Deterministic GEO, llmstxt.org & AI Agent Readiness Infrastructure

AgenticPulse was built to solve a critical blind spot for modern SaaS founders and engineering teams: traditional SEO tools check legacy meta tags, while AI search engines (ChatGPT Search, Claude, Perplexity, Google Gemini) and coding agents (Cursor, Claude Code, Windsurf) require clean /llms.txt manifests, explicit AI crawler allowances in /robots.txt, Markdown content negotiation (Accept: text/markdown), rich JSON-LD entity graphs, and machine-readable OpenAPI/MCP specifications.

Our 6-Dimension Non-Hallucinated Audit Architecture

Unlike heuristic wrappers that guess readiness scores, AgenticPulse performs real HTTP edge probes against your domain's root HTML, /robots.txt, /llms.txt, /llms-full.txt, /openapi.json, and /.well-known/mcp endpoints, then synthesizes drop-in remediation files tailored to your actual DOM content.