This library collects every AI visibility study published on this site and sorts it by industry. Each entry links to a short write-up of research that measured which brands ChatGPT, Claude, Gemini, Perplexity and Google AI Overviews name and cite when buyers ask a category question. Start with the measurement guides below, then jump to your industry.

How should you read an AI visibility study?

You should read an AI visibility study by separating two numbers that move independently: how often a brand is named in an answer, and how often the engine cites the brand's own site as the source. A brand can be named in nearly every answer and still control none of what the answer says.

The studies below report both where they can. For the definitions and the method, start with these guides:

What does the research show for consumer products?

The consumer research shows that big brands and famous backers do not guarantee AI visibility. Each write-up below covers one category.

What does the research show for finance and fintech?

The finance research shows that being named and being cited often belong to different brands. Four write-ups cover it.

What does the research show for hospitality and food?

The hospitality and food research shows that a small group of brands holds most of the citation share, and that sales and AI visibility can diverge.

What does the research show for regulated categories?

The research on regulated categories shows that AI engines answer questions about a category before the rules around it settle. Five write-ups cover it.

What does the research show for sports and entertainment?

The sports research shows that a handful of athletes can capture most endorsement citations, and that engines sometimes cite deals that have expired. See NFL AI Endorsement Index: What It Taught Me Before Kickoff, and the celebrity findings in Celebrity Brands Don't Win AI Visibility Either.

What does the research show for education and hiring?

The education and hiring research shows that students and job seekers ask an AI engine before they ever visit a school or apply, so the answer decides who they consider.

What does the research show for defense technology?

The defense research shows that newer defense-tech brands can out-cite legacy primes on a fraction of the revenue. The Defense Tech AI Visibility Research Hub holds the findings, and Georgia's Israeli Defense Corridor covers where Israeli defense technology operates in the United States.

What do the source and method studies show?

The source studies show where AI answers come from, which tells you where to publish. Five write-ups cover it.

Where do you go from here?

If you want the practical steps, read the guides to generative engine optimization, answer engine optimization and AI brand monitoring. The overall discipline is explained at AI Communications. If you would rather have your own category measured, 5W runs the AI visibility audit.

Frequently asked questions

What is an AI visibility index?

An AI visibility index ranks brands in one category by how often AI engines name them, and where possible by how often the engines cite the brand's own site, across a fixed set of buyer questions.

Why do the studies report two numbers?

They report appearance and citation separately because the two move independently. A brand can appear in most answers while the engine takes its facts from other sites.

How often is the library updated?

New studies are added as they are published, and each entry keeps the date of its own write-up.