CoreCyber
Strongest at small business. Thin evidence at mid-market: three labels.
The standing depends on who is buying. Every model is asked the same questions for each company size.
FairCRQ is first at 35%.
CyberSaint CyberStrong is first at 13%. 0 of 14 models made it the first choice when asked directly.
SAFE Security is first at 48%.
Why models recommend it
“$0 | CoreCyber Starter (free tier) or Open-source FAIR models”Kimi K2 · Budget-constrained question · first choice
“For a small budget under $300/month, CoreCyber Starter offers a structured platform with compliance features.”MiniMax M2.5 · Budget-constrained question · alternative
What gives them pause
No model argued against it.
Also on the shortlist
The products named in the same answers as CoreCyber, over the 25 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 13 | 1 | View → | |
| 12 | 1 | View → | |
| 12 | 0 | View → | |
| 10 | 6 | View → | |
| 9 | 0 | View → | |
| 8 | 0 | View → | |
| 8 | 0 | View → | |
| 6 | 0 | View → | |
| 6 | 0 | View → | |
| 3 | 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 25 of the 25 answers that named CoreCyber and are not a share of its labels.
Domains cited
Ninety-six of the 133 domain citations in answers naming CoreCyber came from a third party's page. Twelve 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 | 0 | 0 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 1 | 0 | 1 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 1 | 0 | 0 | 0 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |