What Are AIO, GEO, and LLMO?

Tomohiro Iida · Published June 26, 2026 · Updated August 6, 2026

The terms AIO, GEO, and LLMO come up more and more often. All of them are used to describe work aimed at getting a company’s information found in generative AI and AI search, and understood accurately. None of them, however, is an official measure name defined by Google: the meaning differs between vendors and articles, and the same word can point to a different scope of support.

What matters when commissioning work, or deciding internally, is not memorizing the differences between the terms. It is being clear about which search and AI services you are targeting, what you will observe, which changes you will implement, and how you will confirm the outcome.

The terms have no standardized definition

They are commonly used along these lines.

• AIO: broad optimization that includes AI search and AI features.
• GEO: work aimed at being cited or mentioned as a source inside answers generated by AI.
• LLMO: work aimed at making a company and its content easy for a large language model to interpret.

This split is not an industry-wide standard. Some companies explain AIO as "AI Overview Optimization," others as "Artificial Intelligence Optimization," and GEO and LLMO are sometimes used to mean the same thing. The definitions themselves are also sorted out in our article on GEO.

Because of that, a term written into a quote or a proposal does not tell you what the work actually is. At minimum, confirm the following.

• Whether the target is Google Search, ChatGPT search, or Perplexity
• How far the scope reaches: technical diagnosis, article production, implementation, measurement
• What will be handed over as a deliverable
• Who will edit the code or the CMS
• What will be treated as the success metric
• Whether the wording guarantees an outcome

For Google’s AI features, ordinary SEO is the foundation

Google states that no additional technical requirement and no special optimization are needed to appear in AI Overviews or AI Mode (Google Search Central, "AI features and your website," checked August 6, 2026).

The technical premise is that a page is indexed by Google and can be eligible for snippet display in search results. On that basis, official guidance holds that the SEO basics continue to matter: a clear site structure, original and useful content, accurate information, and a good page experience. How AI Overviews works is covered in more depth in our AI Overviews guide.

That leads to the following order of priority for Google.

1. Make the site retrievable by search

• You are not unintentionally blocking pages through robots.txt or authentication
• noindex and canonical are set correctly
• The body text can be retrieved even on a JavaScript-driven site
• The sitemap and internal links work
• There are no duplicate URLs, 404s, or broken redirects

2. Publish original, useful information

• Answer the questions customers actually ask
• Go beyond a summary of general knowledge and show experience, data, and criteria for judgment
• State pricing, who it is for, track record, and the conditions you do not cover
• Update stale information and keep a single canonical source

3. Build a structure people can judge from

• The conclusion and its grounds are not too far apart
• The subject and the object are clear
• Tables and headings make the terms of comparison visible
• The author, the operator, the update date, and the contact point can be confirmed

None of this is done solely for AI. Searchers and prospective customers need it too, in order to understand a company, compare it, and get in touch.

The "AI search hacks" Google does not ask for

Google advises against putting excessive effort into the following as tactics for generative AI search (Google Search Central, "Optimizing for generative AI features," checked August 6, 2026).

• Chopping text into small pieces purely for AI
• Producing unnecessary AI-facing files such as llms.txt
• Adding AI-specific schema.org markup
• Manufacturing mentions or recommendations with no basis in reality
• Mass-generating the same content once per search term

Structured data is useful for rich-result eligibility in Google Search and for keeping information consistent. There is, however, no special structured data for appearing in generative AI features. Our thinking on implementation is collected in the structured data guide.

llms.txt is worth trying as a proposed spec, but it is not a requirement for Google Search. Installing it alone cannot be said to increase citation or recommendation by AI.

Google ended the display of FAQ rich results on May 7, 2026. Keeping FAQ structured data in place is not a problem, but you can no longer expect it to appear as a rich result in search listings. FAQs themselves remain useful as visible content that answers customer questions.

Treat AI search outside Google separately

ChatGPT search, Perplexity, and other outside AI services do not work the way Google does. Each combines its own search infrastructure, partner search, crawlers, and page retrieval triggered by a user action.

For AI outside Google, check at least the following separately.

• Whether robots.txt blocks the crawlers used for search and reference
• Whether public pages have become unretrievable behind authentication or a WAF
• Whether the company name, service names, pricing, and address match across the places they are published
• Whether the information needed to answer comparison questions is published
• Whether you observe cited facts separately from facts reflected in the body of an answer
• Whether referral traffic from AI services can be confirmed in GA4

Allowing a crawler is not a guarantee of citation or recommendation. It is one of the conditions that makes retrieval possible. The states common to sites that do not get referenced are organized in a separate article.

Eight stages from existence to improvement

Evaluating AI search readiness with a single score makes it impossible to see where things stop. To diagnose everything from "being found" through to "an inquiry" separately, Netsujo SIGNAL divides the path into the following stages.

Separating the stages makes it possible to judge whether to add articles, fix code, resolve inconsistent information, or improve the path to an inquiry.

Seven questions to ask before commissioning work

If you are commissioning support under the name AIO, GEO, or LLMO, confirm these seven points.

• Which search and AI services are you targeting?
• What data will you use to establish the current state?
• Does the work include implementation in code or the CMS, not only article proposals?
• How will you increase first-hand information and original data?
• How will you distinguish citation, reflection in an answer, traffic, and inquiries?
• How will you manage the canonical source for pricing, company information, and service conditions?
• Are you selling, as required work, tactics that Google states are not needed?

Clarity about who is responsible for what, and about how results will be verified, matters more than the novelty of a term. How to choose a partner is covered separately.

How Netsujo approaches this

Netsujo SIGNAL does not start by adding AI-facing files or increasing the article count. We confirm the customer’s goal on the web, then diagnose, stage by stage, the facts currently published, how search and AI find them, the site structure, and the path to an inquiry.

From there we convert the required fixes into an implementable specification, and improve the code or the CMS where that is needed.

AIO, GEO, and LLMO are convenient names for a piece of work. What is ultimately needed, though, is a state in which customers can find a company, understand it, compare it, and talk to it. We prioritize the implementation and measurement that produce that state over the name.

Frequently asked questions

What are AIO, GEO, and LLMO?

All of them are used as words for work aimed at getting a company’s information found in generative AI and AI search, and understood accurately. The scope differs depending on who proposes the term, and the industry has not standardized the definitions. Only the goal is shared; a new-sounding term and genuinely new work are two different things.

Do AIO and GEO need to be done separately from SEO?

Google states that no additional technical requirement and no special optimization are needed to appear in AI Overviews or AI Mode. The technical premise is that a page is indexed and can be eligible for snippet display in search results. On that basis, the SEO basics continue to matter: a clear site structure, original and useful content, accurate information, and a good page experience.

Should we create llms.txt or AI-specific schema?

Google states there is no special structured data for appearing in generative AI features. llms.txt is worth trying as a proposed spec, but it is not a requirement for Google Search. Installing it alone cannot be said to increase citation or recommendation by AI.

Is FAQ structured data still effective?

Google ended the display of FAQ rich results on May 7, 2026. Keeping FAQ structured data in place is not a problem, but you can no longer expect it to appear as a rich result in search listings. FAQs themselves remain effective as visible content that answers customer questions.

Do ChatGPT search and Perplexity need the same treatment as Google?

No. Each service combines its own search infrastructure, partner search, crawlers, and page retrieval triggered by a user action. Check crawler permissions, whether pages are retrievable through authentication or a WAF, and whether information matches across the places it is published, separately from Google. Allowing a crawler is not a guarantee of citation or recommendation.

How should visibility in AI search be measured?

AI answers vary by model, search feature, region, and point in time, so a single screenshot cannot measure them. On the Google Search side, check indexing status, impressions, clicks, and traffic continuously via Search Console and GA4. On the AI-service side, observe a fixed set of queries several times under several conditions, and record whether the company is mentioned, whether the official URL is referenced, and whether the facts match. Judge by the pattern across repeated observations, not a single result.

A B2B site that is merely published does not sell — 21 companies audited on 75 checksWhat each standard requires, what we observed, and the recommended improvements.