Who do AI assistants recommend for AI tools for teachers and educators?
Generated 2026-07-10 · window 2026-06-12 → 2026-07-10 (28 days) · n = 226 sampled answers across 5 engines
Key findings
- AI engines named 222 distinct businesses/products for this niche in 28 days (across 226 sampled answers) — but recommendations concentrate hard on the top of that list (see the share table below).
- The #1 answer ("ChatGPT") appears in 31% of sampled answers (70 of 226 answers), recommended by 5 of 5 engines measured.
- 68.9% of everything AI recommends here is named by only ONE engine (153 of the 222 distinct entities recommended in the window) — the engines materially disagree.
- The most-cited source for this niche is edcafe.ai — it backs 61 of the 226 sampled answers (27%).
Top 5 most-recommended
| # | Name | Share of answers | Answers | Avg. list position | Engine agreement |
|---|---|---|---|---|---|
| 1 | ChatGPT (openai.com) | 31% | 70/226 | 7 | 5/5 |
| 2 | MagicSchool (magicschool.ai) | 29.2% | 66/226 | 2.8 | 5/5 |
| 3 | NotebookLM (notebooklm.google.com) | 24.8% | 56/226 | 5.2 | 5/5 |
| 4 | Eduaide (eduaide.ai) | 23.5% | 53/226 | 3.7 | 3/5 |
| 5 | Canva Magic Studio (canva.com) | 20.8% | 47/226 | 5.3 | 4/5 |
Share = % of all 226 sampled answers in the window that recommend the entity. Engine agreement = engines recommending it at least once / engines measured.
Engine disagreement
Across the 5 engines measured (Claude (Anthropic), Gemini (Google), Grok (xAI), ChatGPT (OpenAI) and Perplexity), 222 distinct entities were recommended at least once. 153 of them (68.9%) were named by only a single engine (n = 222 entities). Ask a different AI, get a different answer.
What AI reads: most-cited sources
143 of 226 sampled answers cited at least one source.
| Source | Citations | Answers citing it | % of answers |
|---|---|---|---|
| edcafe.ai | 78 | 61/226 | 27% |
| reddit.com | 63 | 63/226 | 27.9% |
| edutopia.org | 53 | 53/226 | 23.5% |
| eduaide.ai | 50 | 50/226 | 22.1% |
| youtube.com | 50 | 49/226 | 21.7% |
| schoolai.com | 43 | 42/226 | 18.6% |
| guides.lib.purdue.edu | 42 | 42/226 | 18.6% |
| facebook.com | 39 | 39/226 | 17.3% |
| monsha.ai | 38 | 32/226 | 14.2% |
| ditchthattextbook.com | 36 | 36/226 | 15.9% |
Chart data
Methodology
Sampled from the Orbator AI Recommendation Index: 226 answers collected 2026-06-12 → 2026-07-10 (28 days) across Claude (Anthropic) (n = 63), Gemini (Google) (n = 2), Grok (xAI) (n = 7), ChatGPT (OpenAI) (n = 77), Perplexity (n = 77) via their official APIs, with web search enabled where the engine supports it.
| Category sampled | n (answers) | Note |
|---|---|---|
| AI tools for teachers and educators | 226 |
- Prompt design. Each category carries buyer-shaped prompts — the questions real buyers type ("best [category] for [audience]", "what should I use for [job]"). Prompts are strictly neutral: they never contain product or business names and never steer toward or away from anyone.
- Entity resolution. Every business/product named in an answer is extracted and resolved against a canonical registry, so name variants and domains count as one entity. Generic phrases are filtered and never become entities; suspected duplicates are human-reviewed.
- "Known" entities. The never-recommended stat counts every canonical entity the Index has ever extracted from this niche's answers (all time) and asks how many were not named even once inside the study window.
- Minimum sample. Categories with fewer than 20 sampled answers in the window are marked as small samples and should be treated as directional, not ranked — we publish stable numbers, not noise.
- Independence. Orbator sells AI-visibility tooling; measurement is identical for every business and product, customer or not. Rankings cannot be bought.
Full methodology: https://www.orbator.io/ai-index/methodology · Data © Orbator — free to cite with attribution to orbator.io.