Generative Engine Optimization vs AIO: The Two Meanings Of AIO, What Google Says, And The Models Behind AI Overviews

Generative engine optimization vs AIO is the same thing in one sense and not in another, because people use AIO to mean two different things.

If AIO means "AI optimisation", it's practically a synonym for GEO, and if AIO means Google AI Overviews, it's one slice of GEO for one Google feature.

Either way the work underneath is the same, because Google says AI Overviews have no extra requirements beyond good SEO.

If you'd like my team to look at your own site, book a free one-to-one GEO, AEO AI audit and get a custom game plan.

Below you'll get a table that untangles the terms, a plain explanation of each and what Google says about AI Overviews.

Near the end, I'll look at the AI models behind AI Overviews and AI Mode, and what this leaderboard can and can't tell you about them.

Generative engine optimization vs AIO at a glance

This table shows GEO next to both meanings of AIO.

The useful habit is to ask which AIO someone means before you plan any work.

What is GEO?

GEO stands for generative engine optimisation.

The term comes from the paper GEO: Generative Engine Optimization, first submitted in November 2023 by a team from Princeton University, IIT Delhi and two independent researchers.

It was accepted to KDD 2024 and introduced GEO-bench, a benchmark of queries across many subjects for testing visibility in AI answers.

The paper describes generative engines as tools that gather information from several sources and summarise it with a large language model.

In plain words, GEO is getting your business named when someone asks Google AI, Gemini or ChatGPT a question.

What is AIO?

AIO doesn't have one agreed meaning, and that's the honest answer.

Some people use it for AI optimisation, a broad label for being visible in AI search tools and assistants.

Used that way, it's the same job as GEO under a different name.

Other people use it as shorthand for Google AI Overviews, the AI-written summary at the top of some Google searches.

Used that way, optimising for AIO means trying to appear as a source in that one feature.

What Google says about AI Overviews

For the AI Overviews meaning, Google's AI features and your website page is the official source.

It says the best practices for SEO remain relevant, with no additional requirements or special optimisations for AI Overviews or AI Mode.

A page must be indexed and eligible to show in Google Search with a snippet to be a supporting link.

It says you don't need new machine-readable files, AI text files or special schema.org markup.

It says AI Overviews and AI Mode may use a "query fan-out" technique, running several related searches across subtopics to build a response.

It says AI Overviews only appear when Google's systems think they add something to classic Search, so they often don't trigger.

It counts AI features traffic inside the normal Search Console Performance report under the "Web" search type.

It also says clicks from results pages with AI Overviews tend to be higher quality, with people more likely to spend longer on the site.

Controlling what shows in AI Overviews

Google says robots.txt rules for Googlebot are how site owners manage crawling for Search, and that includes its AI features.

To limit what shows from a page, Google points to nosnippet, data-nosnippet, max-snippet and noindex.

It also mentions Google-Extended for limiting training and grounding in some of Google's other AI systems.

I'd only use those controls on purpose, because blocking snippets can also stop a page from appearing as a supporting link.

For most businesses the goal is the opposite, which is to be shown and cited more often.

How GEO relates to optimising for AI Overviews

Google's checklist makes a page eligible, but it doesn't make it the answer.

The AI reads the pages that rank and sums up what they say.

I compare it to five friends recommending the same restaurant, because if five good pages agree on a name, the AI repeats it.

GEO is the work of getting those pages to agree on you, and it applies to AI Overviews and every other AI tool at once.

The GEO paper found that adding citations, quotations and statistics improved visibility, while keyword stuffing performed poorly.

📞 Want to know if your pages are eligible for AI Overviews?

Book a free AEO SEO strategy session and my team will look at your site, your competitors and the keywords you're closest to winning.

→ Get your custom game plan for Google and AI search

The answer engine: one approach for both

I call my GEO system the answer engine, and it has three moves.

I run multiple websites, each with a different angle, which is how I show up two to four times on page one for one search.

When Jev AI dropped, I published on "Jev architecture" and "Jev waitlist" that same weekend.

What it looks like on my screens

In my GEO video, Google's AI Overview for "best geo expert" names me first and cites several of my pages.

The AI Overview for "best HARO agency" lists five suppliers and links Goldie Agency first, and Goldie Agency ranks first organically too.

For "best AI SEO community", AI Profit Boardroom ranks first and the AI Overview cites it more than once.

In my latest video, AI Mode lists me first for the best GEO experts to follow in 2026, and I show that AI Mode does send traffic.

One of my sites went from zero to about 1,300 Google clicks a day, and on one day it got over 9,600 impressions inside Google's AI features.

These are my own results from my own screens, one of my sites flopped, and nobody can guarantee what an AI answer will say.

How to cover both meanings at once

1. Ask which meaning of AIO a brief or proposal uses, and write it down.
2. Check that the pages you want cited are indexed, crawlable and snippet-eligible in Google Search.
3. Make sure structured data matches the visible text, and keep Business Profile or Merchant Center details up to date if you use them.
4. Rebuild your key pages around real case studies, with sources and real numbers.
5. Publish the same story on other sites and platforms from different angles.
6. Run your buyer questions in Google and in other AI tools every week, and note who gets named.
7. Fact-check every AI-assisted page by hand before it goes live.

Google's page on using generative AI content, updated on 1 October 2026, says it's "critical" to review AI content manually, including titles, descriptions, structured data and alt text.

In my latest video I run this kind of workflow with Hermes Agent, which is free and open source, starting from a free Search Console export.

If you'd like help with the order, book a free strategy session and my team will map it to your site.

Two ways to get help

The first is the free AEO SEO strategy session, which I call a free one-to-one GEO, AEO AI audit, and it's a call rather than a written report.

The second is the AI Profit Boardroom, with my Agent OS, a search OS that finds GEO keywords from your own Search Console data, my SEO skill, four coaching calls a week and 3,400+ members.

📞 Ready to cover AI Overviews and every other AI tool?

Claim a free strategy session and leave with a plan to rank in Google and AI search.

→ Book the free call

The models behind AI Overviews and AI Mode, on GoldieBench

GEO and AIO aren't AI models, so neither has a GoldieBench score.

Google says AI Overviews and AI Mode may use different models and techniques, and it doesn't name them on its AI features page.

In my latest video I say on screen that AI Mode runs Gemini 4 Argon, and that model isn't on GoldieBench.

The only Google model on the board today is Gemini 3.6 Flash, so here's how it compares with the other makers whose assistants people ask.

Gemini 3.6 Flash averages 7.08 on its live page, behind Claude Opus 5 at 8.27 and GPT-5.6 Sol at 8.16.

That doesn't tell you anything about the model inside AI Overviews, because it isn't the same model and Google doesn't say which one it uses.

Why model scores don't decide GEO vs AIO

GoldieBench scores one-shot builds, which is a different job from choosing which business to name in an answer.

The original GEO paper ran its experiments with GPT-3.5 Turbo, and its methods still worked when it tested them on Perplexity.ai.

That suggests the content habits matter more than which model is reading, because the model summarises the pages it finds.

Where model quality matters is your own workflow, such as analysing Search Console data or drafting pages from your case studies.

For that, I'd pick a model that follows detailed instructions well and still fact-check every line.

Related reading on GoldieBench

My GEO vs SEO post explains how the two depend on each other.

My GEO vs traditional SEO post covers what changed from the ten-blue-links era.

My GEO examples post shows four real AI answers from my own screens.

Also On Our Network

• Agent Operatorsfive operator steps that cover GEO and AIO
• AI Income Deskwhat a business is really buying with AIO
• AI Tool VerdictGEO and both meanings of AIO scored
• agentos.guideone Agent OS workflow for AI Overviews and GEO
• aiprofitboardroom.comhow I rank in Google AI Mode

Ask which AIO you mean, do the same solid work for both, and you'll have generative engine optimization vs AIO covered.