# LearnUpon vs WorkRamp: which do AI models recommend for customer education, September 2026

GTM AI Recommendation Index, September 2026 Edition, Customer education and LMS. Three of twelve models named LearnUpon first on the direct prompt; two named WorkRamp. Page: https://gtm-ai-index.com/customer/customer-education-and-lms/learnupon-vs-workramp/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| LearnUpon | 21% | #2 of 13 | 5% | 43 | 12 of 12 |
| WorkRamp | 7% | #4 of 13 | 27% | 26 | 10 of 12 |

## The direct prompt, model by model

- Perplexity Sonar: learnupon first (first choices: LearnUpon) (alternatives: Docebo, Gainsight Customer Education, Skilljar, WorkRamp)
- Mistral Small: learnupon first (first choices: LearnUpon) (alternatives: Absorb LMS, LearnWorlds, TalentLMS)
- GLM 4.7 FlashX: learnupon first (first choices: LearnUpon) (alternatives: Absorb LMS, Beetsol, LearnWorlds, TalentLMS)
- Kimi K2: workramp first (first choices: Gainsight Customer Education, WorkRamp) (alternatives: LearnUpon, Skilljar)
- MiniMax M2.5: workramp first (first choices: Skilljar, WorkRamp) (alternatives: Gainsight Customer Education, LearnWorlds, TalentLMS)
- GPT-5.4 mini: neither first, one named (first choices: Docebo) (alternatives: Absorb, LearnUpon, Skilljar, TalentLMS)
- Gemini 3.5 Flash: neither first, one named (first choices: Skilljar) (alternatives: Gainsight Customer Education, LearnUpon, TalentLMS, Thought Industries, WorkRamp)
- Grok 4.1 Fast: neither first, one named (first choices: Skilljar) (alternatives: Absorb LMS, LearnUpon, LearnWorlds, TalentLMS, WorkRamp)
- DeepSeek V4 Flash: neither first, one named (first choices: Gainsight Customer Education) (alternatives: LearnUpon, LearnWorlds, WorkRamp)
- Qwen 3.7 Flash: neither first, one named (first choices: Skilljar) (alternatives: Absorb LMS, LearnUpon, TalentLMS, Thinkific, WorkRamp)
- Claude Haiku 4.5: neither named (first choices: Skilljar) (alternatives: Gainsight Customer Education, Thought Industries)
- Llama 4 Maverick: neither named

## What the models said about LearnUpon

- "Avoid enterprise tools (Skilljar, Docebo, LearnUpon, Thought Industries)" (DeepSeek V4 Flash, budget prompt, hard negative)
- "No native content authoring ... Per-portal pricing adds up" (Kimi K2, negative prompt, soft negative)
- "my default recommendation would be LearnUpon if your main goal is customer training / extended enterprise learning" (GPT-5.4 mini, paraphrase prompt, first choice)
- "A very popular mid-market choice with excellent multi-tenant "portal" features" (Gemini 3.5 Flash, scale prompt, first choice)
- "I'd recommend LearnUpon as the safest all-around choice" (Perplexity Sonar, paraphrase prompt, first choice)

## What the models said about WorkRamp

- "WorkRamp, listed in several rival roundups, currently redirects to a different company's product page (Confirm's "Learn:Up"), which fails identity-verification standards." (Claude Haiku 4.5, negative prompt, hard negative)
- "Weak and inflexible reporting - Most common complaint; "not very robust," hard to use" (Kimi K2, negative prompt, hard negative)
- "Proceed with Caution: WorkRamp ... its acquisition by Learning Pool has introduced transition uncertainty" (Gemini 3.5 Flash, negative prompt, soft negative)
- "Tier 2: The Mid-Market All-Rounders (Highly recommended for 500-person companies)... WorkRamp: An exceptional "hybrid" LMS." (Gemini 3.5 Flash, scale prompt, first choice)
- "For most mid-market B2B companies, Skilljar, WorkRamp, or Northpass ... would be the strongest choices" (MiniMax M2.5, direct prompt, first choice)
- "For most mid-market B2B SaaS companies, Northpass or WorkRamp hit the sweet spot" (Kimi K2, direct prompt, first choice)

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve models, for a mid-market B2B company; rank is within the category. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.