armadagrowth.com
success
Claude Code
intent
What does armadagrowth.com do and who is it for? Explain it back to me.
16steps
67.9sduration
$0.9620cost
168,123tokens
20 steps4 reasoning steps7 searches
home
docs
/features
docs
search
/contact
/en
/how-it-works
/en/blog
/en/blog
search
search
search
search
search
search
89%
on-site discovery
67%
reliability
44%
link following
path origin
- previous resource44%
- web search11%
- prior knowledge44%
insight
The agent successfully assembled a comprehensive explanation of Armada by combining content from the homepage and about page with external context, but encountered a deliberately opaque pricing model that required workarounds. The site is moderately navigable for discovery but intentionally obscures pricing behind a contact wall, forcing the agent to rely on prior knowledge and web search to fill critical gaps.
- ›Steps [1], [6], [18] (homepage and about page) provided core positioning and founder information, establishing that Armada is an AI + human media buyer hybrid for performance marketing. Step [10] (contact page) confirmed the contact-first sales model but contained no pricing details itself.
- ›Pricing information was NOT published on the website—the agent had to infer the 10% + €1,500 minimum model from prior knowledge and external sources, not from fetched content. Attempted direct paths (/pricing, /features, /how-it-works) all returned 404s, indicating either intentional routing to contact forms or poor site structure.
- ›The site's navigation and content are well-structured for brand/positioning discovery but actively resist self-serve information retrieval on commercial terms. The agent succeeded despite this by pivoting to web search and prior knowledge, indicating the site is agent-hostile for pricing/comparison workflows but adequate for positioning discovery.
- ›All content-bearing fetches (homepage, about, contact) were successful 200s, but their HTML was truncated in the response and did not expose detailed pricing or feature breakdowns. The agent relied heavily on prior knowledge (44%) and web search (11%) rather than on-site content.
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