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Evidence-first market research

Market research you can actually defend.

AI research usually gives you an answer. EvidenceLab gives you an answer, the source, the confidence, and the framework it came from — in your customer's language.

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Pricing anxiety in mid-market SaaS

78% · Medium

Loved the product until renewal — the tier jump caught our finance team off guard.

›trustpilot.com
2026-02-03
JTBD · Renewal job

Ügyfélszolgálati elégedetlenség

72% · Medium

Napokig vártam a válaszra, végül átmentem a versenytárshoz.

›gyakorikerdesek.hu
2026-01-27
VOC · Support pain

Differentiation vs. cheaper open-source alternatives

81% · High

The hosted version pays for itself the day something breaks at 3am.

›news.ycombinator.com
2026-02-10
Aaker · Perceived quality

Workspace evidence library

— · Library

Filter by brand, framework, confidence, source domain, or freshness. Reuse across projects.

›12,431 quotes
347 findings
Cross-project reuse

The problem

AI research today is a black box.

Generic AI answer

“The market is growing rapidly.”

“Users tend to prefer intuitive interfaces.”

no source · no date · no confidence

EvidenceLab finding

84% of surveyed practitioners abandoned a competitor after a botched onboarding flow.

Source

reddit.com/r/SaaS

Confidence

84% · High

2026-01-14
  • Volume9 corroborating quotes
  • Diversity6 independent domains
  • Reliability0.79 avg
  • RecencyMedian 21 days
  • ConsistencyNo contradictions
JTBD · Onboarding job

One is a guess. The other is a citation.

Five ways it's different

Findings you can actually use.

01

Every finding you can defend to your CMO.

Every claim ties to a verbatim quote, a source URL, a published date, and a transparent confidence score built from volume, diversity, reliability, recency, and consistency. Findings below 60% confidence are hidden by default — no more silent hallucinations. Recomputed on every read, never stale.

Pricing anxiety in mid-market SaaS

78% · Medium

Loved the product until renewal — the tier jump caught our finance team off guard.

›trustpilot.com
2026-02-03
JTBD · Renewal job

02

Your customer's voice, in your customer's language.

When you research a Hungarian brand, EvidenceLab searches gyakorikerdesek.hu and hup.hu with words like vélemények and panasz — not g2.com in English. When you research a German market, it queries gutefrage.net and trustpilot.de. Reports come back in your language, even when the sources are in five others.

Ügyfélszolgálati elégedetlenség

72% · Medium

Napokig vártam a válaszra, végül átmentem a versenytárshoz.

›gyakorikerdesek.hu
2026-01-27
VOC · Support pain

03

Five research questions, five specialised tools.

Positioning research follows Aaker's brand equity framework. Market research uses Porter's Five Forces plus TAM/SAM/SOM. VOC leans on Jobs-To-Be-Done and NPS themes. Trend analysis runs on PESTEL and time-decay signal detection. Competitor analysis on feature and pricing matrices. Each type has its own query strategy, source biases, and confidence weights. Not one prompt for everything.

Differentiation vs. cheaper open-source alternatives

81% · High

The hosted version pays for itself the day something breaks at 3am.

›news.ycombinator.com
2026-02-10
Aaker · Perceived quality

04

Research memory that compounds.

Every brand, product, audience insight, and evidence quote lives in your workspace — searchable, filterable, reusable. Your third project starts smarter than your first. When your ChatGPT tab closes, your research disappears. Here it accumulates.

Workspace evidence library

— · Library

Filter by brand, framework, confidence, source domain, or freshness. Reuse across projects.

›12,431 quotes
347 findings
Cross-project reuse

05

Transparent runs. Resumable failures. Fair pricing.

See exactly what a research run will cost before you start. If it fails mid-way, resume from the last completed stage instead of paying again. Every LLM call, every crawl, every search is metered — you never wonder where the credits went.

Run 4-a2f · standard depth

72 credits · Estimated

1 Tavily search = 1 credit · 1 Firecrawl page = 1 credit · 1 LLM extract = 2 credits.

›search → crawl → extract → cluster
resumes from stage 3
Metered · Idempotent

Not one prompt for everything

Every project inherits an industry-tested framework.

  • PositioningAaker · Brand equityPerceived quality, associations, loyalty, awareness — mapped to your evidence.
  • MarketPorter's Five Forces · TAM/SAM/SOMCompetitive intensity, supplier/buyer power, and a defensible sizing story.
  • Voice of CustomerJTBD · NPS themesThe jobs your customers hire your product for — and the ones they fire it over.
  • Trend analysisPESTEL · Time-decaySignals ranked by momentum, not raw volume. Yesterday's news doesn't outweigh this morning's.
  • Competitor analysisFeature · Pricing · Positioning matrixSide-by-side matrices that survive being pasted into a strategy deck.

How it works

From URL to defensible finding in under twenty minutes.

  1. 01Step

    Add your brand and products.

    URL autofill drafts the profile — you review and edit before saving. No blind AI persistence.

  2. 02Step

    Frame the question.

    Pick the research type, language, source depth, freshness window, and which brand or product facets to feed the search.

  3. 03Step

    Watch it run.

    Search → crawl → extract → dedupe → cluster → findings. Every stage transparent. Resume any that fails.

  4. 04Step

    Share what holds up.

    Publish reports in the report language, export to PDF, DOCX, Markdown, or JSON, or share via a token link that shows confidence and citations.

Ready to stop guessing?

Try EvidenceLab free. Bring your first brand in under two minutes.

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No credit card. Free tier: 200 credits per month.