AEO fundamentals
What is AEO and GEO, and how is it different from SEO?
By Arnav Mukherjee, founder of TofuBofu · July 4, 2026
The first time I ran our own tool against a company with solid Google traffic and a respectable domain rating, the AI visibility score came back at zero. Not low. Zero. The company ranked on page one for its category, had years of backlinks, and a clean, fast website. And when I asked ChatGPT, Claude, and Perplexity the exact questions its buyers ask, not one of them named it.
That gap, great on Google and invisible in AI, is the whole reason AEO and GEO exist as separate disciplines. Here is what they are, and where they part ways from the SEO you already know.
The definitions, in plain English
AEO (Answer Engine Optimization) is the practice of getting your company named and cited inside the answer an AI engine generates. When a buyer asks ChatGPT "who should I hire for X," AEO is the work that makes your firm one of the names it returns.
GEO (Generative Engine Optimization) is the same goal described from the model's side: optimizing your content so generative AI systems surface it. In day-to-day practice the two overlap almost entirely, and most teams use them interchangeably. If someone insists on a distinction, AEO leans toward "be the answer" and GEO leans toward "be readable by generative systems." The tactics are the same.
SEO (Search Engine Optimization) you know: it gets your page ranked in a list of links, and the user picks one. That distinction, a ranked list versus a named answer, is the fault line everything else runs along.
A ranked list versus a synthesized answer
Same buyer question, two very different surfaces
On the left, being absent from the top spot still leaves you visible on the page. On the right, there is no page. The engine hands the buyer two or three names and a reason for each. If you are not one of them, the buyer often never learns you exist. That is why a zero can happen to a company that "does fine on Google."
Where AEO and SEO actually overlap
Here is the honest part, because you will hear people claim "AEO is just SEO." They are half right. AEO builds on SEO fundamentals. If a page cannot be crawled, has no structure, and reads like filler, it will fail on both. Structured data, clean technical crawlability, and genuinely useful content help you rank on Google and help engines retrieve you for an answer.
But AEO is a distinct layer on top, with signals classic SEO never cared about. Engines weight third-party citations (Clutch, G2, Reddit) heavily. They reward content written to match the long, conversational way people talk to AI rather than the short keywords they type into Google. And they lean on structured data far more than a blue-link result does: SE Ranking found 71% of pages ChatGPT cites carry structured data, and 65% for Google AI Mode. So good SEO is the floor. It is necessary and not sufficient.
Why this matters now, not later
Buyer behavior has already moved. G2's 2026 research found 51% of B2B buyers now start their research on an AI chatbot, up from 29% a year earlier, and 69% chose a different vendor than they had planned based on an AI recommendation. Forrester found 94% of B2B buyers now use AI somewhere in the buying process. The answer layer is where a growing share of shortlists get built.
The company that scored zero was not badly run. It had simply optimized for the old surface and never touched the new one. The good news in that story is that AEO is winnable: because so few firms have done the work, the specific questions your buyers ask are often unclaimed, and the first firm to answer one well tends to hold it.
SEO signals vs AEO signals, side by side
The clearest way to see the difference is to line up what each channel actually weights. The fundamentals overlap, but the emphasis diverges sharply, and that divergence is why a page-one Google result can be invisible in AI answers.
| What it weights | SEO (Google ranking) | AEO (AI answers) |
|---|---|---|
| Backlinks and domain authority | High | Low |
| Exact keyword match | High | Low: conversational match instead |
| Structured data (schema) | Helpful | Critical |
| Third-party citations (Clutch, G2, Reddit) | Indirect | High |
| Content specificity | Moderate | High |
| Server-rendered HTML | Google renders JavaScript | Required: AI crawlers do not |
| Reviews and recency | Moderate | High |
Read the right-hand column and you can see the AEO playbook fall out of it: get your schema and rendering right, earn a few third-party citations, and write specific, conversational content. The practical sequence is to keep your SEO fundamentals healthy first, since they are the shared floor, then layer these AEO-specific signals on top. You are not choosing between the two columns. You are making sure the second one is no longer empty.
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Get your free auditFrequently asked questions
What does AEO stand for?
AEO stands for Answer Engine Optimization. It is the practice of getting your company named and cited inside the answers AI engines like ChatGPT, Claude, Gemini, and Perplexity generate when a buyer asks them a question.
What is the difference between AEO and GEO?
They describe nearly the same goal from two angles. AEO focuses on being the answer an AI engine gives. GEO (Generative Engine Optimization) focuses on optimizing for generative systems specifically. In practice the tactics overlap almost completely, and most teams use the terms interchangeably.
How is AEO different from SEO?
SEO gets your page ranked in a list of links the user then chooses from. AEO gets your company named inside a single synthesized answer, often before the user visits any site. SEO optimizes for a ranked list; AEO optimizes for a citation inside an answer. They share fundamentals like structured data and crawlability, but AEO adds signals SEO ignores.
Does AEO replace SEO?
No. AEO builds on SEO fundamentals rather than replacing them. Structured data, crawlable content, and quality writing help both. But AEO is a distinct layer with its own signals, and a page can rank on Google while being absent from AI answers. You need both, and you can win the AI layer even where your Google rank does not.
Can a company rank on Google but be invisible in ChatGPT?
Yes, and it is common. Google ranking and AI citation use different systems. A company with strong Google rankings can be entirely absent from ChatGPT, Claude, and Perplexity because those engines weight structured data, third-party citations, and specific content differently than Google's link-based ranking.
Which AI engines does AEO target?
Mainly ChatGPT, Claude, Gemini, and Perplexity, plus Google AI Overviews. Each generates answers and names companies. AEO aims to get your firm cited across all of them, since buyers use different engines and appearing on more platforms increases the chance of being recommended.
Sources and further reading
- G2 B2B Buyer Behavior Report (2026): 51% of B2B buyers start on an AI chatbot; 69% switched vendor based on an AI recommendation.
- SE Ranking, via Search Engine Land: 71% of pages ChatGPT cites include structured data; 65% for Google AI Mode.
- Forrester B2B Buying Study (2026): 94% of B2B buyers use AI in the buying process.
- Lewis et al. 2020, Retrieval-Augmented Generation: the mechanism behind how engines retrieve and cite sources when they answer.