Tesemble

Simulate broadly. Validate honestly.

Test your GTM hypotheses before you test them in the real world.

Real-world testing is slow and expensive, so most GTM ideas never get tested. Tesemble runs them past a synthetic audience first, so your real tests start with the strongest ideas.

Try for free

Not a replacement for customer research. A faster way to decide what's worth researching first. Prefer Claude or ChatGPT? Use our free icp-gtm-sim skill.

Example experiment

Message test: founders vs sales leaders vs RevOps

576 profiles
2 messages

Hypothesis

Founders of 20–100 person SaaS companies respond more to “reduce sales research time” than “AI-powered account intelligence.”

A: Reduce research time B: Account intelligence
Founders
68%
32%
A wins
Sales leaders
41%
59%
B wins
RevOps
26%
74%
B wins
Supported for founders. Reversed for sales leaders and RevOps.

Likely objections

“Another tool for the sales stack”“Will this work with our CRM?”“Do reps have to change workflow?”

Recommended real-world test

Message A to founders, message B to RevOps, 50 accounts per cohort.

6 weeks → 3 minutes

Explore in minutes. Validate in the real world.

Traditional approach

  1. Idea
  2. Recruit audience
  3. Interviews
  4. Analysis
  5. Iterate

About 6 weeks

With Tesemble

  1. Idea
  2. Synthetic audience
  3. Hypotheses worth validating

About 3 minutes

What you can test

Bring the GTM question you're already debating.

If your team is arguing about it in a doc or a meeting, it's a hypothesis Tesemble can simulate.

ICP exploration

Who should we target?

Compare segments before you spend on outbound.

Positioning

How should we describe it?

Cost-saving tool or productivity tool.

Messaging

Which message lands?

Headlines, emails, ads and sales pitches, side by side.

Objection discovery

What will customers push back on?

Pricing, trust, switching cost, implementation.

Offers

Which offer should we test?

Free trial, demo or paid pilot.

Buyer roles

How do roles respond differently?

Founder, VP Sales, RevOps.

From hypothesis to experiment in four steps.

Explore many ideas at once. Take the ones that survive to the real world.

  1. 1

    Bring your context

    Start with what you have: your website, a product brief, positioning, landing-page copy or a sales pitch.

  2. 2

    Define your audience

    Describe B2B or B2C buyers by role, industry, company size, geography, buying behaviour, pain points and current alternatives.

  3. 3

    Simulate

    The same message runs across hundreds of profiles. Every run shows who reacted differently, which idea looks stronger, likely objections and a recommended experiment.

  4. 4

    Take the survivors to the real world

    Simulation narrows the search. Real customers decide. Test the strongest ideas with them next.

Why not just use Claude or ChatGPT?

A simulation is more than asking an LLM a question 100 times.

You can run the same method yourself. We open-sourced it as icp-gtm-sim: a free skill for Claude, ChatGPT, and Codex that builds a defined audience and reports segment-level patterns.

Tesemble runs that workflow when you need it often — with visual reports, comparisons, and faster runs at scale.

Get icp-gtm-sim on GitHub

Install guides: Claude · ChatGPT & Codex

General-purpose LLM
Tesemble
One conversation
Structured experiment
Ad-hoc personas
A defined audience distribution
Individual answers
Patterns across the population
Prompt output
Comparative analysis
Hard to reproduce
Repeatable experiment
Raw responses
Prioritized hypotheses

Methodology

Simulation, not synthetic certainty.

Tesemble is built for generating and prioritizing hypotheses. It does not replace conversations with real customers.

Synthetic profiles are not real people. They give you a structured, repeatable way to compare how a defined audience is likely to react to competing ideas, so the expensive part of GTM, talking to real customers, starts from a shorter list.

Read the full methodology See the experiments we publish

How a simulation runs

  1. 1Input context
  2. 2Audience definition
  3. 3Controlled messages
  4. 4Many simulated responses
  5. 5Aggregation
  6. 6Segment comparison
  7. 7Prioritized hypotheses

Pricing at launch

Pay for usage, not seats.

1 credit = 1 profile × 1 message. The example experiment above used 1,152 credits: 576 profiles × 2 messages.

Free

10,000 credits

Enough for multiple experiments to get started.

  • Every new account starts here
  • Run your first simulations
  • No credit card
Try for free

Usage

$20 for 20,000 credits

About 17 experiments the size of the example.

  • No subscription
  • No seats
  • No annual contract
Try for free

FAQ

The questions people actually ask.

Something else? Write to care@researchify.io.

Can I run this in Claude or ChatGPT instead?
Yes. We open-sourced the same method as icp-gtm-sim (free, MIT). Install it in Claude, ChatGPT, or Codex and run simulations in chat. Step-by-step guides: Claude, ChatGPT & Codex. Tesemble is for when you want visual reports, side-by-side message tests, and faster runs without managing large grids in a conversation.
What is a synthetic audience?
A set of AI-generated profiles defined by attributes you choose: role, industry, company size, geography, buying behaviour, pain points, existing alternatives. You expose the whole audience to the same message and compare how responses differ across segments.
Are synthetic profiles real people?
No. They are simulated respondents. Tesemble never claims they are a substitute for real customers.
Does Tesemble replace customer interviews?
No. It helps you prioritize what to validate with customers. Use it to narrow a wide set of hypotheses to the few worth the cost of real-world testing.
Where do the profiles come from?
You define them. Profiles are constructed from the B2B or B2C attributes you specify, combined with the context you provide about your product and market. Tesemble then generates many individual respondents that fit that definition.
How accurate are simulations?
Simulations are not predictions of what an individual will do. They surface directional patterns across a defined audience: which message a segment prefers, which objections recur, where segments diverge. Treat the output as a prioritized set of hypotheses, then validate the strongest ones with real customers.
Can I create my own audience?
Yes. Defining your own audience is the second step of every simulation.
Can I upload my own customer research?
Not yet. Today you bring context through your website, product briefs and GTM messages. Uploading your own research is on the roadmap.
Which AI models does Tesemble use?
Tesemble uses large language models to generate profile responses. The value is in the layer around them: defined audience distributions, controlled messages, aggregation across many respondents and segment-level comparison.
Is my company data used to train models?
No. Your briefs, audiences and results are used only to run your simulations.
Can I compare several messages at once?
Yes. That is central to the product. Run competing messages, positionings or offers across the same audience and compare them side by side.

You've got more GTM ideas than you can test.

Test them with Tesemble first.

Try for free

10,000 free credits at launch. No credit card.