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KIME

Agentic operating system for AI Search that tracks brand visibility across LLMs and executes optimization actions automatically.

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Product Overview

What is KIME?

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KIME is a comprehensive AI search visibility platform designed to help brands measure, analyze, and optimize their presence across major language models including ChatGPT, Perplexity, Google AI Overviews, and more. The platform combines advanced analytics with automated execution capabilities through its Agentic Workforce Execution (AWX) system, enabling marketing teams to identify visibility gaps, benchmark against competitors, and automatically generate optimized content. KIME transforms raw AI search data into actionable insights, showing brands exactly how they appear when users ask AI models about products and services in their category.


Key Features

  • Multi-LLM Visibility Tracking

    Monitor brand mentions, rankings, and sentiment across ChatGPT, Perplexity, Google AI Overviews, and other major AI search platforms from a unified dashboard.

  • Competitor Benchmarking

    Compare your AI visibility directly against competitors with side-by-side analysis of mention rates, recommendation frequency, and visibility scores across all tracked models.

  • Agentic Workforce Execution (AWX)

    Automated execution engine that generates outreach emails, website content, blog posts, and technical optimizations based on identified visibility gaps and AI search best practices.

  • Citation Analytics

    Track which sources and URLs AI models reference when mentioning your brand, revealing the content that shapes positive, negative, or neutral perceptions.

  • KIME MCP Integration

    Connect KIME directly to AI assistants and existing tools via MCP protocol, enabling custom workflows, automated reports, and seamless integration with your current stack.

  • Action-Centered Insights

    Transform raw visibility data into prioritized action queues with step-by-step playbooks, showing exactly what content to create and where your brand is missing from AI answers.


Use Cases

  • Brand Visibility Optimization : Marketing teams track how their brand appears in AI search results and systematically improve visibility scores to capture more recommendations at the moment of purchase intent.
  • Competitive Intelligence : Analyze competitor presence across AI platforms to identify gaps in your strategy and discover opportunities where rivals are winning AI-generated recommendations.
  • GEO Strategy Implementation : Execute Generative Engine Optimization campaigns with automated content creation, technical fixes, and outreach workflows designed specifically for AI search ranking factors.
  • Agency Client Management : Agencies manage multiple client workspaces with unlimited seats, view-only client access for transparent reporting, and pitch mode tools to demonstrate AI visibility opportunities to prospects.
  • AI Perception Analysis : Understand how AI models perceive your brand by analyzing associated keywords, sentiment patterns, and the specific URLs that shape AI-generated responses about your company.

FAQs

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