LinkedIn prospecting, researched in your own browser

Works withChatGPT

Connect ChatGPT, Claude, or Grok to Actionbook. Your AI researches each prospect in your own browser and drafts a connection note you review before anything is sent. Not a cloud bot.

Works with
ChatGPTClaudeGrokPerplexity

How AI prospecting works with Actionbook

Actionbook connects the AI you already use, ChatGPT, Claude, or Grok, to your browser. From there your AI takes four steps, with a review gate before anything sends.

  1. 1

    Connect your AI to Actionbook

    Link ChatGPT, Claude, or Grok in a couple of clicks. No separate dashboard to learn and no cloud bot. Your AI gains the ability to drive your real browser.

  2. 2

    Your AI researches each prospect in your browser

    Point it at a LinkedIn search or a single profile. Actionbook opens each prospect in your logged-in session, and your AI reads their role, recent posts, and mutual context.

  3. 3

    It drafts a connection note you review

    For every prospect it writes a tailored note grounded in what it just read. Each draft waits for you to approve, edit, or skip.

  4. 4

    You send from your own account

    Approve and the note goes out through your real browser and identity. You stay in control of volume and timing.

Research every prospect before you reach out

Your AI opens each prospect in your own LinkedIn session, reads their headline and recent posts, and notes the mutual context worth referencing. The note it drafts is grounded in what it actually read, not a template.

  • Reads the live profile: Role, tenure, and the last few posts, pulled from the profile open in your browser.
  • Finds the hook: Surfaces a recent post or mutual connection so each opener has a real reason to exist.
  • Drafts in your voice: A short, specific note per prospect, ready for you to approve or edit.

Nothing leaves your browser without your review

Every connection note your AI drafts surfaces for approval first. See the exact recipient and message, then approve, edit, or skip, one at a time or as a batch. This is the difference between a hand on the brake and a bot on autopilot.

  • Preview the exact send: The recipient and the message your AI wants to send, before it sends.
  • Approve in one pass: Queue 20 notes and clear them in a single review, or edit individuals inline.
  • Override anytime: Edit, skip, or cancel any draft. It only leaves your browser when you say so.

A browser-native alternative to cloud outreach bots

Same outcome (more of the right people in your network), without renting a cloud bot or handing over your LinkedIn login.

Cloud automation bots
Your browser + your AI
Runs on the vendor’s servers and shared IP pools.
Runs in the LinkedIn session already open in your Chrome.
Sends connection requests on autopilot.
Drafts every note and holds it for your approval.
One rented tool applies the same templates to everyone.
Your AI drafts from each prospect’s live profile context.
Bot fingerprints are what LinkedIn flags and restricts.
Human-pace activity inside your own session.
Locked to one vendor’s automation.
Bring ChatGPT, Claude, or Grok, whichever you prefer.

Built for the people doing the outreach

One page, one workflow, tuned to whoever is sending the request.

SDRs

Research a whole prospect list and queue personalized connection notes for one-pass review, instead of copy-pasting the same opener.

Founders

Reach the right people at target accounts yourself, with notes that sound like you wrote them because you approved every one.

Recruiters

Open candidates, read their recent activity, and draft a warm first message grounded in what they actually posted.

Agencies

Run prospecting in each client’s own browser and account, with a review step on every send and no shared cloud tool touching their logins.

Prompts to start prospecting

Copy a prompt, paste it into your AI, and let Actionbook run it in your own LinkedIn session.

Research a list

Open my LinkedIn search for VPs of Sales at Series B SaaS, read each person’s last few posts, and draft a personalized connection note for me to review.

Warm up a lead

Read this LinkedIn profile and its recent activity, then draft a connection request that references something specific they posted this month.

Account-based

Find decision makers at Acme on LinkedIn, summarize what each one is focused on right now, and queue a tailored note per person for my approval.

Re-engage

Go through my pending connections from last quarter and draft a short follow-up message for each, grounded in their latest role change.

Event follow-up

Open the attendee list I pasted, find each person on LinkedIn, and draft a connection note that mentions the event we both attended.

Founder outreach

Find founders in the climate space I share a mutual connection with, and draft a note for each that opens with the mutual connection.

Frequently asked questions about AI LinkedIn prospecting

The questions people ask most before letting an AI prospect on LinkedIn through their own browser.

What do you want your agent to do today?