The recommended first engagement
Find the highest-value digital opportunities before committing to the work.
The AI Discovery & Conversion Assessment creates an evidence baseline across search, AI discovery, website conversion, technical health and measurement—then turns it into a practical, prioritised plan.
Scope and fee are confirmed after a short fit conversation. No large implementation commitment is required.
What it answers
Where is the business leaving valuable demand on the table?
The assessment begins with the commercial model—not a generic crawl report. It focuses analysis on the products, services, customers and journeys that matter most.
Discovery
Search performance, AI-mediated discovery evidence where available, technical access, topic coverage and information architecture.
Conversion
Key customer journeys, calls to action, forms, checkout, product selection, mobile friction and the clarity of the proposition.
Measurement
Analytics quality, event coverage, commercial context, lead or revenue visibility, data gaps and realistic attribution boundaries.
Technical foundations
Crawl architecture, semantics, performance, reliability and the engineering constraints that make improvements harder to ship.
The output
A decision document, not an automated audit dump.
Findings are ranked by potential commercial impact, confidence and effort. Every high-priority recommendation includes the evidence behind it, the expected mechanism and how the outcome should be evaluated.
- Executive findings tied to commercial priorities
- Measurement coverage and data-quality assessment
- Discovery, content and buyer-question analysis
- Conversion journey and technical findings
- Prioritised opportunity backlog
- Measurement plan for the highest-value changes
- Recommended implementation path
- Expert review session
Simple to begin
Useful evidence without a six-month data project.
A domain, Search Console, existing analytics and a short business profile are enough to begin. Ecommerce, CRM, booking or call data can enrich the picture, but only when the added complexity improves a real decision.
Business and commercial context
Search and analytics access
Automated technical crawl
Focused stakeholder discussion
Fit
The assessment is likely to make sense when…
- The website materially influences sales, qualified leads or product selection.
- There is existing demand, traffic, customer knowledge or catalogue depth to improve.
- A plausible incremental customer or conversion improvement would be commercially meaningful.
- Someone internally can share business context and act on the findings.
Start with a fit conversation.
Share the website, the commercial context and what feels under-optimised.