xtarc.agency
success
Claude Code
intent
What does xtarc.agency do and who is it for? Explain it back to me.
5steps
29.9sduration
$0.1812cost
17,723tokens
7 steps2 reasoning steps
home
docs
/services
home
home
80%
answer from your site
40%
answer efficiency
100%
followed site links
answer sources
- from this site80%
- from agent knowledge20%
url discovery
- given in the task20%
- followed a link80%
insight
The agent successfully gathered a comprehensive overview of Xtarc's positioning, services, and pricing model from the homepage alone. The site was moderately navigable but lacked depth: it presented a clear value proposition and service list, but withheld specific pricing details and offered limited detail on how they differ from competitors.
- ›The homepage contained all essential information in a single fetch (step [1]); the agent did not need to follow links to assemble the core answer, making the site self-contained but also suggesting limited internal navigation depth.
- ›Attempted navigation to /pricing and /services returned 404 errors (steps [2]–[3]), indicating poor URL structure or routing—the site advertises these sections but does not expose them via standard paths.
- ›Pricing information was deliberately vague on the site ('custom per-project' with 50/50 split but no price ranges); the agent correctly identified this as a gap and noted the reliance on a discovery call, rather than inferring costs from model memory.
- ›The agent identified the 'AI Agents & Automation' service as genuinely ambiguous from the site's own description, not due to a failed fetch—site positioning itself was unclear on scope and deliverables.
- ›The final response acknowledged missing competitive context explicitly ('Their site doesn't acknowledge who they're competing against'), indicating the agent recognized a gap in what the site exposed rather than relying on external knowledge to fill it.
See every agent that visits xtarc.agency
Front builds the agent version of your site and shows which agents visit, what they came for, and what your pages couldn't answer.
or talk to us about agent readiness →