A product needs 10 labels in a category before a share is stated. Cisco Duo ITDR has 4.
“Cisco Duo is a strong contender... Cons: It is generally more expensive per user than Huntress”GLM 4.7 FlashX · Budget-constrained question · alternative
“explore Wiz, Exaforce, or Duo/Okta for identity-specific risk engines”Grok 4.20 · Negative question · alternative
“Described as "firewall-like" — good at prevention but limited post-breach detection”Kimi K2 · Negative question · warning
The products named in the same answers as Cisco Duo ITDR, over the 10 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 9 | 7 | View → | |
| 6 | 0 | View → | |
| 3 | 0 | View → | |
| 2 | 0 | View → | |
| 2 | 0 | View → | |
| 2 | 0 | View → | |
| 2 | 0 | View → | |
| 2 | 0 | View → | |
| 2 | 0 | View → | |
| 1 | 1 | View → |
A side-by-side page exists where both products are among a category's top eight.
Stated on Cisco Duo ITDR's own site, not checked by Gane.
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 →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 10 of the 10 answers that named Cisco Duo ITDR and are not a share of its labels.
Fifty-eight of the fifty-eight domain citations in answers naming Cisco Duo ITDR came from a third party's page.
Pages are listed as the models cited them.
| 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 | 1 | 0 | 0 | 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 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 0 | 1 | 1 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 0 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 1 | 0 | 1 |