AI-Powered LinkedIn Prospecting Agent

Deploy an AI agent
that prospects on LinkedIn.

You built the product. SalesTouch finds the customers. The agent scrapes 10+ sources per prospect, generates a unique message, and runs the pipeline to booked meeting. You just close.

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Findweek
Monstock
Flatchr
Revolugo
Talentis
Scaleflex
Cloudimage
Sedomicilier
Freelance Republik
Findweek
Monstock
Flatchr
Revolugo
Talentis
Scaleflex
Cloudimage
Sedomicilier
Freelance Republik

You built a great product.
Nobody knows about it.

You're a dev, a founder, a maker. You can build. But prospecting? Not in your stack.

Lemlist, Waalaxy, La Growth Machine — same result: templates to 500 people, 2% reply rate, flagged account.

You don't know where to start. Which ICP? What angle? What sequence? Generic campaign. Zero results.

The tool asks you to write sequences upfront. Blank page syndrome. You procrastinate for weeks.

You do it manually. 10 min per prospect. By the tenth, you're fried. The list waits. Then never.

The real problem: no tool treated prospecting like an engineering problem. With data and an end-to-end pipeline.

The Solution

An autonomous AI agent
that runs the pipeline end-to-end.

The agent scrapes each prospect across 10+ sources, generates a unique message, handles follow-ups and replies, and pushes to meeting. Configure once, runs on autopilot.

You automated your CI/CD. Now automate your sales pipeline.

One workflow. Four autonomous stages.

01
ScrapeLinkedIn, Crunchbase, Google News, job listings — 10 sec / prospect
02
Generatea unique message based on real data, not a {first_name} template
03
Orchestratefollow-ups, reply management, hot conversation escalation
04
Bookmeetings from first message to Calendly link
Data Pipeline

10 data sources.
10 seconds per prospect.

Multi-source scraping in real time. No static database. Live research.

  • LinkedIn posts, comments, reactions — recent engagement signals
  • Job changes, promotions, funding rounds, active hiring
  • Crunchbase, Google News, website, tech stack, growth stage
  • Response probability score to prioritize hottest leads

For those who can build but can't sell

Technical foundersIndie HackersSolopreneursFreelance devsEarly-stage SaaS teamsTech consultantsDev & growth agenciesSide-project buildersProduct Hunt makersCTOs who also need to sellSoftware studiosGrowth teams

One agent.
Every LinkedIn scenario.

Connection requests

A data-backed reason to connect, not a generic pitch

Follow-up messages

Reactivate dormant connections with a fresh angle

InMail

Maximize ROI on every premium message

Post-event follow-up

Import attendees, scrape profiles, personalized follow-up

Content engagement

Smart comments on posts, then DM with context

Intro requests

Mutual connections identified, optimal intro generated

For Agencies

Scale outreach.
Without scaling the team.

One agent per client. Individual scraping, unique messages, booked meetings. Not CSVs.

  • Multi-tenant: one dashboard, N campaigns in parallel
  • Full isolation: each agent configured for client business
  • Output = booked meetings, not lead lists
  • Auto reporting: prove ROI every week
Approve
Edit

The metrics speak for themselves

500+
agents deployed
3-5x
more replies vs. templates
22
meetings booked in 1 week (record)
10h+
manual work eliminated / week

I'm a dev. Prospecting is my nightmare. One week with SalesTouch: more meetings than the entire previous quarter.

C
CTO & Co-founder
B2B SaaS (12 people)

Reply rate from 3% to 28%. Each message references something specific the prospect did. Not mass-mailing. Sniping.

H
Head of Growth
Growth Agency

'First LinkedIn message I've ever replied to.' When the data is good, the message is good.

S
Solo founder
Tech consulting
Under the Hood

The scraping pipeline.
In detail.

Per prospect, a multi-source research workflow in real time:

LinkedIn Activity

Posts, comments, reactions. Real engagement signals.

Timing Signals

Job change, funding, launch, hiring.

Company Intel

Crunchbase, Google News, website, tech stack, growth stage.

Job Listings

Open positions, department growth.

Social Graph

Mutual connections, shared groups, common backgrounds.

Response Score

Predictive model. Focus on hottest prospects.

Setup

4 steps.
20 minutes. Agent running.

1

Import your leads

Sales Navigator URL, LinkedIn Search, post, group, event. Or CSV.

2

Agent scrapes and generates

Multi-source scraping in 10 sec, signal analysis, unique message.

3

Validate the batch

Research + message side by side. Approve, tweak or skip. Human-in-the-loop.

4

Agent runs the pipeline

Sending, follow-ups, replies, booking. Workflow runs on autopilot.

Today's session

Target: 20 qualified prospects

00:00
Marie Durand
Marie Durand
CEO @ TechNova
Scraping...
Thomas Petit
Thomas Petit
Head of Growth
Lucie Bernard
Lucie Bernard
Founder @ Solo
Overall progress
8/ 20
RESUME ROUTINE
Agentic Architecture

Not a chatbot.
An autonomous agent with workflows.

Say "start the routine". The agent scrapes, generates, sends, follows up. Like a senior SDR running 24/7 on your LinkedIn pipeline.

Autonomous scraping across 10+ sources, orchestrated in real time

End-to-end pipeline: message → follow-ups → replies → booking

Schedulable workflows: configure once, daily autopilot

Cheaper than an intern. More effective than a senior SDR.

Pre-configured Playbooks

Don't know how to prospect?
The agent already does.

Battle-tested playbooks. Pick a strategy, the AI adapts to your business. Zero config.

Warm Intro

Mutual connections and shared interests

Content-Based

References the prospect's latest post

Signal Hunting

Detects funding, hiring, launch — strikes at the right moment

Reactivation

Revives dormant connections with a fresh angle

What this looks like in practice

400+
conversations / month

20 scraped-and-generated messages go out every morning. Without opening LinkedIn.

3-5x
more replies

Prospect thinks you spent 10 min on their profile. Scraping took 10 seconds.

22
meetings / week

A technical founder: 22 meetings in one week. Without writing a single message.

Monitoring

Full observability.
On every run.

Which angles drive replies? Which segments convert? Iterate on data, not intuition.

1
Sarah C.94
2
Julien M.87
3
Léa M.76
4
Hugo B.65
5
Marc A.52

Metrics.
Not vanity metrics.

The only KPIs that matter. No bullshit, just signal.

  • Messages sent vs. replies — outreach conversion rate
  • Performance by angle and segment
  • Pipeline attributable to the agent — your real CAC
  • Time invested vs. meetings booked — ROI in min / meeting
142
Sent
38
Replies
26.8%
Rate
Zero Risk

7 days to test. Refunded if it doesn't deliver.

Deploy the agent, run a workflow, measure. Not convinced in 7 days? Full refund. One email.

You built the product.
Let the agent find the customers.

Your product is ready. You need an acquisition pipeline that runs itself. Deploy the agent, focus on what you do best: closing and building.

Your product deserves users. The agent will find them.

Zero Risk
7 days free trial

Technical FAQ

An autonomous agent that runs an end-to-end prospecting workflow: scraping, analysis, message generation, sending, follow-ups, replies, booking. You configure, it executes in a loop.

LinkedIn posts, full profile, website, Crunchbase, Google News, job listings, mutual connections. 10+ sources, 10 seconds, real time.

No. Rate limits respected. Human-in-the-loop on every message. No mass-automation.

They send templates to 500 people. SalesTouch scrapes each prospect individually and generates a unique message. Zero templates.

Sales Navigator URL, LinkedIn Search, post, group, event, job listing. Or CSV.

Per LinkedIn account. Unlimited scraping. Unlimited messages. Sending included. Check our pricing page.