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What is Sill?

Sill is the intelligence platform for AI brand visibility. Your buyers ask AI before they ask Google, and AI only cites 2–4 brands per response. Sill tracks whether yours is one of them, detects what's going wrong, tells you what to fix, and proves whether your changes worked. Four integrated modules: Pulse — Daily visibility monitoring across ChatGPT, Gemini, Perplexity, Claude, Grok, and Google AI Overviews. Tracks Share of Voice, mention rate, citation share, content score, and sentiment. Queries classified into Defend/Grow/Aspire tiers. Competitive benchmarking against up to 6 brands. Vanguard — Citation and sentiment intelligence. Identifies which sources AI trusts, how sentiment differs by platform, and where competitors get cited and you don't. Watchdog detects hallucinations, fabricated features, wrong pricing, outdated info, before customers see them. Query fan-out analysis reveals hidden sub-queries AI runs behind the scenes. Compass — Prioritized content recommendations ranked by predicted impact. Each includes target URL, affected queries, effort estimate, and step-by-step instructions. Integrates with WordPress, Shopify, Webflow, HubSpot, Ghost, and more. Lab — Controlled experiments that establish causality. CMS webhooks detect changes automatically. Measures SOV shift per platform, per query, with statistical confidence. No A/B test setup, no minimum traffic. The only rigorous way to prove GEO changes worked. Also includes GA4 traffic attribution, PDF reports, multi-brand support for agencies, and AI topic mapping. Built for SEO/AEO teams, content teams, leadership proving ROI, and agencies scaling across clients. Free tier with 2-week trial. Paid from $90/mo.

What is SentimentStack?

SentimentStack is an advanced AI visibility platform built to help brands understand, track, and improve how they appear across modern AI-driven search and assistant platforms. It continuously monitors brand presence across systems such as ChatGPT, Claude, Gemini, Perplexity, and Google, providing a unified view of visibility across multiple channels. The platform offers detailed analytics, including visibility scores, average rankings, prompt tracking, and competitor benchmarks, all presented in an intuitive dashboard. Users can analyze how AI engines respond to real-world queries and determine whether their brand is being recommended or overlooked. SentimentStack enables teams to run controlled experiments, allowing them to test specific changes, compare results against control groups, and measure true impact on visibility. Its knowledge context engine builds a dynamic and evolving representation of a brand, incorporating products, customer personas, competitors, and messaging guidelines. This ensures that all insights, recommendations, and analyses are grounded in accurate brand context. The platform also provides tools for citation tracking, helping users identify which sources AI engines rely on and where gaps exist. Content auditing features offer actionable recommendations to improve alignment with AI-driven search behavior. Automated alerts notify users of any drops in visibility, ranking changes, or competitor advancements. SentimentStack supports SERP tracking alongside AI monitoring, giving a complete picture of both traditional and AI-based search performance. Its reporting tools allow teams to track long-term trends and share insights across stakeholders. By combining experimentation, analytics, and automation, the platform enables continuous optimization of brand visibility. Ultimately, SentimentStack helps organizations stay ahead in a digital environment where AI-generated answers are becoming the primary source of information discovery.