aurori.app
success
Claude Code
intent
What does aurori.app do and who is it for? Explain it back to me.
6steps
49.1sduration
$0.0849cost
26,743tokens
8 steps2 reasoning steps2 searches
home
docs
/features
search
search
docs
60%
answer from your site
75%
answer efficiency
67%
followed site links
answer sources
- from this site60%
- from agent knowledge40%
url discovery
- given in the task25%
- followed a link50%
- guessed the URL25%
insight
The agent successfully extracted what Aurori does, who it's for, and how it's priced from the site itself. However, the site provides no explicit competitive positioning, so the agent filled that gap by inferring differences from feature content and applying external knowledge of competing platforms—a workaround that weakened the answer's grounding.
- ›Step [1] (homepage) and step [2] (pricing) provided clear, direct answers about product purpose, target users, and simple $14.99/month pricing model with 3-month free trial—all explicitly stated.
- ›Step [4] (features page) listed capabilities but explicitly did NOT compare Aurori to competitors; the agent noted this absence clearly, acknowledging the site's lack of positioning content.
- ›Step [5] (web search for 'Aurori vs Dubsado 17hats') returned zero results about Aurori—only comparisons between Dubsado and 17hats. The agent correctly reported this null result rather than inventing comparisons.
- ›Step [6] (web search for 'Aurori app photographer reviews') returned generic photography app lists and Aurori's own pages (already fetched), not independent reviews or competitive analysis.
- ›The final answer's 'Differentiators' section is substantially model-inferred reasoning (inferred from feature list + external knowledge of competitors) rather than site-stated positioning, making it the weakest part of the response and likely unreliable for explaining Aurori to someone unfamiliar with the space.
Help the next agent finish on aurori.app
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 →