A product needs 10 labels in a category before a share is stated. Orshot has 4.
“If you need the most budget-friendly option, start with The Brief or Orshot.”Mistral Small · Budget-constrained question · first choice
“Orshot — Best Overall for Visual Automation ... Start with Orshot's free tier”GLM 4.7 FlashX · Budget-constrained question · first choice
“Start with Orshot free tier then $39/mo, or The Brief from $29/mo yearly.”Muse Glimmer 30B · Budget-constrained question · first choice
“Best for API-Driven Teams: Orshot”Qwen 3.7 Flash · Budget-constrained question · alternative
No model argued against it.
The products named in the same answers as Orshot, over the 9 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 6 | 3 | View → | |
| 4 | 1 | View → | |
| 4 | 0 | View → | |
| 4 | 0 | View → | |
| 3 | 0 | View → | |
| 3 | 0 | View → | |
| 3 | 0 | View → | |
| 3 | 0 | View → | |
| 3 | 0 | View → | |
| 3 | 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 9 of the 9 answers that named Orshot and are not a share of its labels.
Thirty-four of the forty-three domain citations in answers naming Orshot 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 | 0 | 0 | 0 | 0 |
| Mistral Small | 1 | 0 | 0 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 0 | 1 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 1 | 0 | 0 | 0 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 1 | 0 | 0 | 0 | 1 |