Get cited by AI answer engines
Citematic is a ten-step automation engine for generative engine optimization that takes a website from audience research to measured AI visibility. It runs the technical and content work required to be cited by AI answer engines - ChatGPT, Claude, Perplexity, and Google AI Overviews - then measures how often your brand appears in their answers. Where classic SEO wins a ranked link, GEO wins a sentence inside the answer.
Ranking a page is no longer the same as being cited. Across 863,000 search results, Ahrefs measured that 37.9% of Google AI Overview citations come from pages in the top 10, which leaves the remaining 62% coming from outside it. A page can rank well and still be missing from the answer your buyers actually read - so AI citation is a separate job from search ranking, and it can be worked on directly.
What is generative engine optimization?
Generative engine optimization (GEO) - closely related to answer engine optimization (AEO) - is the practice of structuring content so AI answer engines quote it as a source instead of leaving a model to guess. It builds on the same fundamentals as search engine optimization - server-rendered pages, structured data, clear entities, and authority - and applies them to how large language models retrieve and cite the web. Learn what GEO is, or see how GEO and SEO differ.
What does Citematic do?
Citematic runs the full path from research to measured citation share as one automated ten-step workflow:
- Audience and intent modeling - the personas, jobs, and questions behind the queries.
- Keyword and topic universe - the query and prompt map for your market.
- Site and information architecture - keeping citable pages within a shallow crawl path.
- Content briefs and production - answer-first drafts with verifiable claims and clear entities.
- Structured data and semantic layer - per-page schema.org JSON-LD and a linked entity graph.
- Technical foundation - AI-crawler access, server-rendered markup, and sitemap coverage.
- GEO / AEO optimization - the on-page moves that make each engine quote the page.
- Authority and digital PR - the third-party mentions AI engines use to corroborate a brand.
- Measurement and attribution - Share of Model across the major AI answer engines.
- Maintenance and governance - holding citation share as models and content change.
How Citematic is different
The GEO tool category splits in two: platforms that only measure, and platforms that also do the work. Citematic is built for the second job - so measurement reflects changes it actually made.
| Monitoring-only tools | Citematic (full-stack) |
|---|---|
| Report whether AI engines mention you | Does the work that changes whether they cite you |
| Leave the fixes to you or an agency | Runs architecture, content, schema, and crawler access |
| Dashboards and alerts | Dashboards plus the ten-step workflow behind them |
| Show the gap | Closes the gap, then measures Share of Model to prove it |
Which AI answer engines does Citematic optimize for?
Citematic targets and measures the four answer engines where buyer research increasingly happens: ChatGPT, Claude, Perplexity, and Google AI Overviews. Each engine cites differently - Perplexity weighs freshness and explicit sources, AI Overviews draw on top-ranking pages, Claude favors clear, comprehensive structure - and the workflow adapts to each. Work focuses on the English-speaking market: the United States, United Kingdom, Canada, and Australia.
Learn GEO
Free, technique-level guides on earning AI citations:
- What is generative engine optimization (GEO)?
- GEO vs SEO: how they differ and overlap
- How to get cited by AI answer engines
- AI citation strategies - the deep cluster, including ChatGPT, Perplexity, answer-first content, structured data for AI, and statistics with sources.
Key takeaways
- AI citation is a separate job from search ranking - a strong Google ranking raises the odds of a citation but no longer guarantees one.
- GEO applies SEO fundamentals - structure, schema, entities, authority - to how models cite the web.
- Citematic runs the full ten-step workflow, then measures Share of Model to show what moved.
Frequently asked questions
What is Citematic?
Citematic is a ten-step automation engine for generative engine optimization (GEO) that gets brands cited in AI answers across ChatGPT, Claude, Perplexity, and Google AI Overviews. It runs the full technical and content workflow required for AI citation, then measures how often a brand appears in AI answers, for the English-speaking market (US, UK, Canada, Australia).
What is generative engine optimization?
Generative engine optimization (GEO) is the practice of structuring content so AI answer engines cite it as a source. Where classic SEO wins a ranked link, GEO wins a sentence inside the AI answer. It extends SEO fundamentals - crawlability, structured data, and authority - to how large language models retrieve and cite the web.
How is Citematic different from AI-visibility monitoring tools?
Most GEO tools only monitor: they report whether an AI engine mentions your brand. Citematic is full-stack. It does the work that changes the outcome - architecture, answer-first content, structured data, crawler access, and authority - and then measures Share of Model to show whether the work moved citations.
What is Share of Model?
Share of Model is how often a brand appears in the answers of AI engines across a fixed set of monitored prompts. Citematic measures it across ChatGPT, Claude, Perplexity, and Google AI Overviews, so the effect of each change is visible rather than assumed.
Which AI engines does Citematic optimize for?
Citematic optimizes for and measures Share of Model across ChatGPT, Claude, Perplexity, and Google AI Overviews - the answer engines where a growing share of buyer research now happens.