FAQ · AI Market Research

Frequently Asked Questions about AI Market Research

Straight answers about how AI market research works, what's in the report, how much it costs, and who it's for.

Versão em português: FAQ em PT · Versión en español: FAQ en ES

How it works

AI market research uses AI agents with real demographic profiles to simulate how different consumer segments react to a product, price, or message. Instead of recruiting real respondents, the system builds a virtual panel calibrated with income, habits, and preferences data — and delivers results in days, not weeks.
Traditional research depends on recruiting real respondents (3 to 8 weeks), is subject to social desirability bias, and exposes the product to the market before launch. AI research runs in a private environment, in 4 to 7 days, with configurable segmentation and no additional field cost for re-analyses. See the full comparison: Traditional Research vs. AI.
It is a set of AI agents with individualized demographic profiles — each with social class, income, region, habits, and consumption history calibrated to reflect a real market segment. Vetura operates with 50+ agents per study, configured specifically for the project's target audience.
The panel is built from the project brief. You define: age range, social class, region, consumption habits, and other relevant attributes. Vetura uses demographic databases (census data and international sources) to calibrate each agent and ensure the panel reflects the real market you want to reach.
For most strategic decisions — product validation, pricing, positioning, communication — yes. Vetura delivers equivalent or superior results in less time and at lower cost. Traditional research still makes sense when you need in-person validation (tastings, physical packaging) or when regulatory requirements demand identified human participants.

Deliverables & timeline

The report is delivered within 7 days of study confirmation. The exact timeline depends on panel complexity and the number of questions configured. Equivalent traditional research typically takes 4 to 9 weeks.
The report includes: NPS and purchase intent by segment, price perception analysis, keyword map and top panel quotes, spontaneously mentioned competitors, consumer personas, resistance points, and actionable strategic recommendations. The deliverable is a premium PDF formatted to present to management or investors.
The investment is customized per project, based on panel complexity, number of questions, and scope of analysis. To get a quote for your specific project, talk to our team. For reference: an equivalent traditional study costs USD 15,000 to USD 100,000+, with a 4 to 9 week timeline. See also: Market Research Cost.
Yes. All panel data is stored in your database within Vetura. You can request re-analyses, new cross-tabulations, and different segments at any time — with no additional data collection cost. In traditional research, each new round of analysis requires a new project and new budget.

Who it's for

No. Vetura operates in a 100% private environment. No information about your product, brand, or strategy is shared externally. This is one of the main advantages over traditional focus groups and surveys, where real respondents have contact with the product before launch.
Yes. Vetura works for both B2C and B2B products and services. For B2B, the panel is configured with decision-maker profiles — directors, procurement managers, team leads — with sector-specific characteristics. The project brief defines the exact profile to be simulated.
No. Vetura validates ideas, concepts, prototypes, marketing messages, and pricing strategies — not just finished products. What you need is a clear brief: what you want to validate, who the target audience is, and which questions you need answered.
Yes. Vetura's executive report includes purchase intent data, segmentation, and market analysis — content relevant for fundraising decks. Several clients use the report as validated demand evidence in pre-seed and seed rounds.
Qualtrics is an enterprise quantitative survey platform — excellent for large samples with a dedicated research team. Vetura was built for pre-launch validation: no respondent recruitment required, the product is never exposed to the market, and the strategic report is the deliverable. For product teams without a research team, Vetura delivers more value with less effort.
Yes. Vetura has been used to validate products in sectors including food, fashion, technology, financial services, healthcare, education, and industrial B2B. The panel is configured specifically for each project's market — calibrated for your target audience, not a generic solution.

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Read also: Traditional Research vs. AIMarket Research Cost7 Best AI Tools5 Signs Your Product Will Fail

Versão em português · Versión en español