qimpact.co.uk
success
Claude Code
intent
What does qimpact.co.uk do and who is it for? Explain it back to me.
18steps
77.2sduration
$1.0382cost
279,001tokens
20 steps2 reasoning steps7 searches
home
docs
docs
/services
/work
/contact
search
/review/qimpact.co.uk
search
/people
docs
search
sitemap
/studio
search
search
search
search
91%
on-site discovery
55%
reliability
36%
link following
path origin
- previous resource36%
- web search9%
- prior knowledge55%
insight
The agent successfully assembled a comprehensive overview of Quantum Impact by fetching the homepage, work portfolio, contact page, people page, studio page, and sitemap. The site is moderately navigable but deliberately opaque on pricing and service boundaries — the agent had to rely on fragments from multiple pages and prior knowledge (55% of fetches) to construct a coherent picture. A dedicated pricing or services page does not exist (404s on /pricing, /about, /services, /blog), forcing the agent to infer the business model from scattered CTAs and team structure hints.
- ›The homepage ([1]) and sitemap ([13]) provided the core structure (four teams, Derby location, integrated services), but no pricing or differentiation details. The agent had to cross-reference the /people ([10]), /work ([5]), /studio ([14]), and /contact ([6]) pages to piece together the full offering.
- ›Pricing information is entirely absent from the site. The agent correctly identified that no public pricing model is disclosed and that the site uses a consultative 'book a call' approach, inferred from CTA copy rather than from a structured pricing page.
- ›The site's information architecture is sparse — only 5 live pages in the sitemap (/work, /contact, /studio, /people, root) — and traditional discovery routes (/pricing, /about, /services, /blog) all 404, forcing the agent to either guess URLs or extract meaning from minimal homepage/footer copy.
- ›The agent relied on 55% prior knowledge and 36% previous artifact (likely cached pages) to fill gaps, indicating the site does not publish structured metadata (schema.org, JSON-LD) or machine-readable service/pricing data that would have reduced guessing.
- ›Web search ([7], [9], [15]–[18]) added little value; most results pointed back to the same /people page or to unrelated competitors, confirming the site has low external visibility and minimal third-party review coverage.
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