The Experiment
We used GEOmind to scan 85 popular direct-to-consumer brands and measure how "AI-ready" their websites are.
The question: If someone asks ChatGPT, Claude, or Gemini "What's the best [product]?", will these brands show up in the answer?
The results were... eye-opening.
The Numbers
| Metric | Value |
|---|---|
| Brands scanned | 85 |
| Average GEO Score | 56.8/100 |
| Scored below 50 | 13 (15%) |
| Scored 50-70 | 61 (71%) |
| Scored 70-90 | 11 (12%) |
| Scored 90+ | 0 (0%) |
| Has llms.txt | 17 (20%) |
| Has structured schema | 55 (64%) |
Not a single brand scored above 90. The average score was just 56.8 out of 100.
The Top 10
| Rank | Brand | GEO Score |
|---|---|---|
| 1 | drinkag1.com | 80/100 |
| 2 | keychron.com | 76/100 |
| 3 | casper.com | 75/100 |
| 4 | wildone.com | 72/100 |
| 5 | lttstore.com | 72/100 |
| 6 | misen.com | 72/100 |
| 7 | heydayfootwear.com | 72/100 |
| 8 | goodamerican.com | 71/100 |
| 9 | barkshop.com | 71/100 |
| 10 | deathwishcoffee.com | 70/100 |
The Bottom 10
| Rank | Brand | GEO Score |
|---|---|---|
| 1 | ghia.co | 8/100 |
| 2 | sanzo.co | 8/100 |
| 3 | noderental.in | 16/100 |
| 4 | gymshark.com | 18/100 |
| 5 | supreme.com | 19/100 |
| 6 | omsom.com | 24/100 |
| 7 | ourplace.com | 24/100 |
| 8 | princess-polly.com | 25/100 |
| 9 | secretlab.co | 32/100 |
| 10 | peakdesign.com | 35/100 |
What Does This Mean?
72% of brands scored between 50-70. That's a "C" grade — technically present online, but essentially invisible to AI assistants.
Here's the thing: when someone asks an AI "What's the best organic snack brand?" or "Which skincare brand is best for sensitive skin?", the AI pulls from structured, well-organized, authoritative content.
Most ecommerce sites are optimized for Google's traditional search algorithm, not for AI citation. They're missing:
1. llms.txt File
Only 20% of brands had a llms.txt file — a simple text file that helps AI models understand what your site is about. It takes 5 minutes to create and dramatically improves AI discoverability.
2. Structured Data / Schema Markup
65% had some schema markup, but most was basic product schema. Very few had FAQ schema, HowTo schema, or comprehensive organization schema that AI models love.
3. Question-Style Content
AI assistants answer questions. If your content doesn't frame information as answers to questions, you're invisible. "Our moisturizer is great" vs "What's the best moisturizer for dry skin? [Brand] moisturizer is formulated specifically for..."
4. Definitive Language
AI models cite sources that make clear, authoritative statements. Hedging language ("we think", "maybe", "could be") gets ignored. Definitive language ("is the best for", "research shows", "specifically designed to") gets cited.
The Opportunity
Here's the $1.5 billion insight: AI search is eating traditional search.
- ChatGPT has 300M+ weekly active users
- 40% of Gen Z prefers AI search over Google
- Gartner predicts 25% of all searches will be AI-powered by 2026
Yet zero of the 85 brands we scanned are truly optimized for it.
This is the SEO gap of 2026. The brands that close it first will dominate AI recommendations for their category.
How to Check Your Score
We built GEOmind specifically for this. It scans your website and gives you:
- GEO Score (0-100) measuring AI readiness
- Specific issues with priority fixes
- Auto-generated llms.txt file
- Structured data recommendations
- Competitor benchmarking
The scan is free. No signup required.
👉 Scan your website now at geomind.app
This analysis was performed using GEOmind's GEO Scorer engine, which evaluates content structure, entity density, language quality, technical SEO, and AI discoverability factors across 25+ signals.
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