Found by AI is an AI visibility measurement platform that tracks how often businesses are named in AI-generated answers across seven major engines. The platform provides competitive intelligence, actionable fix plans, and an MCP server that lets AI agents read live measurement data. Its free scan offers a two-engine visibility check in about a minute, while paid tiers add weekly monitoring across all engines.
Funding
Funding not disclosed
Founders
Product
Problem
Buyers increasingly use AI engines like ChatGPT, Perplexity, and Claude to find products and services, and these engines answer with specific business names. Most businesses have no visibility into whether AI recommends them, which competitors are named instead, or what factors influence these AI-driven recommendations, leaving them invisible in a growing channel of buyer discovery.
Solution
Found by AI provides an AI visibility measurement platform that asks real buyer questions across seven major AI engines and tracks which businesses are named in the answers. The platform generates visibility and readiness scores (0-100), identifies competitors that engines name instead of the user, and provides prioritized fix plans based on 30-plus readiness signals including schema, llms.txt, crawler access, and brand signals. Users can run a free two-engine scan in about a minute, while paid subscriptions offer weekly re-measurement across all engines with competitor tracking and change detection. The platform includes an MCP server that lets AI agents like Claude and Cursor query live measurement data through twenty tools, enabling automated monitoring and reporting workflows.
Target Audience
Primary customers are businesses seeking to be named by AI engines in buyer queries, along with marketing agencies and multi-location groups that need to monitor AI visibility across multiple client sites and measure competitive positioning.
Features
- Measures AI visibility across seven engines including ChatGPT, Perplexity, Claude, Copilot, and Gemini
- Tracks competitive intelligence, showing which rival businesses are named instead of the user and how often
- Provides a 54-point brand signal gap analysis between named and invisible businesses, highlighting that brand mentions matter more than technical SEO
- Includes an MCP server with twenty tools for agent access, including get_answers, get_rivals, get_fix_plan, and get_benchmark
- Offers an agent-readiness ladder (levels 0-5) that grades how well a site can be read by headless agent browsers
- Chrome extension performs local readiness checks and displays visibility scores without sending page content to servers
- Tracks AI-referred visitor traffic with a one-line website snippet, and integrates with Google Search Console for combined search and AI visibility data