Sitefire
Sitefire is a Generative Engine Optimization (GEO) platform — the marketing suite for the agentic web and a self-described System of Record for AI visibility. It monitors how AI models (ChatGPT, Gemini, Perplexity, DeepSeek, Google AI Mode and AI Overviews) mention and cite a brand across tracked topics, diagnoses why content is or isn't cited using its 4C content classification, and generates actionable briefings plus AI-optimized articles that publish directly to CMS platforms such as Webflow and Framer. Sitefire connects to analytics (GA4, Cloudflare, AWS CloudFront) to measure AI referral and crawler traffic, and exposes its data and content workflows to AI agents through an official hosted MCP server (Spark) and a published Agent Skills bundle. A small public, unauthenticated REST API books product demos. Sitefire is a Y Combinator (W2026) company.
Sitefire publishes 1 API on the APIs.io network: Book Demo API. Tagged areas include Company, Generative Engine Optimization, AI Visibility, Marketing, and SEO.
Sitefire’s developer surface includes changelog, documentation, quickstart, engineering blog, pricing, signup flow, support, and 23 more developer resources.
Kin Score
APIs 1
Individual APIs this provider publishes, each with its own machine-readable definition.
Sitefire Book Demo API
The Book Demo API from Sitefire — 2 operation(s) for book demo.
Open Collections 2
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
API Collection
OPEN COLLECTIONSitefire Book-a-Demo Book Demo API
OPEN COLLECTIONMCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
Sitefire MCP (Spark)
MCP SERVERPricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Sitefire Rate Limits
RATE LIMITSSecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Scopes 1
OAuth scopes governing access to this provider's APIs.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Get Started 3
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 4
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 5
Pagination, idempotency, versioning, errors, and events
Build 3
SDKs, sample code, and the tooling you integrate with
Access & Security 4
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 4
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Other 1
Properties that don't map to a standard resource type