AI search
Generative Engine Optimization Strategies That Work
Generative engine optimization (GEO) means writing content so that AI answer engines like ChatGPT, Perplexity and Google's AI Overviews choose it as a source and quote it. The best evidence on what works comes from one study: the original GEO paper, presented at the KDD 2024 conference. It found three tactics that raised a page's visibility in AI answers by about 30–40%: adding statistics, adding quotations, and citing sources.
There's a lot of GEO advice online, and most of it is vendor opinion. This guide sticks to what the research measured, explains where its limits are, and shows how I apply each finding when I write.
What is generative engine optimization?
Generative engine optimization is the practice of making content more likely to be used and cited in answers written by AI systems. Traditional SEO aims for a high position in a list of links. GEO aims for a place inside the answer itself: your facts, your wording, your link as the source.
The two overlap heavily. AI answer engines retrieve web pages before they write, and pages that rank well in search are the ones most often retrieved. So GEO builds on SEO rather than replacing it.
What did the original GEO study test?
The study, by researchers from Princeton University, IIT Delhi and others (Aggarwal et al., arXiv:2311.09735), built a benchmark of thousands of real search queries across many subject areas, called GEO-bench. For each query, the researchers took the web pages a generative engine would use, rewrote one of them using a single tactic, and measured how much more of the final AI answer drew on that page.
They tested nine tactics:
| Tactic | What changed in the text |
|---|---|
| Statistics addition | Swapped vague claims for numbers |
| Quotation addition | Added quotes from credible sources |
| Cite sources | Added references to reliable sources |
| Fluency optimization | Made the writing smoother |
| Easy-to-understand | Simplified the language |
| Authoritative | Made the tone more confident and persuasive |
| Technical terms | Added more domain vocabulary |
| Unique words | Added less common words |
| Keyword stuffing | Repeated the query's keywords more often |
They also tested the best tactics on Perplexity, a real AI search engine, not only on their own test setup.
Which GEO strategies worked best?
Three tactics clearly outperformed the rest: statistics addition, quotation addition and cite sources, each improving visibility by roughly 30–40% on the study's main measure. Fluency optimization and easy-to-understand language came next, with gains of about 15–30%.
What these winners share is that they give the AI something concrete to reuse. A number, a quote or a named source is easy to lift into an answer and easy to attribute. A confident tone or fancier vocabulary isn't.
Which GEO strategy backfired?
Keyword stuffing. Repeating the target keyword more often did not help and in several tests hurt, including about 10% lower visibility on Perplexity. It's the same lesson classic SEO learned years ago: AI systems, like Google, read for meaning, not keyword counts.
Google's own spam policies still define keyword stuffing as "filling a web page with keywords or numbers in an attempt to manipulate rankings" (Google spam policies). It's a bad idea for both audiences.
Why does GEO help smaller websites most?
The study's most useful finding for small businesses: the tactics helped lower-ranked pages far more than top-ranked ones. For pages ranked fifth in search results, citing sources raised visibility by about 115%, quotation addition by about 100% and statistics addition by about 98%. Pages already ranked first sometimes lost share.
The authors' explanation is that top-ranked sites already benefit from authority signals such as backlinks, which small creators struggle to earn. Well-sourced, specific content is one of the few levers a smaller site can pull on its own. That's why I use these tactics on my own blog, which is new and has almost no backlinks. The same applies to a professional's own site: a personal brand website with clear, sourced answers gives AI assistants something to cite when someone asks for an expert like you.
How to apply each GEO strategy, with examples
Add statistics
Replace every vague claim that could carry a number with a number and its source.
- Before: "AI Overviews have hurt clicks a lot."
- After: "When an AI summary appeared, people clicked a search result on 8% of visits, compared with 15% without one (Pew Research Center, 2025)."
Add quotations
Quote a named person or an official document, especially where your reader would ask "says who?"
- Before: "Google doesn't require special markup for AI features."
- After: "Google's documentation is direct about it: 'There are no additional technical requirements' to appear in AI Overviews (Google Search Central)."
Cite sources
Link to the primary source, not a blog that summarized it. AI systems and readers both trust a claim more when they can trace it.
Write fluently and simply
Short sentences, one idea per paragraph, plain words. Lead each section with a direct answer the AI could quote on its own, then give the detail.
Skip what didn't help
Don't pad pages with jargon, rare words or forced confidence, and never repeat keywords for their own sake.
What are the limits of the GEO research?
The study is a strong starting point, not a guarantee. It was run on 2023-era systems, and AI search engines change their models often. The authors themselves note that results varied by subject area, so what works for science questions may differ from what works for product questions. And the gains are relative: a tactic can raise your share of an answer without guaranteeing you appear at all.
Two things are unlikely to change, though. AI answers are built from web pages that search engines can find, so SEO still decides who's in the running. And concrete, sourced, first-hand information is what any system needs in order to give a trustworthy answer.
How do you measure generative engine visibility?
Start simple. Make a list of 10–20 questions your customers ask, run them in ChatGPT, Perplexity and Google every month, and record which sources get cited. In Google Search Console, track impressions on question-style queries for the pages you've optimized. More impressions with flat clicks often means you're appearing in AI Overviews.
To see how this plays out in Google specifically, read how AI Overviews affect SEO. If you'd like content written this way for your business, get in touch.
FAQ
Is GEO different from SEO?
GEO builds on SEO. SEO gets your page ranked and retrieved; GEO makes the content inside it easy for an AI system to quote and attribute. You need both, because AI answer engines mostly cite pages that already rank.
What is the difference between GEO and AEO?
Answer engine optimization (AEO) usually refers to structuring content as direct answers for featured snippets, voice assistants and AI answers. GEO focuses on generative AI engines specifically. In practice the tactics overlap: direct answers, clear structure and sourced facts.
Does llms.txt help with GEO?
There's no published evidence that it does. Google says you don't need AI text files to appear in its AI features. An llms.txt file is cheap and harmless, so I include one on my own site, but I wouldn't expect it to change your visibility.
How long does GEO take to work?
AI search engines that browse the web live, like Perplexity, can pick up changes as soon as the page is recrawled. Google's AI features follow Google's normal crawling and indexing, which can take days to weeks.