GEO Agency in Dubai

Generative Engine Optimization: getting a brand cited in AI search answers from ChatGPT, Gemini and Perplexity.

Generative Engine Optimization is the practice of getting a brand cited by AI search engines rather than ranked in a list of blue links.

FDC's own site runs on the same GEO principles offered here, including a public llms.txt file and structured, source-cited content, which is used as the working example of the approach.

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01 / 02

Traditional SEO ranks a page in a list of links a person clicks through. GEO is read by a language model that synthesises an answer from several sources at once, so the unit of success is a citation or a mention inside that answer, not a position in a results page. That changes what good content looks like: structured, clearly sourced, unambiguous content is easier for a model to cite than persuasive marketing copy.

Entity building, making sure a brand's name, services and facts are stated consistently across the sources an AI model actually reads, matters more in GEO than backlink volume does in SEO. A model forms a view of a brand from what is written about it in aggregate, not from a single optimised landing page.

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AI search tools quote pages that answer a question directly, name the entities involved clearly and are trusted elsewhere on the web. That means writing a short, quotable answer under each question-style heading, using structured data, keeping brand and service names consistent, and earning mentions on sites the models already trust.

GEO builds on SEO rather than replacing it. Pages that rank well in Google are also the pages AI tools find most often.

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How generative engine optimisation worksAn animated diagram: a brand stated consistently across its site, publications, profiles and mentions, all feeding one AI answer that cites it.Be the cited source.A mention in the answer, not a rank in a list.Your sitePublicationsProfilesMentionsAI answerYour brand, cited

AI Search Optimization
Optimize content for inclusion in AI-generated answers.
Entity Building
Strengthen a brand's knowledge graph presence.
Content Strategy for AI
Content formats that AI platforms prefer to cite.
GEO Monitoring
Track brand visibility across AI platforms.

The steps the work runs through, in the order they happen.

  1. 01 / 04

    GEO Audit

    Assess your brand's current visibility in AI-generated responses.

  2. 02 / 04

    Strategy

    Develop a GEO strategy targeting key AI platforms and queries.

  3. 03 / 04

    Optimize

    Implement content and technical optimizations for AI visibility.

  4. 04 / 04

    Monitor

    Track and report on AI search visibility and citations.

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GEO (Generative Engine Optimization) case studies

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FDC UAE Local SEO Experiment

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Frequently asked questions

What is GEO?

Generative Engine Optimization (GEO) is the practice of optimizing your brand and content to appear in AI-generated search results from platforms like ChatGPT, Gemini, and Perplexity.

Is GEO different from SEO?

Yes, while GEO builds on SEO foundations, it focuses specifically on how AI models select and cite sources. It requires different strategies for entity authority and content structure.

How do you track GEO performance?

We track brand mentions across major LLMs (ChatGPT, Google Gemini, Perplexity, Claude), monitor AI Overview appearances for target queries, analyze citation sources, and measure referral traffic from AI platforms. Our reporting shows exactly how often your brand appears in AI-generated answers.

Which AI search engines does GEO cover?

Our GEO services cover all major AI search platforms including Google AI Overviews (SGE), ChatGPT with browsing, Perplexity AI, Microsoft Copilot, Claude, and emerging AI search tools. We optimize for the unique ranking factors of each platform.

How long does it take to see results from GEO?

Initial improvements in AI search visibility can appear within 4-8 weeks as structured content and authority signals build. Sustained brand presence across multiple AI platforms typically develops over 3-6 months.

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