The AI Visibility Index: Who Wins When AI Recommends Brands?

AI plays favorites

When you ask ChatGPT, Claude, or Gemini to recommend a product in any category, the same names come up again and again. This isn’t random — it reflects which brands have built strong presence in the data these AI models rely on.

We built the Queraid AI Visibility Index to track this systematically. Here’s what we’re seeing.

How the index works

The Queraid AI Visibility Index ranks brands within their industry based on the Queraid Score — a 0-100 measurement of how visible a brand is across 5 major AI models (ChatGPT, Claude, Gemini, Perplexity, and Grok).

Each brand is scored on:

• Mention rate (40 points) — How often AI models mention the brand
• Sentiment (30 points) — How positively the brand is discussed
• Competitive parity (20 points) — Brand’s share of mentions vs competitors
• Consistency (10 points) — Whether all AI models agree

Early patterns

While our dataset is still growing, several clear patterns have emerged:

1. Category leaders have massive AI visibility advantages

In most industries, the top 2-3 brands have Queraid Scores above 70, while everyone else clusters below 40. AI recommendations follow a power law — a small number of brands capture the majority of AI “mindshare.”

2. Developer-facing brands outperform

Brands with strong developer ecosystems (documentation, open-source projects, API references) consistently score higher. This makes sense — AI training data is heavily weighted toward technical content.

3. Established brands outperform newer ones

AI models are trained on historical data. Brands that have been consistently mentioned in industry content for years have a significant advantage over startups that launched recently. This creates a “cold start” problem for new brands.

4. Content-rich brands win

Brands that publish extensive educational content — blog posts, tutorials, research reports, case studies — tend to have higher AI visibility than those that rely primarily on product pages and ads.

What this means for your brand

The AI Visibility Index isn’t just a leaderboard. It’s a diagnostic tool:

1. Find your position — Where does your brand rank in your industry?
2. Identify gaps — Which AI models mention competitors but not you?
3. Track progress — Are your content investments improving your AI visibility?

Explore the index

The Queraid AI Visibility Index is free and open. Browse industries, see which brands lead, and check where you stand.

View the AI Visibility Index | Check your score

We’re adding new brands and industries daily. If your industry isn’t represented yet, run a score check — every audit contributes to the dataset.

Methodology note

All scores in the index are computed using the same standardized methodology: 5 LLMs, 6 prompts per LLM, 30 data points per brand. Scores are refreshed when brands are re-audited. The methodology is fully documented and open for scrutiny.

We believe transparency is essential for any measurement standard. That’s why the Queraid Score methodology is public — only the dataset is proprietary.