State of Enterprise Brands in AI: a benchmark of how the world’s largest brands are performing in AI

In enterprise marketing, every dominant discovery channel rewrites the rules of brand-building. Shelf space did it for CPG. Television did it for automotive. Search did it for e-commerce. AI is doing it for every vertical at once.

When customers ask AI about a brand, it's the AI's answer — not the brand's website, advertising, or sales team — that shapes what they believe. That answer decides which brands enter the conversation, how they're described, and which sources AI trusts to tell the story.

To understand where Fortune 500 brands stand today, Bluefish Research measured how 194 of the world's largest enterprises appear in AI across five categories and nine verticals. The result is State of Enterprise Brands in AI — a clear benchmark of who is winning and the specific moves driving performance at the audience, topic, and source layer.

Three findings sit at the center of the report.

1. Brands with well-established topic authority are preferred by AI models

Appearing in an AI answer is not the same as being described well, and the gap between them is wider than most teams assume. The report shows how the brand AI mentions most in a vertical is rarely the one it describes best, why high visibility can work against a brand on certain topics, and what the best-described brands consistently do to earn their standing.

2. LLMs highlight different brands depending on the audience

AI is highly personalized, responding to user context and intent when responding to queries. This means AI can present the same brand very differently depending on who is asking — sometimes surfacing it for one audience but not appearing for another. Learn why a single category-level score hides this nuance, and how measuring at the audience level reveals true brand performance within AI.

3. AI citations provide key insights into how to best optimize for AI performance

AI does not weigh all sources equally, and the mix shifts sharply from one vertical to the next. The report shows how AI prioritizes source composition in any vertical, making clear whether performance is won through owned content, third-party placement, or a combination of the two, and where to direct investment to improve performance.

From reporting to strategy

Together, these findings point to a broader shift. Tracking how AI represents a brand has moved from a reporting exercise to a strategic discipline — what Bluefish defines as agentic marketing. The brands leading their categories treat AI as a medium to compete in, and they organize around three moves:

• Measure at the audience, product, and topic level.

• Optimize the specific sources AI cites.

• Operate as one cross-functional team rather than separate owned, earned, and paid functions.

See where your brand stands

The State of Enterprise Brands in AI report lays out the full leaderboard across nine verticals, the analysis behind every ranking, and a practical framework for improving how AI represents a brand. It is built for enterprise marketing leaders who are defining the next generation of discovery.

Download the full report.