Multi-Model Analysis
Check what OpenAI, Gemini, NVIDIA and Groq AI models say about your brand
AI Brand Visibility Platform
Check Your Brand's AI Visibility
See what AI models say about your brand. Get your rAsh Score and discover how to improve your visibility in AI recommendations.
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Why rAsh Score?
rAsh Score
Get a 0-100 score measuring your brand's AI visibility and optimization
Competitor Analysis
Compare your AI visibility against competitors
How It Works
Enter your brand name
We query 6 AI models
Get your rAsh Score & insights
What's in the Name? 🔥
Every great tool has a story. Here's ours.
r
👨💻
rAsh = Prashanth
The name comes from the creator — Prashanth Kumar. Hidden in plain sight: prashanth → rAsh. A personal signature baked into every score.
"I wanted the tool to carry a piece of me — so I hid my name in it."
🔥
💀
Ignore AI? Your brand turns to Ash.
Here's the double meaning: Ash is what remains when something burns out. If you're not visible in AI recommendations, your brand is slowly turning to ash — invisible, forgotten, irrelevant.
"Don't let your brand become ash. Check your rAsh Score."
Pronunciation:/ræʃ skɔːr/— sounds like "rash score"😏
Why Your rAsh Score Matters
AI is eating traditional search. If AI doesn't recommend you, you don't exist.
40%
of Gen-Z prefer asking AI over Google for product recommendations
Zero
clicks needed — AI gives the answer directly, no links to visit
1st
brand AI mentions gets the customer. There's no "page 2" in AI
Traditional SEO is for Google. rAsh Score is for the AI era. When someone asks ChatGPT "what's the best [your category]?" — are you in the answer?
Frequently Asked Questions
Why "rAsh" and not something corporate?
Because we believe tools should have personality. rAsh carries a personal touch from its creator (Prashanth → prashanth) and a real warning: in the AI-first era, brands that ignore AI visibility are turning to ash. It's memorable, it's meaningful, and it makes you think twice about ignoring your AI presence.
How is the rAsh Score calculated?
The score is out of 100 and is broken down into four key metrics: Recommendation (40 points), Sentiment (30 points), Prominence (20 points), and Accuracy (10 points). We query 6 AI models (OpenAI, Gemini, NVIDIA, Groq) and aggregate their responses to create a unified visibility metric.
Why might my score vary?
AI models are non-deterministic, meaning they can generate slightly different responses each time they are asked the same question. Additionally, comparing your brand head-to-head against a competitor provides the AI with a different context than a single-brand analysis, which can result in score variations. We use standardized prompting across all our endpoints to minimize this variance as much as possible.