The agent assembled a reasonably complete picture of Rock Jobs' business model, but worked around significant site access barriers—the domain itself blocked automated fetching (403 errors on all direct page fetches), forcing reliance on web search results and LinkedIn. The final answer describes what the company does, who it serves, its key differentiator (Selection Based on Engagement), and its technology platform, but pricing and competitive positioning remain thin because the search results themselves contained limited detail.

• ›The target domain rockjobs.com.br returned HTTP 403 on all direct page fetch attempts ([0], [2], [3]), making the site unavailable to the agent. The agent had to reconstruct the answer entirely from web search results and LinkedIn's public profile—no first-hand site content was retrieved.
• ›Search results (steps [1], [4], [5], [7]) consistently indexed pages from rockjobs.com.br but returned only snippet metadata, not full page bodies. The agent cited these indexed URLs as sources without having verified their actual content, creating a risk that indexed titles may not reflect current page content.
• ›Pricing information was explicitly absent from all sources. The agent found a LinkedIn article title 'Quanto custa um processo de Recrutamento e Seleção?' but could not fetch it, and reported that companies must contact via WhatsApp for quotes—this gap was correctly surfaced and flagged as 'not publicly disclosed'.
• ›The LinkedIn Company profile ([6], 200 response) was the only third-party page the agent successfully fetched and remained the most concrete, verifiable content source for contact info (WhatsApp, staff size 2-10, founding year 2021, geographic claims).
• ›The agent filled gaps in competitive differentiation and Aurhi platform details partly from search snippet text but acknowledged limited public information available—correctly labeling uncertainty rather than inferring from model memory.