Brand intelligence for AI agents.
Pre-computed. Structured. Ready.
Signal Atlas gives your AI agent instant access to structured brand intelligence — positioning, voice, content generation, competitive analysis, and trends — for thousands of brands. 29 tools. CLI, MCP, or Web Dashboard.
npx @signalatlas/cli brand nike.comWorks in any agent with shell access. Zero config.
Your agent needs brand data.
Today's options are terrible.
Scrape it yourself
Build crawlers. Parse inconsistent HTML. Maintain extraction pipelines. Pray nothing breaks. You'll spend more time on data infra than your actual product.
Call an LLM every time
Send a prompt like "describe Nike's brand positioning" and hope for the best. No history. No structure. No consistency between calls. Costs add up. Hallucinations creep in.
Manual research
Read brand guidelines. Skim blogs. Compile spreadsheets. Great for one brand. Useless at 50.
None of these give you structured, comparable, historical brand intelligence at API speed. That's the gap. Signal Atlas fills it — and if a brand isn't indexed yet, just query it. We'll add it automatically.
Built for production. Not a weekend project.
Brands pre-indexed and growing. New brands added daily.
P95 response latency. Pre-computed intelligence, not on-demand generation.
Continuous monitoring. Your data is always current.
Hallucinations. Structured, verified data from real brand content.