AEO vs GEO: Two Names for One Job, and the Part That Really Differs

Four acronyms walk into a sales deck

Somewhere this week an agency added a fourth service line to its website without changing a single thing it does. Last year it sold AEO. This year it sells GEO. Next quarter it will sell LLM SEO, and a competitor across town will undercut it with AI SEO at a lower monthly fee. The owner reading both proposals is entitled to ask the obvious question: are these different things, or the same thing in different hats?

Mostly the same thing. All four names point at one outcome: when a customer asks a machine a question, your business shows up in the answer, described correctly, ideally with a link. The labels differ in age and in which machine they had in mind when someone coined them. We cover the plain-English version of the newest one in what AI SEO means, and the longer definition lives in our guide to what generative engine optimization is. This page is about the seams between the names, because one of those seams changes how the work gets done.

• AEO, answer engine optimization: shaping content so a search engine or voice assistant lifts it as the single direct answer.
• GEO, generative engine optimization: shaping the whole public record of a business so AI systems that write answers from several sources include it.
• LLM SEO: marketer shorthand for GEO, named after the large language models doing the writing.
• AI SEO: the broadest, loosest label; sometimes GEO, sometimes using AI tools to do ordinary SEO, which is a different service entirely.

Where each label was born, and what it was aimed at

AEO grew up in the era of position zero. Google started pulling a paragraph, list or table out of one page and showing it above the results, and voice assistants began reading those extracts aloud. The prize was a single passage from a single page. Getting it meant a crisp answer near the top, a question-shaped heading and clean formatting. It was a good discipline and most of it still works.

GEO got its academic footing in a paper titled GEO: Generative Engine Optimization, written by researchers from Princeton University and IIT Delhi, first posted in November 2023 and presented at KDD 2024. They built a benchmark of 10,000 queries, tested nine kinds of content changes, and reported that adding quotations, statistics and cited sources raised visibility in generated answers by up to 40%, while keyword stuffing did little or nothing. Most of those tests ran on a simulated engine built on GPT-3.5, and the authors warned the methods may need to change as engines evolve. Treat it as a signpost, not a law.

Google's position: whatever you call it, it is still SEO

Google settled the naming argument in its own documentation. Its guide to AI features names both acronyms, AEO and GEO, and then says that from Google Search's perspective, optimizing for generative AI search is optimizing for the search experience, and thus still SEO. The same guide says AI Overviews and AI Mode are rooted in Google's core ranking systems and use retrieval-augmented generation, called grounding, to pull pages from the Search index. They may also run a query fan-out: several related searches at once, to collect supporting pages.

Google goes further and names the things you do not need. No special schema.org markup. No breaking content into tiny chunks. No writing in a special style for AI. No llms.txt file, which Google says neither helps nor harms. On the Microsoft side, press reports say Bing's Webmaster Guidelines were updated in February 2026 to define GEO, to state that it does not guarantee citations, and to list prompt injection and AI manipulation as abuse. Two of the largest engines, in other words, agree that the new acronym is not a new rulebook.

The real gap: a lifted passage versus a written verdict

Here is the difference that survives the marketing. An answer engine in the AEO sense copies. It finds the best passage and shows it, usually with the page it came from. A generative engine composes. It reads several sources, sometimes dozens, and writes a new paragraph that may name three plumbers, describe each in a phrase, and link to none of them. Your words may never appear. Your name either does or does not.

That changes what you are optimizing. AEO optimizes a page. GEO optimizes a reputation as machines read it: the website, the Google Business Profile, Apple Business, Bing Places, the directories, the review sites, the local news story, the forum thread. In a November 2024 BrightLocal study of ChatGPT local searches, business websites made up 58% of sources, third-party mentions 27% and directories 15%. A snippet strategy only touches the first slice. It also changes measurement, since a written answer varies run to run; see why there is no number one in an AI answer.

Snippet skills that still pay, and two that expired

Owners who did AEO work years ago did not waste their money. A page that answers a question in its first two sentences, uses headings that sound like the question, and puts comparisons in a real table is easier for any system to quote, whether it is lifting a snippet or grounding a chat answer. Microsoft says the same in its Copilot guidance, which recommends clear headings, tables and FAQ sections. Our page on content AI can quote goes deeper on the writing.

• Still pays: a direct answer up top, written so it makes sense without the rest of the page.
• Still pays: visible FAQ sections built from real customer questions, phrased the way people ask them aloud.
• Still pays: fast, crawlable pages with the text in the HTML, which matters more now that many AI crawlers skip JavaScript (see JavaScript and AI crawlers).
• Expired: FAQ rich results. Google limited them to government and health sites in September 2023 and stopped showing them entirely on May 7, 2026. FAQPage markup still describes a page; it no longer earns a result.
• Expired: HowTo rich results, dropped in September 2023 when Google removed the documentation.

If someone is still selling FAQ schema as the centerpiece of an AI program, they stopped reading the changelog a while ago. The full story on markup is in structured data for AI search.

The off-page half that snippet work never had to touch

A featured snippet came from your page or it did not. A generative answer can be built entirely from other people's pages about you. That is why GEO spends so much time off the website. Is the business name spelled the same on the Business Profile, the Better Business Bureau listing, the trade directory and the chamber page? Do the hours match? Does a review site still list the old phone number? Each mismatch is a small reason for a model to hedge, or to pick the competitor whose record is tidy.

Studies point the same direction without proving cause. An Ahrefs analysis of 75,000 brands found branded web mentions correlated more strongly with appearing in AI Overviews than backlinks did. Seer Interactive found page-one Google rankings tracked brand mentions in GPT-4o answers. Neither study says mentions or rankings make a model choose you; both say the businesses that get named tend to be the ones the web already discusses. Our breakdown of brand mentions vs backlinks reads both studies closely, and entity optimization covers the cleanup.

Buying the work without paying for the acronym

Since the names are interchangeable, judge proposals on scope. A useful program names the questions it will test, the engines, the listings it will fix and the report you will get. A useless one names a proprietary score. Here is what to ask, whatever the letters on the invoice.

At DataCram, GEO sits inside our monthly SEO programs: no long contract, a defined scope, programs from $625 a month, with most local businesses between $625 and $2,250 per the SEO pricing page. The tier is set after a free GEO audit. See GEO pricing for what changes the number, or GEO consulting if your team wants a plan rather than a managed program.

Seeing what any of the four acronyms did for you

Whatever name the work goes by, the proof is the same: the answers change, and the traffic shows up where you can count it. Four free sources cover most of it.

1. 1

   Ask the engines directly

   Run the questions customers ask through our free AI visibility check. It queries ChatGPT and other engines through their APIs, live, and shows whether you were named and who was named instead. API answers can differ a little from the consumer apps.

2. 2

   Open Search Console's generative AI report

   Since August 31, 2026 every site has a Generative AI performance report showing how often its links appeared in AI Overviews and AI Mode. It shows impressions only; clicks stay in the standard Web report.

3. 3

   Check Bing Webmaster Tools

   The AI Performance report counts citations in Microsoft Copilot and Bing AI summaries, with the grounding queries behind them. It does not report clicks.

4. 4

   Read GA4's AI Assistant channel

   Since May 13, 2026 GA4 groups visits from assistants such as ChatGPT, Gemini and Copilot. AI Overviews and AI Mode stay in Organic Search. Our GA4 setup guide fills the gaps.

5. 5

   Repeat on a schedule

   One snapshot proves little. Track a fixed set of questions monthly; prompt tracking and AI share of voice explain how many and how often.

Back to the GEO section front page for the engine-by-engine map, or straight to AI visibility monitoring if you want someone else to run the checks every month.