AEO vs GEO: What Each One Does and Which a Tech Company Needs First

AEO vs GEO isn’t a fight to referee. AEO gets a page of yours quoted in a search result’s direct answer. GEO gets your name into an answer an assistant writes. A tech company funds AEO first.

I’ll skip the glossary, since the pitch deck in your inbox already has one. Page one says AEO, page nine says GEO and carries its own price, and what the deck leaves out is why a 40-person MSP would buy line two before line one has paid for itself. Same pages. Same crawlers. Same patience, honestly, aimed at a different screen.

My answer is an order of operations. The rest of this post defends it with documentation from Google, OpenAI and Perplexity, plus one look at a text file many owners have never opened.

AEO vs GEO in Plain Terms

AEO, answer engine optimization, is shaping a page so a search surface can lift a short, correct answer from it. GEO, generative engine optimization, is getting your company named or cited inside an answer an AI model writes from several sources. One extracts. The other composes.

The labels have different birthdays. Answer-shaped results, like the featured snippets Google documents on its featured snippets page, have been around for years. The GEO label comes from a November 2023 research paper, accepted to KDD 2024, that tested ways to raise a source’s visibility in generative engine responses. Its authors report gains of up to 40% in their own benchmark, and they say results varied by domain. That’s a lab result. It isn’t a promise for your market.

We define each term at length elsewhere. Our post on what AEO is covers the first, and our look at GEO against classic SEO covers the second. Here, only the difference that moves a budget matters.

AEO vs GEO Side by Side

Four rows cover the whole split.

Read the third row twice. AEO lives on your site. GEO lives half on your site and half everywhere else, which is why it’s harder to buy, harder to fake, and slower to produce a result you can point to when the board asks what the money did.

The surfaces also blur. Google’s AI Overviews are answers composed from several pages, so the line between extracting and composing isn’t clean, and you’ll find vendor posts that disagree on whether one term contains the other. Don’t burn an afternoon on that argument. The next section is where the money is.

What the Platforms Say, and What They Don’t

Start with Google, because it caps the hype. Its guide to AI features and your website says the best practices for SEO remain relevant for AI Overviews and AI Mode, and that there are no additional requirements to appear in either. It also says you don’t need new machine readable files, AI text files or markup, and there’s no special schema to add. A page does need to be indexed and eligible to show with a snippet.

Google adds that both features may use “query fan-out,” issuing several related searches across subtopics to build one response. Our read: a page that answers the neighboring questions gets pulled in more often than a page that answers only the headline.

OpenAI is more concrete. It runs OAI-SearchBot for search and GPTBot for training, and its crawler documentation says each setting is independent. A site can allow the first and block the second. A site that opts out of OAI-SearchBot won’t be shown in ChatGPT search answers, though it can still appear as navigational links, and changes take about 24 hours to register.

Perplexity draws the same line. PerplexityBot surfaces and links sites in Perplexity search results and, per its crawler guide, isn’t used to crawl content for foundation models. Perplexity recommends allowing it.

So open your robots.txt today. A blanket bot block that someone added during a security scare is the cheapest GEO failure you will ever fix, and it can sit there for years while the team wonders why no assistant mentions the company. Ten minutes. No retainer.

AEO vs GEO for a Tech Company: Which Goes First

Here’s the rule. Fix what’s broken, answer-shape the pages that already earn attention, then reach outward.

Look at what the table doesn’t say. It never says “buy GEO because AI is coming.” Hype is on my never-write list. AI scales whatever system you already have, good or bad, and a site built on thin pages will scale thin pages faster than any human team could write them.

Why AEO Earns the First Dollar

Three reasons, none of them glamorous.

You can see it. Google says sites that appear in AI features are counted in the Web search type of the Search Console Performance report, so impressions and clicks land in a tool you already own, while GEO has no equivalent dashboard from the assistants and you end up checking it by hand.

The work transfers. A page that opens with the answer, names the real products and platforms, and shows who wrote it is what a snippet needs and what a model can lift, so effort spent on pages isn’t wasted if you add GEO later.

And it ties to pipeline. Ask every new prospect how they found you, and write the answer down. If the word “ChatGPT” starts showing up on that list, you have your GEO business case from the people who pay you. Until then you’re guessing.

A First Four Weeks That Doesn’t Waste Money

1. Week one, access. Read your robots.txt. Allow OAI-SearchBot and PerplexityBot unless leadership has a reason not to, and confirm Googlebot can reach every page that sells.
2. Week two, ten pages. Pick your service, pricing and comparison pages. Rewrite the first 40 words of each so they answer the buyer’s question outright, and name the product, platform or standard involved.
3. Week three, twenty questions. Write the ones your buyers actually ask. Run them in ChatGPT, Perplexity, Gemini and Copilot, and log which companies and which sources come back.
4. Week four, read the log. Where the same third-party sites keep getting named and you aren’t on them, you have your GEO target list. Where you’re named but described wrong, fix your own pages first.

That’s a month and a few hours of one person’s time. Nothing found? You’ve lost very little. A problem found means you now know which half to fund, and you can show the proposal writers your own data instead of taking theirs.

What Not to Buy

Two retainers for one foundation. When a proposal for AEO and a proposal for GEO both open with “audit your site,” you’re paying for the same audit twice and calling it a strategy. To see what one proper audit covers, read about our AI visibility audit.

A citation date. Nobody controls what a model writes, and anyone who sells you a date is selling a story. We don’t promise one.

A file or a schema block pitched as the unlock. Google says it isn’t needed for its AI features. Keep your structured data accurate and matching the visible text, then move on to the work that matters.

If you want a second opinion on a proposal already on your desk, book a strategy call and we’ll read it with you. Our AEO and GEO for SaaS post shows the same sequence applied to a software company. When you are ready to fund the GEO line, here are our generative engine optimization services.