An AI market research tool for real decisions
Research the market. Deliver the decision brief.
Bring the category, audience, questions, and decision criteria. ZeroTwo gathers current public evidence and organizes it into a cited landscape, competitor matrix, and source ledger.
What you provide
Define the question before collecting the market
The strongest research brief narrows the category and says which decision the evidence must help you make.
Market boundary
Define the geography, category, audience, use case, and approaches that belong in or outside the analysis.
Decision criteria
Name the strategic choice, questions, comparison fields, risks, and evidence threshold the report must address.
Source rules
Require retrieval dates, stable URLs, first-party evidence where possible, and explicit labels for inference or missing data.
How the work gets done
From an open question to inspectable research
ZeroTwo gathers evidence for the defined scope and carries its provenance into each deliverable.
Plan the investigation
Turn the decision criteria into research questions, comparison fields, and a source strategy.
Gather current evidence
Collect publicly accessible sources, favor primary pages for product and pricing facts, and record retrieval details.
Separate fact from inference
Tie factual claims to source IDs, show gaps, and mark synthesis or recommendation as interpretation.
Build the decision files
Return a polished landscape, structured competitor matrix, and complete source ledger for review.
Example deliverable
Harbor market landscape: production in review
This proof brief defines a US software-market study for a fictional company. No preview or download will appear until a recorded, time-stamped ZeroTwo run passes source and claims review.
The fictional brief, source-ledger template, and acceptance checks are ready. Preview and download links stay disabled until the original ZeroTwo files pass review and receive approval.
No example file published
Available after reviewInside the deliverable
Research files that keep the evidence attached
The recommendation is useful only when a reviewer can trace what is known, inferred, missing, and likely to change.
Market landscape
A polished DOCX with the category boundary, evidence, competitor clusters, recommendation, risks, assumptions, and gaps.
Competitor matrix
A structured CSV covering target customer, positioning, pricing basis, capabilities, sources, retrieval dates, and confidence.
Source ledger
A row-level record of the public pages used, their source IDs, retrieval dates, source type, and accessibility status.
Proof you can inspect
Market research should show its working
The Harbor example is built around explicit provenance and a review date because market facts change.
Provenance
Time-bound public sources
A publishable run must preserve source URLs, retrieval dates, source types, and any access or freshness limitations.
Primary evidence first
Product, capability, and pricing claims should use first-party product, pricing, documentation, or policy pages where available.
No reconstructed result
The public example must use unmodified files from the recorded ZeroTwo run and retain its source ledger.
Validation
Claims trace to sources
Every material product, feature, pricing, and market-pattern claim must cite one or more source IDs.
Facts and recommendations differ
Reviewers check that direct evidence, synthesis, inference, recommendation, and missing evidence are visibly distinct.
Gaps remain honest
The result cannot invent market size, customer proof, pricing, capabilities, or prevalence to fill a weak source set.
What to expect
Research cost follows the scope and evidence bar
This is a paid or credit-backed Work task, not the sponsored report workflow. Usage varies with market breadth, source count, tools, and revision rounds.
- Access
- Paid or credit-backed WorkNo free market-research run or unlimited web research is promised here.
- Scope
- Narrow the market firstA clear category, geography, audience, and decision can reduce irrelevant research.
- Freshness
- Review retrieval datesPricing, product, and policy pages can change after the recorded research date.
This workflow prepares research for review; it is not legal, financial, or investment advice and does not claim exhaustive coverage.
A factual comparison
A source list versus a decision-ready landscape
Market research becomes useful when the evidence, synthesis, and recommendation stay connected.
| Criterion | ZeroTwo workflow | Search-and-summarize workflow |
|---|---|---|
| Starting point | Market boundary, decision, questions, and source rules | A broad topic or search query |
| Evidence record | Source IDs, URLs, retrieval dates, source types, and gaps | Links or citations gathered during individual searches |
| Finish line | Landscape, competitor matrix, source ledger, recommendation | Notes or a narrative summary that may need restructuring |
| Review | Trace claims and separate fact, synthesis, and inference | Reopen sources and reconstruct how conclusions were reached |
The quality of any research result depends on source access, scope, freshness, and review.
Questions before you start
What people ask
What does an AI market research tool deliver?
For this representative workflow, ZeroTwo prepares a cited market landscape, a structured competitor matrix, and a source ledger tied to a defined business decision.
How current is the research?
The output should record retrieval dates for every source. Treat the findings as current to that review date and recheck facts that can change, including pricing and product capabilities.
Does ZeroTwo guarantee exhaustive coverage?
No. Source access, market boundaries, and time limits create gaps. The workflow should state those gaps instead of claiming completeness.
Is the Harbor landscape ready to download?
Not yet. The fictional brief is ready, but the planned outputs will remain unavailable until a recorded run passes source, content, provenance, privacy, and claims review.
Is this market-research workflow free?
No sponsored research run is promised. It uses the paid or credit-backed Work experience; check current pricing before starting.
Evidence in. Decision out.
Turn the market question into research you can inspect
Define the scope, require the sources, and get a landscape, matrix, and ledger built for the decision.
Start this work in ZeroTwo