Q2 2026

AI knows more brands than it mentions.

AI accurately described 96% of the brands we tested, yet 89% of the brands we measured never appeared in AI-generated answers. This report explores that gap and investigates the signals most strongly associated with AI visibility.

Last quarter, we measured whether domain authority correlated with appearance in AI-generated answers. This quarter, we asked a different question:

Is there a relationship between how accurately AI understands a brand and how often it mentions that brand?

To that end, we measured two things across our cohort of brands: how accurately AI systems could describe each brand when asked, and how often AI mentioned those brands in AI-generated answers. Recognition rates were substantially higher than mention rates, which challenged our theory that recognition might influence AI mentions.

So we expanded our analysis to examine organic rankings, third-party web mentions, and other characteristics of a brand's presence on the web. This report presents the findings from that investigation and explains how they build on our Q1 research.

Michael Transon

Founder & CEO, Victorious

Good research doesn't just answer questions. It raises better ones.

Last quarter, we found no meaningful relationship between domain authority and AI visibility. It wasn't the result we expected, but it was exactly the kind of result we hope to uncover.

Unexpected findings move research forward. They challenge our assumptions and point us toward the next hypothesis worth testing. This quarter, that led us to ask whether AI's ability to recognize a brand was related to its likelihood of mentioning that brand. The answer opened several new lines of inquiry.

Good research doesn't just answer questions. It raises better ones. That's the purpose of this quarterly report. Every edition builds on the last, following the evidence wherever it leads as we measure how AI systems discover and recommend brands.

Methodology

How we built this report.

We measured AI recognition and AI mention rates across a cohort of brands, then expanded the analysis to examine the signals most associated with AI mentions.

Cohort

0 Brands across five verticals

Recognition Dataset

0 Brands with evaluable AI responses

AI Platforms Tested

0 For the recognition measurement

Step 01

Measured AI recognition

We asked eight AI platforms to describe every brand in our cohort, then graded each response against the brand's own website: correct, vague, outdated, wrong, or not recognized.

Step 02

Measured AI mentions

We measured how often brands appeared in AI-generated answers to category prompts across five industry verticals, then compared mention rates to Step 1's recognition scores.

Step 03

Expanded the analysis

Recognition and mention rates didn't correlate as expected, so we expanded the analysis to organic rankings, organic traffic, third-party web mentions, and Knowledge Graph presence.

Five Findings

Here's what the data told us.

1. AI accurately recognized most brands. It mentioned far fewer.
2. The strongest signals came from beyond a brand's own website.
3. The sources AI systems rely on differ by industry.
4. AI systems rarely cite the brands they mention.
5. AI systems cite different sources at different stages of the buyer journey.

FINDING 01

AI accurately recognized most brands. It mentioned far fewer.

96% of brands were accurately described when AI was asked directly. 89% of those same brands never appeared in AI-generated category answers.

Recognition

0%
Accurately described by AI when asked directly

Mention Rate

89%
Never appeared in AI-generated category answers

Recognition varied by platform and vertical.

The combined 96% rate masks meaningful differences. Google AI Mode, Gemini, ChatGPT, AI Overviews, and Copilot all exceeded 83% across every vertical. Perplexity and Meta AI showed the widest variation particularly in SaaS and ecommerce, where Perplexity correctly recognized fewer than 55% of brands.

Recognition Rate by Platform & Vertical

Finding 02 · Signals

The strongest signals came from beyond a brand's own website.

No single signal showed a sufficiently strong relationship with AI mentions on its own. Taken together, they describe the same underlying thing: overall brand prominence.

Signal Correlations with AI Mention Rate

What this means

No single signal showed a sufficiently strong relationship with AI mentions on its own. Instead, the strongest relationships came from signals that reflect a brand's broader presence across the web. Third-party mentions, referring domains, authority, and organic visibility appear to capture different facets of that broader web presence. AI mentions aligned more closely with those combined signals than with any individual metric we measured.

Finding 03 · Industry Sources

The sources AI systems rely on differ by industry.

Legal services and health care responses cited a small group of authoritative sources. SaaS responses drew from more than 10,000 unique domains.

Finding 04 · Citation Patterns

AI systems rarely cite the brands they mention.

Of the 49,391 citations we analyzed across 5,830 AI-generated answers, 99.99% pointed to third-party websites rather than the brand's own domain. Only 4 of the brands in our cohort received a citation to their own website.

Finding 05 · Prompt Types

AI systems cite different sources at different stages of the buyer journey.

Problem awareness prompts and category research prompts produced different citation ecosystems and very different rates of brand mentions.