The agent assembled a comprehensive explanation of OVO Painting by combining fetched pages (homepage, services, about, FAQ) with web search results that surfaced pricing guides and reviews. The website itself lacks a dedicated pricing page and relies on distributed content across educational resources and dynamic pages; the agent had to search the web to find pricing details that should have been on-site, and relied heavily on prior knowledge to interpret the incomplete HTML responses.

• ›Steps [1], [4], [5], [9] returned truncated Next.js HTML with mostly boilerplate and font preloads; actual content was not visible in raw responses, forcing reliance on search and prior knowledge for substantive details.
• ›Web search steps [11] and [12] were critical: they surfaced pricing guide URLs (interior/exterior cost breakdowns, house-painting-cost resources) and review/services pages that were not directly discoverable from navigation. These became the primary sources for pricing and service details.
• ›The agent cited 5 sources in its final response, all from ovopainting.com domain, but only 2 of those ([11] and [12] search results linking to /resources/house-painting-cost, /resources/interior-painting-cost, /faq) actually contained the detailed pricing ranges quoted in the answer.
• ›The site's dynamic Next.js rendering made it agent-hostile: fetches returned script-heavy shells without content. The agent worked around this by using web search (which indexed the rendered pages) rather than direct site crawling.
• ›Attempted URLs to /pricing, /interior-painting, /exterior-painting all returned 404s, confirming the site structure does not use service-specific detail pages; pricing is buried in /resources guides instead.