Fogger
Named, too few times to rank.
A product needs 10 labels in a category before a share is stated. Fogger has 4.
Why models recommend it
No positive label carried a quote.
What gives them pause
“Designed for basic GDPR compliance but limited in scope; not suitable for production-scale or dynamic masking.”Grok 4.20 · Negative question · warning
“Received a high negative rating in small business evaluations.”Mistral Small · Negative question · warning
“Caution level: High — Consider avoiding entirely”DeepSeek V4 Flash · Negative question · warning
“Open-source data masking tools such as Fogger, Masked-AI, and Percona Server - as they may not provide the level of functionality and reliability required by enterprises.”Llama 4 Maverick · Negative question · warning
Also on the shortlist
The products named in the same answers as Fogger, over the 17 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 9 | 2 | View → | |
| 9 | 0 | View → | |
| 9 | 0 | View → | |
| 7 | 0 | View → | |
| 6 | 0 | View → | |
| 6 | 0 | View → | |
| 5 | 0 | View → | |
| 4 | 1 | View → | |
| 4 | 0 | View → | |
| 4 | 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 17 answers that named Fogger and are not a share of its labels.
Domains cited
No domain is on file for Fogger, so its own site is not marked. Ten were to the publisher's own pages (the Gane Index), which the models cite like any other source; they are not counted as a third party.
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 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 0 | 1 | 1 |
| Mistral Small | 0 | 0 | 0 | 1 | 1 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 1 | 1 |
| Llama 4 Maverick | 0 | 0 | 0 | 1 | 1 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| 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 | 0 | 0 | 0 | 0 |