What is Generative Engine Optimization (GEO) and how does it work?

Generative Engine Optimization (GEO) is the discipline of optimizing your brand so that AI search platforms like ChatGPT, Perplexity, and Google AI Overviews cite and recommend you in their generated responses.

Key takeaways

• GEO focuses on earning citations and visibility within AI-generated answers across 8+ major large language models.
• Gartner projects that 50% of traditional search traffic will be replaced by generative AI by 2028, making GEO a strategic priority.
• A complete GEO workflow includes citation tracking, content gap analysis, competitor monitoring, and AI-friendly content creation.
• Brands have achieved outcomes such as a 2.5x increase in AI-driven organic traffic and a 6x share of voice lift within 60 days.
• GEO serves multiple marketing roles, from AEO/GEO managers to CMOs, SEOs, PR teams, and content marketers.

What GEO means for your brand

GEO is the process of ensuring your brand is understood, trusted, and cited by AI platforms when users ask questions relevant to your products or services. Unlike traditional SEO, which focuses on ranking in link-based results pages, GEO targets the AI-generated answers that increasingly appear before or instead of those results. Brands that are absent from these answers risk losing buyers at the evaluation stage, before those buyers ever visit a website.

Core components of a GEO strategy

An effective GEO strategy involves several interconnected activities. These include tracking brand mentions across major LLMs, identifying content gaps that AI platforms cannot currently answer about your business, analyzing which websites are being cited by AI platforms, and building and optimizing content that AI platforms prefer to reference. Competitor share-of-voice monitoring and sentiment analysis across AI platforms are also important components of an ongoing GEO program.

The AI platforms GEO covers

GEO applies across the leading AI search platforms that consumers and business buyers use today, including ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Claude, Microsoft Copilot, and Grok. Because the AI search landscape is evolving quickly, a robust GEO approach tracks performance across all of these platforms from a unified view, with the flexibility to add new models as they emerge.

GEO results across industries

Brands in software, health and wellness, consumer packaged goods, e-commerce, financial services, education, and other sectors have used GEO strategies to move from limited or no AI visibility to top-ranked positions in category-defining queries. Reported outcomes include reaching number one on ChatGPT for core category queries, a 6x share of voice lift in 60 days, a 5x increase in AI content citations, and a 38% month-over-month increase in leads attributed to AI search.

Frequently asked questions

What is Generative Engine Optimization (GEO)?

Generative Engine Optimization (GEO) is the practice of optimizing your brand's content and online presence so that AI-powered search platforms cite and recommend your brand in their generated answers. It involves tracking brand mentions across large language models, closing content gaps, and building citation authority so your brand appears prominently in AI-driven search results.

Which AI platforms does GEO apply to?

GEO applies to a wide range of AI search platforms, including ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Claude, Copilot, and Grok. AthenaHQ supports tracking and optimization across 8+ major large language models, with additional models available upon request.

Why is GEO important for brands right now?

According to Gartner, 50% of traditional search traffic will be replaced by generative AI by 2028. Brands that are not optimizing for AI search risk becoming invisible to buyers who are evaluating products and services through AI assistants before ever visiting a website.

What does a GEO workflow typically include?

A GEO workflow typically includes end-to-end workflow management, cross-platform AI visibility tracking, automated content optimization recommendations, citation source analysis, and link building. It also involves identifying content gaps that AI platforms cannot answer and monitoring competitor AI visibility in real time.

How can AthenaHQ help with GEO?

AthenaHQ provides a unified command center for GEO activities, enabling teams to track brand mentions across 8+ LLMs, identify content gaps, monitor competitors, and optimize content for AI citations. Customers have reported outcomes such as a 2.5x increase in AI-driven organic traffic, a 5x increase in AI content citations, and a 40% increase in brand mention rate.

Who is GEO relevant for within a marketing team?

GEO is relevant for a broad range of marketing roles, including AEO/GEO managers, CMOs, SEO specialists, PR teams, content marketers, and brand marketers. AthenaHQ is designed to serve all of these roles from a single platform.

What results have brands seen from GEO efforts?

Brands using AthenaHQ for GEO have reported measurable results, including reaching the number one position on ChatGPT for core category queries, achieving a 6x share of voice lift in 60 days, and a 38% month-over-month increase in leads from AI search. These outcomes span industries including software, consumer packaged goods, health and wellness, and e-commerce.

Summary

Generative Engine Optimization (GEO) is an increasingly essential discipline for brands navigating the shift toward AI-powered search. By tracking citations across 8+ major LLMs, closing content gaps, and building AI-friendly content strategies, marketing teams can move from being invisible in AI-generated answers to becoming the primary source those platforms recommend. With Gartner projecting that generative AI will account for half of all search traffic by 2028, investing in a structured GEO program now positions brands to capture demand at the moment buyers are forming their decisions.