More and more people in 2025 will no longer search via Google, but will ask their questions to an AI such as ChatGPT, Gemini or Perplexity. Those not visible there simply do not exist in the answer. Therefore, bet on LLMO optimisation for AI systems. Make sure your brand is mentioned, quoted and recognised in AI answers.
We at Onder.co.uk will help you do just that. We make sure your brand stands out in the AI era. Visible, findable and relevant, exactly where your customer is looking.
Help me with LLMO!Large language models (LLMs) are smart AI systems trained to deal with language. They can write texts, answer questions, create summaries and much more. They can do this because they have been trained on huge amounts of text. So they learn to recognise patterns and connections. Based on that, they create new texts that fit what you ask.
A well-known example is OpenAI's ChatGPT, which works with the model GPT-4o. ChatGPT lets you do all sorts of things: write texts, make translations, ask questions, have code generated or even come up with new ideas.
But as a ondernemer, what good is an LLM?
LLMs (such as ChatGPT) do not provide a list of links, but instant answers. For many people, that feels faster and clearer than clicking through to websites themselves. For businesses, this changes the rule of the game: it is not enough to rank high in Google. You want to be in the answer itself. Because that is what people really read. LLMs are therefore an additional channel to advertise your goods or service
LLMO stands for Large Language Model Optimisation. (in Dutch: Great language optimisation). This is a new way of optimising online, targeting AI systems like ChatGPT and Perplexity. It is similar to SEO, but works differently.
Instead of aiming for search results in Google, here you influence the answers given by AI systems. You do this, for example, by writing your content in such a way that LLMs can include it in their answers. You can also influence what information they use.
Because AI works differently from a search engine, LLMO requires a different approach. So companies must not only be findable, but also discussed in AI's answers.
LLMO is the strategy that ensures your brand is reflected in LLMs' answers. You can think of it as the overarching approach on top of SEO, AEO and GEO :
LLMO connects these three layers and is the key to sustainable online visibility in an increasingly AI-driven world.
More and more people are asking their questions to ChatGPT or other AI systems, rather than Google. Fairing.co's onder search shows that this trend continues to grow. For businesses, this means: optimising for AI is becoming as important as classic SEO.
Waiting for more onderransition to LLMs sounds logical, but carries risks. LLMO takes time. AI models don't adjust their output overnight. As with Google, you only see effects of your adjustments after weeks. And with AI, it can take even longer.
Are you starting with LLMO now? Then you will soon have a head start. Companies that take this onderwerp seriously are building their visibility in tomorrow's answers today.
Question | Reply |
How did you FIRST hear about us? | I asked ChatGPT what were the best sites |
How did you hear about us? | chatgpt |
How did you hear about us? | Chat GPT |
Wie bist du auf uns aufmerksam geworden? | chatGPT |
One more thing: How did you hear about us? | Talking to chatgpt |
One more thing: How did you hear about us? | ChatGPT |
"Responses from customers of online shops when asked how they became aware of the shop or brand in question."
How Onder helps you with LLMO
Is your brand already among the answers from ChatGPT, Gemini or Perplexity? At Onder, we make sure AI systems recognise and cite your organisation as a trusted source. You focus on your business, we make you visible. We translate LLMO - think AI SEO, AEO and GEO - into a clear approach. From content and technology to strategy: we make sure your brand stands out in AI answers, where one result makes all the difference.
Wondering what we can do for you? Then contact us without obligation!
LLMO is still new, and good onder search is still lacking. Still, you can do a lot right now. LLMs (like ChatGPT) build their answers from what they have learned from existing content. By cleverly capitalising on those sources, you increase the chances of your brand appearing in the answer.
LLMs often extract information from database websites, knowledge aggregators or major publishers such as the Financial Times or Forbes. Examples of database websites are business directories or assessment platforms. Knowledge aggregators are, for example, Wikipedia or YouTube. A key measure within LLMO is therefore making sure your brand is mentioned on external websites and especially in well-known databases. This means that companies can use PR campaigns or paid content to secure a spot on websites relevant to LLMs. What is important here is that it is not just about backlinks (as with SEO), but naming in the right context, on sites that are of high relevance to an LLM.
1. Adapt your content structure to that of the LLM
Ask an LLM directly how it would describe or structure an onder object, product or service. Use this as the basis for your own writing and onder back it up with structured data. This may seem like imitation, but it is an effective way to be taken on board by an LLM.
2. Use clear and informative language
LLMs process information best when it is clear, simple and rich in information. Texts with clear comparisons, advantages and disadvantages are ideal.
3. Avoid long ononderbroken texts
Long blocks of text zonder headings are difficult for LLMs. Provide short sections, start longer pieces with a summary, and use sub-headings so that the content is more digestible.
4. Add citations and dates
Quotes and references to well-known experts or figures can increase findability and relevance in LLM results. Statistics and quantitative data also strengthen the LLMO strategy.
5. Keep optimising continuously
As with SEO, LLMO is an ongoing process. Companies must constantly evolve their strategy and respond to technological innovations and competitors. Stagnation means loss of visibility.
Suppose you have a page about the importance of sunscreen.
With traditional SEO, focus mainly on keywords such as "buy sunburn" or "best sunscreen". But with LLMO, it goes beyond keywords. An LLM like ChatGPT or Gemini needs to understand your content, be able to quote it and use it in a response. That means your page needs to be laid out differently:
That way, you increase the chances of an LLM selecting your text and using it in an AI response. Not only will you be found via Google, but also served in the new generation of search and response systems.
Make sure your text is ready to be quoted in AI-generated answers. Stop thinking only about "ranking" and start thinking about "being served" in an AI response.
Would you prefer personal advice? Then feel free to contact the specialists at Onder. We will be happy to help you with all your questions about LLMO, AEO, GEO and SEO - and together build a content strategy that is ready for the future.
Would you rather get started yourself? Then start here:
LLMO stands for Large Language Model Optimization. Its strategy is to optimise content and online presence for major language models. Where SEO focuses on search engines, LLMO focuses on findability in AI systems such as ChatGPT, Gemini or Perplexity.
LLM stands for Large Language Model. It is a type of AI that is trained on huge amounts of text and can therefore understand and generate human language. LLMs can write texts, answer questions, translate and summarise.
Yes, ChatGPT is an LLM. It is built on OpenAI's GPT models and can understand, generate and structure human language. ChatGPT is one of the best-known applications of LLM technology.
Yes, Google's Gemini is an LLM. It is the successor to Bard and belongs to the family of multimodal large language models that combine text, images and sometimes audio.
AI is the collective term for artificial intelligence. LLMs are a specific type of AI specialising in language. All LLMs are AI, but not all AI is an LLM. AI can also do image recognition, robotics or prediction, while LLMs focus on text and language.
The advantages of LLMO are:
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