What Is Generative Engine Optimisation (GEO) & How To Do It?
Did you know that Google says AI Overviews now have more than 2.5 billion monthly active users, showing how quickly AI-powered search has become part of the search experience?
People no longer use search engines only to find a list of web pages. They also ask full questions and expect direct answers from AI-powered search tools. This change creates a new challenge for businesses. Your content must be easy for both people and AI systems to understand. This approach is often called generative engine optimisation. It focuses on making useful, clear and trustworthy content that has a better chance of being found, understood and referenced in AI-generated answers.
However, it is important to understand one thing. Google says the core SEO principles still apply to AI features such as AI Overviews and AI Mode.
What Is Generative Engine Optimisation?
Generative engine optimisation (GEO) is the process of improving online content so that AI systems can understand it and potentially use it when creating answers. Traditional search gives users a list of links. While generative search can combine information from several sources and give a combined answer to the user. AI systems choose sources based on many signals. These can include relevance, quality, accessibility, context and trust. So, the goal is simple: ‘Create content that clearly answers real questions and gives AI systems useful information to work with.’ Google’s latest guidelines also highlight that websites should focus on unique, helpful and people-first content rather than trying to create content only for AI systems.‘Focus on your visitors and provide them with unique and satisfying content.’
– Danny Sullivan
How To Do Generative Engine Optimisation?
There is no single trick that guarantees an AI citation. Instead, you should improve the quality, clarity and trust of your content. Here are the main steps that help you succeed with GEO.1. Answer User Questions Clearly and Directly
You should start your content by answering the main question. Do not make readers go through many paragraphs before they find the answer. Put the key point near the beginning of the section. For example, if a user searches for ‘What is website speed?’, your answer should not look like this: ‘Website speed has become an important topic for businesses in recent years.’ Instead, website speed is how quickly a web page loads and becomes usable for visitors.
In addition, use question-based headings when they match what people search for. Then answer each question in a short and useful section.
2. Use Schema Markup to Help AI Understand Your Content
Schema markup is code added to a website that gives search engines extra information about a page. It can help explain what your content is about. Depending on the page, this may include information about an article, product, organisation, person or other supported content type. For example, an article can use article-structured data, and a product page can use product-structured data.
Remember, do not add schema just for the sake of it. The details in your structured data should match what visitors can see on the page.
Pro tip:
Check your structured data before publishing. Incorrect or misleading markup can cause problems and may make the markup ineligible for search features.
3. Create Natural and Conversational Content
Write your content as if you were explaining the topic to a real person. Use simple words, keep sentences short and avoid repeating the same keyword again and again. Natural writing is easier for people to read. It also helps make the main ideas clearer. Google’s guidance is clear that your content should be created for people, not mainly to manipulate search rankings.4. Build an LLM-Friendly Structure
Large language models, or LLMs, help process huge amounts of text. A clear page structure helps both people and machines understand the information on a website.
You should maintain your page structure like this:
- One clear main topic
- Descriptive H2 and H3 headings
- Short paragraphs
- Bullet points
- Step-by-step instructions
- Clear definitions
- Relevant internal links
- Useful examples
- Tables when a comparison needs one
5. Include Sources and Trust Signals
AI systems need reliable information. If you make a claim, then you should support it with trusted sources. These may include government websites, research papers and official industry bodies. You should also show who created or reviewed the content.
Trust signals also make your content strong and authentic. This can include:
- Author information.
- Expert reviews.
- Original research.
- First-hand experience.
- References.
- Data sources.
- Updated information.
6. Monitor, Test and Improve Your GEO Strategy
Your generative engine optimisation work should not stop after publishing a page. AI systems change, search results change, your competitors change and user questions also change. You should track what happens after you improve your content.
Useful things to monitor include:
- AI mentions of your brand.
- Citations to your website.
- Organic search visibility.
- Website traffic.
- Leads and sales.
- Engagement.
- Search Console data.
- Pages that gain or lose visibility.
7. Expand Off-Site Presence
A strong off-site presence can help people discover your brand in more places. It can also give search systems more information about your business. Your website is only one part of your online presence. You should build a strong presence across trusted and relevant websites. This can include:- Industry publications.
- News websites.
- Professional directories.
- Expert interviews.
- Research websites.
- Relevant business profiles.
- Industry communities.
The Challenges of Generative Engine Optimisation
Generative engine optimisation has potential, but it also has limits. The biggest challenge is that you do not control the final AI answer. Some of the key challenges are outlined below:1. The Black-Box Problem
You may not know exactly why one source was selected and another was ignored. The original GEO research described generative engines as fast-moving and black-box systems where content creators have little control over when and how their content appears. Results can also change when the question changes. In this case, you should focus on helpful content, strong sources, good site access and clear details. Do not try to chase one fixed AI answer.2. Zero-Click Searches
A zero-click search happens when someone gets the answer without visiting a website. For example, an AI search result may answer a simple question directly. This can reduce the need for some users to click a website. But that does not mean clicks have no value.
A user may still visit your website when they want more details, wish to compare services or are ready to buy something. That is why businesses should track outcomes, not just clicks.
3. No Direct Control
You cannot force Google, ChatGPT or another AI system to cite your website. You can do only one thing, and that is control what you publish and how accessible it is. Google advised meeting technical requirements and following best practices does not guarantee that your page will appear in AI features.
You can do these things:
- Keep content accurate.
- Make pages accessible to crawlers.
- Use clear headings.
- Add suitable structured data.
- Provide useful sources.
- Keep important information updated.
- Follow Google’s Search Essentials.
Case Study: How Trust Insights Improved Its AI Search Visibility
Trust Insights, a marketing analytics and AI consulting company, used its own website to test whether a structured GEO strategy could improve visibility in AI-powered search or not.The Challenge
The company saw changes in traditional search performance as AI-generated answers became more common. It found that people could get answers from tools such as ChatGPT, Gemini and Claude without visiting a website. It also faced a measurement problem. It was difficult to see exactly how often AI tools were using its content.What They Did
The company used a three-part approach:- Native Knowledge: It improved key information of the company and organised it into clear sections. This helped explain who the company was, what it offered and why it was relevant.
- Search Findability: It used consistent structured data across the website and maintained strong technical SEO foundations so search systems could better crawl and understand its pages.
- Content Usefulness: It turned podcast and video content into written transcripts and published content across several formats. This gave AI systems more useful and crawlable information to work with.
The Results
Over six months, from October 2025 to March 2026, Trust Insights reported:
This case study shows that generative engine optimisation can be measured through more than rankings. AI citations, referral traffic and user engagement can all help you understand whether your content is gaining visibility in AI-powered search or not.
Conclusion
GEO is becoming an important topic as AI changes how people search for information. To stay aligned with GEO, the best approach is simple. Answer real questions, use clear structure and add useful schema. In addition, support important claims with trusted sources, keep your information accurate, build a strong presence beyond your own website and then test the results and improve your content. Apply all of these strategies effectively, and then your content can serve people across traditional search and new AI-powered search experiences. Still worried about content? Our expert content team can help you stay aligned with GEO and its best practices, so you achieve your results.Want to make your content more visible in AI-powered search?
Contact us and let us help you build a GEO-focused content strategy.
FAQs
Generative engine optimisation is the practice of improving online content so generative AI systems can better understand and potentially use or cite it in their answers.
No. Structured data can help Google understand page content, but it does not guarantee a search feature or AI citation. The markup must also accurately match the visible content.
No. AI systems decide which information to use. Their answers can also change between queries. The best approach is to create accurate, useful and trustworthy content rather than trying to control a specific answer.
Not automatically. Google says it focuses on the quality of content rather than whether humans or AI produced it. However, automatically creating large amounts of low-quality content to manipulate search rankings can violate its spam policies.
There is no single rule. Review pages whenever important facts, laws, products or services change. For AI visibility, test your main customer questions regularly. Compare the results over time and update your content when needed.