Situation
The website had strong service intent but weak machine readability. The baseline GEO audit found AI crawlers blocked, no llms.txt, no structured data, no FAQ/Article/Service schema, and weak extractable entity signals.
Real self-case study
AICloudStrategist GEO turnaround: 37/100 → 67/100.
This is a real public self-case study based on our own website audit and re-audit. It is not a client case study and does not claim customer revenue, bookings, reviews, or savings.
37Baseline score
67Re-audit score
+30Same-day movement
0Fake client claims
What changed
- Unblocked major AI crawlers in robots.txt.
- Removed the conflicting AI training/crawler signal.
- Published a clear llms.txt with services, contact details, positioning, and claim boundaries.
- Added Organization, WebSite, WebPage, Person, ContactPoint, and Breadcrumb schema.
- Added FAQPage, Article, Service, and Offer schema where relevant.
- Corrected Cloudflare Managed robots settings that were overriding crawler access.
Measured result
The re-audit scored AICloudStrategist at 67/100, up from 37/100. Technical GEO and schema moved sharply because AI systems could now read, classify, and cite the site more reliably.
Boundary: this is internal/public self-proof, not a client success story. It should not be represented as customer revenue, legal compliance, patient bookings, or guaranteed SEO/GEO ranking.
Next improvement target
The audit still highlighted proof, homepage depth, and off-site brand authority. That is why the current roadmap adds honest proof pages, stronger homepage extraction text, populated profiles, real reviews only when earned, and third-party corroboration over time.