Agent successfully assembled a comprehensive explanation of OuvraGo by fetching the homepage, About page, and pricing page. The site publishes its core facts (what it does, who it's for, pricing, and feature limits) in clear, fetchable form, though it intentionally omits competitive positioning and withholds some details (countries served, founder identity, AI feature mechanics, security details).

• ›All three content-bearing pages (/, /a-propos, /pricing) were discovered by following links from the homepage or typing from memory — no search needed, indicating the site structure is transparent. The site itself provided 95% of the final answer.
• ›Pricing and feature limits were directly tabulated on the homepage and /pricing page with no ambiguity; payment methods and plan-change flexibility were clearly stated, making the billing layer agent-ready.
• ›The site explicitly withholds comparative claims: the About page lists self-described differentiators (African focus, lower cost, Mobile Money, diaspora support) but provides no competitor names, customer counts, or third-party validation — agent had to flag this as 'unverified' from model reasoning, not from site content.
• ›Critical context gaps — the 14 countries served are mentioned but never named, and the AI features (advisor, detection, profitability analysis) are referenced only by French label with no functional description — these absences were present in the fetched pages, not due to truncation or failed navigation.
• ›The founder's personal story and motivation were accessible (/a-propos), but company legal details, registration, and data hosting were entirely absent from fetched pages, forcing the agent to note these as 'not given' rather than 'not found.'