I'm Gen Furukawa, founder of SuperMarketers. I build AI visibility systems for B2B SaaS companies and run AI search audits across dozens of clients. The single most common question founders ask me about AI search is some version of "do I need to do AEO or GEO?" The honest answer is that the question has a false premise. They are not two strategies competing for your budget. They are two labels for the same fundamental shift, coined by different communities. This page ends the confusion, then tells you what to actually do.
AEO vs GEO: the difference in one sentence
GEO is the narrower, research-rooted term for optimizing the on-page signals generative engines weight; AEO is the broader practice of building presence in AI answers, which includes those signals plus technical readiness and entity clarity. Same destination, different scope. If you only remember one thing: the difference is breadth, not substance.
What is AEO?
Answer Engine Optimization is the practice of structuring content so AI search engines - ChatGPT, Perplexity, Claude, and Google AI Overviews - cite your company in generated answers. It is the umbrella term. It covers the content work (clear definitions, structured formats, self-contained FAQ answers), the entity work (a consistent, specific description of your company across every surface), the authority work (third-party validation from credible external sources), and the technical work (schema markup, robots.txt configuration, llms.txt).
AEO became the common term among B2B marketers because it names the outcome a founder cares about: getting cited when a buyer asks an AI engine to recommend tools in your category. It is broad on purpose. It is the whole job of becoming the answer.
What is GEO (generative engine optimization)?
Generative Engine Optimization is the term that came out of academic research into how generative AI engines compose their answers. The GEO benchmark study (Aggarwal et al., KDD 2024) tested how on-page content changes affect whether a source gets surfaced in a generated answer. Its headline finding: adding citations and authoritative source references improved visibility scores by up to 40% in the benchmark.
So GEO has a narrower center of gravity than AEO. It focuses on the content signals - structure, citations, authoritative references, semantic relevance - that move whether a generative engine pulls from your page. It tends not to emphasize the technical and entity layers that AEO treats as core. GEO is the research vocabulary; AEO is the practitioner vocabulary. They describe the same shift in buyer behavior.
GEO was coined by researchers studying generative answer composition. AEO spread through marketing teams who needed a word for "show up when the AI recommends vendors." Different rooms, same phenomenon. Neither community is wrong. The confusion comes from treating the two words as two disciplines.
Where they overlap and where they don't
Most of the work is identical. The only real divergence is scope: AEO claims the technical and entity layers that GEO leaves to the side. Here is the honest map.
| Dimension | AEO | GEO |
|---|---|---|
| Origin | B2B marketing practice | Academic research (GEO benchmark, KDD 2024) |
| Core goal | Get cited in AI-generated answers | Get surfaced in generative engine output |
| Scope | Broad: content, entity, authority, technical | Narrower: on-page content signals |
| Content levers | Definitions, steps, FAQs, structure | Definitions, steps, FAQs, structure |
| Authority levers | Third-party validation, consistent entity | Citations, authoritative source references |
| Technical levers | Schema, robots.txt, llms.txt | Usually out of scope |
| Key metric | Citation rate | Visibility score in the answer |
| Who uses the term | Founders, marketers, agencies | Researchers, technical SEOs |
Read down the "content levers" and "authority levers" rows and you will see the overlap is near-total. A page built well for one is built well for the other. The divergence is only at the edges, where AEO also asks you to fix your robots.txt and your entity description. That extra scope is a feature, not a competing strategy.
AEO vs GEO vs SEO: the three-way frame
The cleaner comparison is not AEO against GEO. It is AEO and GEO together, against SEO. That is where a real strategic decision lives.
| Question | SEO | AEO / GEO |
|---|---|---|
| What you win | A ranking and a click to your site | A citation inside the generated answer |
| Where it shows up | Google and Bing results pages | ChatGPT, Perplexity, Claude, AI Overviews |
| The metric | Ranking position | Citation rate |
| The buyer action | Clicks through and evaluates you | Reads the AI's recommendation of you |
| What wins | Backlinks, domain authority, keywords | Structure, entity clarity, validation |
SEO is one layer. AEO and GEO are the new layer on top, and the two terms describe that same new layer. If you are deciding how to split a finite budget, the live question is SEO vs AEO, not AEO vs GEO. The good news is that the work compounds: content built to earn an AI citation - clear, structured, authoritative - tends to perform in traditional search too. You measure the new layer with your citation rate, the percentage of target queries where an AI engine names your company.
Which should a B2B SaaS founder focus on?
Focus on AEO, and stop worrying about the label. Here is the reasoning, grounded in the one resource you cannot get more of: your time.
- 01AEO is the supersetEverything GEO measures lives inside AEO. Pick the broader term and you have not left anything out. Pick GEO and you might skip the schema and entity work that determines whether engines can read and identify you at all.
- 02One system, not twoA separate GEO plan and AEO plan would duplicate the same pages, the same entity description, the same external mentions. You do not have the runway to run two strategies that produce one outcome. One system covers both.
- 03The term you adopt is internalBuyers and AI engines do not care which acronym you use. They care whether your page answers their question clearly. The label is for your team's shared vocabulary; the work is what moves citation rate.
- 04Decisiveness beats taxonomyFounders who spend a week deciding whether they "do GEO or AEO" lose to founders who spent that week rebuilding five pages for extraction. The category is new enough that doing the work is the entire advantage.
So the recommendation is concrete. Call it AEO. Treat GEO's content findings as evidence for what to prioritize inside that practice, not as a second program to staff. The GEO benchmark's "up to 40%" result is a reason to add citations and authoritative sources to your pages - it is not a reason to hire a separate GEO function.
What this is not
- This is not a claim that the terms are meaningless. GEO names a real research finding and AEO names a real practice. The point is that they are not rival disciplines.
- This is not permission to skip the technical layer. If you adopt GEO's narrow content focus and ignore schema, robots.txt, and entity consistency, engines may not be able to identify or read you at all.
- This is not a new term we are coining. SuperMarketers clarifies the category; it does not invent vocabulary. The market rewards clarity, not another acronym to learn.
- This is not a reason to wait. While you debate which word to use, a competitor with a worse product is getting cited in the answer your buyer is reading right now.
How to act on this in 30 minutes
You do not need to resolve the terminology debate to start. Run this instead.
- Pick AEO as your word.Settle the internal vocabulary so your team is not splitting hairs. One term, one system.
- Baseline your citation rate.Open ChatGPT and Perplexity. Run five queries your buyers would run. Note which companies get cited and whether you appear. That is your starting score.
- Add the GEO content signals.On your top three pages, add a direct definition in the first 100 words, structured steps, self-contained FAQ answers, and references to authoritative sources. This is where the benchmark's gains come from.
- Add the AEO technical layer.Fix your entity description so it is identical everywhere, add JSON-LD schema, and confirm AI crawlers are not blocked in robots.txt. This is the scope GEO leaves out.
- Re-score monthly.Re-run your queries once a month and track citation rate. That single metric tells you whether the work is moving, no matter what you call it.
The 9-dimension AI Visibility Score is the rubric we use to baseline this - technical readiness, content architecture, entity clarity, authority signals, and cross-engine citation performance. Whether you call the practice AEO or GEO, the score measures the same thing. In our audits, most companies score 2-3/10 on their first run. The benchmark target is 7+.