AEO vs GEO and Which One Your Startup Actually Needs

AEO and GEO name almost the same work, and arguing about which one you need wastes a quarter. If you run marketing at a seed to Series B AI startup and you've read three pitches using three acronyms, compare them on what they would change instead, which is whether AI engines name you at all and whether they describe you correctly when they do.

Where did the AEO vs GEO labels come from?

AEO grew out of practitioner work and GEO came out of research; both now point at the same AI answers. Its roots are in the answer-box era of featured snippets and voice results, which Google described in a January 2018 reintroduction of featured snippets, including how spoken answers on Google Home cite their source page. We have not found a reliable record of who first used the term. GEO comes from the GEO paper, first posted in November 2023 and published at KDD 2024, which measured how sources gain visibility in AI-written answers.

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Label	Origin	What it emphasises	Who uses it
AEO, answer engine optimization	Practitioner usage, tied to featured snippet and voice work	Being the source of the direct answer	Ahrefs lists AEO as a use case; Profound's glossary is built around it
GEO, generative engine optimization	The GEO paper, November 2023	Visibility inside generated answers	Microsoft and Bing, researchers, and a16z's May 2025 essay
LLMO or LLM SEO	Practitioner usage	The technology, large language models	Profound calls LLMO another synonym for AEO
AI SEO	Practitioner usage	Either optimizing for AI search or using AI tools for SEO	Many agencies and tools, with both meanings
SEO	Search engines	One discipline for all search experiences	Google, which calls generative AI optimization still SEO

Where do AEO and GEO overlap?

Almost everywhere that matters. Both target ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews, Google AI Mode and Copilot, and both depend on the same mechanics: an engine searches an index, picks passages and writes an answer with citations. Profound's AI search glossary, published in August 2026, describes GEO as "the same discipline as AEO under a different name."

The deliverables match too. AEO and GEO proposals both list prompt research, crawler access, answer-first page rewrites, third-party mentions, schema and tracking. When two proposals describe the same tasks under different acronyms, compare them on scope and evidence, not on the name.

How do practitioners actually use the two terms?

The label tells you more about the speaker than about the work. Platforms and researchers lean towards GEO: Microsoft called its February 2026 AI Performance report in Bing Webmaster Tools "an early step toward Generative Engine Optimization (GEO) tooling", and a16z's May 2025 essay framed GEO around "reference rates", how often a brand is cited in model answers. Tool vendors split: Ahrefs lists AEO as a use case on its pricing page, and Profound defines AEO as the core discipline. Google's generative AI guide declines both and calls it SEO.

Where teams do draw a line, it usually runs like this, and it's the split we use when planning. GEO is about whether an engine names you at all, which is won largely off your site through reviews, roundups, community threads and other pages that mention you. AEO is about what the engine says once it reads your page, which is won on the page: the passage it lifts, the facts it repeats, the comparison it quotes. You can be named and described wrong, which is an AEO problem. You can have excellent pages and never be named, which is a GEO problem.

Both halves have data behind them. Off-site, Ahrefs' May 2025 study of 75,000 brands found mentions on other sites tracked Google AI Overviews visibility about three times as closely as backlinks did (0.664 against 0.218). On-page, Pew Research Center found that 60% of Google searches beginning with a question word such as who, what, when or why produced an AI summary in March 2025, with a median length of 67 words and three or more sources cited in 88% of summaries. The answer a buyer reads is often one short paragraph built from a few pages, and AEO is about being one of them.

How do AI SEO and LLM optimization fit in?

They're more labels for the same territory, with one trap. LLMO, LLM SEO and LLM optimization name the technology rather than the interface, and Profound calls LLMO another synonym for AEO. AI SEO is the ambiguous one: it can mean optimizing for AI search or using AI tools to do SEO work, so a provider selling "AI SEO" may be offering AI-written content rather than AI visibility.

The second meaning carries risk. Bing's updated Webmaster Guidelines, as Search Engine Journal reported in February 2026, now target large-scale content generated without oversight, quality control or editorial review, and treat artificially engineered language aimed at AI citations as abuse. Ask which meaning a proposal uses before you sign.

Which one does your startup actually need?

You need whichever work closes your biggest gap, and the gap is easy to find. Run the questions your buyers ask on each engine, note whether you're named, how you're described and which pages are cited, then match what you see to the table.

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What you see	Where the gap is	Work to do first	Label you'll usually hear
You're not named for category or best-tool prompts	Off-site coverage	Earn mentions on the roundups, reviews and threads the answers already cite	GEO
You're named but described wrong, such as pricing, audience or category	Your pages and profiles	Rewrite the passages engines read and make product facts consistent everywhere	AEO
You're named but a competitor's page is cited	Your pages	Build the comparison or use-case page the engine needs, with an answer-first opening	AEO
Competitors are recommended ahead of you	Third-party sources	Find the outside pages that rank them first and earn a place on those pages	GEO
You rank on Google and Bing but never appear in answers	Both	Check crawler access, then passages, then mentions	Both, or AI SEO
You don't rank and aren't named	Foundations	Indexing, core pages and authority before either label	SEO

To run that check yourself, how to check whether ChatGPT and Perplexity recommend your product without paid tools walks through it in an hour. Many startups find both gaps at once, which is why it pays to run the work from one plan. The AEO agency page explains how the on-page half is done.

What should you ask a provider instead of which acronym they use?

Ask about the work and the evidence. A provider who answers these specifically is worth talking to, whatever they call the service.

• The prompts they'll track, on which engines, and how often each one is rerun.
• The pages they'll change first, listed by URL.
• The third-party sites they'll target, and why the engines cite those sites.
• The baseline, set before work starts, that results will be read against.
• Named clients with before and after figures.
• What they won't promise. Bing's guidelines say GEO doesn't guarantee citations, so a guarantee is a warning sign.

The GEO agency comparison applies these questions to named providers. Each label gets a full explainer in what is answer engine optimization and what is generative engine optimization, and the cross-engine mechanics are in how AI search engines decide which sources to cite.