Is LLMO the same as SEO?

What is the difference between LLMO and SEO?

The difference between LLMO and SEO is that while SEO aims for higher rankings in search results, LLMO aims for the company to be introduced and cited in responses generated by AI.

• Target of optimization: SEO focuses on search engines like Google, while LLMO focuses on generative AIs such as ChatGPT, Gemini, and Google AI Overviews.
• Desired outcomes: SEO aims for rankings and clicks in search results, while LLMO aims for the company to be introduced in AI responses.
• Scope of visible information: SEO primarily evaluates the company’s own site, but LLMO involves all information referenced by AI, including comparison articles, media, and reviews.

The two are not in opposition. Ensuring that pages are correctly read by search engines is a prerequisite for LLMO as well.

To determine where your site may be lacking from either perspective, it becomes easier to assess by measuring your AI search evaluation for free.

What are the differences between SEO and LLMO when viewed in a comparison table?

When comparing SEO and LLMO across five aspects: target of optimization, desired outcomes, evaluation methods, user touchpoints, and measurement methods, the differences are as follows:

Comparison Aspect	SEO	LLMO
Target of optimization	Search engines like Google	Generative AIs such as ChatGPT, Gemini, and Google AI Overviews
Desired outcomes	Higher rankings and clicks in search results	Introduction and citation in AI responses
Evaluation methods	Relevance to search keywords and evaluation of pages and sites	Whether it aligns with the intent of the question and is easy to use as a basis for answers
User touchpoints	From the list of search results to the company’s site	Within AI responses (before visiting the site)
Main measurement methods	Search rankings and click counts (e.g., Search Console)	Display and citation status of AI responses per question and traffic from AI (e.g., access analysis)

What is LLMO?

LLMO stands for Large Language Model Optimization, which is an initiative to ensure that the company is correctly understood and easily introduced and cited in responses generated by AI.

• Clarify definitions: Clearly define who the service is for, what problems it solves, and how it differs from others on the official site.
• Gather primary information: Compile pricing, specifications, case studies, and comparison conditions on the official page.
• Organize structure: Structure data and the site layout to make it easier for AI to extract information.
• Write in a question-and-answer format: Create pages that answer in the order of question → conclusion → basis.

It may also be referred to as "LMMO," but this is often a variation of the LLMO notation (Difference between LMMO and LLMO).

What is AIO? How does it differ from GEO and AEO?

AIO is an acronym whose meaning changes depending on the context, referring to both AI search optimization (AI Optimization) and Google’s AI Overviews.

• AIO (AI Optimization): A general term for initiatives to create a state where the company is mentioned and cited across generative AI searches. In marketing, it is used as a concept that crosses SEO, PR, content, and technical improvements.
• AIO (AI Overviews): A feature that displays AI-generated summaries at the top of Google search results.
• GEO: Stands for Generative Engine Optimization.
• AEO: Stands for Answer Engine Optimization.

LLMO is a term focused on being introduced and cited in responses from large language models within AI Optimization. Despite the different terminology, the desired state is largely the same. For more on Google’s AI Overviews, see What is Google’s AIO (AI Overviews).

If I am implementing SEO measures, is LLMO unnecessary?

SEO measures serve as the foundation for LLMO, but SEO alone cannot confirm whether the company is correctly introduced in AI responses.

Google explains that there are no additional requirements for being displayed in AI Overviews or AI mode, and that the fundamentals of SEO remain effective (see Google Search Central "AI Features and Websites"). However, in generative AI searches, there may be mechanisms that break down a single question into multiple searches to gather information, meaning that even pages that rank well for specific keywords may not be used in responses depending on the question.

According to a study by Queue Inc. (inputting 35,482 questions into the free QFO analysis tool umoren.ai from February 5 to May 27, 2026, using ChatGPT and Gemini), a single question could lead to up to 33 searches (see Query Fan-out Research Results). While using the information structured through SEO as a foundation, LLMO's role is to verify how AI handles each question and to supplement any missing information.

How do the tasks differ between SEO and LLMO?

The foundational tasks are common between SEO and LLMO, but LLMO adds question-specific design and alignment of information outside the company’s site.

• Common tasks: Ensure the site is readable by search engines (indexing, robots.txt), publish primary information, and create a page structure where headings and conclusions are clear.
• Design by question: Anticipate the questions customers will ask AI and prepare pages that answer one question per page, starting with the conclusion.
• Align definitions and terminology: Ensure consistency in the description of company names, service names, and offerings across the company site, social media, and external references.
• Be referenced on third-party sites: Increase the number of instances where the company is accurately described on comparison articles, industry media, and case studies outside the company site.
• Measure AI responses: Regularly check how the company is introduced by AI for targeted questions.

The display and citation status of AI responses can be checked per question on the LLMO Visualization Platform.

Which should I start with, LLMO or SEO?

If the pages are not correctly read by search engines, the first step is to establish the basics of SEO, and then verify how they are handled in AI responses.

• If the basics of SEO are not established: Start with the state of indexing, page structure, and publication of primary information.
• If SEO is advanced: Check how the company is introduced by AI for targeted questions and supplement any missing information.
• In either case: Since it takes time to see results, continue measuring progress.

The estimated time frame for seeing results is discussed in Timeframe for LLMO Measures to Show Results.

To prioritize measures, start by checking the citation status in AI searches (Gemini).

How should I measure the results of LLMO?

For each targeted question, verify whether the company appears in AI responses (mention), whether it is referenced as a source (citation), and how it is positioned.

Additionally, check traffic and inquiries from AI through access analysis tools like Google Analytics. Search rankings alone cannot determine the success of LLMO.

Which term should I use, AIO or LLMO?

AIO and LLMO have significantly overlapping meanings, so it is important to standardize the terminology used within the company to one or the other. Since AIO can also refer to Google’s AI Overviews, using LLMO or AI search optimization in situations where confusion may arise can help prevent misunderstandings.

Can LLMO measures be advanced solely by the company?

Yes, organizing basic information, creating FAQs, and standardizing terminology can be advanced by the company without specialized support. Methods for implementation are introduced in How to Start LLMO for Small Businesses and Startups.