From hypothesis to cited evidence.

State what you believe about a market. Market Evidence runs AI market research against the same structured questions in every country you choose, and shows you exactly where the belief holds.

Your workspace

Case overview

Case overview in Market Evidence showing the four research steps: outline, descriptor, research, report

Built for a team, not one person typing a prompt.

A case runs as a shared workspace, not a solo research session. Your project lead scopes it, your team answers by role, and AI market research only starts once that input is in.

  1. 1

    Project lead scopes the case

    The thesis, candidate markets and research depth per market, set before anything else moves.

  2. 2

    Team answers by role

    Sales, finance, legal, product, or whichever function a question belongs to. Research on a market cannot start until everyone who needs to answer has. See who on our team is involved.

  3. 3

    Input check, never a blocker

    Before research starts, a quick check flags whether an answer is specific enough. It never blocks the run — it only shows what to tighten.

  4. 4

    Project lead reviews the anonymised descriptor

    Before research starts, the project lead reviews the anonymised descriptor that will be used. Your company name never reaches the research model. See what is blind research.

  5. 5

    Contributors and viewers see different things

    Contributors see only the questions assigned to them. The project lead sees the whole case. Read-only viewers can be invited to watch without editing.

Market picker showing research depth set per market: Not in scope, Standard or Deep
The project lead sets research depth for each market before research starts.
Input quality check flagging whether an answer is specific enough, without blocking research
Weak input is flagged for the team to fix, without holding up the case.
Anonymised descriptor card rendered before a research prompt is built
The project lead reviews the anonymised descriptor before it reaches the research model.

Your team reads the same case together, instead of one person forwarding a PDF. See does a person check the findings for what stays automated.

The same questions run for every market before anything is scored.

Market Evidence

  1. 1

    Research

    The same questions for every market, run in three phases: market and access, commercial, then operating model. Rated sources are checked first, then the open web. See how Screened and Deep research differ.

  2. 2

    Score

    A weighted score, the same weights for every market. Gaps stay visible, never a zero.

Your board

  1. 3

    Decide

    Summary and Verdict across the case, a Plan, and briefs per department.

Research runs for one market, by phase, each completed with its question count and duration
Each phase shows its status, how many questions are done and how long it took.

Research runs, tracked

Each phase of a market’s research shows its status, how many questions are done and how long it took, with earlier runs one click away.

The outcome depends on the quality of your team’s input; see why input quality matters.

What AI market research gets you, market by market and across the case.

AI market research from Market Evidence follows one chain, market by market and then across the whole case. Findings are the pillars: every answer to your fixed question set, cited and with its status. Summary reads every market together, in the context of your question. Verdict is AI-based analysis and evaluation of the facts found: likely success, risks and what to watch. Plan builds on the Verdict with rollout waves, cost, headcount and ROI. Each deliverable builds on the one before it.

  1. Findings

    Per market

  2. Summary

    All markets together

  3. Verdict

    Analysis of the facts found

  4. Plan

    Rollout and cost

A finding question, its Inferred status, and the start of a blurred finding row
Every finding carries a status and a link back to its source.

Included

Findings

Every answer to the fixed question set, with its status and linked to its source. The pillars everything else is built on.

Where every market stands, with Germany and United Kingdom listed
See where each market stands before you open the Verdict narrative.

Add-on

Summary & Verdict

All markets in the case, read together in the context of your question, with AI-based analysis and evaluation of the facts found: likely success, the risks, and what to watch. Bought together, per case.

Add-on

Plan

Builds on the Verdict: rollout waves, cost, headcount and ROI across the markets in the case.

Markets are ranked by a weighted score built from the question set, so the ranking is the same measure applied to every market in the case. See how the weighting works and ranking and weighting.

A workspace for decisions, not a pile of reports.

Compare markets side by side

See every market’s findings, summary and verdict next to each other.

Units ranked by composite score, headed by Germany
Compare every market’s composite score and coverage in one dashboard.

Invite client viewers too

Add read-only viewers for people who need to watch the case without editing it, alongside the project lead and contributors who answer by role.

Keep the history

Every case stays on record, ready to revisit when the market moves.

Built for your case

Work from a question set built for your case, the same for every market in it.

Hosting and data in Europe

Your company is never named in a research prompt: contributor answers reach a prompt only once a question is cleared for it, and every finished brief is scanned before it is sent. By default, your team’s written content is processed on an EU-hosted model; your organisation can also set EU-only or connect your own AWS, OpenAI or Google Gemini account. See hosting and data.

Read about trust and security

Why not just ask a chatbot?

Market Evidence compared with using a general chatbot for market research

Market Evidence is market entry research software built to replace do-it-yourself research with a general chatbot: different questions per market, no visible sources, and a strategy pasted into a personal account. The difference comes down to whether AI market research is structured and sourced, or improvised one prompt at a time. Here is where the two approaches to AI market research actually differ.

CapabilityMarket EvidenceGeneral chatbot
Same fixed question set, every marketIncludedNot included
Every claim linked to a sourceIncludedNot included
Self-maintaining, rated source registry of 2,000+ sources, checked before the open webIncludedNot included
Finding status and evidence grade on every answerIncludedNot included
A gap is named, with a reason, never a silent zeroIncludedNot included
Tests your thesis claim by claim: confirms, corrects or reverses itIncludedNot included
Team input collected by role, kept separate from findingsIncludedNot included
Committee view: every market ranked and placed on a quadrantIncludedNot included

See a full case, start to finish.