← AI Recommendation IndexOpen Data · Rolling 4-week window

Canvas vs LearnUpon

A fact-by-fact comparison of Canvas and LearnUpon — 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

Canvas

0.3%

LearnUpon

0.1%

GEMINI

Canvas

0.6%

LearnUpon

0.7%

GROK

Canvas

0.6%

LearnUpon

0.6%

CHATGPT

Canvas

0.3%

LearnUpon

0.5%

PERPLEXITY

Canvas

0.3%

LearnUpon

0.2%

The facts — sourced & dated

instructure.com

Features

  • Assessment scoresSource · Verified Sep 5, 2026
  • Canvas ArchivingSource · Verified Sep 5, 2026

Integrations

  • ParchmentSource · Verified Sep 5, 2026
  • K16 SolutionsSource · Verified Sep 5, 2026
  • MasterySource · Verified Sep 5, 2026

Platforms

  • WebSource · Verified Sep 5, 2026
learnupon.com

Features

  • Ask Lia AI-Powered AssessmentsSource · Verified Sep 5, 2026
  • Reporting & AnalyticsSource · Verified Sep 5, 2026
  • Single Sign-On (SSO)Source · Verified Sep 5, 2026
  • White LabellingSource · Verified Sep 5, 2026
  • eCommerceSource · Verified Sep 5, 2026
  • Create+Source · Verified Sep 5, 2026
  • Learning JourneysSource · Verified Sep 5, 2026
  • Certification & Re-certificationSource · Verified Sep 5, 2026
  • GamificationSource · Verified Sep 5, 2026

Integrations

  • HubSpotSource · Verified Sep 5, 2026
  • ZapierSource · Verified Sep 5, 2026
  • SalesforceSource · Verified Sep 5, 2026

Canvas vs LearnUpon — FAQ

Does AI recommend Canvas or LearnUpon more?

Across the AI engines the Index measures, Canvas and LearnUpon are recommended about equally — roughly 0.4% of sampled answers each over the last 4 weeks.

Which AI engines were used to compare Canvas and LearnUpon?

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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