Agentic platform

AI agents for your company. Built with and for you.

The neuroflash agentic platform is software on which AI agents take over a department’s recurring work, for example in marketing.

Servers in EuropeGDPR-compliantISO/IEC 27001
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In a pilot, you build an agent like this for your own use case.

How it works

An agent that asks your audience before it decides.

An example: the pre-testing agent on a Monday morning.

01

An agent with its own audience

An AI agent completes a task on its own. Whether the result is good is not for the agent to decide, but your audience: 50 Digital Twins built from more than 1 million real profiles.

02

A new draft arrives

Monday, 7:42 AM. A draft lands in the folder. Nobody has to kick anything off: the agent notices it and gets started.

03

The agent asks the twins

It puts the draft in front of 50 twins from “Marketing decision-makers DACH”. Each twin rates it, explains the rating and names its strongest objection.

04

Below 8.0? It revises.

7.2 is not enough. The most common objection: “Where does the data come from?” The agent adds exactly that and asks the same twins again.

05

It reports where you work

A report in Slack with before, after, score and the twins’ voices. The new version sits in Drive next to the original.

06

You decide

Nothing goes live until you approve. After that, the agent keeps working with the same twins and rules.

AI agents · in pilot
1 / 6
Pre-testing agent · Fall campaignExample, illustrative values
Agent log · An agent with its own audience
I’m your pre-testing agent. My job: check every new ad draft before it goes live.
✓Access to Drive, Brand Hub and Slack
Whether a draft is good is not for me to decide. 50 twins from your audience tell me.
✓Good enough from 8.0 · only you can approve
Runs without you · starts with every new draft
☰ Your agent
One agent, your audience
📁Google Drive
🎨Brand Hub
💬Slack
Agent
Pre-testing
Judges every result
+46
Marketing decision-makers DACH
asks before it decides
Twins built from more than 1 million real profiles, not made-up personas
Agent log · A new draft arrives
✓Mon 7:42 AM · new file in Campaigns/Drafts
New draft: FallCampaign_LinkedIn. Nobody called me, I’m starting the check myself.
✓Brand guidelines loaded from Brand Hub
Runs without you · starts with every new draft
☰ Google Drive · Campaigns/Drafts
New in the folder
📄
Newsletter-subject.docxWk 43 · checked
8.1
🖼
LinkedIn_Q4.pngWk 44 · checked
8.3
🖼
FallCampaign_LinkedIn.pngMon 7:42 AM · just uploaded
new
Sponsored · LinkedIn
Test campaigns before they cost budget.
neuroflash.comTry for free
Agent is checking the draft …
Agent log · The agent asks the twins
I’m putting the draft in front of 50 twins from Marketing decision-makers DACH: Does this convince you? What bothers you?
✓50 of 50 twins have responded
Average 7.2. Most common objection, from 31 twins: Where does the data come from?
Runs without you · starts with every new draft
☰ Responses
50 twins weigh in
Marketing decision-makers DACH · 50 twinsAvg 0.0
8 to 106 to 75 and below
Sabine, 52CMO
7/10
Clearly worded. But where does the data come from?
Katrin, 46Head of marketing
8/10
Takes the risk off my plate. I want that.
Agent log · Below 8.0? It revises.
✓7.2 is below 8.0 · round 2 of at most 2
I’m adding a sentence on the data basis. That’s exactly what 31 twins were missing.
✓Sent again to the same 50 twins
Now 8.4. Target reached.
Runs without you · starts with every new draft
☰ Revision
Revise and re-check
Round 17.2
Revision
Test campaigns before they cost budget.
Test campaigns before they cost budget. Checked against twins from more than 1 million real profiles.
Round 27.2
✓ Target reached · ready for approval
Agent log · It reports where you work
✓Report posted in #marketing
✓Version 2 in Drive next to the original
Your turn now. Nothing goes live without your approval.
Runs without you · starts with every new draft
☰ Slack · #marketing
AG
Pre-testing agent App · 8:03 AM

Fall campaign checked: 7.2 → 8.4 with 50 marketing decision-makers. I added a sentence on the data basis, which was the most common objection.

Test campaigns before they cost budget.
Test campaigns before they cost budget. Checked against twins from more than 1 million real profiles.
“Now I believe it.” Sabine, 52, CMO · 9/10
ApproveViewEdit
🖼
FallCampaign_LinkedIn_v2.pngGoogle Drive · next to the original
Agent log · You decide
Approve.
✓Fall campaign approved · 8:15 AM
Done. I’ll keep checking every new draft, with the same twins and rules.
Runs without you · starts with every new draft
☰ Your approvals
Running, every week
Pre-testing agentchecks every new draft before it goes live
Pilot
Recent weeks
Wk 43Newsletter subject8.1approved
Wk 44LinkedIn ad7.6 → 8.3approved
Wk 45Fall campaign7.2 → 8.4approved
Nothing goes live until you approve.
Use cases

AI agents in marketing: two use cases to start with

Most pilots begin with one of two tasks. Both repeat every week, and for both, what your audience thinks is what counts.

01

AI visibility: get recommended in ChatGPT and Google AI Overviews (GEO)

Problem
Your buyers ask ChatGPT, Perplexity and Google which provider fits them. Whether your brand shows up in those answers is usually something you don’t know.
What the agent does
The visibility agent uses Digital Twins of your audience to find the questions your buyers really ask. It creates and tests matching content and measures how often your brand is named in AI answers.
Typical tasks
Finding out what your buyers ask ChatGPT about your category; reworking product and guide pages so AI answers cite them; tracking competitors in AI answers.
Result
Your buyers’ questions, tested content for them and ongoing measurement of your visibility in AI answers.
Example
The first customer has already commissioned the visibility agent.
02

Test campaigns, ads and messages before launch (pre-testing)

Problem
Classic pre-tests with panels take weeks and cost a lot. So many campaigns go live untested, and only the spent budget shows what didn’t work.
What the agent does
The pre-testing agent puts every draft in front of a panel of Digital Twins of your audience before launch. It analyzes the reactions and reworks whatever doesn’t convince.
Typical tasks
Comparing LinkedIn ads and claims before launch; checking messages for a C-level audience; testing landing pages and newsletter subject lines in advance.
Result
A rating with reasons for each variant, from your audience’s point of view, and a clear recommendation on which variant goes live.
Example
The foundation is proven: at the publishing group Oetinger, the Digital Twins’ predictions matched in-house market research 92% of the time, with about 80% less research effort.

Another recurring workflow? For example social media posts, newsletters or content planning: tell us in the call which work your team does again and again. We’ll check whether an agent can take it over.

Request a pilot
1M+

real profiles

The foundation of every Digital Twin.

85-98 %

Accuracy

Prediction accuracy of the Digital Twins according to neuroflash.

92 %

Agreement

with in-house market research at Oetinger, with about 80% less research effort.

Pilot

How the pilot works

One pilot, one department, one use case. Then you decide based on the results.

01

Set the task and goal

Together we pick a recurring task, for example visibility in AI answers (GEO) or pre-testing, and agree how you measure success.

02

Build the agent together

We set up the agent with your team: with your brand, your audience as Digital Twins and your approvals.

03

Go live and decide

The agent works in your team’s daily routine. At the end of the pilot you decide whether it stays and which department comes next.

What your team contributes: one contact person, your brand guidelines and a description of your audience. We take care of setting up the agent.

Data protection

Your data stays in Europe

neuroflash runs its servers in Europe, is GDPR-compliant and ISO/IEC 27001 certified. Which systems an agent may use is agreed in the pilot with your data protection team and your IT. An agent only works with the data and systems your team releases for it.

Servers in Europe
GDPR-compliant
ISOISO/IEC 27001

FAQ

Frequently asked questions about AI agents

What is an agentic platform?

An agentic platform is software on which AI agents carry out a department’s recurring tasks on their own. At neuroflash the agents are set up together with the customer, for example for marketing. Every agent checks its results against Digital Twins of the target audience, built from more than 1 million real profiles.

Which marketing tasks can AI agents take over?

In marketing, AI agents take over recurring tasks such as pre-testing ads and messages, optimizing pages for AI answers, social posts or newsletter subject lines. The two most common starting points at neuroflash are visibility in AI answers (GEO), meaning getting recommended in ChatGPT and Google AI Overviews, and pre-testing campaigns, ads and messages before launch. Further tasks are agreed with the team during the pilot.

How does my brand get recommended in ChatGPT and Google AI Overviews?

ChatGPT and Google AI Overviews mostly name brands whose pages directly answer a concrete buyer question and whose facts also appear in other sources. So what matters is knowing your buyers’ real questions. The neuroflash visibility agent finds these questions with Digital Twins, reworks matching pages and measures how often the brand is named in AI answers.

How can I test campaigns with AI before launch?

Campaigns can be tested before launch with Digital Twins, AI replicas of the target audience. neuroflash Digital Twins are built from more than 1 million real profiles and, according to neuroflash, predict reactions with 85 to 98% accuracy. At the publishing group Oetinger they matched in-house market research 92% of the time.

Are the AI agents GDPR-compliant and where is my data?

Yes, neuroflash AI agents run GDPR-compliant on servers in Europe. neuroflash is ISO/IEC 27001 certified. An agent only works with the data and systems the company releases. Which systems are connected and which approvals a person gives is agreed in the pilot with data protection and IT.

How do you make sure the agents sound like our brand and don’t write generic content?

neuroflash AI agents work with the customer’s brand guidelines and check every result against Digital Twins of the real audience before anything goes live. That shows in advance whether a message lands with buyers. Whatever doesn’t convince, the agent reworks until it meets the agreed criteria.

Does a pre-test with Digital Twins replace an A/B test?

No, it comes before it. An A/B test measures after launch, with real budget, which variant performs better. A pre-test with Digital Twins weeds out weak variants beforehand, so only the strongest variants go into the A/B test and less budget goes to losers.

What can I do if ChatGPT misrepresents my brand?

AI answers draw on what the web says about a brand. You correct wrong or outdated statements with your own content that answers the question clearly and currently, and with mentions in other sources. There are no paid placements and no way to train ChatGPT directly. The neuroflash visibility agent finds your buyers’ questions and creates matching content.

What is the difference between visibility in AI answers (GEO) and SEO?

GEO complements SEO. SEO is about rankings in classic Google search; GEO is about being named in the answer itself, for example in ChatGPT, Perplexity or Google AI Overviews. What counts is content that directly answers a concrete buyer question, and facts that other sources confirm.

What does a pilot cost?

The price of a pilot depends on the task and scope, so it isn’t listed on this page. After the first call you get an offer for your pilot before anything starts.

How does a pilot work and what does my team contribute?

A neuroflash pilot starts in one department with one use case, for example visibility in AI answers (GEO) or pre-testing. Your team provides a contact person, the brand guidelines and an audience description; neuroflash handles the setup. Your team and neuroflash agree on the goal and the metric together. Then you decide based on the results whether the agent stays.

Last updated: November 2026

Request a pilot

Let’s talk about your pilot

Tell us briefly which task an agent should take over. We’ll get back to you with a proposal for your pilot. The request is non-binding.

What happens next

  1. You send us your request through the contact form.
  2. In a first call we clarify the task, goal and department.
  3. Then you get a concrete pilot proposal.
Request a pilot

Which task will you hand over first?

Start with a pilot in one department.

No project for a whole team? Try the Digital Twins yourself in the neuroflash app.