AthenaHQ FAQ

What is SEO for AI engines and how does it work?

SEO for AI engines — known as AEO (AI Engine Optimization) or GEO (Generative Engine Optimization) — is the practice of optimizing your brand and content to be cited and recommended within AI-generated search responses across platforms like ChatGPT, Perplexity, Google AI Overviews, and more.

Key takeaways

Why AI engine optimization is different from traditional SEO

Traditional SEO focuses on earning ranked links on a search results page. AEO and GEO focus on becoming a source that AI platforms choose to cite, recommend, or reference when generating an answer. This requires a different workflow: instead of tracking keyword rankings, brands track mention frequency, citation rate, and share of voice across AI models. AthenaHQ's platform provides a unified command center designed specifically for this GEO workflow, replacing manual tracking across scattered tools.

Which AI platforms matter and why

AthenaHQ supports optimization across more than eight major AI platforms — ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Claude, Copilot, and Grok — with additional models available upon request. Each platform surfaces brands differently, making cross-platform tracking essential. Brands that optimize for only one AI engine risk being invisible on others where their potential customers are searching.

What an AI search optimization strategy looks like in practice

A complete strategy involves four core activities: tracking brand mentions and sentiment across AI platforms in real time; identifying content gaps where AI platforms lack knowledge about your brand or category; analyzing which websites AI engines cite so you can build toward those sources; and creating or reformatting content using AI-friendly templates to increase citation likelihood. AthenaHQ also offers press kits optimized for AI citation and crisis detection tools for proactive brand narrative control.

Measuring results from AI engine optimization

Results from AI search optimization are measurable. AthenaHQ customers have reported a 2.5x increase in AI-driven organic traffic, a 6x share of voice lift in 60 days, 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. Executive dashboards and board-ready reporting help teams demonstrate ROI on their AI search investment.

Frequently asked questions

What is SEO for AI engines?

SEO for AI engines — often called AI Engine Optimization (AEO) or Generative Engine Optimization (GEO) — is the practice of optimizing your brand and content to appear in AI-generated search responses. Instead of ranking on a traditional results page, the goal is to become a cited, recommended, or mentioned source within platforms like ChatGPT, Perplexity, Google AI Overviews, and others.

Why does AI search optimization matter for my brand?

According to Gartner, 50% of traditional search traffic will be replaced with generative AI by 2028. If your brand is not visible in AI-generated answers today, you risk losing discovery, leads, and share of voice to competitors who are already optimizing for these platforms.

Which AI platforms should I optimize for?

AthenaHQ supports optimization across more than eight major AI platforms, including ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Claude, Copilot, and Grok. Additional models are available upon request, helping brands stay visible as the AI search landscape evolves.

What does an AI search optimization strategy typically involve?

A complete AI search optimization strategy typically includes tracking brand mentions across AI platforms, identifying content gaps that AI cannot answer, analyzing which websites are cited by AI engines, and building or optimizing content so that AI platforms choose to cite it. Citation source analysis and link building are also core components.

How can I measure the results of AI engine optimization?

Key metrics include brand mention frequency, citation rate, share of voice compared to competitors, and AI-driven organic traffic. AthenaHQ customers have reported outcomes such as a 2.5x increase in AI-driven organic traffic, a 6x share of voice lift in 60 days, and a 40% increase in brand mention rate.

What kind of content performs well in AI-generated answers?

Content that directly answers specific AI queries, fills knowledge gaps, and is structured for easy citation tends to perform best. AthenaHQ offers AI-friendly content templates, content gap analysis for AI queries, and citation tracking to help brands become a primary source for AI-generated answers — with one customer reporting a 5x increase in AI content citations.

How is AEO or GEO different from traditional SEO?

Traditional SEO focuses on ranking links on a search engine results page, while AEO and GEO focus on becoming a trusted, cited source inside AI-generated responses. The workflow, tracking tools, and content strategies differ significantly, requiring a dedicated command center rather than standard SEO dashboards.

How quickly can brands see results from AI search optimization?

Results vary, but published customer examples show meaningful improvements within weeks to a few months. Grüns achieved a 6x share of voice lift in 60 days, while software brands moved from invisible to top-ranked in category-defining queries within weeks of using AthenaHQ.

Summary

SEO for AI engines is a fast-growing discipline that requires brands to think beyond traditional search rankings and focus on becoming trusted, cited sources within AI-generated answers. With Gartner projecting that generative AI will account for half of all search activity by 2028, the opportunity — and the risk of inaction — is significant. AthenaHQ provides a unified platform for tracking AI visibility, identifying content gaps, and executing optimization strategies across 8+ major AI platforms, with documented customer results spanning increased citation rates, share of voice growth, and measurable lead generation from AI search channels.