Comparisons
FeedbackAI vs Canny: which feedback tool is right for you?
If you're evaluating feedback tools, Canny is probably already on your shortlist — it's been around since 2017 and is one of the most widely used feature-voting platforms out there. FeedbackAI solves a related but different problem. This post lays out how they actually compare, so you can pick the right tool instead of the more familiar one.
The short version
Canny is built around a public board: your users submit ideas, vote on the ones they care about, and watch them move across a roadmap to a changelog. It's a proven model for products with an engaged, vocal user base that's happy to visit a dedicated page to weigh in.
FeedbackAI starts from a different assumption: most feedback never makes it to a voting board at all. It's buried in support tickets, Slack threads, and one-off emails. FeedbackAI ingests all of that, automatically classifies each item as a bug, feature request, or complaint, and clusters duplicates together — so your team sees structured signal without asking anyone to fill out a form.
Feature-by-feature
| Feature | FeedbackAI | Canny |
|---|---|---|
| Core approach | AI classifies, scores, and clusters feedback automatically as it comes in | Public board where users manually submit and upvote ideas |
| Best for | Teams drowning in unstructured feedback from support, Slack, and email | Teams that want a public-facing roadmap and voting mechanism |
| Pricing model | Free during beta — flat, no per-user metering | Free plan capped at 25 tracked users; paid tiers scale with every user who posts, votes, or comments |
| AI capabilities | Classification, semantic clustering, and duplicate detection built into the core pipeline | An add-on ("Autopilot") that surfaces feedback from support conversations |
| Public roadmap & changelog | Not yet — FeedbackAI is an internal triage dashboard today | Native public roadmap and changelog, a long-standing strength |
| Integrations | Slack, with an API for everything else — more integrations on the way | Broad catalog: Jira, Linear, ClickUp, Zendesk, Intercom, Slack, and more |
| Setup effort | Minutes — connect Slack or start posting through the API | Minutes to start, plus extra configuration if you want a polished public board |
Where Canny wins
Be honest with yourself about this one: if a public roadmap and a visible voting board are core to how you communicate with customers, Canny's dedicated tooling and mature integration catalog are hard to beat today. FeedbackAI doesn't currently offer a public-facing board — it's focused on giving your internal team a clean, triaged view of everything coming in.
Where FeedbackAI wins
- No voting required. Most feedback doesn't arrive as a deliberate feature request — it's a complaint in a support ticket or an offhand comment in Slack. FeedbackAI captures that without asking users to visit a separate page.
- AI is the core, not an add-on. Classification and clustering run on everything by default, rather than being a separate feature layered on top of a voting board.
- Predictable cost while you grow. Canny bills per "tracked user" — everyone who ever posts, votes, or comments — so a single popular request can push you into a higher tier. FeedbackAI is free during its beta with no per-user metering.
Which one should you use?
Choose Canny if
You want customers to publicly submit and vote on ideas, and you're ready to actively manage and market that board.
Choose FeedbackAI if
Feedback is scattered across support, Slack, and email, and you want it classified and clustered automatically without extra process for your users.
The two aren't mutually exclusive — some teams run a public Canny-style board for marketing-facing requests alongside an internal pipeline like FeedbackAI for everything else.
Try FeedbackAI free during beta
Connect Slack or the API and see your feedback classified and clustered automatically — no credit card required.
Start for free