The standing depends on who is buying. Every model is asked the same questions for each company size.
Thinkst Canary is first at 53%.
Thinkst Canary is first at 56%.
Acalvio ShadowPlex is first at 61%.
“Deploy T-Pot for network deception (detects reconnaissance and lateral movement)”GLM 4.7 FlashX · Budget-constrained question · first choice
“T-Pot is the most comprehensive open-source platform available... Drawback: It is resource-heavy and complex to tune.”Qwen 3.7 Flash · Paraphrase question · alternative
“Requires significant technical resources to maintain; better suited for companies with security analysts”Kimi K2 · Paraphrase question · alternative
“Strong Open-Source Alternative (If Budget Is Tight): T-Pot + Canarytokens”Grok 4.20 · Paraphrase question · alternative
“Another platform that showed a 50% negative rate in the same study, suggesting significant user dissatisfaction.”GLM 4.7 FlashX · Negative question · warning
“50% negative rate specifically for small business deployments - High technical overhead and complexity”Kimi K2 · Negative question · warning
“Avoid starting with T-Pot unless the goal is a research or threat-intelligence honeynet”Perplexity Sonar · Paraphrase question · warning
“*(Note: requires 8–16 GB RAM and 128 GB storage.)*”DeepSeek V4 Flash · Budget-constrained question · warning
The products named in the same answers as T-Pot, over the 31 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 24 | 6 | View → | |
| 22 | 14 | View → | |
| 19 | 1 | View → | |
| 14 | 3 | View → | |
| 13 | 5 | View → | |
| 8 | 1 | View → | |
| 6 | 0 | View → | |
| 4 | 0 | View → | |
| 4 | 0 | View → | |
| 4 | 0 | View → |
What the models named instead of T-Pot →
A side-by-side page exists where both products are among a category's top eight.
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 28 of the 31 answers that named T-Pot and are not a share of its labels.
No domain is on file for T-Pot, so its own site is not marked. Thirteen 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 are listed as the models cited them.
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 1 | 0 | 2 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 1 | 1 |
| Perplexity Sonar | 0 | 0 | 0 | 1 | 1 |
| Grok 4.20 | 0 | 1 | 0 | 0 | 1 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 1 | 0 | 1 | 2 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 0 | 1 |
| Kimi K2 | 0 | 1 | 0 | 1 | 2 |
| GLM 4.7 FlashX | 1 | 0 | 0 | 1 | 2 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 2 | 0 | 0 | 2 |