← AI Recommendation IndexOpen Data · Rolling 4-week window

Canny vs Productboard

A fact-by-fact comparison of Canny and Productboard — sourced and dated — plus the part no generic comparison shows: which one AI assistants actually recommend more, engine by engine.

Measured by Orbatormethodology owner Henrik Tellewindow ends Sep 6, 2026

What AI recommends — by engine

Recommendation share = the % of sampled AI answers, over a 4-week rolling window, that recommend each product. Higher is better.

CLAUDE

Canny

0.5%

Productboard

0.5%

GEMINI

Canny

0.6%

Productboard

0.5%

GROK

Canny

0.1%

Productboard

0.4%

CHATGPT

Canny

0.3%

Productboard

0.5%

PERPLEXITY

Canny

0.2%

Productboard

0.3%

The facts — sourced & dated

canny.io

Features

  • Smart repliesSource · Verified Sep 5, 2026
  • Canny MCPSource · Verified Sep 5, 2026
  • Automatic feedback captureSource · Verified Sep 5, 2026
  • Feedback deduplicationSource · Verified Sep 5, 2026
  • Idea ManagementSource · Verified Sep 5, 2026
  • API & webhooksSource · Verified Sep 5, 2026
  • Custom fieldsSource · Verified Sep 5, 2026
  • User segmentationSource · Verified Sep 5, 2026
  • Automation rulesSource · Verified Sep 5, 2026
  • Feedback PortalSource · Verified Sep 5, 2026
  • Status updatesSource · Verified Sep 5, 2026
  • Comment summariesSource · Verified Sep 5, 2026

Integrations

  • IntercomSource · Verified Sep 5, 2026
  • ZendeskSource · Verified Sep 5, 2026
  • SlackSource · Verified Sep 5, 2026
  • JiraSource · Verified Sep 5, 2026
  • ClickUpSource · Verified Sep 5, 2026
  • LinearSource · Verified Sep 5, 2026
  • AsanaSource · Verified Sep 5, 2026
  • HubSpotSource · Verified Sep 5, 2026
  • SalesforceSource · Verified Sep 5, 2026
  • Microsoft TeamsSource · Verified Sep 5, 2026
  • OktaSource · Verified Sep 5, 2026
  • ZapierSource · Verified Sep 5, 2026

Pricing

  • Pro: $79 a monthSource · Verified Sep 5, 2026
  • FreeSource · Verified Sep 5, 2026
productboard.com

Features

  • Custom prioritization formulasSource · Verified Sep 5, 2026
  • Release planningSource · Verified Sep 5, 2026
  • Customizable roadmap templatesSource · Verified Sep 5, 2026
  • Timeline & column-based roadmapsSource · Verified Sep 5, 2026
  • AI chatSource · Verified Sep 5, 2026
  • Feedback summariesSource · Verified Sep 5, 2026
  • AI Findings and OpportunitiesSource · Verified Sep 5, 2026
  • Comprehensive feedback reportsSource · Verified Sep 5, 2026
  • Scheduled tasksSource · Verified Sep 5, 2026
  • SkillsSource · Verified Sep 5, 2026
  • Customer boardsSource · Verified Sep 5, 2026
  • Feedback formsSource · Verified Sep 5, 2026

Integrations

  • ConfluenceSource · Verified Sep 5, 2026
  • JiraSource · Verified Sep 5, 2026
  • Azure DevOpsSource · Verified Sep 5, 2026
  • SalesforceSource · Verified Sep 5, 2026
  • AmplitudeSource · Verified Sep 5, 2026
  • MixpanelSource · Verified Sep 5, 2026
  • Google DriveSource · Verified Sep 5, 2026
  • NotionSource · Verified Sep 5, 2026
  • FigmaSource · Verified Sep 5, 2026
  • MiroSource · Verified Sep 5, 2026
  • MuralSource · Verified Sep 5, 2026
  • GongSource · Verified Sep 5, 2026

Platforms

  • APISource · Verified Sep 5, 2026
  • Chrome extensionSource · Verified Sep 5, 2026

Pricing

  • Plus: $25 a monthSource · Verified Sep 5, 2026
  • FreeSource · Verified Sep 5, 2026
  • Business: $75 a monthSource · Verified Sep 5, 2026

Canny vs Productboard — FAQ

Does AI recommend Canny or Productboard more?

Productboard is recommended more often: it appears in 0.5% of sampled AI answers versus 0.4% for Canny, measured across the live AI engines over a rolling 4-week window.

How much do Canny and Productboard cost?

Canny: Pro: $79 a month (free tier available). Productboard: Plus: $25 a month (free tier available). Pricing is sourced from each vendor's own page and re-verified periodically.

Which AI engines were used to compare Canny and Productboard?

Recommendation share is measured on CLAUDE, GEMINI, GROK, CHATGPT, PERPLEXITY using neutral, buyer-shaped prompts (no product names), aggregated over a 4-week rolling window. See the methodology for prompt design and sample sizes.

Own one of these products? Claim your profile to keep its facts accurate.

Recommendation share and entity resolution follow the Index methodology. Facts are sourced from each vendor's own pages and re-verified periodically. Customer status does not affect measurement. Free to use with attribution to orbator.io.

[ORBATOR]

© 2026 Orbator. All rights reserved.