The agent successfully assembled a comprehensive overview of Tomorro's core offering, positioning, and pricing model by fetching the homepage and pricing page directly. Competitor and differentiation details came partly from the site and partly from web search results, revealing that the site itself does not publish direct comparisons but the agent filled this gap using third-party alternatives guides.

• ›Pricing page ([3]) deliberately withholds specific prices—no tiers or per-user costs are published; the agent correctly identified this as a friction point that requires sales contact, not a data fetch failure.
• ›The homepage ([1]) and pricing page ([3]) together provided concrete feature claims (Oro AI, 92% accuracy, 53% negotiation speed improvement, ISO-27001/GDPR compliance, data residency in France) without requiring the agent to invoke model memory; the site surfaces these directly.
• ›Competitor and alternatives information ([6]) came from web search, not from Tomorro's own site; Tomorro does not publish a competitive matrix or positioning page, so the agent correctly looked outbound to build a comparative frame.
• ›The agent had to re-fetch the homepage ([4]) to extract differentiation logic that was not isolated in a dedicated 'Why Tomorro' page; differentiation details were scattered across the site and reconstructed via multiple visits.
• ›Integration partnerships (Salesforce, HubSpot, Zapier, Google Calendar) were mentioned on the homepage but no dedicated integration marketplace or full catalog was surfaced during navigation, leaving the agent unable to build a complete picture despite site visits.