The best concept testing platform depends on the decision in front of you: an AI screener such as Minds, Zappi's Synthetic Idea Pre-Screener or Kantar ConceptEvaluate AI to cut a long list of ideas, a normed human test such as Zappi, Ipsos InnoTest or NIQ BASES for the go/no-go call, and choice modeling in Conjointly or quantilope when price and features have to be traded off. Prices and published accuracy figures below were checked on vendor pages on October 3, 2026 (as of October 2026, prices change). Minds is our product; we list it first where it fits and say where it does not.
| If you need… | Pick | Why |
|---|
| To screen 20 to 100 early ideas this week with reasons, not just scores | Minds | Concept Studies on reusable Audiences, open-ended and scored questions, self-serve with Pay as you go from $0.12/response |
| A synthetic first cut benchmarked against a human concept test you already use | Zappi | The Pre-Screener is benchmarked against Zappi's own human test and ranks 30 to 300 ideas |
| A normed CPG go/no-go read with real consumers | Ipsos InnoTest or NIQ BASES | Choice-based tests and forecasting norms built on large innovation databases |
| Confidential AI screening against a big survey database | Kantar ConceptEvaluate AI | Trained on tens of thousands of past concept tests; concepts never go to consumers |
| Price and feature trade-offs | Conjointly or quantilope | Self-serve conjoint and MaxDiff with published plan prices |
| DIY surveys with real consumers in many markets | Attest | 150M+ consumers in 59 countries on a credit subscription |
| Real customers explaining their reaction in their own words | Conveo or Listen Labs | AI-moderated interviews with real participants |
| Tool | Best for | Method | Starting price | Published accuracy / validation |
|---|
| Minds | Fast concept screening with reasons, self-serve | Synthetic Audiences, qualitative and quantitative Studies | Pay as you go from $0.12/response; Pro $199/user/month | Per-Audience validation scores against real surveys; no single headline number |
| Zappi | Normed CPG concept and ad testing programmes | Human surveys with norms, plus a synthetic pre-screener | Not published (source) | 88% top-band agreement with its human test (source) |
| Kantar ConceptEvaluate AI | Confidential AI screening of many concepts | AI model trained on past concept tests | Shown per market; survey concept tests from $2,830 (source) | Close to 90% accurate against past survey results (source) |
| NIQ BASES AI Screener | CPG innovation ahead of BASES volumetrics | Synthetic respondents from NIQ panel data | Not published (source) | Not published as a figure |
| Ipsos InnoTest | Normed choice-based concept tests | Human sample, gamified choice task | From $3,750 per test (source) | Not published as a figure |
| Attest | DIY consumer surveys in many markets | Human survey panel | Credit subscription, prices not published (source) | Not published |
| Conjointly | Self-serve conjoint and pricing research | Choice modeling with panel sample | Free Basic; Professional $2,895 per team per year (source) | Not published |
| quantilope | Advanced methods on a subscription | Automated survey methods | Business from $2,300/month (source) | Not published |
| Toluna Start | Panel surveys plus synthetic claims screening | Human panel, synthetic personas | Not published (source) | Not published |
| Qualtrics | Enterprises already on Qualtrics | Human and synthetic panels | Not published (source) | 0.07 SD average deviation on 8 Likert items (source) |
| Conveo | Video interviews on concepts at scale | AI-moderated human interviews | Not published (source) | Not published |
| Listen Labs | Fast multilingual customer interviews | AI-moderated human interviews | Not published (source) | Not published |
| Synthetic Users | Early qualitative concept interviews | Synthetic interviews | From $12,500/year (source) | Vendor reports 85% to 92% theme parity (source) |
1. Minds
Best for: product, marketing and insights teams that need to screen many concepts quickly and see why each one wins or loses.
Minds is the end-to-end platform for commercial synthetic research. You build an Audience, a reusable set of Minds (AI personas) grounded in public sources and the research inputs you add, then run a Study that shows each concept as copy, images, decks, landing pages, video or Figma inputs where enabled. Questions can be open-ended, single choice, multiselect or scales, and deterministic methods such as MaxDiff, Kano, Van Westendorp, Gabor-Granger, TURF and conjoint run inside the same Study, with segment comparison across Audiences. Read more in the AI concept validation use case and the concept testing guide.
Pricing: Pay as you go is $0.12 per response (prepaid packs from $60 for 500 responses); Pro is $199 per user per month with 5,000 responses per user per month, pooled; Enterprise is custom.
Published accuracy or validation: Minds does not publish one headline accuracy number, because fit varies by audience and topic. Audience Validation scores an Audience against real published surveys or your own survey files (PDF, Excel, CSV, Word): each survey gets a score out of 100 with a 95% range, its source and who it asked, and Minds lists every question it left out and why. Validation consumes responses, and the method is described in the Minds PRISM overview.
Watch out for: results are simulated and directional, not a representative sample, and there is no norms database for CPG concept scores. Validation needs at least 10 ready Minds and 8 fitting survey questions, which can be thin for new categories.
2. Zappi
Best for: CPG and QSR insights teams running repeated, norm-benchmarked concept and ad tests.
Zappi combines consumer survey data and AI for concept, ad and pack testing. Its Synthetic Idea Pre-Screener ranks 30 to 300 ideas at once, with results in about 15 minutes for 100 ideas or fewer, so teams decide which ideas go into the human test. Zappi itself says the pre-screener decides which ideas merit a closer look, not which ideas are proven winners.
Pricing: platform subscription (Premium or Enterprise, both with unlimited users) plus credit bundles; no list prices (source).
Published accuracy or validation: 88% of concepts ranked in the top 30% by the Pre-Screener also performed high or medium in Zappi's human research, and 85% of concepts in the bottom 30% performed low or medium (source). This is band agreement with Zappi's own test, not score correlation.
Watch out for: sales-led subscription plus credits, no free plan.
3. Kantar ConceptEvaluate AI
Best for: innovation teams screening many early concepts confidentially before survey-based testing.
ConceptEvaluate AI is a fully AI-based screener on Kantar Marketplace, trained on survey data from real concept tests. It predicts Trial, Uniqueness and Relevance for as many as 100 concepts at once in as little as 15 minutes, and concepts are never shown to consumers.
Pricing: shown per market at checkout across 48 markets; Marketplace survey-based concept testing starts from $2,830 and idea screening from $4,150 (source).
Published accuracy or validation: close to 90% accurate against past survey-based results when predicting trial, uniqueness and relevance, per the July 2024 launch (source). Kantar does not define "accurate" in that release.
Watch out for: scores only; no open-ended reasons from respondents, and the accuracy figure dates from 2024.
4. NIQ BASES AI Screener
Best for: CPG innovation teams screening and optimising early concepts before BASES volumetric testing.
NIQ BASES screens ideas with synthetic respondents built from NIQ consumer panel behaviour and combines them with BASES metrics. In a Reckitt case study, NIQ reports 70% faster insight generation and 75% fewer physical prototypes (source).
Pricing: not published.
Published accuracy or validation: not published as a figure; NIQ states its personas are validated against human-tested concepts (source). The Reckitt numbers are case outcomes, not predictive accuracy. See our Minds vs NIQ BASES AI Screener comparison.
Watch out for: available in select markets and categories as of April 2026, sales-led.
5. Ipsos InnoTest
Best for: innovation teams that want a choice-based concept test with Ipsos norms, self-serve or serviced.
InnoTest runs on Ipsos.Digital with real respondents. A gamified choice task, response time and AI sentiment produce a Trial Index built on Relevance, Expensiveness and Differentiation, benchmarked against more than 200,000 innovations in the Ipsos database.
Pricing: from $3,750 per test, varying by market, in 61 markets (source).
Published accuracy or validation: not published as a figure; Ipsos states its indicators are validated to in-market sales (source).
Watch out for: a human-sample test, so each round costs fieldwork time and money; no synthetic pre-screen found.
6. Attest
Best for: brand, marketing and product teams that want DIY surveys to real consumers across many markets.
Attest gives access to 150M+ consumers in 59 countries and 70+ languages for concept, creative and brand research, with an AI co-pilot and a results API.
Pricing: annual credit subscriptions (Basic up to 50,000 credits through Custom at 400,000+), where one credit is one answer to one question from one person; prices are not shown (source).
Published accuracy or validation: not applicable as a synthetic claim; responses come from real people.
Watch out for: annual commitment, and unused credits expire after 12 months.
7. Conjointly
Best for: researchers and smaller teams who need conjoint, pricing and concept tests self-serve.
Conjointly automates conjoint, MaxDiff, Kano, Van Westendorp and claims tests, and sources panel sample at a bid price per complete.
Pricing: Basic is free (advanced methods limited to 20 responses); Professional $2,895 per team per year; Ultimate from $10,000 a year; self-serve sample averages USD 1.55 per complete (source).
Published accuracy or validation: not applicable as a synthetic claim; responses come from panel sample.
Watch out for: sample cost is extra and bid-based, so total cost depends on audience difficulty.
8. quantilope
Best for: insights teams wanting agency-grade advanced methods on a subscription platform.
quantilope runs 16 automated advanced methods, including conjoint, MaxDiff, TURF and implicit tests, with an AI co-pilot.
Pricing: Business (3 users) from $2,300/month; Pro and Enterprise by contact; conjoint and segmentation only in Enterprise (source).
Published accuracy or validation: not applicable as a synthetic claim; responses come from panel sample.
Watch out for: panel costs are not listed, and the most useful concept methods sit in the top tier.
9. Toluna Start
Best for: brands that want DIY or serviced surveys on a proprietary panel plus synthetic claims screening.
Toluna runs a global panel of more than 81 million consumers. Its synthetic personas, launched for US claims testing, were built from a US panel of 19.4 million participants (source).
Pricing: not published.
Published accuracy or validation: not published on Toluna's own pages.
Watch out for: synthetic personas started as a US-only, serviced claims product.
10. Qualtrics
Best for: enterprises already on Qualtrics that want synthetic and human panels in one survey workflow.
Qualtrics Edge Audiences sells synthetic panels next to human panels; synthetic responses are flagged as such in the data. The synthetic panel currently covers the US general population in English, from 50 to 10,000 responses per panel (source).
Pricing: credit-based through an Account Executive; synthetic responses use 0.5 to 1.5 credits each, and the credit price is not published (source).
Published accuracy or validation: average deviation from human response means of 0.07 SD, against 0.87 SD for GPT, replicating eight attitudinal Likert questions (source). Qualtrics notes weaker performance on context-specific past behaviour.
Watch out for: needs a Qualtrics subscription and a sales conversation. See Minds vs Qualtrics.
11. Conveo
Best for: enterprise insights teams that want video interviews about concepts, ads and claims at scale.
Conveo runs AI-led video interviews with real consumers and keeps a knowledge layer across studies. MaxDiff and pricing questions are available, while conjoint, Kano and TURF are listed as coming soon (source).
Pricing: not published (demo request).
Published accuracy or validation: not applicable as a synthetic claim; participants are real people.
Watch out for: sales-led, and some quantitative methods are not yet available.
12. Listen Labs
Best for: teams that need many real customer interviews quickly, in many languages.
Listen Labs designs and runs AI-moderated interviews with a network of 50M+ participants in 120+ languages and synthesises the findings (source). Salesforce signed an agreement to acquire Listen Labs on September 29, 2026 (source).
Pricing: not published.
Published accuracy or validation: not applicable as a synthetic claim; participants are real people.
Watch out for: the pending acquisition may change pricing and roadmap.
13. Synthetic Users
Best for: product teams running early qualitative concept interviews with AI participants.
Synthetic Users runs synthetic interviews (problem exploration, concept tests, custom scripts) and writes an insights report. Studies can be grounded in your transcripts and support tickets.
Pricing: annual plans on a research token pool from $12,500 a year, with unlimited seats (source).
Published accuracy or validation: vendor-run comparison studies report 85% to 92% "synthetic-organic parity" measured on thematic overlap, depth and qualitative alignment (source). That is theme overlap, not distribution accuracy.
Watch out for: qualitative interview focus and an annual commitment. See Minds vs Synthetic Users.
We scored each platform on five criteria: method fit for concept decisions (screening, normed go/no-go, trade-offs, depth), whether the vendor publishes evidence of accuracy and what it actually measures, pricing transparency, self-serve versus sales-led buying, and how well results flow into the next step. Every price and accuracy figure links to the vendor page we fetched on October 3, 2026; where a vendor publishes nothing, the table says "not published". No vendor paid for placement. Minds is our product, which is why its limits are spelled out below. For background on synthetic versus human answers, read synthetic vs real respondents and the definition of automated concept testing.
AI screeners are good at cutting a long list, finding objections and sharpening wording. They are the wrong tool when:
- The decision is a final go/no-go on a large launch. Run a normed human test (Zappi, Ipsos InnoTest, NIQ BASES) or an in-market test first.
- You need a statistically representative estimate, such as trial rate or volume for a forecast. Simulated answers are directional.
- The product is physical or sensory. Taste, smell and texture need real people with the product in hand.
- Claims must be substantiated for regulators or retailers. Use human evidence.
- The audience has little public data, such as niche B2B roles or a brand-new category, which makes both simulation and validation thinner.
- You need observed behaviour (clicks, purchases), which only live experiments measure.
Minds' own limits: outputs are simulated and directional, not a representative sample; there are no recruited human participants and no CPG norms database; validation needs a fitting published or own survey; and running research requires a purchased response balance on Pay as you go ($0.12/response) or Pro.
- Take 5 to 10 concepts you already tested with people and know the result for.
- Run them through two or three shortlisted screeners with the same audience definition and wording.
- Compare the rank order and the top and bottom groups with your human result, not one headline number.
- Check whether the reasons each tool gives match the open-ended answers from people.
- Keep the tool that agrees best on your categories, and re-check it every few quarters.
