If you are looking for a synthetic audience platform or an alternative to Synthetic Users, start with the research task. Testing an ad's message, exploring a product concept and building a segmentation strategy require different workflows.
A convincing persona is only the beginning. The useful output connects an answer to the material you tested, explains why it matters and helps you decide what to change.
Disclosure: SaliencyLab publishes this guide and develops BuyerLens. This is a comparison of official product documentation reviewed on 27 September 2026; evaluation worksheet added 28 September, not an independent accuracy benchmark or an exhaustive ranking. Product capabilities and terms can change.
Synthetic user platforms compared
| Platform | Useful starting point for… | What to examine in a demo |
|---|---|---|
| Synthetic Users | Interview-based research into problems, concepts and reactions | Audience definition, interview format, follow-ups and transcript access |
| Evidenza | Market research, segmentation and marketing strategy | Research design, inputs and the connection between findings and the plan |
| SaliencyLab BuyerLens | Understanding possible reactions to a specific ad or message | Creative-linked answers, follow-up interviews and the resulting edit recommendation |
These are three options with overlapping capabilities, not three interchangeable packages. Ask each provider to work through your actual question before comparing prices or output volume.
1. Synthetic Users: interviews and concept exploration
Synthetic Users organizes research around audiences, studies, interviews and reports. Its documentation describes different interview formats, including dynamic questioning and concept testing, with follow-up questions and transcripts. Core concepts · Choosing an interview type
Consider it when you want to explore a problem, a concept or the language an audience might use. In a demonstration, ask the same neutral opening question across contrasting profiles. Inspect whether the follow-up responds to the previous answer or simply follows a script.
Before choosing an alternative, identify what is missing from your current workflow: sharper audience criteria, different inputs, more useful follow-ups, evidence you can inspect or help turning the study into a decision. Switching tools will not repair a vague brief by itself.
2. Evidenza: broader market research and strategy
Evidenza positions its synthetic research around business questions such as segmentation, positioning, audience understanding and marketing planning. This makes it relevant when the research task extends beyond a single creative asset. Evidenza's research offering
Consider it when you need a research programme that informs strategic choices. Ask how the audience is constructed, which company or market inputs are used, and how assumptions are separated from observations. Request an example of how an unexpected finding changed a recommendation.
A polished strategy document should still let you trace the reasoning behind a segment or positioning choice. Ask what external evidence the provider would use to challenge its own conclusion.
3. SaliencyLab BuyerLens: simulated feedback on ads
BuyerLens focuses on how AI buyer profiles could interpret an ad: what they understand, what attracts them and what may create doubt. You can select an audience, ask questions and dig deeper into a particular answer. Our service combines those findings with RoastIQ creative diagnostics and team review to form a recommendation. Explore BuyerLens · Watch the workflow
Consider it when your immediate decision concerns the creative or its message. For example: does a skincare ad explain the benefit, or merely demonstrate the routine? A useful follow-up asks what in the ad produced that interpretation and what remains unclear.
BuyerLens participants are simulated. Their answers are hypotheses to examine, not real customer testimony, measured emotional reactions or evidence that a particular percentage of the market will buy.
What makes synthetic feedback useful?
A strong report should make four connections visible:
- Creative to answer: Which image, statement, scene or missing detail prompted the reaction?
- Answer to theme: Can you read the underlying responses, including ones that disagree?
- Theme to implication: What does the finding mean for the decision you are making?
- Implication to action: What specific change would address the issue, and what evidence would tell you whether it helped?
“People want authenticity” could describe almost any campaign. “The opening promises a visible result, but the ad only shows application” is a more testable observation. It identifies a gap between promise and demonstration without pretending a synthetic response proves how real customers behave.
A practical evaluation for a startup
Use a small, fixed exercise before committing to a large study. Bring one concept or ad, the audience criteria and a decision you need to make. Ask each platform:
- “What do you think this is offering?”
- “What in the material made you think that?”
- “What is still unclear?”
- “What would you need to know before considering it?”
Then ask a follow-up about a specific answer. Avoid telling the participant that the ad is confusing or that the product is innovative; those prompts suggest the conclusion you want to hear.
Keep the creative, audience and questions consistent when comparing providers. Judge the specificity of the answers and the traceability of the synthesis. More profiles and longer transcripts do not automatically make the evidence stronger.
How should you compare prices on a tight budget?
Ask for the cost of the same bounded task, including audience setup, input materials, follow-up questions, transcripts, exports, interpretation and any revisions. Check whether the quoted price is for software access, study credits or a managed research engagement.
The lowest initial subscription may not be the lowest cost per useful decision. Equally, a large bespoke study may be unnecessary for an early question that could be narrowed with a small exercise and a few real customer conversations. No cheapest-provider ranking is claimed here; confirm current terms directly with each vendor.
Can synthetic users validate a prototype or product idea?
They can help explore possible interpretations, objections and assumptions. Do not treat a simulated interview as evidence that someone successfully used a prototype, paid for a product or changed their behaviour. A platform reading a description of an interface is doing a different task from a person trying to complete it.
For usability, observe people carrying out the task. For willingness to pay, seek behavioural evidence such as purchases or appropriately designed experiments. Synthetic exploration can help make those real-world tests more focused.
When should you recruit real participants?
Use real participants when the decision needs actual customer language, observed behaviour or a defensible estimate for a population. That is especially important for unfamiliar audiences, sensitive decisions or a substantial investment that depends on a specific customer claim.
Synthetic feedback can help you draft and refine the questions for those interviews. Keep the evidence labels intact when findings move into a presentation: an AI-generated quote does not become a customer quote because it sounds plausible. Read the comparison of synthetic consumers and real panels.
Which platform should you shortlist?
Start with Synthetic Users for interview-led exploration, Evidenza for a broader strategy research brief, and BuyerLens when the immediate task is an ad and the creative decision around it. Evaluate the quality of the evidence trail, not just the fluency of the answer.
For visual attention, brand cues and campaign data, you may also need a different tool alongside synthetic interviews. See our comparison of six ad creative testing tools.
Working on an ad your team needs to back or improve? Watch the 49-second SaliencyLab demo, or discuss your campaign with us.
Choosing a research workflow
This guide addresses synthetic platform selection. For a broader decision about surveys, repositories and creative review, see choosing the right category of AI research tool.
Keep a comparable evaluation record
Download the tool evaluation worksheet. Record the exact asset and task, evidence type, source traceability, review effort, cost scope, data-handling terms and date checked. Leave a field unknown when the vendor has not demonstrated it. This avoids turning an attractive demo or a longer feature list into an unsupported ranking.