The agent successfully completed a discovery-evaluation task by retrieving and synthesizing information from Omentir's website to explain what the product does, who it serves, how it's priced, and how it differs from alternatives. The site was highly navigable and agent-friendly, publishing structured markdown versions of key pages (pricing.md, features.md, about.md, llms.txt) alongside HTML, which enabled direct extraction of answers without assembly or inference.

• ›The pricing page (.md version) directly stated the Pro tier ($49/month), Enterprise tier (custom), and the '3 bookings per week minimum or money back' guarantee in machine-readable text, answering the pricing question completely and without ambiguity in the fetched response.
• ›The about.md page explicitly positioned Omentir as 'AI agents for sales & marketing' helping 'founders, SDRs, and small sales teams find potential buyers, organize them into groups, and run LinkedIn campaigns,' directly answering the 'what do they do' and 'who is it for' questions.
• ›The llms.txt artifact explicitly compared Omentir against named competitors (Instantly, Smartlead, Grok Bot) and articulated key differentiation points (LinkedIn-native, ICP-focused, open source), surfacing competitive context the agent might not have inferred from product docs alone.
• ›Feature pages (lead-finders.md, ai-linkedin-outreach.md) provided detailed feature descriptions with structured sections ('Highlights', 'Plain language' explanations), enabling the agent to reconstruct how the product works without guessing.
• ›The site published .md versions of all key pages via predictable URL patterns (/pricing.md, /features.md, /about.md), allowing the agent to fetch structured, text-only content and extract information reliably; this is a high-signal design choice for agent-readiness.
• ›The agent's identification of knowledge gaps (e.g., 'how exactly is a booking measured?', 'what intent signals are used?', 'what are self-hosting requirements?') reveals that while the site answered the main questions, it omitted operational/implementation details that would matter to a buyer or self-hoster.