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Cleo vs Canny

Cleo vs Canny: which is the right AI product engineer for your team?

Cleois an AI product engineer that runs the product loop continuously: listen across customer sources, turn signal into sourced bets, hand them to your coding agents with the full context, then prove the impact with honest deltas. A human makes the call on a weekly rhythm. Here’s how that compares to Canny in practice.

Side-by-side

Dimension
Canny
Cleo
What it does
Collects, dedupes, and prioritizes feature requests via a public voting board and changelog.
Runs the full product loop: listen across sources, synthesize, decide (ship/validate/defer/kill), hand the spec + tickets to your coding agents, measure impact.
Who it's for
Mid-sized SaaS teams that want a customer-visible roadmap and request portal.
Solo founders and early-stage product teams shipping continuously without a dedicated PM.
Cadence
Continuous intake; teams typically review on their own schedule.
Always-on. Every evidence-backed recommendation is sourced.
Evidence & audit trail
Each post links to votes and comments contributed by users on the board.
Every recommendation cites the underlying source quotes (Slack thread, ticket, call note) so you can verify before you commit.
Decision engine
Status fields (Open / Planned / In Progress / Complete). Prioritization is a manual call by the team.
Explicit ship / validate / defer / kill recommendation with a confidence score and the reasoning behind it.
Specs & tickets
Integrations push linked items into Jira, Linear, GitHub; specs are written by your team.
Drafts the spec and opens tickets in your tracker, pre-linked to the source signals.
Post-release impact
Changelog announcements and follow-up notifications to upvoters.
Tracks NPS, churn risk, support load, and adoption after release and ties the delta back to the ship decision.
Pricing entry point
Free starter; paid plans from $79/mo (Starter) on Canny's site.
Cleo is priced as a flat workspace fee, not per maker.

When Canny is the right call

Teams that want a public, customer-facing voting board to collect feature requests, deduplicate them, and broadcast a changelog. If the primary need is letting users see and upvote what others are asking for, Canny is purpose-built for that.

When Cleo is the right call

Founders and small product teams who need to act on feedback continuously. Not just collect it. Cleo synthesizes signal from Slack, Intercom, sales notes, and analytics into one ship/validate/defer/kill call, then drafts the spec and tracks impact after release.

Frequently asked

Does Cleo replace Canny?

It can, if your primary need is acting on feedback rather than displaying a public voting board. Cleo ingests the same kinds of signals Canny collects, but adds synthesis, an evidence-backed decision, draft specs, and post-release impact tracking. Teams who specifically want a public, user-facing portal often keep Canny for the portal and use Cleo behind it to actually run the loop.

Can I migrate from Canny to Cleo?

Yes. Export your Canny posts and comments as CSV and Cleo will ingest them as a feedback source alongside Slack, Intercom, and your analytics. Past upvotes inform the initial opportunity ranking.

How does the pricing compare?

Canny's paid plans start around $79/month. Cleo is priced as a flat workspace fee, not per maker. The like-for-like comparison depends on whether you need a public portal (Canny) or end-to-end continuous execution (Cleo).

Does Cleo have a public roadmap and changelog like Canny?

Not as the headline feature. Cleo is built for the team running the loop, not for end users browsing requests. If you need a customer-facing portal, pair Cleo with a simple changelog tool or keep Canny for that surface.

Will Cleo's recommendations conflict with what our customers upvote on Canny?

Often they agree. When they diverge, Cleo will show you why, usually because Slack/sales/usage signal is louder than the board for that particular cohort. The point is to surface that gap, not hide it.

See it on your data

See Cleo run on your data. Book a 30-min walkthrough.

We’ll plug Cleo into your real customer signal (or a sample dataset) and run a week of the loop live, side-by-side with whatever you use today.

Book a walkthrough →