Where the terms came from
AEO (Answer Engine Optimization) came first, in the late 2010s. Voice assistants like Alexa, Siri and Google Assistant, along with Google's featured snippets and "People also ask" boxes, gave users one answer instead of ten links. AEO meant structuring content so it became that answer.
GEO (Generative Engine Optimization) is newer, and it began in academia. The term was introduced in a November 2023 paper by researchers from Princeton, the Allen Institute for AI, Georgia Tech and IIT Delhi [1]. It was a response to ChatGPT, Perplexity, Gemini and Google's AI Overviews. These tools don't pull out a single answer. They write a new answer from several sources and cite some of them.
How optimizing for them differs from SEO
- SEO aims to rank in a list of links. AEO aims to be the single extracted answer. GEO aims to be cited or recommended inside a synthesized answer.
- The unit changes. SEO works at the page level. AEO and GEO work at the passage level: clear, self-contained statements a model can lift and attribute.
- Evidence beats keywords. The original GEO research found that adding citations, statistics and source attributions can lift a page's visibility in AI-generated answers by up to 40% [2].
- Your site matters less on its own. Models lean heavily on third-party mentions such as reviews, forums, Wikipedia and directories, so brand presence across the web becomes part of the strategy.
- One engine is no longer enough. Most top-cited sources are unique to a single platform, with little overlap between ChatGPT, Perplexity and AI Overviews [3].
How performance diverges from SEO
- Share of voice: Ranking well doesn't mean you get cited. ChatGPT's cited URLs overlap with Google's top 10 only about 6.5% of the time, compared with about 43.5% for Perplexity [4]. A brand's SEO share of voice can look strong while its AI share of voice is close to zero.
- Traffic: AI is still an emerging channel. AI-referred sessions to Shopify merchant storefronts grew 197% year over year in Q2 2026, while organic-search sessions grew 12% and still delivered more total referral volume [5]. That gap is the opportunity. Brands that build visibility now can secure a foothold before the channel gets crowded, and that early presence can compound. Brands that are widely cited and discussed today are more likely to show up in the data newer models learn from, which helps them become a familiar, trusted answer in future generations of these tools.
- Clicks: Visibility no longer guarantees a visit. In the first four months of 2026, 68% of U.S. Google searches ended without a click, and AI answers are a likely contributor [6].
- Conversion: Fewer visitors, but warmer ones, because the AI has already done the comparison for them. In March 2026, AI-referred visitors to U.S. retail sites converted 42% better than non-AI traffic, a full reversal from a year earlier [7]. The size of that lift varies by industry. In research-heavy categories where shoppers compare specs, compatibility or tradeoffs, AI visitors converted at up to twice the rate of organic visitors [5]. Each brand will see its own conversion rate from AI, depending on its category and how its products appear in AI answers.
- Attribution: Much of the impact is invisible by default. Google Analytics doesn't group ChatGPT, Perplexity or Gemini visits into their own channel, so they are often counted as "Direct" or generic "Referral" traffic [8]. This is fixable. A custom channel grouping for AI referrers, UTM-tagged links where possible, and a simple "How did you hear about us?" field at conversion give brands a clear view of what AI is actually driving.
The bottom line
How people find brands is changing. More and more of them are asking an AI and acting on its answer, often without ever seeing a list of links. SEO still matters, but it no longer guarantees you are part of that answer.
That's why AEO and GEO deserve attention now, not later. The channel is still young, the competition is still thin, and the visibility brands build today can carry into the next generation of models. The brands that start now will be the ones AI recommends tomorrow.
Read next
For how buyers now research, shortlist and choose inside an AI conversation, and the three gates where a brand drops out, read the pillar post: Buyers don't search anymore, they ask. For what happens inside the engines, see how AI engines decide which companies to name, and for what they say about you, the version of your company AI tells.
Frequently asked questions
What is AEO? Answer Engine Optimization. It came first, in the late 2010s, when voice assistants and Google's featured snippets gave users one answer instead of ten links. AEO means structuring content so it becomes that answer.
What is GEO? Generative Engine Optimization. The term was introduced in a November 2023 paper by researchers from Princeton, the Allen Institute for AI, Georgia Tech and IIT Delhi, as a response to tools like ChatGPT, Perplexity, Gemini and Google's AI Overviews, which write a new answer from several sources and cite some of them. GEO aims to be cited or recommended inside that answer.
How is GEO different from SEO? SEO aims to rank in a list of links and works at the page level. GEO aims to be cited inside a synthesized answer and works at the passage level: clear, self-contained statements a model can lift and attribute. Evidence beats keywords, third-party mentions matter, and one engine is no longer enough.
Why can't I see AI traffic in Google Analytics? Google Analytics doesn't group ChatGPT, Perplexity or Gemini visits into their own channel, so they are often counted as "Direct" or generic "Referral" traffic. A custom channel grouping for AI referrers, UTM-tagged links where possible, and a "How did you hear about us?" field at conversion give a clear view of what AI is actually driving.
Is your brand part of the answer?
If you would like to know where your brand stands, we are happy to talk it through. In a 20-minute call we look at how a potential customer would describe the problem you solve, what the assistants say when they do, and whether optimising for the AI buyer journey is worth your attention right now. Sometimes the answer is that it can wait, and we will say so.
Sources
- Generative Engine Optimization: The 2026 Playbook (Flywheel)
- GEO: The Complete Guide for AI Search Visibility (Growth Marketing)
- AI SEO Statistics (Omniscient)
- LLM Citation Share (upGrowth)
- Does AI Search Really Beat Organic? (CMSWire)
- Google zero-click searches hit 68% in early 2026 (Search Engine Land)
- Ecommerce SEO Statistics 2026 (Scube Marketing)
- AI Overviews and Organic Traffic Decline
Buyers don't search anymore, they ask
Research, deliberation and selection now happen inside an AI conversation. The three gates where a brand drops out, what GEO and AEO actually involve, and how to build it into a marketing strategy.
Read →Analysis · · 7 minHow AI engines decide which companies to name
ChatGPT, Gemini and Claude name companies from memory and from search, and each mixes the two differently. What our study of 240 AI conversations shows about how the engines behave, and the technical checks you can make yourself.
Read →