digitalworks.ie
success
Claude Code
intent
What does digitalworks.ie do and who is it for? Explain it back to me.
3steps
33.6sduration
$0.0058cost
18,212tokens
4 steps1 reasoning step
home
/home
docs
100%
answer from your site
67%
answer efficiency
100%
followed site links
answer sources
- from this site100%
url discovery
- given in the task33%
- followed a link67%
insight
The agent successfully retrieved and synthesized the site's main value proposition, target sectors, and pricing from two fetches (homepage and pricing page), then accurately catalogued gaps in contract terms, billing, and proof points. The site is moderately agent-ready: core business facts are accessible and clearly stated, but contract and support details are sparse, and some pricing ranges lack transparent calculation bases.
- ›Step [1] (homepage) was the primary content source: it contained the complete service catalog, target sectors, all pricing tiers, and the stated differentiators (free report with 32 checks, agreed success metrics, no SEO guarantees, broad tool set). This information was well-organized and explicit.
- ›Step [2] (pricing page) confirmed and slightly expanded Phase 1 and Phase 2 pricing, clarified add-on costs (e-store, AI training by hour), and resolved minor pricing ambiguities from the homepage—but introduced new confusion (E-Store placement under Bespoke vs. 'any package' claim; Bespoke monthly range €1,000–€5,000 with no stated basis).
- ›The agent did not fetch /services, /about, /who-we-help, /our-work, or /free-check—all linked from the homepage. Absence of these steps was acknowledged in the final response and correctly attributed to incompleteness rather than site failure. Case studies and proof points remain unverified.
- ›Contact information was sparse: no phone, email, or address listed; only the free report form at /free-check offered a contact route. This is a navigability gap that the agent correctly flagged.
- ›The site publishes pricing and services in human-readable narrative form (homepage) and tabular form (pricing page) rather than structured markup (JSON-LD, microdata). The agent extracted facts accurately but had to synthesize answers from fragments across two pages.
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