Methodology

What synthetic audiences are, how Tesemble uses them, and where they stop.

This matters more for Tesemble than for most software. Here is exactly what we claim, and what we don't.

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.

What we're building toward

  • Confidence ranges
  • Repeated simulations
  • Prompt and version tracking
  • Model diversity
  • Experiment reproducibility
  • Calibration against real-world outcomes

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

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

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.

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