Sill AI

Sill is an AI search analytics and GEO experimentation platform that helps brands understand and improve how AI engines like ChatGPT, Gemini, Perplexity, Google AI Overviews, Claude, and Grok perceive and recommend them. The platform monitors your brand's AI visibility daily across six major platforms, tracking Share of Voice, mention rate, citation share, content score, and off-site presence against 6+ competitors simultaneously. It breaks down results by platform, query, persona, and location so you can see exactly where you're visible and where you're not. From there, Sill analyzes citation sources, sentiment patterns, and competitive positioning to generate prioritized recommendations. Each recommendation includes a target URL, affected queries with current visibility data, impact and effort estimates, and step-by-step instructions your team can act on immediately. When you make content changes, Sill detects them automatically through CMS integrations with WordPress, Shopify, and 7+ other platforms. It then runs a controlled GEO experiment using your pre-change monitoring data as a baseline, applying statistical methods to isolate your changes from background noise. You get per-platform, per-query results with confidence levels your team can trust. The experimentation engine requires no A/B test infrastructure, no split-testing setup, no minimum traffic thresholds, and no minimum page count. You change your content, Sill measures the impact. It works for websites of all sizes. Additional features include GA4 integration for correlating AI visibility with real traffic data, AI Topic Mapping for visualizing how AI engines position your brand on custom perception axes, Query Fan-Out Analysis for understanding how topics expand across persona and location combinations, Brand Watch for detecting factual contradictions and hallucinations in AI responses, and automatic CMS change detection for hands-off experiment creation. Sill supports multi-brand management with per-brand subscriptions, making it suitable for agencies and teams managing multiple brands. Monitoring data, recommendations, and experiment results are scoped per brand with isolated data.