AI SEO case studies document how a visibility problem was diagnosed, what was changed and how the result was measured. Client names and numbers are shared privately and only with permission, so this page explains the method and the evidence you will see in a real case review.
What every case study includes
- The starting baseline: rankings, traffic, leads and AI visibility on a fixed prompt set
- The diagnosis: technical, content, entity and authority gaps
- The actions taken, in order, with dates
- The measured change after a defined period, with the method explained
- What did not work, and what was learned
A typical AI SEO engagement
- Baseline. Classic SEO audit plus AI answer audit
- Technical access. Fix crawler access, rendering and speed
- Entity work. Consistent facts, schema and profiles
- Content. Answer-ready pages with evidence and authorship
- Authority. Digital PR and third-party mentions, then monthly reporting
Public working examples
Anup's own properties are open for anyone to inspect and act as live examples of the techniques used:
Ask for a private case review relevant to your industry
Call or WhatsApp +91-8840146999, or send an enquiry and get a reply within one working day.