Oak Engage
Named, too few times to rank.
A product needs 10 labels in a category before a share is stated. Oak Engage has 8.
Why models recommend it
“Oak Engage is particularly suited to organizations that need one intranet for frontline, desk-based and remote employees”Claude Haiku 4.5 · Comparative question · alternative
“Connecting frontline & desk-based workforces. Mobile intranet, AI search, personalized engagement, App Launcher.”Muse Glimmer 30B · Comparative question · alternative
What gives them pause
No model argued against it.
Also on the shortlist
The products named in the same answers as Oak Engage, over the 22 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 17 | 1 | View → | |
| 15 | 0 | View → | |
| 14 | 1 | View → | |
| 12 | 0 | View → | |
| 10 | 4 | View → | |
| 10 | 1 | View → | |
| 9 | 2 | View → | |
| 9 | 1 | View → | |
| 8 | 0 | View → | |
| 8 | 0 | View → |
A side-by-side page exists where both products are among a category's top eight.
How this is measured
Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.
Gane sells AI visibility software. No company can pay to change a result.
Read the method →Sources returned with these answers
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 22 of the 22 answers that named Oak Engage and are not a share of its labels.
Domains cited
Fifty-two of the seventy-two domain citations in answers naming Oak Engage came from a third party's page.
Pages cited
Pages are listed as the models cited them.
By model
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 2 | 0 | 2 |
| Grok 4.20 | 0 | 0 | 1 | 0 | 1 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 1 | 0 | 1 |
| Llama 4 Maverick | 0 | 0 | 1 | 0 | 1 |
| Qwen 3.7 Flash | 0 | 0 | 1 | 0 | 1 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 1 | 0 | 0 | 1 |