July 24, 2026
What an AI readiness scan actually measures
What Lumenyl’s public site scan looks at—and what it cannot replace in a full AI consulting engagement.
Our public site scan is a baseline: paste a URL, get scored pillars for AI, security surface, marketing, performance, and privacy.
What it looks at
Public HTML and metadata, robots and sitemap hints, structured data, TLS and security headers, a short list of well-known public paths, and—when configured—Google PageSpeed. The goal is directional honesty.
What it does not replace
It is not a pentest, a POPIA audit, or a full architecture review. Internal data quality, private API access, process ownership, and change capacity still require human consulting. The scan is a lead magnet and conversation starter.
How to use the result
Treat a low score as a cue to fix foundations before buying more tools. Treat a higher score as permission to prioritize a thin vertical slice—not as proof you are “done” or “secured.”
Next steps
Run the scan, read the AI readiness checklist, then contact if you want an architecture path tied to your real stack.
Related insights
- From AI pilot to production habit
Why AI pilots stall—and how AI consulting turns a thin vertical slice into an operational habit with ownership and metrics.
- How mid-market teams evaluate AI consultants
A buyer’s guide to evaluating AI consulting partners: signals of substance, red flags, and questions that separate builders from slide decks.
- Integrating AI with systems of record
How AI consulting teams wire models into CRM, ERP, and ops tools so copilots act on truth—not guesses.