The agent successfully assembled a comprehensive explanation of Crawlers.fr by combining fetched website content (homepage, pricing, features, about pages) with web search results and a LinkedIn post from the founder. The site's React SPA architecture made direct HTML parsing difficult, forcing the agent to rely on page titles, meta descriptions, and external sources to reconstruct the value proposition, pricing model, and competitive positioning. Despite this friction, the agent delivered a well-structured answer covering what Crawlers.fr does, who it's for, pricing, and differentiation.

• ›Steps [0], [2], [5], [6], [8] returned meta descriptions and page titles that conveyed core positioning ('SEO & GEO tout-en-un', 'Audit SEO et GEO', pricing at '29€/mois') but the rendered UI and feature explanations were inaccessible due to React SPA rendering.
• ›The agent guessed French URL patterns (/tarifs, /a-propos, /features) rather than discovering them from site navigation; some guesses (e.g., /pricing, /fonctionnalites) failed with 404s, indicating inconsistent URL structure or poor navigation exposure.
• ›Web search results [10], [11], [13] and the LinkedIn post [15] became primary sources for understanding the founder's vision, competitive context, and feature details that weren't fully articulated on the fetched pages.
• ›The site's public pages are agent-hostile: they lack structured data (no JSON-LD schema for SoftwareApplication or pricing), render critical content client-side, and don't publish feature lists or competitive claims in machine-readable form.
• ›The agent cited all successful fetches in its Sources list, showing transparency about what it actually accessed vs. what it inferred from prior knowledge or search context.