CiteGraph
CiteGraph is a web-based answer engine optimization (AEO) and generative engine optimization (GEO) platform. It monitors how AI assistants such as ChatGPT answer buyer-intent questions and reports whether a given brand or product is mentioned or cited in those answers, alongside the competitors and third-party sources that are cited instead. Users supply a domain, and the product generates a set of real buyer questions drawn from the site and category. CiteGraph then samples engine answers repeatedly, retaining the verbatim responses and cited pages as evidence. The interface organizes findings into views such as Overview, Prompts, Answers, Blind spots, Sources, Competitors, Action plan, Pages, Dossier and Ask. Instead of only displaying a visibility score, the tool surfaces the specific answer a brand is missing from, the sentence and competitor that won the citation, and suggested content plays intended to win that placement. Typical outputs include share-of-voice comparisons against rivals, lists of prompts where the brand is absent, source lists that show which external pages the engines rely on, and an action plan of fixes. The product is offered as a freemium SaaS with a free readiness check and a 7-day free trial; pricing details are on its site. Homepage claims include '53,000+ citations measured' and 'Real fixes not just a score.'
- Category
- Answer engine optimization
- Pricing
- Freemium
Problem solved
AI assistants increasingly answer product-category questions directly, citing a small set of sources and naming competitors rather than the user's brand. Teams lacked a way to see the actual prompts, answers, and cited pages that decide these AI recommendations, and therefore could not act on the gap. CiteGraph collects those answers and citations and turns them into specific content and placement actions to improve AI visibility.
Use cases
- Track whether ChatGPT and other AI assistants mention your brand for buyer-intent prompts
- Compare share of voice against competitors in AI-generated answers
- Identify prompts and questions where your brand is missing or cited less than rivals
- Find the third-party sources and listicles AI engines cite, to target outreach and content
- Build an editorial or content action plan from AI citation blind spots
- Audit a domain's AEO/GEO readiness before investing in optimization
- Monitor AI search visibility changes over time for reporting
Audience
- Business Users
- Product Managers
- Content Creators
- Startups
- Enterprise
Pros
- Shows verbatim AI answers and citation gaps, not just a score
- Covers competitor share-of-voice and source mapping in one place
- Provides concrete action plans and fixes
- Freemium entry with a free readiness check and trial
- Tracks multiple engines and repeated sampling for evidence
Cons
- Visibility into AI engines depends on providers and may change as engines update
- No public API or self-hosted option documented on the homepage
- Pricing details beyond freemium not specified in the provided material
- Effectiveness relies on the user executing content and outreach plays
- No GitHub repository available for review
Official website: https://www.citegraph.app/
Canonical LambdaBase page: https://www.lambdabase.com/tools/citegraph