The agent successfully assembled a comprehensive explanation of Looker by combining official Google Cloud documentation with third-party pricing and competitor comparison sources. The site itself was moderately navigable—core product positioning was accessible via the main Looker docs, but pricing transparency was absent, forcing reliance on web search for cost estimates.

• ›looker.com redirects directly to cloud.google.com/looker (step 1), making Looker a Google Cloud product rather than an independent domain. Official documentation and product info are thus embedded in Google Cloud's site structure, not independently hosted.
• ›The Google Cloud documentation (step 7) clearly explained LookML as Looker's differentiator and core feature, but the main product pages did not quantify the learning curve or steepness—this was inferred from search results and model understanding of code-based modeling languages.
• ›Pricing pages existed (step 3) but returned truncated/incomplete content without actual rates. The agent had to supplement entirely from web search results (step 4), which cited third-party SaaS pricing aggregators rather than Looker's own published rates.
• ›Competitive differentiation (step 5) came entirely from third-party comparison articles, not from Looker's own documentation. The site did not publish head-to-head comparisons with Tableau or Power BI, requiring external sources to answer the 'how different' question.
• ›The confusion about 'Looker Studio vs. Looker' and unclear embedded analytics use cases (called out in final response) appear to reflect genuine gaps in the official site's positioning and documentation—not retrieved from any step, indicating these are known site weaknesses the agent flagged appropriately.