Pillar H · AI Visibility by Industry

AI Visibility by Industry: How AI Picks Brands in Your Category

The signals that get a brand cited by ChatGPT, Gemini and Grok are not the same in every market. These guides break down, industry by industry, the queries that matter and the signals that win them.

Updated May 2026Pillar guide
MentionRadar TeamWe run a continuously refreshed query–domain index of what ChatGPT, Gemini and Grok cite — across thousands of buyer questions and industries.
The short answer

AI visibility by industry is the recognition that AI assistants do not pick brands the same way in every market. The buyer questions a category faces, the sources the models trust to answer them, and the signals that earn a citation all shift between, say, B2B SaaS and a local medical practice. A SaaS buyer asks a chatbot for the “best tool for X” and the model leans on review sites and comparison content; a patient asks about a condition and the model leans hard on credentials and trustworthy health sources. These guides break each industry down the same way: the kinds of queries that matter in that category, the signals that most influence whether a model names you, and how to find which of those queries the AIs already cite your domain on using reverse AI search.

Why AI brand-picking differs by industry

Every guide in the rest of the resource hub answers the general question: how do large language models choose which sources to cite, and how do you find what they already cite you on. This pillar narrows that lens to a single industry at a time, because the answer genuinely changes from one category to the next.

Three things vary. First, the queries: a fintech buyer and a hotel guest ask AI assistants completely different questions, with different intent and different stakes. Second, the trusted sources: the kinds of pages a model reaches for to answer a software comparison are not the kinds it reaches for to answer a medical or financial question, where how LLMs choose which sources to cite skews heavily toward authority and provenance. Third, the signals that win the slot: structured product data matters for ecommerce in a way it never will for a consultancy; credentials and E-E-A-T dominate in healthcare; local proof dominates in real estate.

What each industry guide covers

Every guide in this pillar is built the same way so they are easy to compare:

  • How AI picks brands in the category — the buyer behaviour and source mix specific to that industry.
  • The queries that matter — clearly-labelled, illustrative example questions, framed as examples rather than measured data.
  • Signals that matter most — a table mapping each signal to why it matters in that industry and how to improve it.
  • The reverse-search hook — how to find which of those queries the AIs already cite your specific domain on, instead of guessing.

The full AI Visibility by Industry cluster

Every guide in this pillar:

Where to start

Read the guide for your industry to understand the signals, then stop guessing about your own brand. The free Domain Check runs reverse AI search on your domain and returns the real query list — the questions ChatGPT, Gemini and Grok already cite you on, with the competitors named alongside you — rather than a single score.