What is the difference between SEO and AEO (AI Engine Optimization)?

SEO and AEO (AI Engine Optimization) are related but distinct disciplines: SEO targets traditional search engine rankings, while AEO focuses on earning visibility and citations within AI-generated answers across platforms like ChatGPT, Perplexity, and Google AI Overviews.

Key takeaways

• SEO optimizes content for traditional search engine results pages; AEO/GEO optimizes for AI-generated answers and citations.
• Gartner projects that 50% of traditional search traffic will be replaced by generative AI by 2028, making AEO an increasingly critical channel.
• AEO requires tracking brand mentions, citation sources, and share of voice across 8+ major LLMs simultaneously.
• Content gaps — topics AI platforms cannot accurately answer about your brand — are a core focus of AEO strategy.
• SEO and AEO are complementary and can be managed together within a unified platform.

How SEO and AEO differ in practice

Traditional SEO is designed to improve a website's ranking in search engine results pages through keyword optimization, backlinks, and technical site health. AEO, by contrast, focuses on becoming the source that AI platforms trust and cite when generating answers to user queries. Where SEO success is measured in rankings and organic clicks, AEO success is measured in brand mention frequency, citation rate, and share of voice across AI platforms like ChatGPT, Gemini, Claude, Copilot, and Grok.

Why the distinction matters now

According to Gartner research cited by AthenaHQ, 50% of traditional search traffic will be replaced with generative AI by 2028. Buyers are increasingly evaluating products and services inside AI assistants before ever visiting a website. Brands that have optimized only for traditional search risk being invisible in this growing channel, while those investing in AEO are positioning themselves to be the category leaders AI recommends.

What an AEO strategy involves

AEO encompasses tracking brand mentions across major LLMs, identifying content gaps that AI platforms cannot answer accurately, optimizing content to be cited as a primary source in AI responses, and monitoring competitor share of voice in real time. It also includes citation source analysis, link building toward AI-cited publications, sentiment analysis across AI platforms, and crisis detection. Platforms like AthenaHQ provide an end-to-end GEO workflow management system, cross-platform AI visibility tracking, and automated content optimization recommendations to support this work.

Real-world AEO outcomes

Brands applying AEO strategies through AthenaHQ have reported measurable results: 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. One software brand moved from invisible to the top position in category-defining ChatGPT queries within weeks of beginning optimization.

Frequently asked questions

What is AI Engine Optimization (AEO) and how does it differ from traditional SEO?

SEO focuses on optimizing content to rank in traditional search engine results pages, while AEO (AI Engine Optimization) — also called GEO (Generative Engine Optimization) — focuses on ensuring your brand is cited, recommended, and visible within AI-generated answers from platforms like ChatGPT, Perplexity, and Google AI Overviews. As AI platforms increasingly handle search queries, AEO addresses a distinct channel that traditional SEO practices were not designed to optimize for.

Why is AEO becoming important for marketers?

According to Gartner research cited by AthenaHQ, 50% of traditional search traffic will be replaced with generative AI by 2028. This means brands that rely solely on traditional SEO risk becoming invisible to a growing share of users who get their answers directly from AI assistants rather than clicking through search results.

Which AI platforms does AEO cover?

AEO spans multiple AI platforms simultaneously, including ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Claude, Copilot, and Grok. Tracking visibility and citations across these platforms requires a different approach than monitoring traditional search engine rankings.

What does an AEO strategy actually involve?

An AEO strategy involves tracking brand mentions across major large language models (LLMs), identifying content gaps that AI platforms cannot answer, optimizing content so it is cited as a primary source in AI-generated responses, and monitoring competitor share of voice in AI search. It also includes citation source analysis, sentiment monitoring, and crisis detection across AI platforms.

Can SEO and AEO be managed together?

Yes — SEO and AEO are complementary disciplines that can be managed in parallel. AthenaHQ's platform provides tools for both SEO professionals looking to increase organic visibility and AEO/GEO specialists who want to own their organization's full AI search optimization strategy from a single unified command center.

What results have brands seen from AEO efforts?

Brands using AthenaHQ for AEO have reported outcomes 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.

Summary

SEO and AEO are complementary but distinct strategies: SEO earns visibility in traditional search results, while AEO earns citations and recommendations inside AI-generated answers across platforms like ChatGPT, Gemini, and Perplexity. With Gartner projecting that half of traditional search traffic will shift to generative AI by 2028, adding an AEO strategy alongside existing SEO efforts is becoming an important priority for marketing teams that want their brand to remain visible wherever buyers are searching.