The agent successfully extracted core product information (what Freeda does, who it serves, how the service works, and key differentiators) from the homepage and How It Works page, but could not fulfill the pricing requirement because Freeda publishes no public pricing details—only a prompt to call sales. The site's structural gaps (broken /pricing and /about pages) forced the agent to work around missing content; web search confirmed the custom-quote model but added no pricing transparency.

• ›Homepage ([0]) and How It Works page ([5]) were content-rich and sufficient to explain the core service, differentiators, and process—both were directly cited and fully answered 4 of 5 task requirements.
• ›Pricing pages (/pricing, /features, /about) all returned 404 errors, blocking access to critical task requirements; the agent had to infer from site language ('schedule a call to outline your customized package') that pricing is custom and not public.
• ›Web search ([6], [7]) confirmed Freeda's €3.4M funding and positioning but contained no pricing data—search results are cited in final answer but did not meaningfully resolve the pricing gap.
• ›The agent properly distinguished Freeda (construction compliance, freedaai.com) from Freed (medical AI scribe, getfreed.ai) when search results conflated the two, showing correct disambiguation logic but highlighting a discoverability issue.
• ›Competitive landscape ([7]) was sourced entirely from search results and model inference about broader construction AI tools; the site itself provides no comparison or positioning against alternatives.