Every sector is asked differently

The short answer for each sector

What makes a trades business visible in AI answers?

AI systems name a trades business when its website states three things in plain text: which services it performs, in which area it works, and what qualifies it to do so. The wording matters – "heat pump" and "wall box" rather than "energy solutions" – and each service needs its own section instead of a bullet list. Photos, slogans and a phone number are not enough: a language model cannot infer from them whether the business fits a specific question.

Why do AI systems mention agencies so rarely?

Agencies tend to describe their work in terms only other agencies use, and present projects as image galleries without descriptive text. That leaves a language model with no way to tell what the agency actually did, for what kind of client, and to what effect. The agencies that do get named state their services in the client's language, position their size and way of working, and publish professional writing with a recognisable point of view.

Why does an AI-assisted buyer find our competitor and not us?

Because the competitor's technical data sits as text on the page, while at most industrial companies it sits inside a PDF. A language model reads processes, materials, tolerances, batch sizes and certifications only when they appear as running text or a table in the page itself. It also needs the link between process and application: not just "five-axis milling", but what it is used for and in which dimensions.

Why do AI systems cite portals rather than practices for health questions?

Because portals expose the range of treatments, consultation hours, access and location in a machine-readable form, while on many practice websites the same information sits in an image or a graphic. A language model cannot read an image, so it falls back on the portal entry – even when that entry is out of date. Putting treatments, hours, accessibility and catchment area on your own page as text puts you back in control of what is said about you.

What sets a retailer apart from a platform in AI answers?

Platforms win every product question because they expose range and availability in machine-readable form. A retailer gets named alongside them when the text states what the platform does not offer: advice, fitting, installation, local returns, deep knowledge of a narrow range. A bare product list without that difference reads to a language model as a weaker copy of the platform.

How does a restaurant get into the answer to "Where should I eat tonight?"

A restaurant gets named when its menu, opening hours and booking route exist as text on its own website – not as a PDF and not as an image. On top of that, the occasion it suits has to be stated: business lunch, family celebration, quick midday meal. Without this, portals answer the question, and the answer cites their listings instead of the restaurant.

What does an AI system base a logistics recommendation on?

On what is verifiable on the page: the lanes and countries served, the type and number of vehicles, warehouse space, temperature ranges, dangerous goods and customs handling, and the permits spelled out in words. Certification logos without text, and sentences like "your reliable partner for transport of all kinds", give a language model nothing to tell you apart by. The providers that get named write out their capability profile in figures and proper names.

How does a service firm become tangible to an AI system?

By answering the three questions that services usually leave open: who the service is for, how the engagement actually runs, and how the client can tell it worked. A service with no stated audience fits no question properly as far as a language model is concerned. Firms that describe their approach step by step and hold a professional position get named even in questions that never mention their name.