Pricing that scales with your AI footprint

Every score is a weighted composite built from four signals extracted directly from AI answer engines. Recommendation (40%) measures whether your brand is explicitly suggested as a solution. Sentiment (30%) evaluates the tone and framing around your brand. Prominence (20%) captures how early and how often you appear. Accuracy (10%) verifies factual correctness of claims made about you.

This is the strongest weight in the model. We parse every AI response for direct recommendation language — 'you should try', 'best option', 'top pick' — and score your brand on how often it appears in that position versus competitors.

We run a fine-tuned sentiment classifier over every mention of your brand, scoring polarity, intensity, and hedging language. Positive, confident mentions lift your score; neutral or qualified mentions drag it down.

Prominence is about position and frequency. A brand mentioned in the first sentence of an AI answer scores higher than one buried in the fifth paragraph. We track mention order, word count share, and repetition across the response.

Accuracy is a guardrail, not a growth lever. It penalizes AI engines for stating factually incorrect things about your brand (wrong pricing, wrong features, hallucinated products). It's weighted lower because it's binary and rare — but when it triggers, it can cap your score.

Yes. All paid plans are month-to-month with no lock-in. Upgrades apply instantly with prorated billing; downgrades take effect at the next cycle. The $19 Instant Brand Deep-Dive is a one-time purchase with no subscription.

FastMCP is our low-latency Model Context Protocol endpoint. Enterprise customers get 10,000 authenticated calls per month to query rAsh Index data, trigger audits, and stream competitor alerts directly into their own dashboards or agent workflows.