A product needs 10 labels in a category before a share is stated. gosec has 8.
“Gosec (Go) — when kept updated and integrated thoughtfully into CI”Gemini 3.5 Flash · Negative question · alternative
“For language-specific needs, consider Bandit or gosec.”Mistral Small · Budget-constrained question · alternative
“Lightweight and focused on Go security issues. | Narrow scope”Grok 4.20 · Budget-constrained question · alternative
“Good lightweight complements for Python or Go projects”Perplexity Sonar · Budget-constrained question · alternative
No model argued against it.
The products named in the same answers as gosec, over the 17 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 17 | 16 | View → | |
| 17 | 0 | View → | |
| 17 | 0 | View → | |
| 14 | 0 | View → | |
| 10 | 0 | View → | |
| 8 | 0 | View → | |
| 6 | 0 | View → | |
| 6 | 0 | View → | |
| 5 | 0 | View → | |
| 4 | 0 | View → |
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 13 of the 17 answers that named gosec and are not a share of its labels.
No domain is on file for gosec, so its own site is not marked.
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 | 2 | 0 | 0 | 2 |
| Perplexity Sonar | 0 | 1 | 0 | 0 | 1 |
| Grok 4.20 | 0 | 1 | 0 | 0 | 1 |
| Mistral Small | 0 | 1 | 0 | 0 | 1 |
| 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 | 0 | 0 | 0 | 0 | 0 |
| 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 | 1 | 0 | 0 | 1 |