The agent gathered a substantial understanding of Neurelect's core purpose, target audience, and competitive positioning, but could not retrieve actual pricing details despite the pricing page existing. The site successfully surfaces its identity and market positioning through its homepage, blog, and product pages, but the interactive pricing page did not render in fetched HTML, forcing the agent to rely on web search results and prior knowledge to build its final answer.

• ›Steps [1], [2], [9], [11], [12], [17], [19] returned HTML that confirmed Neurelect is an AI-powered elections intelligence platform for Florida campaigns with voter data, canvassing tools, and natural language analysis—these pages rendered successfully and contained the core positioning.
• ›The pricing page [2] returned a 200 status but the HTML response was truncated/client-rendered JavaScript; the actual pricing numbers were not present in the fetched markup, making it impossible to extract concrete costs despite the page's existence. Search queries [14], [20], [22] also failed to surface pricing details, indicating Neurelect may gate pricing behind a contact form or require JavaScript interaction.
• ›The agent assembled most of its differentiation narrative (Republican focus, founder Joe Zimmerman, AI-first vs. NGP VAN, Florida-exclusive positioning) from web search results [9], [13], [16], [19] rather than from the site's own docs or features pages, suggesting the site does not explicitly compare itself to competitors or articulate differentiation in crawlable text.
• ›Attempted navigation to /features [3] and /about [4] returned 404s, forcing discovery of capabilities through homepage, blog post [11], and product pages (/canvassing [12], /florida-voter-file [17]). The site's information architecture is sparse and does not follow conventional patterns, making structured discovery harder.