Evalart
Named, too few times to rank.
A product needs 10 labels in a category before a share is stated. Evalart has 5.
Why models recommend it
“If you want the absolute lowest cost per candidate, Evalart at $1 per test is a great choice.”Mistral Small · Budget-constrained question · alternative
“Evalart - Budget-friendly paid option”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 Evalart, over the 13 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 11 | 3 | View → | |
| 10 | 1 | View → | |
| 9 | 3 | View → | |
| 8 | 4 | View → | |
| 7 | 0 | View → | |
| 6 | 1 | View → | |
| 5 | 1 | 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.
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 13 of the 13 answers that named Evalart and are not a share of its labels.
Domains cited
Sixty-five of the sixty-five domain citations in answers naming Evalart came from a third party's page.
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 | 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 | 1 | 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 | 1 | 0 | 1 |