AI visibility: how your business gets into answers from ChatGPT and Google

Woman looking something up on her phone on the sofa by the window

AI visibility is the extent to which AI assistants such as ChatGPT, Perplexity, Gemini and the AI answers in Google know, understand and mention your business. That is becoming more important, because more and more people no longer put their question to a search engine with ten blue links, but to an assistant that gives one answer. Whoever is in that answer gets considered. Whoever is not, does not exist for that question. In this article we explain how AI systems choose sources and what you can do to your website to be that source.

What exactly is AI visibility?

AI visibility is the likelihood that a language model uses your business or your content when answering a question. Sometimes with a link as a source, sometimes as a name mentioned in a list, sometimes as the information the answer relies on without you being mentioned.

You also come across the term as AEO (answer engine optimisation) or GEO (generative engine optimisation). The names differ, the goal is the same: making sure systems that generate answers find, trust and correctly represent your information.

How does AI visibility differ from SEO?

AI visibility builds on SEO, but the reward is different. In classic SEO you compete for a position in a list and the page with the best combination of relevance and authority wins a click. In AI answers, information from multiple sources is summarised. The question is then not only whether you are found, but whether your content is usable as a building block for an answer.

Much of the foundation stays the same. A fast, technically healthy site, a logical structure and content that answers real questions help for both. The difference is in the details: how you phrase answers, how explicit you are about who you are and what you do, and whether other sources on the internet say the same about you.

How do AI systems choose their sources?

AI systems choose sources based on relevance, clarity and reliability, and they combine what they learned during training with what they look up at the moment itself. Those two routes each ask something different of you.

Knowledge from training

During its training, a language model has read a large part of the public internet. What was said about you often and consistently there is in the model. If your business is described in the same way in many places, in industry overviews, trade articles, reviews and mentions, the chance is greater that the model knows you and describes you correctly.

Live search

More and more assistants search the web while answering. They send a search query, retrieve a handful of pages and summarise them. Your ordinary search visibility counts here, but so does how easy a page is to read for a system that is quickly looking for the core. A page that answers the question in the first sentence beats a page that spends three paragraphs warming up.

What makes content easy for AI to use?

Content is easy for AI to use if each part answers a question on its own, is clearly structured and contains concrete, verifiable information. A few principles we apply in practice:

Headings as questions. Phrase subheadings the way your target audience asks the question, and start the section directly with the answer.
Self-contained paragraphs. A paragraph must also make sense when read on its own. References such as "as mentioned above" work poorly if a system only retrieves that piece.
Concrete over general. Name the sector, the type of organisation, the situation. "For manufacturers with a dealer network" says more than "for businesses".
Consistent terminology. Use the same name for the same service everywhere, so it is clear to a model that it is one thing.
Frequently asked questions separately. A well-structured FAQ with complete answers is one of the most cited forms of content.

What technical foundation does AI visibility need?

AI visibility needs a website that allows crawlers, loads quickly and offers its content in the HTML itself. It sounds obvious, but this is often where it goes wrong.

Access for AI crawlers. Check in your robots.txt that you are not accidentally blocking crawlers from AI services. That is a deliberate choice, not a default setting.
Content without JavaScript dependency. Many AI crawlers do not run JavaScript. Text that only appears after scripts have loaded is invisible to them.
Structured data. With schema markup you state explicitly who you are, what you offer and which questions a page answers.
Speed. Systems that search live have little patience. A slow page is more likely to be skipped.

A site in Webflow has an advantage here: the HTML is delivered server-side, clean code is the standard and schema markup can be set per page and per CMS item.

Why do mentions outside your website count?

Mentions outside your website count because AI systems look for confirmation from multiple independent sources. A business that only talks about itself on its own site is less convincing than a business that is also mentioned elsewhere.

Think of mentions in partner and supplier overviews, trade publications, industry associations, review platforms and profiles in places where your target audience searches. It is important that the description everywhere matches your own site. Conflicting information about your services or location makes you less reliable as a source.

How do you measure AI visibility?

You measure AI visibility by systematically asking the questions your target audience asks, and tracking whether and how you are mentioned. A fixed set of dozens of questions, put periodically to the main assistants, gives a baseline and then shows whether you are making progress.

Pay attention to three things: whether you are mentioned, whether the description is correct and which sources the answer uses. Those sources tell you where you need to be visible. In addition, you increasingly see traffic coming in via AI assistants in your analytics, although that is only part of the effect. Many people read the answer and come in later via a different route.

Where do you start with AI visibility?

Start with a baseline measurement and the pages that describe your most important services. Make those pages explicit: what you do, for whom, where, and which questions you answer. Then check the technical foundation and expand your content with articles that answer real questions from your target audience.

We help organisations with an analysis of how AI systems see them now and a plan to improve that. Read more about our approach to AI visibility or get in touch.