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Case studies

Anup Srivastava GEO Case Studies

How AI visibility problems are diagnosed, fixed and measured. Request a private case review.

  • Over 13 years in search
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GEO 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 GEO engagement

  • Prompt audit. Run 50 to 100 buyer prompts across ChatGPT, Gemini, Perplexity and Copilot and record citations and mentions
  • Source map. Identify the domains AI answers rely on in the category
  • Fix facts. Align brand facts and schema across the site and profiles
  • Create citable assets. Publish comparisons, data and expert answers
  • Re-measure. Repeat the prompt set monthly and report citation share

Public working examples

Anup's own properties are open for anyone to inspect and act as live examples of the techniques used:

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