Every Seed Check conclusion answers five questions: why, based on what, how confident, what assumptions were made, and what to do next. This is the exact method behind it.
Intent parses your idea, target customer, location, business type, and stage to frame every later analysis in your specific context—not a generic template.
Live market data is gathered and sized. Demand direction and trend signals are extracted from the evidence, never invented.
Named competitors are identified with their positioning, pricing, and gaps — so your differentiation is concrete, not assumed.
The target customer is profiled from your input and market evidence — their pain, urgency, and buying behavior — with a clear call to validate with real conversations.
Revenue model, startup costs, unit economics, and break-even are estimated from industry benchmarks — and clearly labeled as AI estimates, not verified financials.
The biggest risks are surfaced with why they matter and a mitigation strategy — ranked by probability and impact, never hidden.
Your score is a weighted blend of eight factors — Market Demand, Competition, Profit Potential, Scalability, Execution Difficulty, Customer Need, Risk, and Confidence. Every factor shows why, the evidence, and how to improve it.
A structured roadmap is generated from the evidence — and stays current via the Living Blueprint, which re-syncs as your Seed Check, risks, and AI specialist work change.
Every recommended AI specialist explains why it was chosen, its objective, its inputs and outputs, and the business outcome it drives.
You continue directly into the Intent AI Team with your idea, score, SWOT, market research, risks, and 30-day plan carried forward — never repeating information.
The score is a transparent, weighted blend of eight factors. Every factor is scored from evidence and shows why, the supporting evidence, and how to improve it.
Market Demand
Size, growth, and direction of the target market.
Competition
Crowding, pricing pressure, and your differentiation gap.
Profit Potential
Revenue model, margins, and unit economics.
Scalability
How easily the business grows without breaking.
Execution Difficulty
Operational complexity and the build bar.
Customer Need
Urgency and evidence of real customer pain.
Risk
Probability and impact of the biggest threats.
Confidence
How well-evidenced the analysis is overall.
✅ Verified Evidence
From named external sources with citations, research date, and confidence.
🟡 AI Inference
Synthesized by Intent from evidence and benchmarks—always labeled, never as fact.
⚪ User Input
What you told us about your idea, customer, and stage.
Market, competitor, news, places, and industry evidence are gathered from external research providers. Every cited source carries a title, provider, confidence, and research date. What you tell us (idea, customer, location, budget) is treated as user input — never conflated with verified external evidence.
Intent synthesizes each section by combining the gathered evidence with your business context and industry benchmarks. Every conclusion is labeled: ✅ Verified Evidence (named source), 🟡 AI Inference (synthesized from evidence), or ⚪ User Input (what you told us). AI inference is never presented as fact.
Research confidence is derived from how much well-evidenced data backs the report — the breadth and quality of cited sources across the eight scored factors. Higher verified-evidence coverage and stronger source confidence raise the overall confidence level (High / Moderate / Limited). Low confidence triggers an explicit "validate with real customers" callout.
Every report assumes your inputs (idea, customer, location, business type, budget) are accurate; that the market operates broadly like industry benchmarks; and that competitor and pricing signals from research are representative. Where an assumption materially affects a conclusion, it is surfaced in that section — and in the Report Provenance block of your report.