The agent could not access ftltesting.com directly due to Cloudflare blocking, but assembled a reasonably comprehensive overview of the company through web search results and cached content. The agent successfully identified FTL's core business (fenestration/window-door testing), service offerings, target customers, and key differentiators (missile impact cannon, forensic water intrusion expertise, large test chambers, 35+ year track record), but was unable to retrieve transparent pricing, detailed competitive positioning, or clarify organizational structure (QAI relationship). The site is effectively opaque to automated access and does not publish pricing or detailed comparisons publicly, forcing reliance on inferred information and search snippets.

• ›All direct fetches to ftltesting.com returned 403 Cloudflare blocks; the agent recovered by pivoting entirely to web search, which surfaced search result snippets, directory listings, and a news article about QAI's partnership announcement—none of which directly answered the task, but collectively provided enough surface-level information to construct a coherent narrative.
• ›The agent's final answer relies heavily on inferential assembly: service categories came from URL titles in search results (e.g., 'Laboratory Services', 'Field Testing', 'Forensics'); the '2x4 cannon' detail came from search query snippets and directory mentions; competitive context came from Crunchbase profiles and G2 competitor pages that were referenced but not fetched. Very little was directly cited from actual ftltesting.com content.
• ›Pricing and competitive differentiation—two of the three core questions in the task—remain unanswered: the agent explicitly flags that FTL has no public pricing and that search results do not clarify how their rates or turnaround times compare to competitors like UL or NGC. The QAI acquisition relationship is ambiguous in search results and never resolved.
• ›The site's agent-readiness is poor: no accessible HTML, no structured data (JSON-LD, microdata) in search snippets, no pricing table or service matrix discoverable through search. The agent had to infer service boundaries from URL paths and directory listings rather than from actual published content.
• ›Prior knowledge contributed ~25% of the final answer (fenestration industry context, testing standards, competitor names), but web search was necessary to ground claims in current specifics. The agent correctly identified the gap and disclosed it in the 'Confusing or Missing Information' section.