AI Visibility Study 2026: We scored 70+ brands. The results are surprising.
We queried ChatGPT, Claude, Perplexity, Gemini, and Grok about 70+ major brands. Shopify outscores Amazon. Docker beats Microsoft. Here's the full dataset.
By Queraid Research
The question
When someone asks ChatGPT “what’s the best tool for X?”, which brands get recommended?
We decided to measure it. We queried 5 major AI models — ChatGPT, Claude, Perplexity, Gemini, and Grok — with 6 industry-specific prompts for each of 70+ brands. That’s over 2,000 individual AI responses analyzed.
Here’s what we found.
The headline numbers
- 70+ brands scored across 50+ industries
- Average score: 83.5/100 (but the range tells the real story)
- Highest: Shopify (96) — AI loves recommending it
- Lowest among major brands: Meta (69) — despite being one of the largest tech companies in the world
The surprising findings
1. Brand size doesn’t predict AI visibility
You’d expect the world’s biggest companies to dominate AI recommendations. They don’t.
| Brand | Market Cap | AI Visibility Score |
|---|---|---|
| Shopify | $135B | 96 |
| Amazon | $2T+ | 73 |
| Docker | — | 94 |
| Microsoft | $3T+ | 79 |
| Stripe | $65B | 94 |
| Coca-Cola | $270B | 78 |
Amazon is worth 15x more than Shopify, but Shopify scores 23 points higher in AI visibility. Docker isn’t even publicly traded, yet it outscores Microsoft by 15 points.
The takeaway: AI models don’t recommend based on market cap. They recommend based on authority, documentation, and presence in training data.
2. Developer-focused brands dominate
The top 10 is overwhelmingly developer and SaaS tools:
| Rank | Brand | Score | Industry |
|---|---|---|---|
| 1 | Shopify | 96 | E-commerce |
| 2 | Docker | 94 | Containerization |
| 3 | Stripe | 94 | Payments |
| 4 | Miro | 93 | Whiteboarding |
| 5 | Figma | 92 | Design |
| 6 | Wix | 92 | Website Builder |
| 7 | Spotify | 92 | Streaming |
| 8 | GitLab | 91 | DevOps |
| 9 | HubSpot | 91 | Marketing |
| 10 | Nike | 91 | Apparel |
These brands share a common trait: excellent documentation, active developer communities, and extensive presence on comparison sites and review platforms.
Nike is the only traditional consumer brand in the top 10 — and it’s likely there because of its enormous cultural footprint, not technical documentation.
3. Traditional giants struggle
Some of the world’s most recognizable brands score modestly:
| Brand | Score | What you’d expect |
|---|---|---|
| Amazon | 73 | Much higher — it’s the everything store |
| Adobe | 73 | Surprising — dominates creative software |
| Meta | 69 | Lowest major tech company |
| Walmart | 76 | Invisible compared to Shopify (96) |
| Coca-Cola | 78 | Cultural icon, modest AI presence |
| Sony | 78 | Same score as Cloudflare |
Why? These companies have massive brand recognition but relatively thin presence in the types of content that LLMs weight heavily: technical documentation, comparison articles, developer forums, and authoritative review sites.
4. Niche tools punch above their weight
Some smaller, niche-focused tools score remarkably well:
| Brand | Score | What they do |
|---|---|---|
| Cal.com | 90 | Open-source scheduling |
| Supabase | 89 | Firebase alternative |
| Datadog | 90 | Cloud monitoring |
| Resend | 83 | Email API |
| Turso | 77 | Edge database |
Cal.com (an open-source scheduling tool) scores the same as Uber. Supabase outscores Samsung. Open-source projects with strong documentation have a natural advantage in AI visibility.
5. AI models disagree more than you’d think
Our consistency score measures how much AI models agree with each other about a brand. Some brands are universally recommended. Others get wildly different treatment depending on which AI you ask.
This means your AI visibility strategy can’t focus on just one model — you need to be visible across all of them.
What drives high AI visibility?
Based on analyzing 2,000+ AI responses, the brands with the highest scores tend to have:
- Comprehensive documentation — detailed product pages, FAQs, and guides
- Presence on review sites — G2, Capterra, Trustpilot, etc.
- Wikipedia and Crunchbase profiles — authoritative, third-party sources
- Active community content — Reddit threads, Stack Overflow answers, blog posts
- Comparison pages — “[Brand] vs [Competitor]” content that AI models reference
What doesn’t seem to matter as much:
- Advertising spend
- Social media following
- Google search ranking (the correlation is weaker than expected)
Methodology
Every brand was scored using the Queraid Score methodology:
- 5 LLMs queried: ChatGPT, Claude, Perplexity, Gemini, Grok
- 6 industry-specific prompts per LLM (identity, recommendation, comparison, reputation, use case, best-in-class)
- Score formula: Mention Rate (40%) + Sentiment (30%) + Competitor Parity (20%) + Cross-Model Consistency (10%)
- Scale: 0-100, where 60+ = Good, 30-59 = Needs Work, <30 = Critical
The methodology is fully open and reproducible.
Check your brand
Every brand in this study was scored using the same free tool available to everyone.
Check your AI Visibility Score — free, unlimited, no signup required. Results in 15 seconds.
If your brand isn’t being recommended by AI, you’re invisible to the next generation of buyers. The first step is measuring where you stand.
This study was conducted on May 25, 2026, using the Queraid Score v1 methodology. Scores reflect AI model outputs at the time of measurement and may change as models are updated. The full dataset is available via the Queraid API.