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GEO

How to optimise your content so that ChatGPT and Gemini cite you in their responses

Appearing in AI responses is not a matter of luck, but of method. This technical GEO (Generative Engine Optimization) guide walks you step by step through structuring your content, applying advanced schema markup and building the semantic authority that makes ChatGPT, Gemini and Perplexity cite you.

GEO does not replace your positioning work: it extends it. Everything that follows assumes you already have a decent SEO foundation — fast site, HTTPS and useful content — and adds on top the signals that generative engines need to choose you as a source. If you are still wondering why this matters, it is worth reading first why appearing in ChatGPT and Gemini matters more than SEO in 2026.

1. Content structure is the most important signal

Language models do not read like a person: they extract self-contained fragments that they can reuse to respond. That is why structure carries more weight than almost anything else. Content organised around explicit questions and direct answers, with one heading per idea and paragraphs that resolve a single point, is far more citable than a long, winding text where the answer is diluted.

The practical rule is simple: each section should be able to be read in isolation and still make sense. Start each block by answering the question and then develop it. That question-answer format not only helps AI; it also improves the experience of the human reader, who finds what they are looking for without detours.

2. Advanced schema markup: beyond the basics

Schema markup translates your content into a language that machines understand without ambiguity. Going beyond the basics means combining several types coherently: FAQPage for frequently asked questions, Article for the content body, Organization to identify who publishes and Service for what you offer.

This markup has a dual benefit. It makes it easier for AI models to process and relate your information with greater precision, and it helps Google display rich results in organic search. A well-implemented schema remains one of the technical investments with the best effort-to-result ratio.

3. The llms.txt file: the signal AI crawlers read

The llms.txt is an indicative, readable representation of the site for AI systems. Unlike robots.txt, it does not control crawler access and does not guarantee indexing or citation; it is also not an official Google signal. Its real utility is structural: it allows language models to find and relate more easily to your most relevant pages, provided the content behind those URLs is high quality.

Configuring it correctly means first reviewing which AI bots you want to allow and which you do not, and pointing in an orderly fashion to the resources you want the machine to prioritise. It is a small file, but it forms part of that technical layer that separates those who improvise from those who work GEO with sound judgement.

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4. Entity authority: making everything say the same thing about you

AI models build an idea of who you are from all the mentions they find. If your name, your activity and your data appear consistently across the web, in your local SEO profile and in every channel where you are present, that entity becomes solid and verifiable. If there are contradictions, the machine hesitates and prefers to cite someone more consistent.

Working on entity authority means aligning the message: same contact details, same description of what you do, same areas of expertise repeated consistently. The clearer it is for the AI what you are and what you are expert in, the easier it is for it to associate you with the questions where you want to appear.

5. Content that demonstrates real expertise

Semantic density beats length. A 1,200-word article that precisely answers a specific question has more chance of being cited than a generic 3,000-word one. What engines value is content that demonstrates real competence: concrete examples, nuances that only someone who knows the subject can provide and answers that do not merely repeat commonplaces.

Writing for AI does not mean writing artificially. It means being clear, specific and honest about what you know. Content that provides genuine value is also what the machine recognises as a reliable source.

Do you want AI to cite your website and not your competitor's?

At Mkt Web 360 we implement GEO from start to finish: content structure, advanced schema, llms.txt and semantic authority built on a solid SEO foundation.

How to measure whether GEO is working

Measuring GEO is different from classic SEO, because there is no single ranking to consult. The first level is manual: ask ChatGPT, Gemini and Perplexity about topics in your sector and observe whether your brand appears and in what terms. It is artisanal, but it gives a quick and free snapshot of your generative visibility.

For systematic monitoring there are tools such as Profound, Otterly.ai or AthenaHQ, which track your brand's presence in generative engines over time. With patience — the timescales are similar to SEO — you will see how consistent work on structure, schema and authority translates into accumulated mentions.

Frequently asked questions about GEO optimisation

What is llms.txt and do I need to have it?
The llms.txt is an indicative, readable representation of the site for AI systems. It is not an official Google signal, does not control crawler access and does not guarantee indexing or citation. Having it well-structured can make it easier for models to find and understand your most relevant pages, but it does not replace a good content strategy.
Does schema markup help AI cite me?
Yes. Structured schema markup (FAQPage, Article, Organization, Service) helps disambiguate entities and makes it easier for AI models to process your content with greater precision. Google does not define schema as a mechanism for accessing AI Overviews, but clean markup contributes to semantic understanding and can facilitate the appearance of rich results.
How many words should an article have to rank in AI?
Length matters less than depth. A 1,200-word article that precisely answers a specific question is more likely to be cited than a generic 3,000-word one. The key is semantic density.
How do I know if ChatGPT is citing me?
You can conduct manual tests by asking ChatGPT, Gemini and Perplexity about your sector. Tools such as Profound, Otterly.ai or AthenaHQ allow you to systematically monitor your brand visibility in generative engines.