Why AI Ignores Your Content and How to Structure It Properly

Search is changing. Users no longer always open Google, browse ten results, and choose one of them. Increasingly, they ask a specific question in ChatGPT, Gemini, AI Mode, Copilot, or another AI system and expect a direct answer.

This also changes the way we need to think about content.

Traditional SEO optimisation remains the foundation, but another task is being added: the information on your website needs to be clear, reliable, and structured enough to participate in AI-generated answers.

Google confirms that traditional SEO practices continue to form the foundation for AI Overviews and AI Mode, and that there is no separate set of mandatory “AI SEO” technical requirements.

How does AI “read” the content of a website?

AI systems do not perceive a page in the same way a person reads it from beginning to end. Different systems use search, indexing, retrieval mechanisms, and language models to identify information related to a specific query.

That means an article can be useful not only as a complete piece, but also through individual sections of it.

For example, for the question:

What is AEO?

the system may look for a passage that directly defines AEO rather than necessarily selecting a page where the term is repeated the most.

Google describes the use of so-called query fan-out in its AI features — a single user query can be expanded into multiple related subtopics and searches in order to build a more complete answer.

This is exactly why content structure is becoming even more important.

Should we put a short answer at the beginning of an article?

In many cases, yes.

A short two- or three-sentence summary at the beginning can immediately make clear:

This does not mean you need to add a “TL;DR” label to every article.

What matters more is that the opening text can stand on its own.

If the article is titled:

After this direct answer, you can add examples, arguments, comparisons, and more detailed explanations.

You can read more about the complete approach on our AI Optimisation page.

Should the first paragraph answer the title directly?

When the title asks a specific question, this is a good practice.

If the H1 is:

The explanation can come after that.

This is useful for people as well. The user gets the answer immediately and can then decide whether they want to go deeper into the details.

Good AI optimisation and good user experience are pursuing the same goal here: less effort required to reach useful information.

What are “answer blocks”?

This is not an official Google or OpenAI standard. It is a practical way to think about text structure.

A meaningful block can follow a simple logic:

Question → direct answer → explanation → evidence or example

For example:

After the direct definition, you can explain how this is achieved, the limitations of the concept, and how it relates to SEO.

This gives the individual passage value even when it is viewed independently from the rest of the article.

Microsoft also notes that clearly structured content such as FAQ sections, comparison tables, and properly marked-up product pages can help AI systems interpret and summarise information.

Do H2 and H3 headings help with AI optimisation?

Yes, but not because there is a magic formula for the number of headings.

A good hierarchy helps clarify the relationship between the different topics on the page.

The heading itself now makes it clear which question the section addresses.

Good structure is useful both for machines and for people, who often scan a page instead of reading every word in sequence.

If you want to understand the relationship between the two approaches in more detail, read our article “AI Optimisation Is the New SEO: Why AEO and GEO Are Essential for Business”.

Should content be written in simpler language because of AI?

No.

This is one of the most misleading interpretations of AI optimisation.

Do not simplify your expertise. Simplify the structure.

There is a major difference between text that is clear and text that is superficial.

The second sentence contains more information while remaining easy to understand.

Google also emphasises the creation of unique and valuable content rather than mass-produced information that adds no additional value.

The goal is not to say less. The goal is to remove unnecessary ambiguity.

Does a website need to use Markdown to be understood by AI?

No.

Markdown is a convenient way to structure text and language models understand it well, but there is no requirement for your website to be provided in Markdown format.

Properly structured HTML already includes semantic elements such as:

Google explicitly states that there are no special additional technical requirements for appearing in AI Overviews and AI Mode beyond the core requirements for Google Search.

Claims such as “AI prefers Markdown” should therefore not be treated as a universal ranking factor.

Do Schema markup and structured data matter?

Yes, when they are used correctly.

Structured data provides additional machine-readable information about the content of a page. Google uses structured data to understand certain types of information more clearly and to make pages eligible for relevant rich results.

However, this does not mean:

We add Schema and automatically appear in ChatGPT.

Structured data does not replace quality content, authority, indexing, or technical optimisation.

It is one part of a larger system.

This is exactly why CompassBG does not view a website as an isolated marketing asset, but as part of a complete digital system in which content, SEO, AI optimisation, technical infrastructure, and external presence work together.

Is well-written content enough to appear in ChatGPT?

No.

The AI system must first have the technical ability to access the information.

OpenAI uses OAI-SearchBot to discover content that may be shown in ChatGPT Search results. According to the official documentation, websites that block OAI-SearchBot will not be shown as sources in ChatGPT Search through that crawler.

With Google, the same fundamental logic applies to Googlebot: the page needs to be accessible, indexable, and eligible to appear in Search before it can participate as a supporting link in AI features.

AI optimisation is therefore not just copywriting.

Why are sources and evidence becoming more important?

Because good content should not only make claims — it should show why those claims deserve to be trusted.

When writing about a competitive topic, add the following whenever possible:

Do not copy existing articles or create dozens of nearly identical pages simply for different keywords.

Google warns that using generative AI to mass-produce pages without genuine value may fall under its policies against scaled content abuse.

AI can assist with content creation. But expertise, original information, and genuine value for the user need to remain the human part of the equation.

Should every article end with key takeaways?

It is not mandatory, but it is often useful.

At the end of a longer article, three to five specific takeaways help users remember the most important points and create another clearly structured information block.

How should you start with AI optimisation for your website?

Do not start with the question:

Then review your content, technical infrastructure, website structure, external brand signals, and the way you answer the real questions your audience asks.

SEO is not disappearing. But the ways people discover information are expanding.