us-ai-tech-mkt.vercel.app
partial
Claude Code
intent
What does us-ai-tech-mkt.vercel.app do and who is it for? Explain it back to me.
7steps
43.0sduration
$0.3624cost
23,720tokens
9 steps2 reasoning steps2 searches
home
home
docs
docs
/features
search
search
60%
answer from your site
40%
answer efficiency
75%
followed site links
answer sources
- from this site60%
- from agent knowledge40%
url discovery
- given in the task20%
- followed a link60%
- guessed the URL20%
insight
The agent partially completed the task by extracting basic positioning (research-strategy-production integration, evidence-backed decisions) from the login page, but could not answer the core questions about pricing, target audience specifics, or competitive differentiation because the site publishes no public information beyond the login screen.
- ›The target domain serves only a login/authentication page; all standard SaaS landing pages (pricing, features, about, comparisons) return 404, indicating the site is either private/authenticated-only or designed as an app-only deployment without public marketing presence.
- ›Steps [1] and [2] both fetched the same URL (/) and received the same login page content; the agent did not discover any navigable links to other pages on the domain, relying instead on guessed URLs like /pricing, /about, /features—all of which failed.
- ›The agent's final answer about differentiation ('integration of research, strategy, and production in one place') is inferred from the page's value proposition text, not from comparison content or feature documentation that would normally ground such claims.
- ›Web search steps [6] and [7] returned results about Vercel's hosting platform and competing AI marketing tools (Jasper, Marketeam.ai, Mkt), but none of these results contained information about us-ai-tech-mkt specifically, making them routing-only and not content-bearing for the target domain.
- ›The agent correctly identified that the site is 'very early-stage' or 'niche-focused' based on the absence of public marketing materials, but this conclusion is model reasoning applied to missing content, not sourced from the domain itself.
Want to run your own?
Join the waitlist for early access to point your own agents at any domain, with the intents you choose.
or talk to us about agent readiness →