AI Visibility: How to Help AI Tools Understand and Find Your Company

The way people search for suppliers, products and information about companies is changing.

Alongside traditional search engines, buyers increasingly use tools such as ChatGPT, Google Gemini and other AI systems.

A potential customer no longer needs to browse dozens of supplier websites. They can simply ask:

Which European companies manufacture precision CNC parts for German machine manufacturers?

Or:

Who manufactures precision stainless steel and aluminium components based on technical drawings?

If AI does not understand your company or cannot find enough accurate and trustworthy information about it, your business may not be considered when answering questions like these.

This is where AI Visibility becomes important.

SEO and AI Visibility are not the same thing

SEO and AI Visibility are closely related, but they are not exactly the same discipline.

Traditional SEO helps search engines discover, understand and rank individual webpages.

AI Visibility asks an additional question:

Can an AI system understand what a company actually does and when it may be a relevant supplier for a particular request?

Imagine a manufacturing company whose website only says:

“We are a modern manufacturing company with many years of experience, high quality and an individual approach to every customer.”

This tells a buyer — and an AI system — very little about what the company can actually manufacture.

A much more useful description would be:

“We manufacture precision turned and milled parts from steel, stainless steel, aluminium and brass based on technical drawings for manufacturers of machines and industrial equipment across Europe.”

This makes it much clearer:

• what the company manufactures,
• which materials it works with,
• who its customers are,
• what type of work it performs,
• which markets it serves.

First define what AI should know about your company

The first step is not technical.

Ask yourself:

If an AI system had to describe our company in five sentences, what exactly should those sentences say?

For a manufacturing company, relevant information may include:

• manufacturing technologies,
• types of components produced,
• materials processed,
• dimensional capabilities,
• production volumes,
• industries served,
• certifications,
• production capacity,
• target countries,
• typical applications.

A phrase such as “comprehensive engineering production” is usually not specific enough.

AI needs concrete information to understand when a company may be relevant to a particular request.

A generic “Manufacturing” page is often not enough

A common problem on industrial websites is an overly broad information structure.

A company may have one page called “Manufacturing” that combines CNC turning, milling, welding, grinding, assembly, surface treatment and several different industries.

That makes individual capabilities harder to understand for both buyers and AI systems.

It is often better to create dedicated high-quality pages for topics such as:

• CNC turning,
• CNC milling,
• welded structures,
• manufacturing based on technical drawings,
• one-off and serial production,
• components for machine manufacturers.

Do not create dozens of nearly identical SEO pages.

Each page should genuinely explain a specific manufacturing capability.

Publish the information buyers actually use when selecting suppliers

Potential customers are rarely looking for just “a manufacturing company”.

They want to know things such as:

• Which materials can you machine?
• What are the maximum component dimensions?
• What tolerances can you achieve?
• Which machines do you operate?
• Do you manufacture prototypes, small runs or serial production?
• Which certifications do you hold?
• Which countries do you supply?

These are the types of details that help both people and AI understand when a company may be a relevant supplier.

The more precisely you describe your real capabilities, the easier it is to understand your commercial relevance.

Real experience is more valuable than generic marketing content

A generic article about CNC machining can now be produced very quickly.

Information based on real company experience is much more valuable.

Examples include:

• a specific manufacturing project,
• a technically demanding component,
• a customer production problem,
• the materials and technologies used,
• tolerances achieved,
• moving from prototype to serial production.

A useful case study might be:

How we replaced a welded component with a machined version and reduced the number of production operations.

This type of content provides information that may not exist on dozens of other websites.

Your own website is not the only source that matters

The public picture of a company also exists outside its own domain.

For a manufacturing business, relevant external sources may include:

• industry directories,
• supplier platforms,
• professional associations,
• trade fair catalogues,
• customer references,
• partner websites,
• industry media,
• LinkedIn,
• YouTube.

The goal is not to create the largest possible number of mentions.

What matters is:quality, relevance and consistency.

If several credible sources consistently describe a company as a precision CNC machining supplier for machine manufacturers, the public picture becomes clearer. If the company website says one thing while an old directory contains outdated information, the picture becomes less consistent.

Watch out for outdated information

Manufacturing companies regularly change:

• machinery,
• production capacity,
• technologies,
• certifications,
• target markets,
• contact information.

The official website may contain current information while an old industry directory still shows a description from many years ago.

Such inconsistencies can create an unclear public picture.

Regularly review the most important public information about the company and correct outdated sources where possible.

Video can show what text cannot

Video is especially useful for manufacturing companies.

A production hall, CNC machining centre, quality control process or finished component can often be explained more effectively visually than in a long paragraph.

A company might publish videos such as:

• How precision CNC turning works
• Our machine park
• From technical drawing to quality control
• Components we manufacture for machine builders

Video should not be only a corporate promotional film. It can be genuine expert content.

Ideally, important topics can exist in more than one format: as a detailed webpage and as a useful video.

Help AI understand the relationships between information

Individual webpages should not exist in isolation.

For example, a page about CNC turning might naturally link to:

• materials,
• machine park,
• quality control,
• case studies,
• industry applications.

This creates a logical information structure.

Technical elements also matter:

• clear headings,
• breadcrumbs,
• internal links,
• sitemap,
• canonical URLs,
• correct language versions,
• relevant structured data.

Technical optimisation alone does not make an AI system recommend a company.

It helps make the information accessible, structured and easier to interpret.

How to measure AI Visibility

AI Visibility cannot be measured using one universal ranking.

Results may change depending on the AI tool, question wording, language, context, location and time.

Instead, build a set of realistic customer questions.

For example:

Which European companies manufacture CNC turned components for machine manufacturers?

Who manufactures precision stainless steel parts based on technical drawings?

Which companies in Central Europe have available CNC capacity for smaller production runs?

Then test these or similar questions periodically across different AI tools. Track:

• whether your company appears,
• the context in which it appears,
• how the company is described,
• whether the information is accurate,
• which competitors appear more frequently.

Do not focus on one individual answer. Look for the trend over time.

What AI Visibility does not guarantee

There is no way to guarantee that ChatGPT, Gemini or another AI system will always mention or recommend a particular company.

AI systems change and may use different information sources and methods.

AI Visibility is therefore not a way to “hack ChatGPT”.

The goal is to create the clearest, most trustworthy and publicly accessible information picture of the company possible.

This increases the chance that AI systems correctly understand:

• what the company manufactures,
• who it supplies,
• which technologies it uses,
• when it may be a relevant supplier.

How the Intedat AI Visibility Profile can help

Intedat offers AI Visibility Profiles designed to create a clear public source of information about a company, its products, services, technologies, specialisation and target customers.

For a manufacturing company, a profile can clearly structure information such as:

• what the company manufactures,
• which technologies it uses,
• which materials it processes,
• which industries it supplies,
• which markets it serves.

An AI Visibility Profile does not replace a high-quality company website, technical product pages, references or case studies.

It is one element of a broader AI Visibility strategy.

See what such profiles look like in practice: AI Visibility Profiles