LLMO is the new SEO
- ZR Marketing
- 1 day ago
- 4 min read
Updated: 12 hours ago
How to implement it now in your marketing strategy
In recent years, consumer search behavior has evolved. While Google and Bing still dominate traditional search, large-scale language models (LLMs) like ChatGPT, Google Gemini, and Grok are quickly gaining ground as the preferred tools for finding fast and accurate answers.
This has created a new need for companies: optimizing their content to stand out in the responses generated by these AIs. This practice is known as LLMO - Large Language Model Optimization - and it represents the evolution of SEO , adapting to changes in user behavior and leveraging AI tools to generate more accurate and personalized results.
Here we will explore behavioral data about Brazilians and how they are migrating from traditional searches to interactions with LLMs. In addition, we will explain what LLMO is, the differences between LLMO and SEO, how to implement it effectively and a practical playbook with best practices.
93% of Brazilians use AIs like ChatGPT in their daily searches
Recent behavioral data indicates a clear shift in Brazilian consumers’ search habits. AI tools are gaining traction, and the preference for language models is evident:
A survey carried out by Ipsos and Google revealed that 54% of Brazilians used generative AI in 2024, surpassing the global average of 48%.
65% of Brazilians use virtual assistants or AI tools to perform searches and resolve queries. This number continues to grow as more people adopt AI assistants such as ChatGPT, Google Gemini and Grok.
48% of internet users in Brazil already prefer to use AI chatbots and virtual assistants instead of searching on traditional search engines like Google or Bing. This behavior is even more pronounced among Gen Z and millennials, with 60% of 18- to 44-year-olds opting for ChatGPT or Gemini to conduct their searches.
42% of Brazilians prefer to use AI assistants like Siri, Alexa and Google Assistant to perform quick searches, instead of opening traditional browsers.
These numbers leave no doubt: consumers are moving from traditional searches to interacting with AI models. With this, LLMO strategy becomes increasingly important to ensure that your brand is not left behind.
What is LLMO (Large Language Model Optimization)?
LLMO is a practice that aims to optimize content to be relevant and useful in AI-generated responses, such as ChatGPT, Google Gemini, Grok, and other virtual assistants and AI systems. Unlike traditional SEO, which focuses on ranking pages in search engines, LLMO focuses on the relevance and context of the responses that AIs generate when a user interacts with them.
How does it work?
Content optimization: Create structured, question-oriented content that can be easily consumed and processed by AIs to generate relevant answers.
Understanding intent: LLMO takes into account the user intent behind the search and the context of the questions asked. AIs can generate accurate answers that meet the user’s needs, which requires content to be optimized for these contexts.
LLMO vs SEO
Aspect | SEO | LLMO |
Main objective | Optimize web pages to improve visibility in search engines. | Optimize content to appear in AI responses, like in ChatGPT. |
How it works | Focuses on keywords, links and relevant content for ranking in traditional search engines. | Focuses on content relevance, understanding user intent and the context of questions asked to AI systems. |
Platforms | Google, Bing, Yahoo, etc. | ChatGPT, Google Gemini, Grok, Siri, Alexa, among other AI assistants |
Success metrics | Higher positions in organic search results. | Be mentioned in AI-generated responses, with contextual relevance. |
The main difference between SEO and LLMO is the focus on platform type and user experience. SEO aims to optimize content for search engines, while LLMO optimizes content to be found and cited directly in the responses of virtual assistants and AIs, offering a more fluid and personalized experience to the user.
And why implement LLMO now?
For several reasons:
Changing user behavior: As we’ve seen, consumers are moving toward AI assistants that provide fast, accurate answers. Not optimizing for these systems means missing out on a huge engagement opportunity.
Positioning yourself in the future (present!) of marketing: AI is a growing part of the future of search. Models like ChatGPT and Google Gemini are the new channels for communicating with consumers. Being optimized for these platforms is essential to maintaining relevance.
Increased efficiency : AI is already helping businesses streamline their customer interactions. With LLMO, you can automate responses, improve customer service, and continuously optimize the user journey.
Playbook for LLMO implementation
Understand user intent :
Use AI analytics tools like AnswerThePublic or SEMrush to identify the most frequently asked questions by your audience.
From there, you can create content optimized to answer those questions clearly and accurately.
Create AI-optimized content :
Use structured data ( Schema.org ) : Implementing structured data on your website helps AIs better understand the content and contextualize it in responses.
Format your content in a way that is easily understood by language models, such as chata. Use simple, direct language, with clear, concise answers to users’ most frequently asked questions.
Adopt the use of language models :
When writing your content, think about how it would be processed by AI. For example, when writing FAQs, ask yourself: “Could this answer be easily integrated into a conversation with an AI virtual assistant?”
Monitor and adjust in real time :
Use tools like Brandwatch , Meltwater , and Talkwalker to monitor how your brand is being mentioned in AI responses.
Adjust your content based on the feedback you collect to improve relevance and ensure your brand is being presented in an accurate and useful way to users.
Test and improve :
Conduct A/B testing to understand which types of content generate better responses on AI platforms.
Monitor the relevance of responses in AI interactions and adjust your content as needed.
Conclusion
Adapting to LLMO is not a choice, it’s a necessity. AI tools like ChatGPT, Google Gemini, and Grok are shaping the future of search and digital communication. Being optimized for these language models not only ensures visibility but also improves the user experience by providing fast and relevant answers.
By implementing LLMO , ZR Marketing helps its clients be at the forefront of this transformation by strategically positioning their brands in AI-powered answers, ensuring they are found and remembered when consumers ask questions.
Is your brand ready to stand out in AI responses? Contact ZR Marketing and find out how we can help you implement LLMO to increase your digital relevance and conversion.