Lightsage
Lightsage provides an Agent-Led Growth platform that helps software companies understand and improve how AI coding agents discover, evaluate, and use their products. The platform runs large-scale simulations across 18+ AI platforms, including Claude Code, Codex, and Cursor, to measure visibility, identify integration failures, and track real agent traffic. It pinpoints root causes of agent failure—such as documentation gaps, authentication errors, or incompatible MCP servers—and lets teams test fixes before shipping.
- Data & Analytics
- Artificial Intelligence
- Marketing Technology
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Software companies have lost visibility into how their products are discovered and adopted. AI agents can now choose a database, API, or authentication provider and start integrating it without ever visiting a vendor's website, making traditional human-centric analytics and marketing approaches insufficient. When coding agents repeatedly recommend competitors instead of your product, companies often never learn why they lost the deal.
Solution
Lightsage provides an Agent-Led Growth platform that lets software companies see their product through an agent's eyes. The platform runs large-scale simulations across answer engines and coding agents, measuring where a company appears against competitors and what happens next. Agents are given real tasks requiring them to navigate documentation, choose tooling, and successfully use APIs, SDKs, CLIs, MCP servers, and Agent Skills. When agents fail, Lightsage pinpoints whether the break is discoverability, documentation, authentication, an API endpoint, an SDK implementation, or an incompatible MCP server. Teams can fix the issue, rerun the workflow, and measure whether agent success improves. Lightsage also provides analytics on real agent traffic, showing when agents visit a company's website or docs and whether those journeys turn into product usage.
Target Audience
Primary customers are software companies, particularly developer tool, API, ecommerce, payments, and B2B software companies that need to understand how AI agents discover, evaluate, and use their products. Early customers include Firecrawl, Reducto, Daytona, Rime, and Tinyfish.
Features
- Tracks visibility across 18 AI platforms including Claude Code, Codex, Cursor, GitHub Copilot, OpenCode, ChatGPT, Perplexity, and Google AI Overviews
- Agent Analytics shows which coding agents visit documentation in real-time, with visibility score tracking against competitors
- Agent Usability runs simulations where agents complete real tasks to measure tool call success rate, error recovery rate, and completion rate
- Opportunities Engine surfaces AI-powered insights ranked by impact, identifying competitor gaps and content opportunities
- Competitor Intelligence auto-discovers competitors and tracks their visibility across prompts
- Cited Pages tracking identifies which pages AI platforms cite in responses, helping optimize underperforming content
- 500+ prompts monitored daily across answer engines and coding agents
- Middleware integration works with Next.js, Vercel, Cloudflare, and Express to track coding agent visits