How to Get Cited in AI Overviews
Ranking well and getting cited in an AI Overview aren't the same thing anymore. Here's what AEO and GEO actually mean, and what genuinely improves citation odds.
Traditional SEO optimizes for a blue link in a list of ten results. AEO and GEO optimize for something different: getting your brand or content actually cited inside an AI-generated answer, whether that’s Google’s AI Overview, a ChatGPT response, or Perplexity’s summary. It’s a genuinely new surface, and the fundamentals for winning it overlap with, but aren’t identical to, traditional SEO.
What AEO and GEO actually stand for
AEO (Answer Engine Optimization) refers to optimizing for AI Overviews and other answer-style features that live directly inside a traditional search engine’s results page. GEO (Generative Engine Optimization) refers to optimizing for citation inside standalone AI chat tools like ChatGPT, Perplexity, Gemini, and Copilot, where there’s no traditional results page at all, just a generated answer with, ideally, your brand named as a source.
Why ranking well doesn’t guarantee getting cited
This is the part that surprises people most. The overlap between traditional top-10 rankings and which sources actually get cited in AI Overviews has narrowed significantly. A page can rank well in classic search and still get passed over entirely by an AI summary that pulls from a different, more directly citable source instead. Ranking and citation are correlated but distinct goals now, and treating them as identical is a mistake that costs visibility on the surface that’s growing fastest.
What actually improves citation odds
- Answer-first formatting: state the direct answer to a likely question clearly and early in the content, rather than building up to it. AI systems favor content that’s easy to extract a clean answer from.
- Clear entity signals: make it unambiguous who you are, what you do, and what claims you’re making. Structured data and a clear About page help here, tying directly back into E-E-A-T.
- Concise, direct-answer sections: a short, clear paragraph answering a specific question, even embedded within a longer article, gives an AI system exactly the extractable chunk it’s looking for.
- Original data and information gain: content built on data, research, or insight that genuinely isn’t available elsewhere consistently outperforms content that closely paraphrases what’s already out there. Sites publishing original data have shown measurably stronger visibility gains, while content that’s clearly paraphrased from existing sources has lost significant traffic in recent core updates.
- Schema and structured data: explicit markup helps AI systems parse exactly what your content is and means, the same signal that helps traditional search engines.
Why this doesn’t replace the fundamentals, it sits on top of them
Every genuine AEO and GEO tactic traces back to a fundamental already covered in this series: crawlability and indexation so your content can be found at all, E-E-A-T so it’s trusted enough to cite, technical structure so it’s easy to parse, and content that actually answers intent rather than padding around a keyword. There’s no separate, disconnected playbook for “AI search” that skips the basics. It’s the same foundation, applied with a new goal in mind: not just ranking, but being the source worth quoting.
A simple way to check where you stand
Search a handful of questions genuinely relevant to your business directly in ChatGPT or Google’s AI Overview and see whether your brand shows up as a cited source. If it doesn’t, and a competitor’s does, that’s a concrete, checkable gap, not an abstract trend. Closing it starts with the fundamentals, not a shortcut around them.
