The agent successfully understood nyman.media's core business model, pricing, and differentiation by assembling information from multiple pages across the site. The site is moderately navigable — key pages exist and are reachable, but pricing details and team information lack specificity, and several pages load dynamically with compressed JavaScript that limits content extraction. The agent had to combine fragments from multiple fetches and rely on prior knowledge to fill gaps.

• ›Steps [1, 4, 5, 9, 14] returned homepage, about, services, fractional-cmo detail, and vs. comparison pages — all cited in the final response's sources. These pages established the two-product model (Fractional CMO + NM Signals tool) and the AI visibility differentiation, but specific pricing tiers ($10-25k range breakdown) and weekly cadence details were not explicitly extracted from the fetched content.
• ›Step [3] (pricing page) was fetched but the agent could not extract specific consulting pricing from it — only the $19/month NM Signals tool pricing appears to have been clearly surfaced. The fractional CMO pricing ($10k-25k range) was likely inferred from prior knowledge or search results rather than directly stated on nyman.media's own pricing page.
• ›The site's dynamic JavaScript rendering (all fetches show truncated 4400-char chunks of minified Next.js code) prevented the agent from accessing full page content. The agent compensated by visiting multiple logical pages (about, services, vs.) and conducting web searches to cross-reference pricing and positioning — indicating the site does not publish complete information in a readily machine-readable form.