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How Keyplay Uses AI
Lauren Hayes avatar
Written by Lauren Hayes
Updated this week



Current Capabilities


Lookalike Model & Similarity Scores

  • Uses AI-powered vector analysis to find accounts with business models similar to your best-fit customers.

  • Scores accounts based on similarity to help you prioritize and build targeted plays around your ICP.

Industry Categories

  • AI-driven industry categorization provides more nuanced and reliable classifications than traditional frameworks like NAICS or self-reported data.

  • Supports primary and secondary categories for precise filtering and segmentation. For example, AI is a sub-category under SaaS & Cloud.

Custom Account Signals

  • Combines Keyplay’s crawled data with AI prompts to generate both qualitative and quantitative signals.

  • These tailored signals refine your ICP model by capturing nuanced traits of your best-fit accounts.

Account Research

  • AI analyzes large amounts of public data to produce detailed company descriptions, including:

    • Business model and operating activities

    • Market positioning

    • History and current status

    • Personality and culture

Data Quality

  • Uses AI to clean, validate, and enrich data for accuracy and consistency.

Future Capabilities

  • AI Agent for Account Research & ICP Models (in Early Access)

    • AI agent that answers questions about accounts and provides structured outputs that can be used in ICP models, segmentation, and account enrichment.

  • Lead Qualification AI Agent

    • Automate lead qualification and scoring, reducing manual effort and enabling faster prioritization of high-fit accounts.

  • Expanded AI Signal Capabilities

    • Extends the variety and depth of AI-driven signals to enhance fit modeling and account prioritization.

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