A Business Bay restaurant owner once told me she wasn't worried about AI search because her Google ranking for "best brunch Business Bay" had held the top three spots for two years. Three months later a regular customer mentioned he'd asked ChatGPT the same question before booking and gotten a different restaurant entirely, one with a weaker Google position but a cleaner trail of reviews and press mentions the model could actually find. She wasn't losing at SEO. She was losing at something else, and until that conversation she didn't know the something else existed.
The assumption that's quietly wrong
The assumption almost every Dubai retail and hospitality brand makes is that Google ranking and AI recommendation are the same contest, just running on newer software. They aren't. Google ranks a page. An AI assistant answers a question, and it answers using whatever combination of training data and live retrieval convinces it a specific business is the right, current, real answer. A page ranking first on Google can be built entirely around keywords a person would search, while telling a model almost nothing usable about who actually runs the business, where it operates, or what makes it trustworthy enough to name out loud.
This gap shows up hardest in exactly the categories where Dubai has the most competition: restaurants, salons, boutique retail, and short-stay rentals. These are categories where the review volume is dense, but the reviews live in the wrong place. A lot of that data sits behind platforms that don't let outside crawlers, including the ones AI companies use, read it freely. Zomato and Talabat both restrict full review-text scraping. TripAdvisor throttles it heavily. So a restaurant with four hundred genuine five-star reviews on Zomato can look, to an AI model doing its own research, like a restaurant with almost no public reputation at all, simply because the model can't get past the wall to read what's actually there.
Three real gaps, not one
First, walled review data. If your strongest social proof lives entirely inside an app or platform an AI crawler can't index, that proof is functionally invisible to the model, no matter how real or how large it is.
Second, name inconsistency across listings. A boutique in DIFC registered as "Atelier Noor Fashion House" on its DED trade license but branded simply "Noor" on Instagram and its storefront sign creates three different names for one business. A model trying to confirm facts about "Noor" may not connect it confidently to the DED record or the trade license data, and confidence is exactly what determines whether a model names a business at all versus hedging with "I'm not certain, but you could try."
Third, and this one surprises owners the most: freshness. Perplexity re-searches the live web for most queries, so a menu update, a new location, or a price change shows up in its answers within days. ChatGPT leans more on what it learned during training, refreshed periodically, so the same update can take far longer to surface, and there's no dashboard anywhere that tells you exactly when. A restaurant that changed ownership eighteen months ago can still get recommended under the old owner's branding by a model that hasn't caught up, and the business has no direct way to force that update.
A short-stay rental operator in Marina saw a version of the same problem from the other direction. Her listings had glowing guest reviews inside Airbnb and Booking.com, both of which are far more open to indexing than Zomato, so Google and Perplexity both picked her up reliably. ChatGPT still hedged when asked directly about her by name, because outside those two platforms she had almost no independent web presence at all, no press mention, no directory listing, nothing a model could cross-check against the booking-platform data to confirm the business was real and current. Strong reviews in one place aren't the same as a corroborated identity across several, and AI models increasingly want the second thing, not just the first.
What actually moves the needle
Fixing this isn't about chasing a higher Google position. It's about giving AI models a version of your facts they can verify without depending on platforms that wall their data off. That means structured data embedded directly in your own site's code (Schema.org markup for your business name, category, hours, and location), a Google Business Profile that matches your trade license exactly, and, where possible, getting reviews and mentions onto platforms that are actually crawlable, not just popular. A mention on an open food blog or a local publication's listicle can carry more weight with an AI model than fifty reviews trapped inside Zomato's app, purely because the model can reach one and not the other.
The honest limitation here: you can't force Zomato or TripAdvisor to open their data to AI crawlers, and pretending there's a workaround wastes time. The realistic move is treating those platforms as customer-facing tools while building a separate, AI-readable trail elsewhere. Both jobs matter. They're just not the same job, and running one doesn't automatically finish the other.
Checking it yourself before spending anything
Ask ChatGPT and Perplexity "best [your category] in [your Dubai area]" right now, in separate tabs, and read the answers closely rather than skimming for your name. Notice whether the businesses named are ones with a strong open-web trail (press coverage, a well-linked website, consistent directory listings) even when they'd lose head-to-head on review volume inside an app. That pattern, once you see it, is hard to unsee, and it's the clearest proof that the two systems are scoring genuinely different things.
Where Prezlo comes in
Prezlo was built around exactly this gap: it checks what ChatGPT, Perplexity, and Gemini actually say about a business today, across the questions real customers ask, then fixes the specific inconsistencies (name mismatches, missing structured data, thin open-web coverage) that keep a genuinely strong Dubai brand invisible to a model that never sees behind the review-platform walls. For a restaurant or retailer that just realized its Google ranking was never the whole story, running that check costs nothing on Prezlo's free Starter plan, and it answers the "am I actually being recommended" question in minutes instead of a customer conversation you happen to overhear by chance.
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