What is AI search optimization? (& why marketers should care)
AI search optimization is the practice of improving brands’ odds of being cited and mentioned by answer engines like ChatGPT, Gemini, and AI Overviews. The traffic it earns is small but high-intent. Across more than 1,200 publisher and news sites, visitors referred by AI tools signed up at roughly 11 times the rate of search visitors, according to a Microsoft Clarity study.
In this article, I’ll walk you through how to define, evaluate, and implement AI search optimization. I’ll even clearly outline how it differs from, but does not replace, SEO.
Table of Contents
- What is AI search optimization? And why does it matter?
- How AI Search Finds and Cites Your Content
- How is AI search optimization different from traditional SEO?
- How to Optimize Content for AI Search Citations
- How to Optimize Technical Structure for AI Search
- How Off-Page Signals Strengthen AI Visibility
- What Not to Do for AI Search Optimization
- How to Measure AI Visibility and Operationalize Your Plan
- Preparing for AI Agents and What Comes Next
- Frequently Asked Questions About AI Search Optimization
What is AI search optimization? And why does it matter?
AI search optimization is the practice of making a brand and its content more likely to be mentioned and cited by answer engines like ChatGPT, Perplexity, AI Overviews, and Gemini. AI search optimization is known by many names, including generative engine optimization (GEO), AI SEO, and LLM optimization (LLMO), but at HubSpot, we call it answer engine optimization (AEO).
AEO builds upon SEO and does not replace it; they remain distinct but complementary practices, which I’ll detail in a section below.
By optimizing for AI search, brands can expect to see:
- Increased brand visibility. AEO can help brands get recommended in answers generated in Google AI Mode, ChatGPT, Claude, Gemini, and more. Even if a user never clicks through to your website, they can find out details about your product that are highly tailored to their specific situation.
- More qualified leads. Traffic that comes from AI search tends to be higher intent than traffic that comes from traditional search. Why? In an attempt to provide a personalized result, answer engines essentially pre-qualify users by asking follow-up questions targeting sub-queries.
To be clear, AI search traffic is still small compared to traditional search. However, it has an outsized impact on conversions. AI traffic grew 66.02% in 2025 (faster than every channel except paid search), while accounting for only 0.14% of visits, according to Semrush. The latest data I could find shows that AI search is still less than 1% of the total share, according to Ahrefs May 2026 data. But again, that doesn’t tell the whole story when AI answers are influencing purchases without buyers clicking links.
People are increasingly using AI answer engines to get recommendations. AI search optimization puts you …read more
Source:: HubSpot Blog
