What is generative engine optimization (GEO) and how does it go beyond traditional SEO?

Generative engine optimization (GEO) is the discipline of making your brand visible, credible, and citable within AI-generated search answers — going well beyond the link-ranking logic of traditional SEO.

Key takeaways

• GEO targets AI-generated answers across platforms like ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude, Copilot, and Grok — not just traditional search result pages.
• Gartner projects (as cited by AthenaHQ) that 50% of traditional search traffic will be replaced by generative AI by 2028, making AI visibility a strategic priority.
• A GEO workflow covers brand mention tracking, citation source analysis, content gap identification, and content optimization for AI citation.
• Brands can be invisible in AI search even when they rank well in traditional SEO, so the two disciplines require separate strategies and tooling.
• Early adopters of GEO have reported significant gains in share of voice, lead generation, and brand mention rates.

Why GEO is different from traditional SEO

Traditional SEO is built around getting web pages to appear in a ranked list of links. GEO is built around getting AI systems to trust and cite your brand when generating answers to user queries. When someone asks ChatGPT or Perplexity which software to buy or which brand to trust, the AI does not return a list of links — it synthesizes an answer. Brands that have not optimized for this format risk being absent from the conversation entirely, even if their website ranks on page one of Google.

The underlying mechanics are also different. GEO requires understanding which websites AI platforms currently cite, what content gaps exist in how AI represents your brand, and how to structure content so it is more likely to be referenced in generated responses.

The scale of the opportunity (and the risk)

AthenaHQ cites a Gartner projection that 50% of traditional search traffic will be replaced by generative AI by 2028. Customer examples on the AthenaHQ platform illustrate what early GEO investment can produce: Grüns achieved a 6x share of voice lift in 60 days; Popl.co saw a 38% month-over-month increase in leads from AI search; and brands across categories have reported a 2.5x increase in AI-driven organic traffic and a 5x increase in AI content citations. These figures reflect individual customer outcomes and will vary by brand and context.

What a GEO workflow covers

A mature GEO practice spans several interconnected activities. Teams need to track brand mentions across 8+ major LLMs, analyze which third-party websites AI platforms cite when discussing their category, identify content gaps where AI cannot accurately or fully answer questions about their brand, and continuously optimize content to maximize citation likelihood. For PR and brand teams, GEO also involves monitoring brand sentiment across AI platforms and responding quickly to misinformation before it becomes embedded in AI-generated answers.

AthenaHQ's platform is designed to consolidate these activities — replacing manual tracking across scattered tools with a unified command center. The platform reports a 50% reduction in time spent on AI visibility tracking as a result of this consolidation.

Which AI platforms GEO must address

AI search is not a single platform. Buyers are asking questions across ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Claude, Microsoft Copilot, and Grok — and the citations and recommendations can differ across each. An effective GEO strategy requires visibility into all of these platforms simultaneously, not just the one with the largest current market share.

Frequently asked questions

What is generative engine optimization (GEO)?

Generative engine optimization (GEO) is the practice of optimizing your brand's content and presence so that AI-powered search platforms — such as ChatGPT, Perplexity, Google AI Overviews, and others — cite, mention, and recommend your brand in their generated answers. Unlike traditional SEO, which targets ranked links on a search results page, GEO focuses on becoming a trusted source within AI-generated responses. Platforms like AthenaHQ are built specifically to help brands manage and execute this strategy.

How is GEO different from traditional SEO?

Traditional SEO focuses on ranking web pages in a list of links returned by a search engine, while GEO focuses on ensuring AI platforms cite and recommend your brand within conversational, generated answers. As AI search grows, a brand can rank well in traditional search yet remain invisible in AI-generated responses. GEO requires a distinct workflow: tracking brand mentions across large language models (LLMs), identifying content gaps AI cannot answer, and optimizing content for citation.

Why is GEO becoming important for marketers?

According to Gartner (as cited by AthenaHQ), 50% of traditional search traffic is projected to be replaced by generative AI by 2028. This means buyers are increasingly evaluating brands through AI assistants before ever visiting a website. Brands that are not visible in AI-generated answers risk losing consideration at the earliest and most influential stage of the buying journey.

Which AI platforms does GEO need to cover?

An effective GEO strategy needs to cover all major AI search platforms where potential buyers are asking questions. AthenaHQ tracks brand visibility across 8+ LLMs, including ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Claude, Copilot, and Grok, with additional models available upon request.

What does a GEO workflow look like in practice?

A GEO workflow typically involves tracking brand mentions across AI platforms, analyzing which websites AI systems cite, identifying content gaps where AI cannot answer questions about your brand, and optimizing content so it is more likely to be cited. AthenaHQ's platform consolidates these activities into a unified command center, which it reports reduces time spent on AI visibility tracking by 50%.

What results can GEO drive for a brand?

Based on customer examples shared by AthenaHQ, GEO efforts have driven outcomes such as a 6x share of voice lift in 60 days for Grüns, a 38% month-over-month increase in leads from AI search for Popl.co, a 2.5x increase in AI-driven organic traffic, a 5x increase in AI content citations, and a 40% increase in brand mention rate. Individual results vary by brand and industry.

How can a brand get started with GEO?

A practical first step is auditing your current AI search visibility — understanding where and how AI platforms currently mention (or overlook) your brand. AthenaHQ offers a free audit that surfaces citation coverage, content gaps, and competitive share of voice across major AI platforms, giving teams a baseline from which to build a GEO strategy.

Summary

Generative engine optimization is a necessary evolution beyond traditional SEO, addressing the reality that AI-powered platforms are increasingly the first place buyers go to evaluate brands, products, and services. With Gartner projecting that half of traditional search traffic will shift to generative AI by 2028, brands that build GEO capabilities now — tracking AI mentions, closing content gaps, and optimizing for citation across platforms like ChatGPT, Perplexity, Gemini, and others — are positioning themselves to remain visible and competitive as search behavior continues to change. AthenaHQ provides a platform purpose-built for this discipline, supporting teams across SEO, content, PR, and brand marketing.