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AI market research platform buyer guide
The useful shortlist for an AI market research platform in 2026 is not a ranked listicle. It is four questions. Does the vendor publish an error rate? Against which benchmarks? At what n? Is pricing public? This page applies that rubric to vendors whose own sites we could fetch. It is a field overview, not a ranking.
How to read the field
Synthetic research platforms split by artifact. Interview tools return themes. Persona libraries return conversations with named profiles. Enterprise simulators return scoped studies after a sales call. Tabulated panels return option shares you can score against a real poll. Lewsearch is the last of those. Adjacent names in the same search results are often a different purchase. The comparison pages under /compare keep each vendor in its own unit.
Worked shortlist: one grocery claim
You need a read on a new claim among Texas shoppers. A Simile or Aaru engagement, as those sites describe it, is sales-led simulation. Synthetic Users would return interviews at $2–$60 each, per its homepage. Minds would return persona-and-audience work at a printed euro price. FishDog, on its own market-map post, describes a census-persona product at $50,000–$75,000 a year. Lewsearch would return option shares from a Texas panel whose published ex-electoral MAE is 4.88%. If legal wants a CSV of scored questions before you sign, that file is on methodology.
| Vendor | Published accuracy unit | Public pricing |
|---|---|---|
| Lewsearch | 7.47% MAE, 404 of 460 Q | Credit packs, Pro $1,750/mo, enterprise from $90,000/yr |
| Simile | 7,000+ weekly evaluations; no pooled MAE (simile.ai) | Does not publish |
| Aaru | Median Spearman 0.90 on one EY wealth study (aaru.com) | Does not publish |
| Synthetic Users | 85–92% thematic parity (syntheticusers.com) | $2–$60 per interview |
| Minds | 80–95% / 85–95% agreement range (getminds.ai) | From €0; Individual €39/$39 |
| Ditto / FishDog | 92% focus-group overlap on a self-authored fish.dog post | $50–75k/yr on that post; homepage has no rate card |
What this guide is not
It is not a “best of 2026” ranking. It does not convert Spearman, parity, or agreement percent into MAE. It does not invent n for a vendor that did not publish n. Human panel houses remain the legal-sample option and are omitted because they are not synthetic vendors. If a competitor is missing, we could not verify a published rubric cell on their own site at fetch time.
Sources
Competitor cells cite the vendor's own pages. Lewsearch cells cite /methodology and /pricing.
FAQ
- What is the best AI market research platform in 2026?
- The one that publishes error rates, names the benchmarks, states n, and tells you the price. Lewsearch publishes a pooled MAE and a price list. Several well-funded vendors publish a different unit or no pooled error at all. Feature lists do not settle this.
- What units do vendors publish?
- Lewsearch: mean absolute error. Aaru: Spearman correlation on one EY study. Synthetic Users: thematic parity. Minds: an 80–95% / 85–95% agreement range. Simile: weekly evaluation volume. FishDog: focus-group overlap on a self-authored post. Do not average those figures.
- When should I not use a synthetic platform?
- When you need a defensible human sample: litigation, regulatory filings, or a number a journalist will print. Every serious vendor we fetched says some version of that on its own site.
- Where are Lewsearch's numbers?
- 7.47% mean absolute error on 404 ex-electoral questions of a 460-question benchmark vs real polls (Pew, Gallup, UT/Texas Politics Project, PPIC). Pricing is on /pricing. Coverage is on /coverage.
Check the work
Related comparisons
Canonical: https://lewsearch.com/compare/ai-market-research-platform-buyer-guide