BuyerIQ vs Traditional Market Research

AI-generated hypotheses and collected research evidence are not interchangeable

Last updated: September 2026

Start with the evidence your decision needs

Research engagements vary by question, methods, recruitment, and deliverables. Costs and timelines depend on scope rather than a universal minimum.

BuyerIQ can help prepare segment hypotheses, market scenarios, and experiments. It does not replace independently collected evidence or establish that a market is validated.

Comparison

	Traditional Research	BuyerIQ
Timeline	Depends on scope and methods	Asynchronous; duration varies
Cost	Depends on scope and provider	Founder: $39/month; up to 100 total paid AI requests per day, shared across analyses, chat, launches, and crawls
Budget Planning	Depends on scope and study frequency	Plan pricing and billing cadence apply
Revisions	Depends on scope and agreement	Regeneration shares the plan daily AI request limit
Accessibility	Depends on scope and provider	Any founder or team
Deliverables	Depends on scope and agreed deliverables	AI-generated hypotheses, not equivalent research evidence

When to use each

Use traditional research for

• IPO readiness (external validation needed)
• Enterprise procurement requirements
• Regulatory compliance documentation
• Primary research for a defined decision

Use BuyerIQ for

• Pre-seed/seed hypothesis planning
• Planning experiments to test market assumptions
• Market scenarios with assumptions to verify
• Startup budget constraints

Complement planning with evidence

The appropriate research approach depends on scope and evidence needs. BuyerIQ generates hypotheses, not calibrated purchase predictions, and does not establish equivalence to a research study. Field validation is required: test assumptions with customers and observed outcomes.

Plan Your Market Hypotheses →