# API for GEO

> A REST API for Generative Engine Optimization (GEO) data. One call returns the AI
> answer for a prompt plus the computed layer on top of it: resolved brand entities,
> mention rate, share of voice, average position, cited sources, sentiment, themes and
> per-brand perception, shopping results and ranked fan-out questions.

Coverage: 6 model families, 40+ countries, 25+ languages.
Billing: 1 credit per prompt, per model, per run, from $0.013 down to $0.007. Reads are not billed.

## Core pages

- [Home](https://apiforgeo.com/): what the API returns, the six-stage enrichment pipeline, the ten endpoint families.
- [Pricing](https://apiforgeo.com/pricing): credit definition, volume tiers, cost estimator, billing FAQ, key request.
- [Use cases](https://apiforgeo.com/use-cases): SEO platforms embedding a GEO module, agency client reporting, e-commerce product visibility.
- [Compare](https://apiforgeo.com/compare): GEO data API vs AI answer scraping APIs vs GEO dashboards vs building in-house, and the GEO glossary.

## APIs

- [AI Visibility API](https://apiforgeo.com/api/ai-visibility): mention rate, share of voice, average position and a visibility timeseries per entity.
- [AI Model Comparison API](https://apiforgeo.com/api/ai-model-comparison): one row per model with visibility, ranking, citation rate and share of voice.
- [Prompt Tracking API](https://apiforgeo.com/api/prompt-tracking): create, tag and run the prompts you monitor; read per-prompt stats.
- [Fan-Out API](https://apiforgeo.com/api/fan-out): the follow-up questions engines generate from a prompt, ranked by occurrence.
- [Citations API](https://apiforgeo.com/api/citations): every URL AI engines cite, with domain, source category and whether the page names the brand.
- [Shopping API](https://apiforgeo.com/api/shopping): products, merchants, prices and ratings surfaced in AI shopping answers.
- [Themes & Perception API](https://apiforgeo.com/api/themes-perception): theme clusters and how each brand is characterised inside every theme.

Also available, without a page of their own: Sentiment API, Social Citations API, MCP server.

## Tools

- [Tools](https://apiforgeo.com/tools): nine checks on how AI engines see a brand, each sent by email.
- [AI visibility tool](https://apiforgeo.com/tools/ai-visibility): mention rate, share of voice and average position for a brand and up to three competitors.
- [Query fan-out tool](https://apiforgeo.com/tools/query-fan-out): the sub-questions engines generate from one prompt, ranked by occurrence.
- [AI rank tracker](https://apiforgeo.com/tools/ai-rank-tracker): a brand's visibility, average rank, citation rate and share of voice, engine by engine.
- [AI citation checker](https://apiforgeo.com/tools/ai-citation-checker): the sources engines cite for a prompt, by domain and category, and whether they name the brand.
- [AI prompt tracker](https://apiforgeo.com/tools/ai-prompt-tracker): visibility, brands named and sources cited for each prompt of a list.
- [AI brand sentiment tool](https://apiforgeo.com/tools/ai-brand-sentiment): a sentiment score, label and tone split for a brand and one competitor.
- [AI brand perception tool](https://apiforgeo.com/tools/ai-brand-perception): the themes engines raise in a category and how they frame each brand in them.
- [AI shopping tracker](https://apiforgeo.com/tools/ai-shopping-tracker): the products engines recommend for a shopping query, with merchant, price and rating.
- [YouTube AI citations tool](https://apiforgeo.com/tools/social-ai-citations): the YouTube videos and channels engines cite for a prompt.

## Guides

- [Blog](https://apiforgeo.com/blog): guides on measuring how AI engines see a brand.
- [AI search visibility](https://apiforgeo.com/blog/ai-visibility): what AI search visibility is, the four metrics behind it and how to measure it.
- [Query fan-out](https://apiforgeo.com/blog/query-fan-out): how AI engines split one prompt into many searches, and how to brief content from it.
- [AI share of voice](https://apiforgeo.com/blog/ai-share-of-voice): the share of voice formula for AI answers, a worked example and its limits.
- [Prompt tracking](https://apiforgeo.com/blog/prompt-tracking): why the prompt replaced the keyword, how many prompts to track and how to build a set.
- [AI citation tracking](https://apiforgeo.com/blog/ai-citations): how a citation differs from a mention, how to track cited sources and read true reach.
- [Authors](https://apiforgeo.com/blog/authors): who writes and reviews the guides.

## Definitions used on this site

- Generative Engine Optimization (GEO): Making a brand appear, rank and be favourably described inside AI-generated answers. Measured per prompt and per model, where SEO measures per keyword and per position.
- AI visibility: The share of in-scope AI responses that mention a given entity at least once, from 0 to 100.
- Share of voice: An entity's mentions divided by all entity mentions in scope, a relative measure, unlike visibility.
- Average position: The mean rank of an entity in the answers where it appears; lower is better.
- Citation rate: The share of responses that cite at least one source attributed to the entity.
- True reach: Of the pages a model cited, the share that also mention the brand: the link between the answer layer and the source layer.
- Query fan-out: The sub-questions an engine derives from a prompt in order to retrieve and compose its answer.
- Perception: How a brand is characterised inside a specific theme (leader, cheap option, hard to use), which a single global sentiment score cannot show.
- Credit: One prompt, run once, on one model, in one locale, with every enrichment layer included.

## Contact

Keys are requested from the pricing page: https://apiforgeo.com/pricing#start