• Synthetic Audiences

The AI audience engine behind MessageWorks

Synthetic Audiences give you realistic, persona-specific reactions to your messaging—fast enough to use on everyday content, not just the biggest campaigns.

They power MessageWorks content testing today, and soon, workflows like website audits and broader messaging reviews.

Why Synthetic Audiences matter

Synthetic Audiences are core infrastructure for MessageWorks. They turn AI from a friendly editor into a research engine that can pressure-test your story at scale and explain why a message is likely to work or fail.

Critical, not sycophantic:

Surface real objections, confusion points, and credibility issues Chat GPT would often gloss over.

Clear levers to pull:

Feedback is tied to drivers of performance and author actions—what to clarify, emphasize, or cut for each content type.

Realistic variance by persona:

See how different slices of your audience are likely to respond, instead of betting on a single averaged opinion.

Reusable across workflows:

MessageWorks uses Synthetic Audiences that power content testing to enable site audits and high-signal reviews.

Why most messaging never really gets tested

In a perfect world, every important message - and every piece of content - would be tested with real buyers. In reality, most teams either skip testing altogether or rely on tools that don’t scale to everyday content.

Real audiences are slow and expensive:

Focus groups and surveys take weeks to organize, cost a lot, and suffer from response bias—so you only use them for a few big bets.

A/B tests are hard to run well:

They need volume, careful setup, and a control group. You burn part of your list, wait for results, and still don’t know why version A beat version B.

“Ask an AI persona” isn’t enough:

Copy-pasting into a browser LLM gives you one obsequious opinion, not the spread of reactions you’d see in a real audience.

How Synthetic Audiences work

Synthetic Audiences use a multi-stage expert forecaster workflow to predict how a real group of buyers, all sharing a persona, would respond to your content. Instead of asking “Do you like this?”, we ask targeted questions about what actually drives performance for that content type.

Expert forecasters model your buyers

AI “expert forecasters” are tuned to your personas and to best practices for B2B LinkedIn posts, blog posts, marketing emails, and web copy.

High-signal, content-type-specific questions

For each asset, they answer refined questions mapped to key performance drivers—clarity, relevance, differentiation, proof, call-to-action strength, and so on.

Distributions, not single answers

From those answers, MessageWorks creates a synthetic audience with realistic variation: some people may love the message, some may be neutral, and some might be skeptical.

See how Synthetic Audiences change your content reviews

Watch how expert-forecasted Synthetic Audiences turn your drafts into a steady stream of concrete, persona-specific insights—without waiting weeks for surveys or burning your list on A/B tests.