What is generative engine optimization?
Generative engine optimization (GEO) is the practice of making content more likely to be used and cited in AI-generated answers, such as those from ChatGPT, Perplexity, or Google's AI Overviews.
The term comes from a research paper first published in 2023 by researchers at Princeton University and IIT Delhi and presented at the KDD conference in 2024. It describes AI answer tools as "generative engines," which "satisfy queries by synthesizing information from multiple sources and summarizing them using LLMs."
Where does the term GEO come from?
The paper "GEO: Generative Engine Optimization" introduced the term. Its authors wrote that "content creators have little to no control over when and how their content is displayed" in AI answers, and set out to test which content changes improve a source's visibility.
They built a benchmark of 10,000 queries, called GEO-bench, and measured how much of each AI answer drew on a given source and how prominently it appeared.
What did the GEO research find?
Three content changes worked best. The paper reports that "Cite Sources, Quotation Addition, and Statistics Addition, achieved a relative improvement of 30-40%" on its main visibility measure. In plain terms:
- Cite sources: reference reliable sources in the content.
- Add quotations: include credible quotes from relevant sources.
- Add statistics: use numbers instead of general statements where possible.
Other findings:
- Keyword stuffing didn't help. The authors write that adding more keywords offered "little to no improvement on generative engine's responses."
- Clearer writing helped. Improving fluency and readability also raised visibility.
- Results varied by subject. The paper notes "the efficacy of these strategies varies across domains."
- Lower-ranked sites gained most. The authors found GEO "is especially helpful for lower ranked websites."
The study ran on its own test engine and on Perplexity. It's research on how AI answers pick sources, not a ranking guide published by any search company.
How is GEO different from SEO and AEO?
The goal differs from classic SEO, but most of the work overlaps:
| Term | Aims for | Origin |
|---|---|---|
| SEO | A position in a list of search results | Long-standing industry practice |
| GEO | Use and citation inside an AI-generated answer | 2023 research paper |
| AEO | A citation in an answer engine's response | Industry term |
GEO and answer engine optimization (AEO) describe the same goal. Google's guide to its generative AI features addresses both: "From Google Search's perspective, optimizing for generative AI search is optimizing for the search experience, and thus still SEO."
What does Google say about GEO tactics?
Google's guide lists several "hacks" it says aren't needed for its search features:
- Special files. "You don't need to create new machine readable files, AI text files, markup, or Markdown to appear in Google Search (including its generative AI capabilities)."
- Chunking content. "There's no requirement to break your content into tiny pieces for AI to better understand it."
- Rewriting for AI. "You don't need to write in a specific way just for generative AI search."
- Inauthentic mentions. Google says seeking them "isn't as helpful as it might seem."
Google's main advice is content "that people find unique, compelling, and useful," which it says "will likely influence your website's presence in generative AI search in the long run more than any of the other suggestions in this guide."
What does GEO mean for a moving company?
The research and Google's guidance point the same way: specific, sourced, original information. For a mover, that means stating real numbers where the business has them, explaining how its services and pricing work, and citing regulators such as FMCSA when explaining interstate moving rules.
What GEO can't do is guarantee a citation. Google says "no third-party tool has access to our internal ranking or AI systems." See how AI Overviews and AI Mode choose sources.