How to Do AI-Friendly SEO in 2024 & Beyond

Google AI Overviews now appear in nearly 55% of all searches, and where they show up, they cut click-through to the top-ranking page by as much as 58% — from 7.3% down to 1.6%. Traditional SEO optimized for a click. In 2026, a meaningful share of your visibility comes from being cited inside an AI answer instead, which is a different game with different rules. Here’s how to play both.

AEO Is Not the Same Game as SEO

Answer Engine Optimization (AEO) is the practice of optimizing content to get cited by ChatGPT, Google AI Overviews, Perplexity, and Bing Copilot — it targets the answer-retrieval layer specifically: being the source an AI system pulls from when it needs a fact, definition, or recommendation. The critical distinction: traditional SEO optimizes for a click; AEO optimizes for a citation, which may or may not come with a click at all. A page can rank #1 organically and still never get pulled into an AI answer, and a page can get cited by ChatGPT without ranking anywhere near the Google top 10 for the same query.

Different Engines Pull From Different Signals

• ChatGPT favors authoritative, long-form content, and draws on live web data and licensed content somewhat independently of Google’s index — only about 6.8% of its citations match a given query’s Google top 10 results. This means ranking well on Google is not a reliable proxy for showing up in ChatGPT answers.
• Perplexity favors fresh, well-cited articles — recency and clear sourcing matter more here than raw domain authority.
• Google AI Overviews favor content already ranking in the top 10 organic positions — the one engine where traditional SEO strength still directly predicts AI visibility.

The practical implication: a single SEO strategy no longer covers all your AI-search visibility. Google AI Overviews reward what you’re probably already doing; ChatGPT and Perplexity require treating citation-worthiness as a separate, deliberate goal.

Six Areas That Actually Move AEO Performance

1. Content structure — clear headings that map to specific questions, so an AI system can isolate the exact answer-bearing section rather than needing to parse an entire page.
2. Answer formatting — direct, quotable answers near the top of a section (a clear definition, a specific number, a concrete step) rather than building up to the answer through narrative framing.
3. Citation quality — cite real, checkable sources yourself; AI systems favor content that’s already well-sourced, since it’s a shortcut proxy for reliability.
4. Schema markup — structured data helps AI crawlers parse what a page is actually about and what specific facts it contains, beyond what plain text conveys.
5. Entity recognition — consistent, clear naming of the people, products, and concepts a page covers, so AI systems can confidently associate your content with the entities a query is about.
6. Topical authority — a body of related content on a subject, not just one isolated page, signals depth that both traditional rankings and AI citation systems weight.

The Honest Tradeoff Worth Knowing

AI Overviews reducing top-ranking-page CTR by up to 58% is a real cost, not just a talking point — being cited doesn’t guarantee traffic the way ranking #1 used to. For publishers monetizing through pageviews specifically (ads, affiliate links), this means the calculus has shifted: winning the AI citation for informational queries increasingly matters for brand visibility and authority-building more than for direct traffic, while queries with genuine commercial or how-to intent (where a reader needs to actually visit a page to act) remain more resistant to this click-suppression effect.

Frequently Asked Questions

Should I stop optimizing for traditional Google rankings?
No — Google AI Overviews specifically still favor content already ranking well organically, so traditional SEO remains the foundation for that one engine, even as ChatGPT and Perplexity require additional, separate optimization.

How do I know if my content is getting cited by AI systems?
Search your brand name or specific claims from your content directly in ChatGPT and Perplexity to check for citations, since there’s no unified analytics dashboard yet comparable to Google Search Console for this — manual spot-checking is currently the most reliable method.

Conclusion

AI search has split what used to be one strategy into two related but distinct ones: traditional SEO for Google AI Overviews and organic rankings, and dedicated AEO — structured answers, strong citations, schema markup, clear entities, topical depth — for ChatGPT and Perplexity. Both matter now, but they reward different things, and neither one alone covers the full picture of AI-era search visibility.