How to get your UAE business recommended by ChatGPT and Gemini

Your next customer may never see your website. They will ask ChatGPT or Gemini for a shortlist, read the three to five names the assistant gives, and call two of them. A randomised field study published in April 2026 found that Google's AI Overviews alone cut organic clicks by 38% on the queries where they appear. If an assistant does not name you, you are simply not on the shortlist, and there is no second page to fight for. The good news is that what makes an assistant name a company is knowable, testable and mostly within your control, and you can audit exactly where you stand in one afternoon.

The short answer to "how do I get my business recommended by ChatGPT?": assistants recommend businesses that (1) present one consistent set of facts, meaning name, address, phone, services and prices, everywhere they appear; (2) publish those facts in machine-readable form, meaning schema markup and plain, answer-first text; (3) are corroborated by third-party sources the models already read, meaning directories, reviews, industry lists and press; and (4) do not block the crawlers that feed them. That is 80% of the game, and none of it requires an agency retainer. Note the structure of that paragraph: direct answer first, then the detail. It is also the single most effective content pattern for getting cited, as you will see below.

What changed, and what it is costing you

Two pieces of evidence, one from each side of the search box.

On the publisher side, researchers at the Indian School of Business and Carnegie Mellon University ran the first randomised field experiment on Google's AI Overviews, between January and February 2026, using a Chrome extension that randomly hid the summaries for 1,065 US desktop users. As Search Engine Journal reported, AI Overviews appeared on 42% of queries; hiding them raised outbound clicks from 0.38 to 0.61 per search, a 38% reduction in organic clicks on triggered queries, with zero-click searches rising from 54% to 72%. Over 95% of participants never noticed the summaries were gone, and reported satisfaction did not change. In other words: the summaries absorb traffic, and users do not miss your site. Pew Research Center found the same pattern earlier: in March 2025, 18% of 68,879 tracked Google searches produced an AI summary, and users clicked a result in 8% of those visits versus 15% when no summary appeared. Critically, Pew also found that 60% of searches beginning with question words produced an AI summary. Question-style prompts, exactly the prompts buyers use to build shortlists, are the ones being answered before anyone reaches a website.

On the buyer side, the shift is no longer speculative. BrightLocal's Local Consumer Review Survey 2026, a panel of 1,002 US consumers, found that 45% had asked an AI tool for a local business recommendation in the previous 12 months, up from 6% a year earlier. ChatGPT led at 31%, ahead of Google's AI Mode at 23%. AI is now the third most used tool for local recommendations, behind only Google and Facebook, and ahead of Yelp and TripAdvisor. Among 30 to 44 year olds, the core buying demographic for B2B services, 64% have asked an AI for a recommendation.

The UAE is further along than the global average. Microsoft's Q1 2026 AI diffusion research ranked the UAE first in the world, with 70.1% of the working-age population using generative AI, and reported consumer research finds 79% of UAE respondents comfortable letting an AI complete a purchase for them. Dubai agencies, including Innate Technologies and NxFold, are now actively selling generative engine optimisation (GEO) to GCC businesses. Most UAE SMEs have done nothing about it yet, which is precisely why the field is open: the bar for being the cited name in your category is still low.

How assistants actually build a shortlist

An assistant does not rank you the way Google ranks pages. It retrieves candidate sources, extracts facts from them, and synthesises an answer, naming a handful of sources as it goes. Understanding that pipeline tells you exactly where to put your effort.

ChatGPT's search runs on live retrieval through the OAI-SearchBot crawler. OpenAI's documentation is blunt: "Sites that are opted out of OAI-SearchBot will not be shown in ChatGPT search answers." Separately, ChatGPT-User fetches specific pages when a user's request triggers it, and OpenAI notes that because those fetches are user-initiated, robots.txt rules may not apply. Training crawlers like GPTBot are an independent setting: you can allow search visibility while blocking training, and robots.txt changes take effect within roughly 24 hours.

Google's Gemini and AI Overviews draw from Google's own index. Google's Search Central guidance on AI features states that to be eligible as a supporting link in AI Overviews or AI Mode, a page must simply be indexed and snippet-eligible: "There are no additional technical requirements." Both features use "query fan-out", issuing multiple related searches across subtopics, which widens the set of pages that can be pulled into an answer. Google explicitly tells site owners to keep Business Profile and Merchant Center information up to date.

What sources do they actually pull from? Pew found the most cited sources in AI summaries are Wikipedia, YouTube and Reddit, together accounting for 15% of listed sources. BrightLocal ran 20 local searches across 10 industries on four engines and found every LLM leaned on directories: Yelp appeared as a source in 33% of searches, long-standing directories like MapQuest still get used, and industry-specific directories dominate their verticals, with legal searches sourcing heavily from Superlawyers and Findlaw. Your Google Business Profile, directory listings and the "best X in Dubai" listicles in your category are the raw material of the shortlist.

The five signals that decide whether you get named

1. One consistent set of facts, everywhere. Assistants assemble an internal model of your business entity. Your legal name, trading name, address, phone, licence details, founding year, services and price ranges must be identical across your website, Google Business Profile, LinkedIn and every directory. Contradictions make you ambiguous, and ambiguous entities get dropped in favour of clean ones. Write one canonical 25-word description of what you do and use it verbatim everywhere.

2. Machine-legible facts on your own site. Schema.org JSON-LD markup (LocalBusiness, Service, FAQPage) tells the model unambiguously who you are, and answer-first structure gives it something quotable. The GEO research paper from Princeton and IIT Delhi, published at KDD 2024, benchmarked these methods across 10,000 queries and found that adding statistics, quotations and source citations to content lifted visibility in generated answers by 30 to 40% relative, with overall improvements up to 40%, and 37% on Perplexity. Concrete numbers, dates and named experts are what get lifted into answers; adjectives get synthesised away.

3. Corroboration from third parties. A model repeating a claim about you wants evidence it is true. Mentions in directories, industry lists, awards and press, where your facts are stated plainly, are the corroboration. Field observations from GCC agencies consistently show ChatGPT drawing far more heavily on earned, third-party pages than on brand websites themselves.

4. Reviews on platforms the models can read. BrightLocal's CEO put it precisely: ChatGPT and other LLMs "can't see inside Google's walled garden of reviews. If your reputation only exists on Google, you are effectively invisible to the millions of people using ChatGPT to find local services." Their survey also found 88% of AI users fact-check what they are told, 51% checking that cited reviews are real and 37% checking the source. So the review profile that the assistant summarises must also survive the human who checks it.

5. Nothing in the way. None of the above matters if OAI-SearchBot or Googlebot gets a 403 from your firewall. This is the most common silent failure we see: a security sweep blocks "AI bots" and the business disappears from answers without ever knowing why.

The one-afternoon audit: a worked example

Here is the audit as a concrete scenario, a composite of a fit-out firm like those we see across Dubai. Al Meraki Interiors is a 30-person commercial fit-out contractor in Al Quoz. It ranks respectably in Google Maps for "fit out contractor Dubai" but is never named by assistants. Total time: one afternoon.

14:00 to 14:40, write the prompt list. Twelve questions customers actually ask, pulled from Google Business Profile query data and sales calls: "best fit out contractors in Dubai", "office fit out company for a 200 square metre office in Business Bay", "fit out contractor near Al Quoz", "how much does an office fit out cost per square metre in Dubai", "fit out companies in Dubai that handle DEWA and civil defence approvals", and their Arabic equivalents, such as "شركات تشطيب مكاتب في دبي". Include price and comparison prompts deliberately: models preferentially cite content containing specific figures.

14:40 to 15:40, run the prompts. Twelve prompts across four assistants (ChatGPT with search, Gemini, Perplexity, Copilot) is 48 checks. Use a fresh chat per prompt so earlier answers do not contaminate later ones. Perplexity is fastest to audit because it shows its citations. For each check, log: were you named, in what position, how were you described, and which sources did the assistant cite.

15:40 to 16:10, tally the results. Al Meraki is named in 2 of 48 checks (4%). Its main competitor, Zenith Fitouts, is named in 29 of 48 (60%). The description is also wrong twice: "does villa renovations", when Al Meraki does commercial fit-outs. The cited sources across all answers: Google Maps and Business Profile pages, Yellow Pages UAE, one "Top 10 fit out companies in Dubai" listicle, a Reddit thread on r/dubai, two LinkedIn company pages and one Arabian Business article.

16:10 to 17:00, diagnose. The robots.txt disallows OAI-SearchBot (a developer blocked "AI bots" during a bot-mitigation sweep, months earlier). The GBP description is two years stale, the rating sits at 3.6 with unanswered reviews. Service pages are one-liners with no prices and no schema. The firm is absent from the listicle, Yellow Pages UAE and Clutch.

17:00 to 17:30, rank the fixes. The output of the audit is two artefacts: a scorecard (your baseline) and a source list (your work order).

The technical fixes, in order of return

Unblock the search crawlers. Your robots.txt should explicitly allow the retrieval bots. Whether you also allow training crawlers (GPTBot, Google-Extended) is a separate decision: OpenAI documents search and training as independent settings, and Google notes Google-Extended controls training and grounding in its other systems without affecting Search itself.

# Let AI search crawlers read your site
User-agent: OAI-SearchBot
Allow: /

User-agent: ChatGPT-User
Allow: /

User-agent: PerplexityBot
Allow: /

User-agent: Googlebot
Allow: /

User-agent: Bingbot
Allow: /

Test that they can actually reach you. robots.txt is only half the problem; firewalls and CDNs silently return 403s to crawlers. OpenAI's own guidance warns that Cloudflare and similar services frequently block legitimate crawlers and should be allowlisted by user agent. One command settles it:

curl -I -A "Mozilla/5.0 (compatible; OAI-SearchBot/1.4; +https://openai.com/searchbot)" \
  https://www.yoursite.ae/services

HTTP 200 means you are reachable. A 403 or a challenge page means the firewall is eating your citations, and OpenAI's IP ranges are published at openai.com/searchbot.json if your security team insists on IP allowlists.

Mark up your entity. On every page that describes the business, ship schema that matches your visible text (Google's guidance is explicit that structured data must match what users see, and never fabricate review or rating markup):

{
  "@context": "https://schema.org",
  "@type": "LocalBusiness",
  "name": "Al Meraki Interiors LLC",
  "description": "Commercial fit-out contractor in Dubai serving offices and retail units.",
  "url": "https://www.example.ae",
  "telephone": "+971-4-000-0000",
  "priceRange": "AED 150,000 to AED 3 million",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "Unit 12, Al Quoz 3",
    "addressLocality": "Dubai",
    "addressCountry": "AE"
  },
  "areaServed": { "@type": "Country", "name": "United Arab Emirates" },
  "sameAs": [
    "https://www.linkedin.com/company/al-meraki-interiors",
    "https://maps.google.com/?cid=000000000"
  ]
}

The sameAs array is doing quiet, important work: it binds your website entity to your verified profiles, which is precisely the corroboration a model looks for.

Rewrite your top service pages answer-first. Under each question heading, lead with a 40 to 60 word direct answer, then expand. Add real numbers: price ranges, timelines, approvals handled, client counts. The Princeton GEO paper's finding that statistics, quotations and citations lift visibility 30 to 40% was measured on exactly this kind of edit. An llms.txt file at your domain root, mapping your most citation-worthy pages, costs an hour and is worth shipping while adoption is still early.

Earn the citation: the off-site half

On-site work makes you eligible; off-site corroboration gets you named.

Listings first. In the UAE, the set that matters: Google Business Profile (bilingual description, current hours, photos), Yellow Pages UAE, the Dubai Chamber of Commerce directory, your DED and free-zone registers (DMCC, DIFC, ADGM), LinkedIn, and Clutch for B2B or Trustpilot for consumer services. Identical name, address, phone and description everywhere. The BrightLocal source study is unambiguous: every major engine leans on directories, and free-zone registration and certifications act as authority signals when they are stated in third-party sources, not just your own site.

Reviews, spread deliberately. Ask every client for a review, and direct them across two or three platforms the models read rather than hoarding everything on Google. Answer every review, positive and negative; the 88% of AI users who fact-check will see the response history. Reviews with specifics ("redesigned our 400 square metre clinic in six weeks") give assistants quotable, verifiable material.

Get into the sources that were cited in your audit. That source list from the afternoon is your media plan. Pitch the listicle publishers. Pitch trade press and the regional business titles (Gulf News, Khaleej Times, Arabian Business) with news, data or expert commentary. Every sentence a third party writes in the form "X is a Dubai-based company that does Y for Z" is a sentence a model can reuse verbatim.

Take the Arabic opportunity seriously. The citation pool for Arabic-language AI answers is extraordinarily thin, because most UAE businesses publish English only or machine-translate it. Native Arabic pages, correctly structured right-to-left, with hreflang pairs to the English versions and bilingual schema, can make you the default cited source for Arabic prompts in your category while competitors are still auto-translating. One caution as you collect customer data across these surfaces: keep review collection and profiling aligned with the UAE Personal Data Protection Law, not as an afterthought.

Make it measurable: the monthly prompt panel

GEO has no single rank number, which is why most businesses never measure it. Do what the audit did, monthly. Fix 15 to 25 prompts, run them across ChatGPT, Gemini, Perplexity and Copilot, log named-or-not, position, description accuracy and cited sources, and track your share of mentions against the two or three competitors who matter. Every inaccurate description is a correction item, not a curiosity.

Then connect it to revenue. In GA4, segment referral traffic from chatgpt.com, perplexity.ai, gemini.google.com and copilot.microsoft.com; OpenAI confirms that ChatGPT automatically appends utm_source=chatgpt.com to referral URLs, so the segment is trivial to build. In Search Console, AI surface traffic is included in the overall Performance report under the Web search type. In your server logs, watch for OAI-SearchBot, PerplexityBot and Googlebot visits to your key service pages: crawls are the leading indicator, mentions are the lagging one.

What to do next

The sequence, compressed:

1. This afternoon: run the audit. Twelve prompts, four assistants, one scorecard. You cannot manage what you have not measured, and this measurement costs nothing.
2. Week 1: fix robots.txt, verify crawler access with the curl test, refresh your Google Business Profile and Bing Places. These are hours, not weeks.
3. Weeks 2 to 6: complete the directory set with your canonical description, start the review programme, ship schema, and rewrite your five most important service pages answer-first with real numbers.
4. Weeks 6 to 12: publish native Arabic pairs for your top pages, pursue the listicle and press sources your audit surfaced.
5. Monthly, indefinitely: run the prompt panel and read the GA4 AI referral segment.

If you would rather not build this in-house, it is squarely the kind of work we do under digital transformation: map how the business presents itself, connect the profiles and data, then build the site, content and campaigns that bring customers in. Either way, start with the audit. Finding out that an assistant describes you wrongly, or not at all, takes one afternoon, and it is the cheapest competitive intelligence you will collect this year.

https://www.azrty.com/blog/how-to-get-your-uae-business-recommended-by-chatgpt-and-gemini

<a href="https://www.azrty.com/blog/how-to-get-your-uae-business-recommended-by-chatgpt-and-gemini">How to get your UAE business recommended by ChatGPT and Gemini</a> (Azrty)