Agent successfully gathered and synthesized a comprehensive overview of Loanscape's core offering, pricing, and positioning from four structured fetches (homepage, site index, pricing, and company pages). The site is agent-ready via published Markdown and site index, though critical details (dollar amounts, named integrations, security/compliance certifications, AI accuracy metrics) remain unpublished by design.

• ›The site index (llms.txt) was essential to discovery; without it, the agent would have missed pricing, company, and product pages entirely. The homepage alone would have left gaps.
• ›Pricing is deliberately vague on the marketing site but fully structured on pricing.md: flat platform fee + per-approved-TPO fee, three tiers, no per-seat charges. Dollar amounts are not published and require a demo.
• ›The agent correctly identified that 'per-broker' (homepage language) and 'per-approved-TPO' (pricing page) refer to the same fee, resolving potential confusion by citing the more precise source.
• ›Company page reveals a second product, Vensight, entirely absent from the homepage and feature narrative, suggesting incomplete product positioning or a separate sales motion.
• ›The agent noted but could not verify technical claims (AI accuracy, monitoring data sources, named LOS/CRM integrations) because dedicated product.md and API docs were not fetched, indicating the agent prioritized breadth over depth.