Sill Documentation

Welcome to the Sill documentation. Here you'll find guides on how to use the platform, understand your reports, and take action on recommendations.

What is Sill?

Sill is an AI Visibility platform that measures how AI engines like ChatGPT, Perplexity, and Gemini perceive and recommend your brand using counterfactual simulations.

Sill is an AI Visibility platform that helps brands understand how they appear across AI engines like ChatGPT, Perplexity, Gemini, Google AI Overviews, Copilot, and Grok.

Using counterfactual simulations and Share of Voice analysis, Sill pinpoints the exact decision boundaries where an AI model starts or stops recommending your brand.

Key Capabilities

Sill provides Share of Voice tracking, Decision Boundary discovery, content auditing, off-site presence scanning, and prioritized optimization recommendations.

• Share of Voice Tracking: Measure how often AI mentions your brand vs competitors across models and prompts.
• Decision Boundary Discovery: Find the specific variables (price, features, reputation) that cause an AI to recommend you or not.
• Content Auditing: Evaluate whether your content follows the patterns AI engines favor.
• Off-site Presence Scanning: Check your mentions on platforms AIs trust (YouTube, Reddit, Wikipedia, review sites).
• Actionable Recommendations: Prioritized by impact and effort with specific next steps.

Guides

Step-by-step guides for running AI visibility reports, interpreting results, and taking action on Sill's recommendations.

• Reports: How to run, view, download, and troubleshoot AI visibility reports.
• Understanding Metrics: What every dashboard number means and how to interpret it.
• Watchdog: How Watchdog monitors AI responses for risks, misinformation, and competitive threats.

Coming Soon

Upcoming Sill documentation will cover getting started, understanding reports, counterfactual experimentation, content optimization, and API integration.

We're actively building out this documentation. Upcoming guides will cover:

• Getting Started: Setting up your first brand and running your first simulation.
• Understanding Reports: How to read Share of Voice charts, decision boundary maps, and recommendation breakdowns.
• Experimentation: Running counterfactual experiments to test "what if" scenarios.
• Content Optimization: Using Sill's recommendations to improve AI visibility.
• API Reference: Integrating Sill into your existing workflows.

Need help in the meantime? Reach out to our team at daniel@trysill.com.