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What is Alli AI?

Alli AI redefines multi-site SEO by giving businesses the ability to push bulk optimizations across entire portfolios with just one rule. Instead of manually editing thousands of title tags, schema blocks, and metadata fields, teams can apply automated logic that deploys instantly across 100+ websites. The platform directly addresses the problem of AI crawler blindness—a major issue for JavaScript-rendered sites—by using server-side rendering to deliver fully rendered HTML to ChatGPT, Perplexity, Claude, and more than 50 AI search engines. Real-time activity tracking shows which AI platforms access your content and how frequently they crawl your pages. By integrating AI-ready schema, unified metadata, and intelligent content structure, Alli AI helps websites surface more often in AI answers and semantic retrieval systems. Its browser-based editor lets users modify elements visually without touching code or requiring backend access. AI-powered content generation automates meta descriptions, schema markup, and data structures tailored for both traditional and AI search. Complete rollback support, deployment history, and multi-site auditability ensure safe operations for agencies managing large portfolios. Unified analytics merge Google rankings with AI citation tracking for a complete view of cross-platform search performance. In a world where search behavior is splitting across Google and AI assistants, Alli AI provides the infrastructure teams need to stay fully visible everywhere.

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.