TL;DR: AI search engines find a business by retrieving pages from a web index, reading them, and citing the ones that directly answer the question. To be cited, a UAE company needs pages the AI crawlers can fetch, written as direct answers to specific questions, with the business clearly identified and consistent across the web, structured data in place, and Arabic pages for Arabic queries. It is the same discipline as good search optimisation, with more emphasis on quotable, self-contained answers and less on keyword volume.
How does AI search find a business?
AI search finds a business the same way conventional search does, with one extra step. When someone asks ChatGPT, Perplexity or Google a question, the engine retrieves candidate pages from a web index, reads them, generates an answer, and cites the pages whose text supports that answer. Your business appears when a page on your site, or a page elsewhere that mentions you, contains a clear statement that answers the question, and the engine's crawler was allowed to read it. There is no separate registry of businesses for AI engines. There is the web, the crawlers that read it, and the pages that make an answer easy to lift.
For a company in Abu Dhabi or Dubai this is worth taking seriously because a growing share of "who should I call for X" questions are now asked to an assistant rather than typed into a search box, and the assistant gives one answer with a handful of sources rather than ten blue links. Being one of those sources is the whole game.
What is different between the engines?
The engines differ in where they get their index and which crawler fetches your pages. As publicly described at the time of writing:
- Google AI Overviews are generated from Google's ordinary search index and ranking. A page needs to be indexable by Googlebot and ranking for the query to be eligible. The separate Google-Extended control affects Gemini training and grounding, not Search, so blocking it does not remove you from AI Overviews.
- ChatGPT search draws on third-party search providers and OpenAI's own crawling. OpenAI documents a crawler for search citation that is distinct from the crawler used for model training, and each can be allowed or blocked separately in robots.txt.
- Perplexity runs its own index with its own named crawler, and shows citations prominently in every answer.
The practical consequence is that you should make a deliberate decision per crawler. Many UAE sites block every bot with "AI" in its name after reading about training data, and in doing so remove themselves from the search-citation crawlers as well. Allow the search crawlers, decide separately about the training crawlers, and write the decision down.
What makes a page get cited?
Across the engines, cited pages share the same properties. None of them is new to SEO; what changes is the weight.
| Layer | What to check | Why it matters for citation |
|---|---|---|
| Crawlability | robots.txt allows Googlebot and the named AI search crawlers; pages return content as server-rendered HTML; no login or interstitial in front of the content | Several AI crawlers do not execute JavaScript reliably. A page that is empty until scripts run is invisible to them. |
| Answer-first writing | The first paragraph under each heading answers that heading's question in a way that stands alone | Engines lift passages. A passage that needs the surrounding page to make sense is a poor candidate. |
| Entity clarity | Business name, city, services and contact details appear in plain text, consistently, on the site and on third-party listings | Engines corroborate across sources before naming a business. Inconsistent names or addresses reduce confidence. |
| Structured data | Organization or LocalBusiness, Article, FAQPage and BreadcrumbList markup that matches the visible content | Gives the crawler an unambiguous statement of who you are and what the page is, independent of layout. |
| Third-party presence | Google Business Profile, directory listings, LinkedIn, trade bodies, press and partner pages that describe you accurately | A business mentioned only on its own site is a single source. Engines prefer claims that appear in more than one place. |
| Language coverage | Real Arabic pages with hreflang links, not machine-translated copies | Engines answer in the language of the question and cite sources in that language. |
| Freshness and specificity | Pages that address specific questions, updated when facts change, with dates visible | Generic "about us" prose answers nothing. A page on one question is citable for that question. |
Writing pages that an engine can quote
The single biggest change from conventional SEO writing is that the unit of value is the paragraph, not the page. An engine choosing a source for "what does an AMC for fire systems in Dubai typically include" is looking for a paragraph that says exactly that, in full sentences, without depending on the paragraph before it. The structure that works:
- Open with the answer. The first sentences under the title should answer the title's question, naming the subject explicitly rather than with "it" or "this".
- Phrase headings as questions where natural. "How does a renewal engine work?" matches how people ask assistants, and the paragraph beneath it becomes a candidate passage.
- Keep answers self-contained. Each section should survive being lifted out. Repeat the entity name where a pronoun would be ambiguous.
- Add a short FAQ. Five to seven questions, each answered in two to four sentences, first sentence answering directly. Mark it up as FAQPage so the pairs are machine-readable.
- Be specific and defensible. Engines are increasingly tuned to prefer sources that state checkable facts over sources that make claims. Invented statistics are a liability, not an asset.
- State who you are near the top. One plain sentence: what the company does, where it is based, whom it serves. That sentence is what gets quoted when someone asks for a recommendation.
The technical layer
Most of the technical work is conventional, and most UAE business sites have not done it. Serve content as HTML from the server rather than assembling it in the browser; a Next.js site with server rendering does this by default, while many page builders and single-page apps do not. Keep robots.txt explicit about each crawler. Publish structured data that matches what is visible. Use hreflang so the Arabic and English versions of a page are linked and each is served for its language. Keep page speed reasonable, because crawlers have fetch budgets. Include an XML sitemap with accurate last-modified dates. A proposed convention called llms.txt, a plain-text summary of a site for language models, is harmless to add but has not been adopted as a signal by the major engines, so treat it as optional rather than as a lever.
Bilingual matters more here than in conventional search
An assistant asked a question in Arabic answers in Arabic and looks for Arabic sources. A business whose site is English-only is rarely cited for those questions, however strong its English pages. This is a larger effect than in conventional search, where an Arabic query might still surface an English page in the results. Real Arabic pages, written for the Arabic reader rather than translated by a script, with the same answer-first structure, are what make you eligible for that half of the market. Our local SEO guide covers the Google Business Profile side of this, which feeds local answers in both languages.
How to measure whether it is working
- Referral traffic. Visits from ChatGPT, Perplexity and Copilot show up in analytics as referrals from their domains. Create a segment for them and watch it.
- Search Console. Google currently reports AI Overview impressions and clicks inside normal Search totals rather than as a separate line, so movement there is partly AI-driven even when it is not labelled.
- Manual checks. Write down the twenty questions your customers actually ask, run them through each engine monthly, and record who is cited. This is crude and it is the most useful single measure available.
- Ask. Add "how did you find us" to the enquiry form and the first WhatsApp reply. Assistants are now a common answer.
How Soluvide approaches this
We build bilingual sites for UAE businesses with this in mind from the start: server-rendered Next.js, explicit crawler rules, structured data that matches the page, Arabic pages written as Arabic, and answer-first content on the questions customers ask. That is the technical SEO and AI-search readiness work inside our website development service. Because the enquiry an assistant sends usually arrives on WhatsApp, we wire the site's conversion path into the same AI chatbot and agent layer that answers and qualifies it, so a citation turns into a conversation rather than a bounce. For companies with an existing site, the first step is an audit of what the crawlers can actually see, which is often less than the owner assumes.
If you would like to know whether ChatGPT or Google's AI Overviews can find your business today, message us on WhatsApp with your domain and the three questions you most want to be the answer to. We will check and reply within one business day.
Questions
Frequently asked.
When ChatGPT search answers a question, it retrieves pages from a web index, including results from third-party search providers and its own crawler, reads the candidate pages, and cites the ones whose text most directly supports the answer. A business is cited when a page on its site, or a page elsewhere that mentions it, contains a clear, specific statement that answers the user's question and the crawler was allowed to fetch it.
Where this applies