← AI Recommendation IndexOpen Data · Rolling 4-week window

Dovetail vs Productboard

A fact-by-fact comparison of Dovetail 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

Dovetail

0.4%

Productboard

0.5%

GEMINI

Dovetail

0.5%

Productboard

0.5%

GROK

Dovetail

0.8%

Productboard

0.4%

CHATGPT

Dovetail

0.3%

Productboard

0.5%

PERPLEXITY

Dovetail

0.4%

Productboard

0.3%

The facts — sourced & dated

dovetail.com

Features

  • Highlight reelsSource · Verified Sep 5, 2026
  • AI ChatSource · Verified Sep 5, 2026
  • AI DashboardsSource · Verified Sep 5, 2026
  • AI AgentsSource · Verified Sep 5, 2026
  • AI DocsSource · Verified Sep 5, 2026
  • AI translationSource · Verified Sep 5, 2026
  • AI clusteringSource · Verified Sep 5, 2026
  • Calendar syncSource · Verified Sep 5, 2026
  • SearchSource · Verified Sep 5, 2026
  • ContactsSource · Verified Sep 5, 2026
  • Bulk importSource · Verified Sep 5, 2026
  • Data redactionSource · Verified Sep 5, 2026

Integrations

  • ChatGPTSource · Verified Sep 5, 2026
  • FigmaSource · Verified Sep 5, 2026
  • MakeSource · Verified Sep 5, 2026
  • AlloySource · Verified Sep 5, 2026
  • Salesforce CRMSource · Verified Sep 5, 2026
  • HubSpot CRMSource · Verified Sep 5, 2026
  • SlackSource · Verified Sep 5, 2026
  • TeamsSource · Verified Sep 5, 2026
  • ClaudeSource · Verified Sep 5, 2026
  • CopilotSource · Verified Sep 5, 2026

Pricing

  • FreeSource · Verified Sep 5, 2026
productboard.com

Features

  • 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
  • Timeline & column-based roadmapsSource · Verified Sep 5, 2026
  • Customizable roadmap templatesSource · Verified Sep 5, 2026
  • Release planningSource · Verified Sep 5, 2026
  • Custom prioritization formulasSource · Verified Sep 5, 2026

Integrations

  • 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
  • ConfluenceSource · 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

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

Pricing

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

Dovetail vs Productboard — FAQ

Does AI recommend Dovetail or Productboard more?

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

How much do Dovetail and Productboard cost?

Dovetail: Free. 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 Dovetail 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.

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