Painboard uses AI to analyze qualitative customer feedback, build a taxonomy of themes, and surface detailed insights. It centralizes feedback, quantifies data, and enables data-driven product decisions.
Data & Analyticsusepainboard.comTracked since 2026-08-211 discovery source
520Backlinks
83Referring domains
18Domain authority
-6.0%Referring domains · 90 days
Authority & distribution
How strong is Painboard’s web footprint?
Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.
Backlinks
520Current snapshot
Referring domains
83Current snapshot
Authority
18Domain authority · category median 22
90-day move
-6.0%Referring domains, last 90 days
At 18, Painboard sits below the 22 median for its category.
Trajectory · Pro
The counts above are the latest of 370 daily observations. The curve through them is on the full profile.
Traffic makes more sense when you can connect it to the actual product promise.
“Painboard”
Painboard uses AI to analyze qualitative customer feedback, build a taxonomy of themes, and surface detailed insights. It centralizes feedback, quantifies data, and enables data-driven product decisions.
Data & AnalyticsSeen 2026-08-21 → 2026-08-21Coverage tier C
What we have measured
4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.
Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.
Canonical website: https://usepainboard.com
Observed across 1 discovery source.
Research questions
What the evidence answers about Painboard.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
What problem does Painboard solve for product teams?
Painboard solves the problem of scattered, unstructured customer feedback by centralizing it and using AI to analyze it. It builds a taxonomy of themes, quantifies qualitative data, and surfaces detailed insights for data-driven product decisions, eliminating manual tagging of transcripts and open-ended responses.
In what situations is Painboard used?
Painboard is used when teams need to analyze qualitative customer feedback at scale. It is applied to centralize product feedback, uncover insights, and make confident decisions by comparing performance across channels, locations, and time periods to pinpoint improvement areas.
What key features does Painboard offer?
Painboard offers AI analysis of qualitative feedback, a customizable and adaptive smart dashboard, theme customization (merge, split, rename), automatic identification of new themes, and the ability to share any view with colleagues via a link. It also allows filtering, segmentation, and visualization of themes.
How is Painboard priced or packaged?
The evidence does not provide specific details on Painboard's pricing model or packaging tiers. The website invites prospective users to 'Book a demo' for more information.
What is Painboard?
Painboard is a SaaS tool that uses AI to analyze qualitative customer feedback, build a taxonomy of themes, and surface detailed insights for data-driven product decisions.
5 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.
Behind the lock
Unlock full Painboard intelligence.
Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
AI referral detailHow much traffic assistants send.
Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.
Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured