed for founders, marketers, and SEO teams looking to understand how their brand appears inside large language model answers. By executing realistic buyer queries across multiple generative engines via their official APIs, the software identifies missing mentions, maps the underlying cited sources, and details the specific gaps preventing a product from being recommended. Rather than relying on simple keyword rankings or vanity metrics, it surfaces the exact textual answers given to users, the competitor products named instead, and the precise web pages referenced during the lookup.
- Lost Answer Detection: Queries production search engines with realistic buyer questions to capture verbatim responses, highlighting every instance where a product was omitted.
- Competitor Share of Voice: Tracks relative mention frequencies and market dominance across chosen rival domains on a per-scan basis.
- Cited Source Mapping: Evaluates the third-party roundups, directories, and blog posts that AI engines pull from to construct their recommendations.
- Actionable Fix Generation: Provides the specific missing sentence claim and target context required to qualify for inclusion in future engine replies.
- Statistical Error Bars: Runs repeated sampling queries with printed margins of error to ensure reported visibility shifts reflect genuine movement rather than random variance.
- Agentic Integration: Offers an MCP server connection alongside an in-app assistant so coding tools like Cursor, VS Code, or Claude can directly interpret visibility data.
The platform suits modern marketing teams and indie operators wanting to optimize their presence on platforms like ChatGPT, Claude, Gemini, and Perplexity. It operates via paid one-off scan options as well as recurring monthly subscriptions including Starter, Growth, and Scale tiers.
