Developer docs

Connect your AI to CiteHawk

Build on your AI visibility data. Every score, ranking, gap, and real AI answer CiteHawk collects is available over a REST API, an MCP server, and a Claude Code skill — so your own agents can read your visibility and act on it.

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Getting started

Get an API key, pick how to connect, and make your first call to the CiteHawk API in under five minutes.

Read REST v1

REST API

Full reference for the /api/v1 endpoints: brands, metrics, and responses. JSON over HTTPS, Bearer auth.

Read Model Context Protocol

MCP server

Connect Claude, Cursor, or any MCP client and ask your AI about your visibility. Six read-only tools.

Read Agentic GEO

Claude Code skill

The find-fix-measure loop: Claude Code reads your gaps via MCP, edits your own site repo, and the next collection measures the lift.

Read Custom GPTs + agents

ChatGPT & other agents

Use the OpenAPI spec to wire CiteHawk into a ChatGPT custom GPT Action or any agent framework that speaks OpenAPI.

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