The agent could not read the target site directly (403 on all fetches) and assembled its answer entirely from search result snippets and third-party trade press coverage. It correctly identified Lacentrale as a French car classifieds marketplace, mapped its pricing structure, and positioned it against competitors, but could not verify exact pricing or core product facts from official sources.

• ›Every direct fetch of lacentrale.fr returned HTTP 403 (homepage, /a-propos, /vendre), forcing the agent to rely on search snippet excerpts of the same URLs and third-party reporting rather than primary site content.
• ›Search step [3] returned URL titles and snippets from official Lacentrale pages (vendre, vendre-professionnel-particulier, informations/conditions-generales, le-rachat-express) but the agent could not fetch those pages, so it extracted facts only from search preview text.
• ›The agent cited eight sources in its final response, of which six are on lacentrale.fr itself; however, none were successfully fetched, meaning all cited site-based facts came from search result text snippets, not full page reads.
• ›Search step [6] returned third-party competitive intelligence (Auto Infos, PitchBook, Similarweb, heepcar.com comparatives) that enabled the agent to contextualize Lacentrale against LeBonCoin and AutoScout24, but this layer was entirely external.
• ›The agent correctly flagged missing data (exact listing prices, visibility option costs, unverified revenue figures, conflicting staff/listing counts) as limitations of snippet-based sourcing, demonstrating awareness of what it could not confirm.