Skype
Named, too few times to rank.
A product needs 10 labels in a category before a share is stated. Skype has 9.
Why models recommend it
No positive label carried a quote.
What gives them pause
“Skype has been relegated to legacy status. It lacks the seamless integration and security polish of its competitors.”Qwen 3.7 Flash · Negative question · warning
“Skype or Skype for Business where strong confidentiality is required. Encryption is configurable or provider-mediated rather than end-to-end”Perplexity Sonar · Negative question · warning
“Skype (Microsoft) and Google Meet (Google) comply with US legal requests, which may be a concern for highly sensitive communications.”MiniMax M2.5 · Negative question · warning
“Poor privacy policy with extensive data collection... Better for casual use but avoid for sensitive discussions.”Grok 4.20 · Negative question · warning
Also on the shortlist
The products named in the same answers as Skype, over the 22 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 19 | 1 | View → | |
| 16 | 2 | View → | |
| 16 | 2 | View → | |
| 7 | 1 | View → | |
| 7 | 0 | View → | |
| 6 | 0 | View → | |
| 5 | 4 | View → | |
| 5 | 1 | View → | |
| 5 | 0 | View → | |
| 5 | 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 17 of the 22 answers that named Skype and are not a share of its labels.
Domains cited
No domain is on file for Skype, so its own site is not marked.
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 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 1 | 1 |
| Grok 4.20 | 0 | 0 | 0 | 1 | 1 |
| 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 | 1 | 2 | 3 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 2 | 0 | 2 |
| MiniMax M2.5 | 0 | 0 | 0 | 1 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 1 | 1 |