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Autotouch AI
Your personal prospecting assistant

What is Autotouch AI?

Autotouch AI streamlines the sales prospecting process by automating the time-consuming task of researching potential clients. It gathers relevant information about prospects, including custom details specified by the user, to provide a comprehensive understanding before outreach.

Based on this research, the tool generates initial drafts for personalized emails, LinkedIn messages, and connection requests. This allows sales representatives to quickly edit or directly use the suggested outreach, significantly reducing preparation time. Additionally, Autotouch AI features proprietary algorithms to identify lookalike companies and leads based on researched prospects, further expanding potential outreach targets.

Features

  • Automated Prospect Research: Gathers relevant information about potential clients.
  • Automated Outreach Drafting: Creates first drafts of emails, LinkedIn messages, and connection requests.
  • Custom Research Capabilities: Allows users to specify particular details to find about prospects.
  • Lookalike Company & Lead Identification: Finds similar companies and leads using proprietary algorithms.
  • Chrome Extension Access: Integrates with the browser for ease of use during prospecting workflows.

Use Cases

  • Accelerating sales pipeline generation.
  • Automating B2B prospect research.
  • Streamlining LinkedIn outreach creation.
  • Personalizing sales emails at scale.
  • Finding new leads similar to existing prospects.
  • Reducing time spent on manual prospecting tasks.

FAQs

  • How does Autotouch AI compare with AI SDRs?
    Autotouch AI leverages agent capabilities, but its goal is not to replace sales reps with AI. It focuses on augmenting human expertise at the intersection of AI and sales.
  • What is the cancellation policy?
    You can cancel your plan at any time.
  • Can Autotouch AI find email addresses and phone numbers?
    Not yet, but this feature is under consideration for future development based on user feedback.

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