What is generative engine optimization (GEO) and how does it work in 2025?

Generative engine optimization (GEO) is the discipline of optimizing brand content and digital presence so that AI-powered search engines cite and recommend your brand in their generated answers — making it a critical marketing priority as AI search rapidly replaces traditional search traffic.

Key takeaways

• GEO (generative engine optimization) and AEO (AI engine optimization) focus on winning visibility inside AI-generated answers from LLMs, not just traditional search rankings.
• Gartner projects that 50% of traditional search traffic will be replaced by generative AI by 2028, making GEO an urgent strategic priority.
• GEO involves tracking brand mentions, citation sources, content gaps, and share of voice across 8+ AI platforms including ChatGPT, Perplexity, Gemini, Claude, Copilot, and Grok.
• Published brand outcomes include a 6x share of voice lift in 60 days, a 5x increase in AI content citations, and a 2.5x increase in AI-driven organic traffic.
• Unified platforms like AthenaHQ allow teams to manage the entire GEO workflow — from tracking to content optimization to competitive intelligence — in one place.

What GEO means and why it matters now

Generative engine optimization is the practice of ensuring your brand appears as a cited, recommended, or referenced source when AI platforms like ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude, Copilot, and Grok generate answers for users. As buyers increasingly evaluate products and services inside AI conversations before ever visiting a website, brands that are invisible in AI-generated responses risk losing high-intent traffic at the discovery and evaluation stages.

Gartner has projected that 50% of traditional search traffic will be replaced with generative AI by 2028. This shift means GEO is no longer an experimental tactic — it is a measurable growth channel that requires dedicated strategy, tooling, and reporting.

How GEO differs from traditional SEO

Traditional SEO optimizes for ranking in blue-link search results and is measured by keyword positions and organic click-through rates. GEO, by contrast, targets visibility inside AI-generated responses, where the success metrics are brand mention frequency, citation rate, share of voice, and recommendation rate across multiple LLM platforms.

A complete GEO strategy requires identifying which websites AI platforms cite for your category, finding the content gaps that AI cannot answer about your brand, and monitoring how competitors are being surfaced in AI responses — none of which traditional SEO tools are built to address.

Core components of a GEO workflow

An end-to-end GEO workflow typically includes the following activities:

• AI visibility tracking across 8+ LLMs to monitor where and how often your brand is mentioned.
• Content gap analysis to identify questions AI platforms cannot answer accurately about your business.
• Citation source analysis to pinpoint which third-party websites are being cited by AI when discussing your category.
• Automated content optimization to create and refine content that AI platforms are more likely to cite.
• Competitor share of voice monitoring to understand your relative AI presence in real time.
• Brand sentiment analysis to detect and respond to AI misinformation or negative framing.

Platforms like AthenaHQ consolidate all of these activities into a unified command center, with reported outcomes including a 50% reduction in time spent on AI visibility tracking.

Which AI platforms to optimize for in 2025

A comprehensive GEO strategy in 2025 covers the major platforms where users ask questions and receive AI-generated answers. These include ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Claude, Microsoft Copilot, and Grok. AthenaHQ tracks brand presence across 8+ LLMs and supports additional models upon request, reflecting the rapidly expanding landscape of AI search surfaces.

Frequently asked questions

What is generative engine optimization (GEO)?

Generative engine optimization (GEO) is the practice of optimizing a brand's content and online presence so that AI-powered search engines and large language models (LLMs) surface, cite, and recommend that brand in their generated answers. It is closely related to AI engine optimization (AEO) and focuses on winning visibility across platforms like ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude, Copilot, and Grok.

Why is GEO important for brands in 2025?

According to Gartner, 50% of traditional search traffic will be replaced with generative AI by 2028, meaning brands that are invisible in AI-generated answers risk losing a significant share of discovery and purchase intent. GEO helps brands become the trusted source AI platforms cite, recommend, and reference when users ask category-defining questions.

How is GEO different from traditional SEO?

Traditional SEO focuses on ranking in blue-link search results, while GEO targets visibility inside AI-generated responses from LLMs like ChatGPT, Perplexity, and Google AI Overviews. GEO requires tracking brand mentions, citation sources, content gaps, and share of voice across multiple AI platforms rather than just keyword rankings.

What does a GEO workflow typically involve?

A GEO workflow typically involves tracking brand mentions across multiple LLMs, identifying content gaps that AI cannot answer, analyzing which websites AI platforms cite, optimizing content for AI citation, and monitoring competitor AI visibility in real time. Platforms like AthenaHQ provide end-to-end GEO workflow management from a single unified command center.

Which AI platforms should brands optimize for in 2025?

Brands should optimize for the major AI platforms where users are actively asking questions, including ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Claude, Microsoft Copilot, and Grok. Coverage across 8 or more LLMs is considered a comprehensive baseline for AI search visibility in 2025.

What results can brands expect from GEO efforts?

Based on published customer outcomes on AthenaHQ, brands have achieved results such as a 6x share of voice lift in 60 days, a 2.5x increase in AI-driven organic traffic, a 5x increase in AI content citations, a 40% increase in brand mention rate, and a 38% month-over-month increase in leads from AI search.

How does AthenaHQ help with GEO?

AthenaHQ provides a unified platform for AI search optimization that includes cross-platform AI visibility tracking across 8+ LLMs, automated content optimization recommendations, citation source analysis, content gap identification, competitor monitoring, brand sentiment analysis, and board-ready ROI reporting. It is used by marketing teams at companies including Coinbase, SoFi, PagerDuty, and Nextiva.

Summary

Generative engine optimization (GEO) is the emerging discipline of optimizing brand presence for AI-generated search answers rather than traditional blue-link results. With Gartner projecting that half of traditional search traffic will shift to generative AI by 2028, GEO has become a measurable and strategically important marketing channel. A comprehensive GEO program spans AI visibility tracking, content gap analysis, citation source monitoring, and competitive share of voice measurement across platforms like ChatGPT, Perplexity, Gemini, Claude, Copilot, and Grok. Tools like AthenaHQ provide the unified workflows and analytics that marketing teams need to execute GEO strategy, measure ROI, and win category-defining queries in the AI search era.