Hours of profile research
Your team reads profile after profile just to decide whether a message is worth sending.
AI sales agents
Check and personally approach every lead,in seconds instead of hours.
Describe once what a good lead looks like. The agent reads every LinkedIn profile, scores it against your criteria, sorts out what does not fit and writes a personal message. For thousands of leads at the same time.
- Your own prompt
- Test run before launch
- Keeps running automatically
In the call we show you the agent on your own audience.
Lead list: Mechanical engineering DACH
LinkedIn profile
Jana Berger
Head of Sales
Nordwerk Anlagenbau GmbH
Analysis based on your prompt
- Decision-making role in sales
- Company with 50+ employees
- Active on LinkedIn, topic sales growth
Fit
Accepted- Markus LenzAccepted
- Sabine RothSorted out
- Tobias EderAccepted
- 4
- steps from target to an active agent
- 1
- prompt that evaluates every lead individually
- 30 days
- at most until the automatic restart for new prospects
- 24/7
- processing in the background, without your input
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The problem
Qualifying and personalizing eats your sales day.
Without an agent, the time your team has for research decides who gets approached. Not who actually fits.
Messages that disappear
Without a real connection to the person, every message looks like mass outreach and gets ignored.
Everyone rates differently
Different standards across the team make lists incomparable and results unpredictable.
Scaling means hiring
More leads mean more manual work. Keeping quality and speed at once does not work.
The flow at a glance
From lead list to a finished decision.
The agent takes leads from a lead list or a LinkedIn campaign, evaluates them with your prompt and returns a structured result for every lead.
Your leads
Lead list
Campaign
Your agent
- 1Read profile
- 2Check criteria
- 3Write message
Result per lead
AcceptedSorted out
ScoreTagsMessage
Use it further
LinkedIn campaign
Email
CSV export
Live in 4 steps
From first prompt to a running agent.
No development project and no long setup. You configure, test and activate right in the platform.
- 1
Choose your target
Pick which leads the agent works on: a lead list from your import or CRM, or the leads of a running LinkedIn campaign.
- Lead lists or campaigns as the source
- See in advance how many leads will be processed
Lead list
Mechanical engineering DACH
Campaign
Outbound Q4
2.480leads in the source - 2
Set prompt, model and criteria
Describe in your own words what the agent should look for. Define sort-out criteria and the output fields you want, and choose the right AI model.
- Sort-out criteria in plain language
- Output as tags or JSON
- Save and reuse templates
Prompt
Assess whether the person is a sales decision-maker. Write a short, personal message that references the profile.
AI model
Fast standard model
Sort out if
no decision-making role in sales
Output
scorerolemessage - 3
Test with real leads
Before anything goes wide, let the agent process a few leads and review result and message. If something is off, sharpen the prompt.
- Test run on sample leads
- See right away what the agent sees and decides
Test run
Jana Berger
AcceptedPaul Dietrich
Sorted outLea Winter
AcceptedResult looks right? Then activate.
- 4
Activate and let it run
With one click the agent processes all leads. It can reprocess new prospects automatically. You see results per run, export them or start your outreach with them.
- History of all runs with single restart
- Automatic restart for new prospects
- Export as CSV
Runs
CompletedAll leads
Today, 09:12
CompletedNew prospects
Yesterday, 16:40
Export CSVProcess new prospects automatically
Every 5 days
What is inside
Everything a sales agent needs to do.
From evaluation to the finished message: the features you need for reliable results.
Deep profile evaluation
The agent receives the full LinkedIn profile: position, career, education, location and more. That produces assessments with a real connection to the person.
Your own sort-out criteria
You define in plain language who gets sorted out. Every lead is judged the same way.
Multiple AI models
Choose the model that fits the demands and budget of your task.
Structured results
Score, tags and message as clear fields, as tags or JSON. Ready to use right away.
Automatic restart
New prospects are reprocessed automatically at the rhythm you choose. Your pipeline stays current.
Runs under control
Every run is traceable. Restart single leads when needed and export everything as CSV.
Use cases
One tool, many sales tasks.
Start from a template or write your own prompt. The agent adapts to your task.
Qualify leads
Prompt
Check whether the person decides in procurement and the company fits SaaS customers.
Result
AcceptedProcurementICP fit
Personalize outreach
Prompt
Write an opening message that references the current role and a profile topic.
Result
Message readyHook: role2 sentences
Segment audiences
Prompt
Assign each lead to one of three audiences and briefly explain the choice.
Result
Segment BGrowthRationale
You stay in control
Test first, then scale.
No black-box promise. You see what the agent decides and can sharpen it at any time.
Test run before activation
Review results on sample leads before the agent processes all of them.
Your rules, your language
You write prompt and criteria yourself. The agent follows exactly those instructions.
Traceable runs
Every run can be reviewed. Restart single results when needed.
Privacy in view
Data stored in Germany, no resale of data, DPA on request.
Frequently Asked Questions
Everything important about AI sales agents, setup and privacy.
Next step
Let your first agent work on your audience.
We show you live how an agent evaluates and approaches your leads. Or start on your own and test it with your leads.