See How AI Models Talk About Your Brand

Check frequency depends on your plan. The Lite plan checks prompts weekly, which is suitable for brands just starting to track their AI presence. Growth and Business plans check daily, giving you near real-time visibility into how AI models respond. Enterprise plans offer customizable schedules. Each check queries all your configured AI models with every active prompt.

A visibility score is a number from 0 to 100 that measures how prominently an AI model features your brand in its response to a given prompt. The score is calculated by analyzing multiple factors: whether your brand is mentioned at all, where it appears in the response (first recommendation vs. last in a list), whether the mention is a direct recommendation or just a passing reference, the sentiment of the description, and whether the model provides your brand as the primary answer or as one of many alternatives. A score of 0 means no mention, while 100 means a strong, positive, first-position recommendation.

Yes. Every prompt check automatically analyzes the AI response for mentions of your configured competitors. You see your visibility score alongside each competitor's score for the same prompt, making it easy to identify where you are winning and where competitors have an advantage. The number of competitor slots depends on your plan, ranging from 2 on Lite to unlimited on Enterprise.

The most valuable prompts to monitor are the questions your potential customers actually ask AI models. These typically fall into three categories: direct comparison prompts ("What is the best X?"), category exploration prompts ("How do I solve Y?"), and brand-specific prompts ("Tell me about [your brand]"). Our built-in prompt suggestion tool analyzes your industry and recommends high-impact prompts to get you started.

Your first visibility data appears within minutes of creating your monitoring prompts. Rutt immediately runs an initial check across all configured models and scores the responses. From that point forward, checks run automatically on your plan's schedule. Historical trend data builds naturally over time, with most customers finding the trend charts most valuable after two to four weeks of data collection.

No. AI models are non-deterministic, meaning the same prompt can produce different responses on different days. This is exactly why ongoing monitoring matters. A single check gives you a snapshot, but regular monitoring reveals patterns: whether your brand is consistently recommended, occasionally mentioned, or only appears in certain contexts. Rutt tracks every response over time so you can distinguish real trends from one-off variations.