By Jonas Hoener,

October 15, 2025

What Is LLMO? A Beginner’s Guide to Large Language Model Optimisation

In the fast-evolving world of search and AI, the acronym LLMO is becoming more than just a buzzword. For modern content strategists and SEO professionals, understanding LLMO (Large Language Model Optimisation) is rapidly turning into a necessity.

In this guide, we will walk you through what LLMO means, why it matters, and how to begin optimising your content for the age of AI-driven discovery.

Why LLMO Matters Now

Traditional SEO has long focused on helping websites rank in search engine result pages (SERPs). But increasingly, users are turning to conversational, AI-powered assistants (ChatGPT, Google AI Overviews, Gemini, Claude, Perplexity and so forth) to get direct answers rather than click through link after link.

In such contexts, content that is not just visible on a web page but also pickable, quotable and trusted by large language models can gain an advantage. That is the domain of LLMO.

What is LLMO?

LLMO (Large Language Model Optimisation) refers to the set of strategies and best practices designed to increase the chances that content is understood, retrieved, and cited by large language models (LLMs) when they generate answers.

In short, LLMO is like SEO for the AI era: the goal is not just to rank, but to be used by the AI itself. (Some also use terms like GEO (Generative Engine Optimisation) or AI SEO, though they overlap heavily with LLMO concepts.)

How LLMO Differs from Classic SEO (and How They Intersect)

To avoid confusion, it’s useful to draw a comparison between traditional SEO and LLMO, and to see where they complement each other.

Dimension	Traditional SEO	LLMO
Primary objective	Achieve high ranking on search engines (Google, Bing, etc.)	Be selected, cited, or used within AI-generated responses
Key signals	Keywords, backlinks, domain authority, CTR, on-page SEO	Semantic clarity, entity linking, structured data, trust signals
Optimisation focus	Page-level, site-level, backlink strategy	Passage-level, fragment-level, context embedding
Metrics & success	Impressions, clicks, ranking positions	AI citations, brand mentions, referral traffic from AI sources
Time horizon	Medium to long (weeks to months)	Possibly longer (as AI models evolve)

In practice, you don’t abandon SEO when doing LLMO. Rather, you augment SEO with extra layers of structure, clarity and credibility to make your content “AI-friendly.”

LLMO leverages many of the same foundations as SEO but with a sharper focus on how AI models parse, summarise and quote content.

Key Principles of LLMO (for Beginners)

Here are fundamental principles to guide your approach to LLMO:

1. Write with Clarity and Structure

LLMs are sensitive to how content is structured and semantically clear. Therefore, you should consider:

Use short to medium-length sentences (e.g. 8–25 words) and avoid overly nested clauses.
Use headings, subheadings, lists and answer-first format (i.e. state the answer, then elaborate).
Focus each paragraph on one idea. Avoid mixing multiple loosely related ideas in the same paragraph.

2. Emphasise Semantic Richness and Entity Clarity

LLMs thrive when they recognise clear entities (brands, products, people, places) and relationships among them. Making use of this information, be sure to:

Use clear, unambiguous naming of entities (e.g. “Saigon Digital, an SEO agency in HCMC”)
Where relevant, define terms, use consistent references and link related works or pages
Use schema markup (JSON-LD, structured data) for FAQs, how-tos, product details etc., so AI retrieval systems can more confidently parse your content

3. Build Topical Authority and Depth

AI models prefer to draw from sources that demonstrate depth and consistency:

Create clusters of content around key subjects (pillar pages + supporting articles)
Use internal linking thoughtfully to reinforce thematic connections
Update content over time to keep it fresh, relevant and expanding in depth

4. Earn External Signals of Authority

LLMs may implicitly favour sources with strong reputation, mentions or backing in other trusted domains:

Acquire citations, guest posts or mentions on reputable sites in your industry
Maintain strong citation practices, use references, data sources, external links
Cultivate consistent brand presence so AI models “learn” to associate your brand with certain subject areas

5. Monitor and adapt as AI evolves

Because LLMO is still nascent, continuous monitoring is essential:

Track whether your content is being referenced or cited by AI-based tools
Monitor referral traffic from AI platforms
Experiment with small changes (heading reorders, schema tweaks) and observe effects
Stay abreast of changes in AI retrieval and summarisation methods in the industry

A Step-by-Step Beginner’s Guide to LLMO for Your Website

If you’re starting from scratch (or shifting from SEO to an AI-inclusive mindset), here is a practical roadmap:

Step 1: Audit your content through “AI-lens”

Go through your existing content and ask:

Are my sentences clear, precise, well structured?
Do I introduce and define key entities (brands, terms, people) with clarity?
Do I use headings, lists, FAQ or structured sections?
Do I interlink in a way that reinforces subject breadth?

Mark which pages are most critical (pillar pages, service pages, high-conversion topics) and prioritise them for optimisation.

Step 2: Create a content cluster strategy

Pick a core theme (e.g. “digital marketing in HCMC”, “SEO tactics for AI era”) and plan:

A pillar / master guide page
Supporting articles that explore subtopics
Interlinking and cross-referencing among them
Make sure each article has strong clarity, structure, entity mentions

Step 3: Add or refine structured data & schema

Implement or refine structured data (JSON-LD) in your key pages:

FAQs
How-to steps
Product or service schema
Organisation / brand schema

These help retrieval systems better parse your content blocks.

Step 4: Earn authoritative citations

Begin or improve your digital PR efforts:

Guest posts or contributions on reputable sites
Industry interviews, case studies, reports
Getting your content cited by others
Promoting content so that it’s shared and referenced

These signals help AI models “learn” that your domain is trustworthy.

Step 5: Test small experiments & measure

Pick a few pages and run controlled experiments:

Change heading phrasing
Reorganise sections (e.g. put a key answer higher)
Add or adjust schema markup
Add more entity clarity or internal links

Then track:

Whether AI chat tools reference or quote your content
Referral traffic coming from AI interfaces
Any brand mentions or queries that you can trace back

Step 6: Iterate and scale

Based on results, gradually roll out optimisations across more pages. Continuously refresh key content, monitor AI trends (e.g. changes in how Bing or Google’s AI Overviews work) and adjust accordingly.

Challenges, Risks, and Caveats

While LLMO holds promise, it’s not without caveats. It’s useful to maintain a balanced perspective.

The AI “Black Box” Problem

We don’t fully know how (or which) LLMs choose which sources to quote or cite. The mechanisms are opaque. So not every optimisation will produce visible results.

Potential for Manipulation or “Black Hat” Tactics

Some experiments have shown that models can be nudged by strategic text sequencing or similar manipulative techniques to favour particular brands unfairly. But such methods can be ethically dubious, unstable or penalised in future algorithm updates.

Evolving AI Models and Algorithm Drift

Because AI models evolve over time, what works today may shift tomorrow. Continual adaptation is necessary.

Balancing User Experience vs AI Needs

Don’t let AI optimisation compromise the readability, value or authenticity of your content. Real humans still read, engage and convert. The user must come first.

Don’t let your brand be left out of AI answers.

Ultimately, LLMO doesn’t replace SEO, it augments and extends it into the AI era. For a forward-thinking, user-centric agency, it’s a natural evolution in service offering.

Our team at Saigon Digital specialises in SEO and Large Language Model Optimisation to make your content discoverable, trustworthy and quotable.

About the Author

Jonas Hoener

Hi, I'm Jonas, Co-Founder and COO of Saigon Digital. I specialize in operations, business strategy, and process optimization, with a focus on building efficient systems and delivering impactful results. All written work is grounded in my personal experience and expertise gained from managing teams and driving business growth.