The agent successfully gathered comprehensive information about Razorfrog's business model, target market, service offerings, and positioning through a combination of homepage content, dedicated service pages, and FAQs. The site was generally navigable with clear information architecture, though pricing transparency was deliberately limited—care plan costs were entirely hidden behind a contact-to-quote wall, forcing the agent to acknowledge this gap in the final answer rather than provide complete pricing details.

• ›Step [1] (homepage) provided foundational positioning and meta descriptions that anchored the company's identity as an accessibility-focused WordPress agency; steps [4] and [5] (pricing and about pages) confirmed the geographic focus, service range, and 15+ year tenure, all of which made it into the final answer.
• ›The site published most business information in fetchable, readable form (homepage meta descriptions, About page, Services overview, FAQs), making it agent-ready for discovery and positioning questions. However, the Pricing page itself ([4]) and Care Plans page ([11]) were deliberately sparse on actual dollar amounts—no pricing tiers or cost ranges are listed, only a contact-to-quote model.
• ›The agent had to compensate for incomplete pricing data by explicitly flagging it as 'missing' rather than inferring or guessing; the only concrete pricing mentioned ($4,000–$15,000 range, $5,000 minimum) came from page content, not from a structured pricing table. The site forced a 'light bridge' friction outcome because the agent could explain what Razorfrog does but could not fully answer 'how it's priced' without acknowledging the hidden pricing model.
• ›Web search steps ([7], [9], [10], [13], [14], [15]) were routing/discovery helpers that pointed to pages the agent then fetched directly; the search results themselves did not contain novel pricing or service details, confirming the site requires direct page visits to extract information rather than relying on external aggregation.
• ›Steps [16] and other non-cited fetches (e.g., blog posts about infrastructure choices) were exploratory but did not feed the final answer; the agent correctly prioritized core identity pages (homepage, about, services, pricing, care plans, FAQs) as the authoritative sources and cited them accordingly.