AaruBehavior simulation
Population simulations for product, pricing, messaging and strategic decisions.
Audience simulation
Your guide to synthetic market research
Find companies, compare tools and read clear guides to synthetic market research.
FOR SYNTHETIC RESEARCH COMPANIES
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Synthetic Market Research is a dedicated directory for synthetic surveys, digital twins, synthetic data and audience simulation tools.
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Research tools
Delve AISynthetic Users
AI-generated participants for surveys, interviews and product-concept feedback.
Synthetic respondents
Electric TwinSynthetic audiences
An audience workspace for asking new questions of models built around customer research.
Audience simulation
FairgenBoost
Synthetic expansion of existing survey samples for deeper subgroup analysis.
Sample augmentation
FairgenTwins
Simulated respondents from partner audiences or your own quantitative and qualitative research.
Digital twins
IpsosPersonaBot
Conversational access to personas from segmentation studies, including consumer and healthcare applications.
Digital twins
PanoplaiDigital Twins
Audience segment conversations alongside survey collection, data ingestion and reporting.
Digital twins
QualtricsSynthetic Panels
Synthetic survey responses within Qualtrics, with documented survey-feature compatibility.
Synthetic respondents
SimileBehavioral simulation
Human-behavior simulations designed to explore reactions to changing products, prices and policies.
Audience simulation
Synthetic UsersSynthetic Users
Persona-based research studies, interviews and surveys with developer API access.
Synthetic respondents
TolunaHarmonAIze Boost
Post-fieldwork synthetic augmentation for smaller or hard-to-reach survey groups.
Sample augmentation
TolunaSynthetic Personas
Synthetic survey-taking personas for screening claims, ideas, flavors and brand messages.
Synthetic respondents
YabbleVirtual Audiences
AI-generated audiences for exploratory research and concept feedback, including visual stimuli.
Audience simulation
Updated 6 September 2026. Suggest a toolAbout the directory
UPCOMING EVENTS
Events
YouScan’s Synthetic Audiences: Built From Real Social Conversations in Real Time
Insight Platforms · YouScan
Mariia-Malika Bahnenko and Anna Yanko will demonstrate how YouScan builds synthetic audiences from social conversations. The session will show how groups are formed around topics, opinions and interests, then used to explore reactions to messages and campaigns. The speakers will also run a simulated survey and compare the themes and disagreements across groups.
Online · Qualitative Insights Summit session · 2:00–2:40 PM GMT (7:30–8:10 PM IST)
The Cracked Mirror: What AI Reflects About Us, and What It Can’t
Insight Platforms · Amplinate
Joshua LaMar of Amplinate will discuss what synthetic respondents, digital twins and simulated interviews can miss in qualitative research. He will introduce the Three Mirrors framework and a four-stage test for examining the difference between representations of people and simulations. The session will also cover how to combine AI-assisted work with human research and judgement.
Online · Qualitative Insights Summit session · 5:00–5:20 PM GMT (10:30–10:50 PM IST)
Always-On Synthetic Panels
Greenbook Insights Tech Showcase
Greenbook lists a showcase on always-on synthetic panels. The attendee calendar gives a January 13 date and a noon Eastern Time start. Speakers, demonstrations and the detailed programme have not yet been announced.
Online · 12:00 PM ET
NEWS
News and company updates
ResearchStudy finds synthetic respondents can match survey averages while missing human patterns
A preprint posted on 22 October tests whether AI-generated survey respondents reproduce the combinations of answers people give. Yusuke Kumagae of Hakuhodo DY Holdings and Masahiro Kaneko of MBZUAI tested six language models on 100 questions each from two US datasets: the World Values Survey and the American National Election Studies. Their respondent coverage gap measures how close each human answer profile is to a generated one. Two samples can agree on individual questions while containing different combinations of views. Under the main test settings, all six models performed worse on this measure than a simple comparison method that draws each answer independently from human survey results. A statistical method that also models relationships between questions performed better than the language models across the tested settings. Longer response histories and other changes improved some results, but did not close that gap. The study covers off-the-shelf models and two US social surveys. It does not test every commercial synthetic-research service, specialist training method or prediction of real purchases. The paper is a preprint and has not been peer reviewed.
Read more Image: arXiv
AnnouncementBioVid announces Mimetics synthetic physician research
BioVid announced Mimetics in a release dated 22 October 2026. The offering uses synthetic physician audiences for pharmaceutical message and concept testing, positioning, segmentation and opportunity assessment. BioVid says the models draw on its MindSet Modeling physician surveys and secondary information about clinical practice. Clients can commission studies using mimetic respondents alone or alongside people, use an app to question modeled segments, or tailor models with their own research. Managed fieldwork is described as taking one to two weeks after the required inputs arrive, followed by a report and research-team readout. BioVid reports an 80–90% match between mimetic and human cohorts across content, reasoning and emotion, but the announcement does not give the complete scoring protocol or test datasets. A public study price is not listed. The web page carries a 21 October date, while the release itself is dated 22 October.
Read more Image: BioVid
AnnouncementResonate launches Digital Twins for consumer research and audience targeting
Resonate launched Digital Twins on 20 October 2026, offering synthetic consumer research linked to audiences clients can use for advertising. The service lets brands, agencies and campaign teams ask new questions of modeled individuals, then use the results to identify relevant audience groups. Resonate says the models draw on its US Consumer Study, observed behavior and predicted attributes. Its described population of more than 250 million US adults includes modeled information and projections, rather than 250 million people answering each client's questions. The service is available through consultation, with delivery described as taking about five days. The announcement names an agency project with Wpromote x Giant Spoon. Resonate reports a 93% average match with fielded research in its comparisons, but does not provide the complete question set, sample sizes or scoring calculation in the release. The reported result is not an accuracy guarantee for a new study.
Read more Image: Resonate
AnnouncementCMB launches audience personas and simulation tools
CMB announced its Decision Intelligence Suite on 15 October 2026. The suite includes Intelligent Personas, which uses earlier research and customer information to model audience conversations, alongside tools for analytical questions, predictive scenarios and external market monitoring. Its dedicated persona service supports individual and group discussions for concepts, creative work, positioning and strategy. CMB says the personas can be refreshed as new information arrives. The company reports using the suite with Fortune 100 clients, but the announcement does not identify them or provide a numerical evaluation against human research. Access is arranged through CMB, and a public subscription price is not listed. CMB is the trading name of Chadwick Martin Bailey, Inc., an ITA Group subsidiary.
Read more Image: CMB
ResearchStudy tests decision models as synthetic survey respondents
A preprint by Mantas Lukauskas and Viktorija Šarkauskaitė compares 14 decision models and 47 generative language models using a Lithuanian organisational-psychology survey with 263 respondents and 68 questions. The researchers supplied profiles of 100 respondents and compared simulated answers with human responses and statistical baselines. Decision models return probabilities for each answer option. Averaging those probabilities reproduced overall answer distributions better than rounding them into single answers, but relationships between questions were less well preserved. The decision models also predicted individual answers less well than a baseline based on other respondents’ answer frequencies. The study shows why matching survey averages does not establish accurate predictions about individuals. Its findings cover one psychology dataset, rather than consumer buying behaviour, and comparisons with a second human sample were too noisy to rank models reliably against people. The paper was submitted on 10 October and has not been peer reviewed. Code and raw model outputs are available from the authors on request.
Read more Image: arXiv
ResearchStudy tests country-level models for synthetic survey responses
A preprint by Augusto Gonzalez-Bonorino, Kseniia Biriukova and Monica Capra examines whether country-level survey information can guide synthetic responses. The authors trained Llama 3.1 models using six Global Preferences Survey measures, including trust and attitudes to risk, then tested answers to World Values Survey questions across 16 selected countries. The models learned the supplied synthetic comparisons and retained a broad trust signal when the question wording changed. Agreement with real people's answers remained unresolved, and results differed across the other measures. The study therefore separates learning supplied information from predicting human responses. Its proposed use in screening survey questions still needs a test against an independent human pilot. This is a preprint published on 5 October, not a peer-reviewed validation of synthetic panels.
Read more Image: arXiv
INDUSTRY GUIDANCE