Make product websites machine-readable for LLM agents to automate evaluation

Make product websites machine-readable for LLM agents to automate evaluation targets a $6.0B = 500,000 tech & SaaS product teams × $12K ACV total addressable market with medium saturation and a year-over-year growth rate of 25% YoY — estimated growth of developer AI tooling and LLM integrations based on industry reports and increasing agent adoption.

Key trends driving demand: Agent adoption — companies are deploying LLM agents for procurement, developer assistance, and internal automation, creating demand for deterministic, machine-readable inputs.; Docs-first product strategies — developer-facing companies increasingly view documentation as product infrastructure, which makes them receptive to tooling that improves machine consumption.; Standardization movement — community conventions like llms.txt and llms-full.txt are emerging, making an opt-in standardized surface area valuable for discovery and comparison.; Pricing transparency demand — automated buyers and comparison agents need normalized pricing lines to evaluate cost; organizations will adopt tooling that reliably exposes pricing..