← AI Recommendation IndexOpen Data · Rolling 4-week window

Cornerstone vs Open edX

A fact-by-fact comparison of Cornerstone and Open edX — 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

Cornerstone

0.2%

Open edX

0.2%

GEMINI

Cornerstone

0.4%

Open edX

0.6%

GROK

Cornerstone

0.6%

Open edX

0.6%

CHATGPT

Cornerstone

0.3%

Open edX

0.3%

PERPLEXITY

Cornerstone

0.2%

Open edX

0.3%

The facts — sourced & dated

cornerstoneondemand.com

Features

  • Mobile learningSource · Verified Sep 5, 2026
  • Content managementSource · Verified Sep 5, 2026
  • Personalized learning pathsSource · Verified Sep 5, 2026
  • Centralized content and dataSource · Verified Sep 5, 2026
  • Compliance made simpleSource · Verified Sep 5, 2026
  • Advanced analytics and reportingSource · Verified Sep 5, 2026
  • AI based learningSource · Verified Sep 5, 2026
  • VR training with AI assistanceSource · Verified Sep 5, 2026

Integrations

  • SalesforceSource · Verified Sep 5, 2026
  • WorkdaySource · Verified Sep 5, 2026
  • Microsoft TeamsSource · Verified Sep 5, 2026

Platforms

  • AndroidSource · Verified Sep 5, 2026
  • iOSSource · Verified Sep 5, 2026
openedx.org

Features

  • self-paced learningSource · Verified Sep 5, 2026
  • interactive discussionsSource · Verified Sep 5, 2026
  • assessmentsSource · Verified Sep 5, 2026
  • analytics and reportingSource · Verified Sep 5, 2026
  • self-service registrationSource · Verified Sep 5, 2026

Integrations

  • XBlockSource · Verified Sep 5, 2026

Cornerstone vs Open edX — FAQ

Does AI recommend Cornerstone or Open edX more?

Open edX is recommended more often: it appears in 0.4% of sampled AI answers versus 0.3% for Cornerstone, measured across the live AI engines over a rolling 4-week window.

Which AI engines were used to compare Cornerstone and Open edX?

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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