AEO and GEO get argued about as if you have to pick one. You don’t. Answer engine optimisation (AEO) is about getting your content lifted out and shown as the direct answer to a question. Generative engine optimisation (GEO) is about being used, cited or recommended when an AI tool writes its own answer. The work overlaps heavily, the tactics differ at the edges, and most brands need both. This post sets out where the line sits, which queries and formats lean which way, and what to actually do on Monday.
What AEO covers
Answer engine optimisation is the practice of structuring content so a search engine can pull it out and show it as a direct answer. The classic example is Google’s featured snippet. Google describes featured snippets as “special boxes where the format of a regular search result is reversed, showing the descriptive snippet first.” You can’t nominate a page for one: Google’s systems decide whether a page would make a good featured snippet for a given search and, if so, show it there.
In practice AEO covers:
- Question-led headings that match how people phrase queries.
- A short, complete answer placed directly under that heading.
- Lists, steps and tables where the question calls for them.
- Clean technical foundations, so the page is indexed and eligible to show a snippet at all.
The unit of AEO is the passage. The aim is a block of text that answers one question well enough to be quoted on its own.
What GEO covers
Generative engine optimisation is the practice of improving how often, and how favourably, your brand and content appear in answers written by generative AI systems such as ChatGPT, Perplexity, Claude and Google’s AI Overviews and AI Mode. The term was formalised in a 2023 research paper, “GEO: Generative Engine Optimization” (Aggarwal et al.), which framed it as a way for content creators to improve their visibility in generative engine responses. In the authors’ tests, GEO methods boosted visibility by up to 40% in generative engine responses.
The unit of GEO is wider than a passage. An AI answer is assembled from many sources, so GEO covers:
- Your own pages being crawlable and quotable by the relevant AI crawlers.
- What third parties say about you: reviews, forums, press, comparison and “best of” lists.
- Consistent facts about your brand across the web, so a model describes you accurately.
- Content with specific, checkable detail a model can cite rather than generic copy it can paraphrase from anyone.
We cover how this sits next to traditional search in more depth in GEO vs SEO.
Where AEO and GEO overlap
Most of the work is shared. A well-structured page with a clear answer near the top helps you win a featured snippet, and it also gives an AI system a clean passage to draw on. Some people argue the two are simply the same discipline under different names. Profound, an AI visibility platform, puts it this way: “the fundamental goal hasn’t changed: getting your content in front of users as a trusted answer when they ask a question.” Wikipedia’s GEO entry also lists answer engine optimisation as a related term rather than a separate field.
The biggest overlap is Google itself. Google states that “there are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary.” To be eligible, a page must be indexed and eligible to be shown in Google Search with a snippet. So on Google, the snippet-ready page you built for AEO is also the entry ticket for its AI features.
Practical tactic differences
The differences show up in where the effort goes, not in the fundamentals.
| AEO | GEO | |
|---|---|---|
| Main goal | Be shown as the direct answer | Be cited or recommended inside an AI-written answer |
| Unit of work | A single passage on your page | Your page plus what the wider web says about you |
| Typical surfaces | Featured snippets, answer boxes | ChatGPT, Perplexity, Claude, AI Overviews, AI Mode |
| Key on-page work | Question headings, concise answers, lists and tables | Specific facts, original detail, clear brand and product information |
| Key off-page work | Mostly standard SEO authority | Mentions, reviews, comparisons and forum presence |
| Technical access | Indexed and snippet-eligible in Google | Also allowing AI search crawlers such as OAI-SearchBot |
Crawler access is a real GEO-only task
This one catches people out. OpenAI runs separate crawlers. OAI-SearchBot “is used to surface websites in search results in ChatGPT’s search features”, while GPTBot crawls content that may be used to train its models. OpenAI’s documentation states that “sites that are opted out of OAI-SearchBot will not be shown in ChatGPT search answers.” If a blanket robots.txt block was added to stop AI training, check it hasn’t also removed you from ChatGPT search.
Snippet controls cut both ways
The nosnippet rule stops Google showing snippets for a page, featured snippets included. Because Google’s AI features require a page to be snippet-eligible, restricting snippets to protect content also limits your AEO and your Google GEO visibility at the same time. Decide deliberately, page by page.
Schema is not a shortcut
Structured data is still worth having for rich results and clarity. But Google is explicit that for its AI features “there’s also no special schema.org structured data that you need to add”, and that you don’t need to create new machine-readable files or AI text files to appear. Treat anyone selling a special “AI schema” fix with caution.
Which queries and formats trigger which
A rough rule: the more a query has one correct, short answer, the more it behaves like AEO. The more it asks for judgement, comparison or a recommendation, the more it behaves like GEO.
- Definitions and facts (“what is a disavow file”, “how long is a UK returns window”): short, extractable answers. AEO territory, and AI tools draw on the same kind of passage.
- How-to and process queries (“how to set up Shopify redirects”): steps and lists. Strong for both.
- Comparison and “best” queries (“best project management tool for agencies”, “Brand A vs Brand B”): the answer is a synthesis of many sources. This is GEO territory, where third-party reviews and lists carry weight.
- Complex, multi-part questions: Google says its AI features may “issue multiple related searches across subtopics and data sources” to build a response. Covering the related subtopics well gives you more chances to be one of those sources.
For eCommerce and SaaS brands, the money is usually in the comparison and recommendation queries. That is why the GEO side, the reputation you have across the web, tends to matter more commercially than winning a definition snippet.
Why the distinction mostly doesn’t matter for buyers
If you are hiring help, the AEO vs GEO label is the least useful thing to argue about. The same person is asking the same question, sometimes in Google, sometimes in ChatGPT. You want to be the answer in both places, and most of the work that gets you there is shared: clear pages, specific facts, sound technical SEO and a reputation other sites back up.
What to look for instead:
- Do they fix technical access first, including AI crawler rules and snippet eligibility?
- Do they write content with real, checkable detail rather than generic copy?
- Do they work on off-site mentions and reviews, not just your own pages?
- Do they measure presence in AI answers directly, rather than guessing from rankings?
An agency that only talks about one acronym is probably only doing half the job. If you are comparing providers, our roundup of the best GEO agencies in the UK sets out what to check. You can also see how we approach it on our generative engine optimisation service page.
AEO vs GEO: which should you prioritise?
Start with the shared foundation, because it pays off twice: make pages indexable and snippet-eligible, answer questions clearly near the top, and check your robots.txt isn’t blocking AI search crawlers. Then put extra weight on GEO if your revenue comes from comparison and “best” queries, which is true for most eCommerce and SaaS brands. Put extra weight on AEO if your audience mostly asks factual, single-answer questions.
FAQ
Is AEO the same as GEO?
Not quite, though they overlap heavily. AEO focuses on being shown as the direct answer to a question. GEO focuses on being cited or recommended inside answers written by AI tools. Some platforms argue they are the same discipline with different names.
Do I need special schema or an AI text file to appear in AI Overviews?
No. Google says there is no special schema.org structured data you need to add, and no need to create new machine-readable files or AI text files, to appear in AI Overviews or AI Mode.
Does blocking GPTBot remove me from ChatGPT search?
Not by itself. OpenAI uses GPTBot for model training and OAI-SearchBot for ChatGPT search. Sites opted out of OAI-SearchBot will not be shown in ChatGPT search answers, so check which one your robots.txt blocks.
Is GEO an established term?
It was formalised in a 2023 research paper, “GEO: Generative Engine Optimization”, and is now widely used alongside related terms such as answer engine optimisation and AI optimisation.
Should SEO, AEO and GEO be handled by different people?
Usually not. The foundations are shared, so splitting them tends to create gaps. One joined-up plan covering technical access, content and off-site reputation works better.
Get both covered
You don’t need to choose between AEO and GEO. You need a plan that covers the shared foundations and then leans towards the queries that make you money. If you want help working out where you stand in AI answers today, talk to us about generative engine optimisation.
