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How to optimize your website for AI search

What happened
Based on HubSpot Marketing · Sep 09, 2026

Marketers are advised to integrate AI search optimization with existing SEO practices to improve visibility in answer engines, as AI search relies on similar ranking fundamentals.

How to optimize your website for AI search
HubSpot Marketing — HubSpot
Key points
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AI search relies on the same crawling and indexing systems as traditional search, linking AEO to SEO fundamentals.
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Pages quoting experts average 4.1 ChatGPT citations versus 2.4 for non-expert content, per SE Ranking analysis.
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YouTube ranks as the second most-cited platform in AI search, with 13.7% of citations pointing to timestamped moments.
Key numbers
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AI search tools are expanding rapidly, with monthly unique visitors to major answer engines rising from 634 million in Q1 2025 to 904 million in Q1 2026, according to Wix Studio.
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4 for content without expert input, while pages with 19 or more data points average 5.
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4 seconds averaged 6.

AI search tools are expanding rapidly, with monthly unique visitors to major answer engines rising from 634 million in Q1 2025 to 904 million in Q1 2026, according to Wix Studio. This growth underscores the need for businesses to adapt their online presence to remain discoverable in both traditional search and AI-driven answer engines. While AI search, or answer engine optimization (AEO), is distinct from SEO, the two are interconnected; foundational SEO practices that improve rankings also enhance the likelihood of AI citations. The shared infrastructure between AI and traditional search means that a page’s crawlability, indexability, and content quality directly influence its visibility in AI responses.

Content quality remains the most critical factor for AI search visibility, with Google emphasizing that unique, compelling, and useful content shapes a site’s presence in generative AI search. The company distinguishes between commodity content, which repackages common knowledge, and non-commodity content built on expertise and firsthand experience. Data from SE Ranking shows that pages quoting experts average 4.1 ChatGPT citations, compared to 2.4 for content without expert input, while pages with 19 or more data points average 5.4 citations. Original insights and structured data improve citation potential by providing what AI models cannot generate independently.

Technical setup is essential for AI search optimization, as answer engines must crawl, index, and evaluate pages before citing them. Google’s AI Overviews operate on a customized version of Gemini integrated with existing Search systems, while ChatGPT search relies on providers like Bing, reinforcing the link between traditional and AI search. Pages must be crawlable and snippet-eligible, with Google explicitly stating that a page must be indexed to appear in AI Overviews or AI Mode. Speed and accessibility also matter: SE Ranking found pages with a First Contentful Paint under 0.4 seconds averaged 6.7 ChatGPT citations, compared to 2.1 for slower pages. Internal linking and server-rendered HTML further enhance discoverability, as many AI crawlers do not execute JavaScript.

Snippet controls and structured data play a pivotal role in determining how much of a page an AI engine may lift for citations. Google requires pages to be indexed and eligible for snippets to appear in AI Overviews or AI Mode, meaning directives like nosnippet or max-snippet:0 can restrict visibility in both traditional and AI search. Structured data should accurately reflect the visible content to avoid cloaking, while descriptive headings and logical sections improve parsing for both users and models. Additionally, pairing written content with relevant images and videos under SEO best practices can increase visibility in AI features, with YouTube cited as the second most-cited platform in Fan Out’s study, including 13.7% of citations pointing to timestamped moments.

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