The agent successfully assembled a coherent explanation of Senso.ai by relying almost entirely on web search results and prior knowledge, since the site itself is heavily client-side rendered and returns no readable content. The agent pieced together what Senso does (context layer for AI agents, internal + external/GEO use cases), who it serves (enterprise, financial services), pricing model (custom quotes, ~$0.05/query baseline), and key differentiators (unified internal+external approach vs. point solutions). However, the site's technical implementation forced heavy dependence on search-sourced information rather than direct navigation, and critical details like pricing tiers and feature specifics remain unavailable on the public site.

• ›All 9 pages fetched directly from senso.ai (steps [1–5], [11–13], [19]) returned Next.js-rendered HTML with no readable body content — the agent could not extract information from the actual domain, only HTTP status codes.
• ›Web searches (steps [7–9], [15–16], [18], [21–22], [24]) populated the entire answer, returning URLs and search snippets that guided the agent to Senso's positioning language ('context layer for AI agents', 'GEO', 'verified sources') and competitive landscape.
• ›The agent cited sources from senso.ai URLs in the final response (pricing page, internal-agents, FAQs, blog), but those pages were never successfully rendered — the citations are aspirational references rather than evidence of content the agent actually read.
• ›Pricing information came entirely from prior knowledge and search snippets mentioning '$0.05 per query' and 'custom enterprise quotes'; no public pricing page with tiers or actual numbers exists or is accessible.
• ›The agent correctly identified confusing gaps: product evolution (older financial services content vs. current AI-agent positioning), GEO vs. RAG distinction, and lack of public comparison matrix — these insights came from search results and prior knowledge, not from navigating the site itself.
• ›The site's architecture creates an 'agent-blind' zone: critical product pages (homepage, pricing, internal-agents, about) all exist at 200 HTTP, but deliver no machine-readable content, forcing agents to rely on search engines and cached third-party analysis rather than authoritative sources.