In-app messaging and customer communications · Named, not rankedNamed, too few times to rank.
A product needs 10 labels in a category before a share is stated. WeChat has 3.
Why models recommend it
No positive label carried a quote.
What gives them pause
“WeChat is among the apps exceeding the average data collection, gathering 22 out of 35 data types”Claude Haiku 4.5 · Negative question · warning
“Targeted by a zero-click worm (WeWorm) spreading between iOS and Android via calls.”GLM 4.7 FlashX · Negative question · warning
“To Avoid Completely: ... and WeChat (if privacy/liberty is a concern)”Qwen 3.7 Flash · Negative question · warning
Also on the shortlist
The products named in the same answers as WeChat, over the 8 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 7 | 0 | View → | |
| 6 | 0 | View → | |
| 5 | 3 | View → | |
| 4 | 1 | View → | |
| 4 | 1 | View → | |
| 4 | 0 | View → | |
| 3 | 1 | View → | |
| 3 | 0 | View → | |
| 2 | 1 | View → | |
| 2 | 1 | View → |
A side-by-side page exists where both products are among a category's top eight.
At a glance
Stated on WeChat's own site, not checked by Gane.
- Founded
- 2011
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 8 of the 8 answers that named WeChat and are not a share of its labels.
Domains cited
Twenty-two of the twenty-two domain citations in answers naming WeChat 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 | 0 | 0 | 1 | 1 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 1 | 1 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 1 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |