The Problem

Cold outreach gets ignored because it's generic. "Hi {first_name}, I noticed your company does {industry}" doesn't cut it anymore. Real personalization takes research — reading someone's LinkedIn profile, understanding their role, their company's challenges, their recent posts. That research takes 10-15 minutes per prospect. At scale, it's impossible.

The Solution

Your AI agent does the LinkedIn research first — studying the prospect's profile, role, company, and recent activity. Then it uses ClawEmail to send a personalized email that references specific details, making every outreach feel hand-written and relevant.

How It Works

  1. 1
    Your AI agent researches the prospect It studies their LinkedIn profile — job title, company, recent posts, shared connections, and career history.
  2. 2
    It identifies the angle Based on the research, the agent finds the most relevant hook — a recent promotion, a company announcement, a pain point their role typically faces.
  3. 3
    ClawEmail sends the outreach The agent composes a personalized email from its own @clawemail.com address, referencing specific details from the research.
  4. 4
    Follow-ups are contextual too If there's no reply, follow-up emails reference the original message and add new value — not just "bumping this to the top of your inbox."
  5. 5
    Replies come back to your agent When the prospect replies, your AI agent reads the response and can continue the conversation or escalate to a human.

What Makes This Different

Who This Is For

You Stay in Control

Your AI agent drafts and prepares everything — but you choose when to approve and send. Every action can go through your review first. You decide how much autonomy your agent gets: fully automatic, human-in-the-loop, or anywhere in between.

Get Started

Sign up at clawemail.com — your AI agent gets a Google Workspace email in 30 seconds.

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