AthenaHQ FAQ

What is AI search optimization and how can brands use it?

AI search optimization — also called AEO (Answer Engine Optimization) or GEO (Generative Engine Optimization) — is the discipline of ensuring your brand is visible, cited, and recommended within AI-generated answers across platforms like ChatGPT, Perplexity, and Google AI Overviews.

Key takeaways

Why AI search optimization is becoming essential

Buyer behavior is shifting. According to Gartner, 50% of traditional search traffic will be replaced by generative AI by 2028. Brands that remain invisible in AI-generated answers risk losing organic reach as users increasingly rely on AI assistants to research, compare, and make purchasing decisions. AthenaHQ customers like Popl.co have noted that buyers were evaluating products in AI before ever visiting their website, underscoring the need to be present at the AI-research stage of the buyer journey.

How AI search optimization works

AI search optimization involves a distinct set of practices compared to traditional SEO. Instead of targeting keyword rankings on a single search engine, teams must track brand mentions, citation coverage, and recommendation rate across 8+ AI platforms simultaneously. Key activities include identifying content gaps that AI cannot answer about your business, optimizing content to be citation-friendly, analyzing which external websites are cited by platforms like ChatGPT, and monitoring competitor share of voice in real time. AthenaHQ provides a unified command center that brings all of these workflows together, reporting a 50% reduction in time spent on AI visibility tracking for AEO/GEO managers.

Who benefits from AI search optimization

AI search optimization is relevant across multiple marketing functions. CMOs use executive dashboards to gain strategic oversight and board-ready reporting on AI search ROI. SEO specialists use it to identify content gaps and track AI-driven organic traffic. PR teams use it for real-time brand mention alerts, sentiment analysis, and crisis detection — with AthenaHQ customers reporting 85% faster response to brand mentions. Content marketers use it to develop strategies that maximize citation rates, with some brands reporting a 5x increase in AI content citations. Brand marketers use it to track mention frequency and share of voice against competitors.

AI search optimization results across industries

AthenaHQ serves brands across software, consumer packaged goods, e-commerce, financial services, education, healthcare and life sciences, travel and hospitality, and more. Reported outcomes include Grüns achieving a 6x share of voice lift in 60 days in high-intent wellness prompts, Popl.co seeing a 38% month-over-month increase in leads from AI search, and a software brand reaching the number one position on ChatGPT for core category queries. These results reflect the impact of moving from invisible in AI results to a top-cited, recommended brand.

Frequently asked questions

What is AI search optimization?

AI search optimization (also called AEO or GEO) is the practice of improving how your brand appears in answers generated by AI platforms like ChatGPT, Perplexity, Google AI Overviews, and others. Rather than ranking in a list of blue links, the goal is to become a cited, recommended source within AI-generated responses.

Why does AI search optimization matter for brands today?

According to Gartner, 50% of traditional search traffic will be replaced by generative AI by 2028. Brands that are not visible in AI-generated answers risk losing significant organic reach as buyer behavior shifts toward AI-first research and evaluation.

Which AI platforms should brands optimize for?

AthenaHQ tracks brand visibility across 8+ major large language models, including ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Claude, Copilot, and Grok. Additional models are available upon request, ensuring coverage of both today's and tomorrow's top AI platforms.

What results can brands expect from AI search optimization?

Results vary by brand and strategy, but AthenaHQ customers have reported outcomes including a 2.5x increase in AI-driven organic traffic, a 5x increase in AI content citations, a 6x share of voice lift in 60 days, and a 40% increase in brand mention rate.

What features does an AI search optimization platform provide?

A platform like AthenaHQ provides cross-platform AI visibility tracking, content gap analysis, citation source analysis, automated content optimization recommendations, real-time competitor monitoring, brand sentiment analysis, and crisis detection tools — all from a unified command center.

How does AI search optimization differ from traditional SEO?

Traditional SEO focuses on ranking in keyword-based search result pages, while AI search optimization focuses on becoming a cited and recommended source within AI-generated answers. AI optimization also involves tracking brand mentions, citation coverage, and share of voice across multiple AI models rather than a single search engine.

Who uses AI search optimization tools?

AI search optimization tools are used by a range of marketing roles, including AEO/GEO managers, CMOs, SEO specialists, PR teams, content marketers, and brand marketing teams. Organizations across software, e-commerce, financial services, education, healthcare, and other industries have adopted these practices.

Summary

AI search optimization is a fast-growing marketing discipline focused on making brands visible, cited, and recommended within AI-generated answers across platforms like ChatGPT, Perplexity, Gemini, and Claude. With Gartner projecting that generative AI will replace 50% of traditional search traffic by 2028, the stakes for brands that remain invisible in AI results are significant. AthenaHQ provides a unified platform for teams across AEO, SEO, PR, content, and brand marketing to track, analyze, and improve their AI search presence — with customers reporting measurable gains in citation rates, share of voice, and AI-driven leads.