AI visibility

GEO vs SEO: what changes and what stays the same

Content Autopilot team · Updated 14 November 2026 · Sources checked 14 November 2026 · 3 min read

SEO is getting a page to rank in search results. GEO, short for generative engine optimization, is getting a business named or cited in answers written by AI assistants. They share most of the work, because assistants find pages through search indexes. Three things differ: the assistant picks a passage and not a page, mentions on other sites carry more weight, and there is no ranking to look up, so you measure by asking.

The names

GEO, AEO (answer engine optimization), LLMO, AI SEO and AI search optimization are the same thing with different labels. "Generative engine optimization" comes from a research paper first posted in 2023 and presented at the KDD conference in 2024. The others were coined by people selling it. We use "AI visibility" on this site because it describes the result and not the technique.

Side by side

SEO GEO
What you want A page ranking for a search Your business named in an answer
What gets picked A page A passage from a page, or a mention of you on someone else's
How you are found Googlebot and Bingbot The same, plus each assistant's own search crawler
What moves it Relevance, links, a page that satisfies the search A direct answer, evidence in the text, being mentioned where the assistant already looks
How you measure Rankings and clicks, reported by the search engine Asking the assistant the same questions repeatedly and counting
How stable it is A ranking holds for days or weeks The same question can get a different answer an hour later

What stays the same

Most of it. Google's guidance on AI features says there are "no additional requirements" to appear in AI Overviews or AI Mode beyond being indexed and eligible for a snippet. Gemini and AI Overviews draw on Google's index, and Copilot on Bing's. A page that cannot rank cannot be cited there either.

So the foundation is unchanged: pages that crawlers can read, that load their text without JavaScript, that answer a real question better than the alternatives, on a site other people refer to.

What changes

The unit is a passage. A search engine sends the visitor to your page and lets them find the answer. An assistant lifts the two sentences that answer the question and may never send anyone. So the answer has to be near the top, complete without the rest of the page, and specific. The paper that named GEO found that adding citations, quotations and statistics to a page raised how often it was used, by "up to 40%" on the authors' benchmark. Their main test ran on a simulated engine, so treat the figure as a direction.

Mentions matter more than they did. When an assistant answers "what is the best X for Y", it often builds the answer from comparison articles, review sites and forum threads, not from the sites of the products themselves. Being listed in those is part of the work in a way that it was not for classic SEO, where a link was the prize and an unlinked mention was worth little.

You cannot look up a ranking. There is no position 3. The same question gets a different answer depending on the wording, the day, and for a signed-in person, their history. Measurement becomes sampling: a fixed list of questions, asked on a schedule, counted. How to track AI visibility covers it.

There are more crawlers to let in. ChatGPT, Claude and Perplexity each build their own search index with their own crawler. A robots.txt written five years ago may block them without anyone having decided to. The crawler guide lists them.

What is hype

Special "AI schema" markup. Google says there is none to add.

Llms.txt as a way to get cited. The evidence is one experiment, and it found crawlers barely read the file.

The idea that SEO is dead. The assistants with the most users answer from search indexes. If anything, the cost of not ranking has gone up, because the assistant reads the top few results on your behalf and the rest are never seen.

A caution about the evidence

This field is about three years old. Most of what is published about it comes from companies that sell GEO tools, and we are one. The studies are often real and useful, and they are also marketing. When you read a statistic about AI search, look for how many answers it is based on, which assistants, and when. If those are missing, the number is decoration.

Questions

Should I stop doing SEO and do GEO instead?
No. For Google's AI Overviews, Gemini and Copilot, ranking in search is how you get considered at all. GEO is extra work on top: sharper answers, more evidence, and being listed where assistants look.
Is AEO different from GEO?
In practice, no. AEO is the older term, from the days of featured snippets and voice assistants. People now use both for the same work.
Do I need a separate tool for GEO?
Not to start. You can ask the assistants your buyers' questions by hand and keep a spreadsheet. A tracker saves time once you are checking more than about ten questions across several assistants.

Sources

Each one was opened and read on 14 November 2026. Figures in the text say what was counted, how many and when.

  1. 1.research paper (/abs/2311.09735) · arxiv.org
  2. 2.Guidance on AI features · developers.google.com

Content Autopilot team

We make Content Autopilot, an SEO and AI visibility product

Our guides are drafted with AI from the sources listed above, and every figure is checked against its source before it is published. Where we sell something a guide discusses, the guide says so.