GEO vs SEO: What Changes When AI Answers the Search (and Where AEO Fits)

What is generative engine optimization?

Generative engine optimization is the practice of shaping your content, data and reputation so that AI engines with web access can find it, understand it and trust it enough to cite it. The term comes from the research paper GEO: Generative Engine Optimization by Aggarwal et al., presented at KDD 2024 by researchers from Princeton University and the Indian Institute of Technology Delhi.

Why GEO matters now

More searches end in an AI-written answer instead of a list of links, and that changes clicks:

• A Pew Research Center study of browsing data from 900 US adults found that 18% of the Google searches in its sample (March 2025) produced an AI summary. When a summary appeared, users clicked a traditional result in 8% of visits, versus 15% when it didn't. They clicked a link inside the summary in just 1% of visits.
• An Ahrefs analysis of 300,000 keywords (April 2025) associated AI Overviews with a 34.5% lower click-through rate for the top-ranking page.

The takeaway: ranking first no longer guarantees the visit. When the answer is written above the results, the brand named and cited inside it wins the attention.

GEO vs SEO vs AEO: side by side

What is answer engine optimization?

AEO aims to make a passage of your page the direct answer to a question: Google's featured snippet, the summary in an AI Overview, or what a voice assistant reads aloud. It relies on short, self-contained answers, headings phrased as real questions, and structured data.

What is GEO vs SEO in practice?

SEO asks: “Can search engines crawl, index and rank this page?” GEO asks: “When someone asks an AI about my category, does it mention us, cite us and describe us correctly?” The work overlaps heavily. Google's documentation on AI features and your website says there are no additional requirements or special optimizations to appear in AI Overviews or AI Mode; to show up as a supporting link, a page must be indexed and eligible to appear in Search with a snippet. In other words: no technical SEO, no GEO on Google. Other engines work in a similar way. OpenAI explains that its OAI-SearchBot crawler surfaces websites in ChatGPT's search features and recommends allowing it in robots.txt.

What the research says

According to the GEO paper on arXiv:

1. GEO methods can boost visibility by up to 40% in generative engine responses.
2. The top-performing methods were citing sources, adding quotations and adding statistics.
3. Keyword stuffing, a legacy SEO tactic, offered little to no improvement.
4. Lower-ranked sites gained the most: citing sources increased visibility by 115.1% for sites ranked fifth in the search results.

It was a controlled experiment, and AI engines change month to month, so treat it as direction rather than formula. The direction is clear, though: AI favors content that is specific, verifiable and well supported.

How AI engines decide what to cite

In simplified terms, an AI engine with web access does four things:

1. Interprets the question and often splits it. Google calls this query fan-out: running several related searches across subtopics to build one response.
2. Retrieves pages from its index or the web, but only pages it can crawl and parse.
3. Selects passages that answer clearly and look trustworthy.
4. Writes the answer and cites some sources.

That gives you three conditions for getting cited. Your content must be retrievable (crawlable and indexed), extractable (clear passages with the answer close to the heading) and credible (backed by data, authorship and third-party mentions).

How to do GEO: 8 practices that hold up

1. Let the right crawlers in. Check robots.txt for Googlebot, Bingbot (Bing powers Copilot's answers) and OAI-SearchBot. Verify your site in Bing Webmaster Tools and enable IndexNow.
2. Answer first, explain second. Open key pages with a 40–60 word direct answer that names its subject explicitly. That is the passage an engine can lift as is.
3. Add facts with sources. Dated figures, expert quotes and links to primary sources: exactly what the GEO study found most effective.
4. Structure for extraction. Question-based headings, numbered steps, comparison tables and FAQs.
5. Keep structured data consistent with the page. Organization, Article, FAQPage, Product or LocalBusiness, validated with Google's Rich Results Test and the Schema.org Validator. Google stresses that markup must match visible content (Search Central, May 2025).
6. Define your entity. Keep your legal name, brand, address, social profiles and description identical across your site, Google Business Profile, directories and Wikidata. When AI gets a company wrong, conflicting sources are often the reason.
7. Earn mentions off your site. Industry media, directories, reviews and communities. Engines weigh what others say about you against what you say about yourself.
8. Publish what only you know. Case studies with numbers, proprietary methods, original comparisons. Google asks for unique, non-commodity content; a page that repeats what already exists gives an engine no reason to cite it.

What about llms.txt? It's a proposed file that gives language models a summary of your site. Google says you don't need new files to appear in its AI features. It's cheap to publish, but don't expect it to move results on its own.

What GEO is not

• Not hidden prompts or keyword stuffing. The research shows stuffing doesn't help, and Google treats hidden text as spam.
• Not a one-time project. Models, sources and answers shift constantly.
• Not measured in rankings. An AI answer has no “position 3”; it has mentions, citations and sentiment.

How to measure GEO

• Share of voice: the percentage of answers that mention your brand versus competitors across a fixed set of buying questions.
• Citation rate: the percentage of answers that link to your site as a source.
• Brand accuracy: what AI says about your services, locations and pricing, and what it gets wrong.
• Sentiment: whether mentions are positive, neutral or negative.
• AI referral traffic: sessions from domains such as chatgpt.com or perplexity.ai, which you can isolate with a custom channel group in Google Analytics 4.

For Google, clicks from AI Overviews and AI Mode are included in the Search Console Performance report under the “Web” search type, blended with the rest of your traffic.

How we approach GEO at DataLab

We sum up the three disciplines this way: SEO gets you found, AEO makes you the answer, GEO gets you recommended. Month one is an on-page SEO audit plus a baseline: real buying questions asked across the major AI engines, which sources they cite and what they say about the brand. Four workstreams build on that baseline. From month one: technical (crawling, speed, validated structured data), content built to be cited, and monitoring across ChatGPT, Gemini, Perplexity and Copilot with Peec AI. From month two, once the technical foundation is in order: off-site mentions. Early GEO signals typically show up between months three and six.

The approach comes from years of building content libraries with topical authority. Mis Finanzas para Invertir, Davivienda's investor-education portal in Colombia, was born at DataLab: since 2017 it has published more than 1,000 pieces and by 2021 it had passed 400,000 organic visits a year. That kind of deep, consistent resource is what AI engines reach for when someone asks. Our team works from Bogotá, in time zones that overlap with US business hours.

If you want to know what AI engines say about your brand today, and how to change it, explore our AI SEO agency services, which cover SEO, GEO and AEO, or browse our case studies.

If you're still deciding where to invest first, read our guide to SEO vs SEM.