AI Search Visibility Audit (ChatGPT, Perplexity, Gemini)

Buyers in Dubai, Abu Dhabi and Sharjah increasingly ask ChatGPT, Perplexity, Google AI Overviews, Gemini and Microsoft Copilot for recommendations before they ever click a blue link - and most UAE brands have no idea whether those answer engines mention them, ignore them, or cite a competitor instead. This is a one-time, fixed-price diagnostic that tests exactly how your brand currently surfaces (or doesn't) across the major large language models, then hands you a prioritized report of what to fix to start getting cited.

I run a structured prompt set against real buyer questions for your category - "best [service] in Dubai", "who should I use for [need] in Abu Dhabi", comparison and shortlist prompts - across ChatGPT, Perplexity, Gemini, Copilot and Google AI Overviews, and log where your brand appears, where it's omitted, and which competitors get cited in your place. That feeds a citation-gap analysis: which sources (directories, review sites, your own pages, third-party articles) the engines are drawing on, and which authoritative mentions your competitors have that you lack. I also audit the technical and entity layer LLMs depend on - llms.txt, JSON-LD / schema.org markup, Organization and entity coverage, Knowledge Graph consistency, NAP and brand-name consistency across the web.

This is the diagnostic entry product, not the build. It tells a free-zone or mainland SME, in plain AED-relevant terms, where the gaps are and what to do first. It is distinct from my full GEO - Generative Engine Optimization gig, which is the done-for-you implementation that actually executes the fixes (content, schema, llms.txt, off-site source strategy) over an ongoing engagement. Many clients run this audit first to scope and justify the build; you can take the report and implement in-house, or move on to the full GEO engagement afterwards.

How it works

1. 1
   Scope your category & competitors

   You share your brand, services, target emirates and 3–5 competitors; I build the buyer prompt set around them.

2. 2
   Run the multi-engine tests

   I query ChatGPT, Perplexity, Gemini, Copilot and AI Overviews, logging every mention, omission and citation with screenshots.

3. 3
   Diagnose the gaps

   I analyse citation sources, entity/schema coverage and llms.txt, and map why competitors get cited where you don't.

4. 4
   Deliver the report & call

   You get a prioritized PDF report plus a recorded walkthrough call covering the highest-impact fixes.