Three models, three leaders in e-learning platforms in Canada: Moodle in ChatGPT, Brightspace in Gemini, Canvas in Claude, across 36 answers
Canada · E-learning platformsLeer en español
Do ChatGPT, Gemini and Claude recommend the same brands?
In e-learning platforms in Canada, ChatGPT, Gemini and Claude name different leaders over the 4 weeks ending October 19, 2026: Moodle, Brightspace and Canvas. The most recommended brand depends on which engine the person asks.
Record figures
- Canvas
- 3.3%
- Answers naming the leader
- 22.2%
- Answers analysed
- 36
- Window
- 4-week window closed on October 19, 2026
- Models
- ChatGPT, Gemini, Claude
In e-learning platforms in Canada, each model points to a different name. ChatGPT names Moodle most often, Gemini names Brightspace and Claude names Canvas, across 36 answers in the 4-week window closed on October 19, 2026, with 12 answers per model. Brightspace holds the top share overall at 3.8% of mentions. Moodle follows at 3.3% and Canvas sits at the same level. Moodle appears in 22.2% of the answers, the same proportion as Brightspace, and Canvas shows up in fewer answers.
The top spot changes with the model consulted. Brightspace and Moodle appear in the same number of answers, and a brand sitting second in one model is first in another. For any other brand in the category the reference is a different leader in each model, with a narrow gap between the first and the second of the overall ranking. A position in this category today is a position in a given model, and the same category prompts return a different first name in ChatGPT, Gemini and Claude.
How I measured it
In the 4-week window closed on October 19, 2026 I gathered 36 answers from ChatGPT, Gemini and Claude about e-learning platforms in Canada. The public benchmark measures every week which brands ChatGPT, Gemini and Claude name across 20 markets and 15 industries, in Spanish and in English. The models are queried through their APIs and without web search. Every mention is counted against a curated brand registry, with whole-word matching. Every brand that appears in a Quick Insight has been reviewed by a person. A brand's mention share is its part of the category's verified mentions in the period. The 95% interval is the margin of error of the share, calculated with the Wilson method. I calculate it on mentions and on answers. I publish a lead as clear when the second brand's share falls outside the leader's interval in both calculations. Inside it, it is a statistical tie.
Scope of the data
The figure covers the e-learning platforms category in Canada, with prompts in English, on ChatGPT, Gemini and Claude, in the 4-week window closed on October 19, 2026; the models are queried through their APIs and without web search.
What to do with this figure
- Measure the brand with the same category prompts. Prompt Tracking runs prompts on the five engines.
- See which sources AI cites when it answers about the category. Prompt Tracking shows, for each prompt and model, the sources the answer cited, and AI Market Leaders groups them by brand.
- Review the site's technical signals with the GEO Score and the GEO Framework. The GEO Score scores the site from 0 to 100 on the four pillars of the GEO Framework. See Marco GEO
About AuraMetrics
AuraMetrics measures how a brand appears in AI answers and validates the technical implementation behind that presence. The GEO Score is calculated on the GEO Framework, a public four-pillar methodology. It analyzes the sources AI cites. It measures visibility in ChatGPT, Gemini, Google AI Mode, Perplexity and Claude. It checks whether a shopping agent can buy from a store, with UCP checks. It turns citation gaps into a content plan with drafts. It generates llms.txt, OKF and ARD files. It delivers shareable reports and runs as white label for agencies. It publishes a weekly benchmark across 20 markets and 15 industries, and the Observatory of brands in AI.