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BuyerIQ vs Typeform

Participant responses and AI-generated hypotheses serve different purposes

Last updated: September 2026

Separate stated preferences from observed purchases

Typeform collects responses through forms. Those responses can help explore needs and preferences, but a stated intention to buy is not an observed purchase.

Survey interpretation depends on sampling, wording, and context. BuyerIQ generates hypotheses rather than responses from people; it does not remove the need to gather evidence.

Comparison

TypeformBuyerIQ
CostDepends on scope and plan; check current provider pricingFounder: $39/month; up to 100 total paid AI requests per day, shared across analyses, chat, launches, and crawls
Respondent CostDepends on scope and recruitmentNo respondents in generated output; field research costs are separate
TimelineDepends on scope and recruitmentAsynchronous; duration varies
Sample SizeDepends on scope and samplingGenerated segments, not a respondent sample
Evidence limitsDepends on scope, sampling, and question designNo published product-specific accuracy benchmark
TAM/SAM/SOMResponses may inform a separately designed sizing studyGenerated scenarios with assumptions to verify

When to use each

Use Typeform for

  • • Lead capture forms
  • • Event registration
  • • Post-purchase feedback from customers
  • • Qualitative open-ended questions

Use BuyerIQ for

  • • Pre-launch hypothesis planning
  • • Planning experiments to observe purchase behavior
  • • TAM/SAM/SOM scenarios to verify
  • • Segment hypotheses to test

Combine hypotheses, responses, and observed outcomes

Typeform collects participant responses; BuyerIQ generates hypotheses, not calibrated purchase predictions. The appropriate research mix depends on scope. Field validation is required: test assumptions with customers and observed outcomes before acting.

Plan Your Market Hypotheses →