The agent successfully assembled a comprehensive overview of Yateo by combining content fetched directly from the site's main pages with web search context. The site is moderately navigable for discovery—key service pages are structured and findable—but pricing transparency and technical details about their performance-based model are incomplete, forcing the agent to synthesize fragments and acknowledge gaps rather than deliver definitive answers on cost and exact compensation mechanics.

• ›Steps [1], [3], [9], [10], [11], [19], [20] contained the core payload: homepage meta-description revealed the 16-year history and three-pole service model (consulting, conception, acquisition); /agence.html confirmed team size (15+ staff); /agence-sea.html explicitly stated the performance-based SEA pricing model; /conception.html and /conseil.html described each service area in detail.
• ›The site exposes structured positioning (consulting → conception → acquisition) and certifications (Google Premier Partner) clearly in meta descriptions and page content, making it agent-ready for high-level understanding. However, specific pricing tiers, performance-based compensation formulas, and client eligibility criteria are entirely absent from fetchable content—the agent had to note these as 'missing' rather than derive them.
• ›The site is French-only; the agent could not access an English version ([4] returned the same French content). This materially limits discoverability and agent comprehension for non-French-speaking users. Third-party review sites (La Fabrique du Net, Sortlist) were blocked ([13], [14]), forcing reliance on the primary domain and web search snippets rather than independent verification.
• ›Web search ([6], [16], [17], [22], [23]) provided context and URLs but did not add significant factual content beyond what the primary site already disclosed; search results were primarily routing to the same yateo.com pages or blocked review sites. The agent's ability to answer 'how is it different' relied heavily on prior knowledge and inference (e.g., 'one of the very few' offering performance-based pricing) rather than comparative data fetched from the site.