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.

What is Generative Engine Optimization (GEO)?

GEO is the practice of optimizing your brand's visibility in AI-powered search engines like ChatGPT, Google AI Overviews, Perplexity, and Claude. Unlike traditional SEO which targets Google's link-based results, GEO ensures your brand is cited and recommended when users ask AI assistants for recommendations.

How is GEO different from traditional SEO?

Traditional SEO focuses on ranking in Google's blue links using keywords, backlinks, and technical optimization. GEO focuses on getting your brand mentioned in AI-generated responses by building topical authority, structured data, brand mentions across trusted sources, and content that LLMs can easily parse and cite.

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.

GEO Agency in Dubai

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

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Overview

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.

How GEO Differs From SEO

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.

What's Included

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.

Our Process

GEO Audit

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

Strategy

Develop a GEO strategy targeting key AI platforms and queries.

Optimize

Implement content and technical optimizations for AI visibility.

Monitor

Track and report on AI search visibility and citations.

UAE Evidence

FDC Internal Experiment

6 UAE Keywords Ranked in Weeks Using Localised Pages

Local SEOOn-Page SEO

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Frequently Asked Questions

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