The standing depends on who is buying. Every model is asked the same questions for each company size.
Juicebox is first at 18%.
Gem is first at 20%. 2 of 14 models made it the first choice when asked directly.
SeekOut is first at 21%.
“or Fetcher/Skima if you just need help finding candidates in your existing pipeline”Qwen 3.7 Flash · Budget-constrained question · first choice
“For most mid-market B2B companies, I recommend starting with Gem or Fetcher.”GLM 4.7 FlashX · Direct question · first choice
“likely to be one of the following: Findem, Gem, hireEZ, or Fetcher”Llama 4 Maverick · Direct question · first choice
“Fetcher, which takes the work out of sourcing entirely and is best for lean teams wanting delivered candidates”Llama 4 Maverick · Budget-constrained question · alternative
“note that it was reportedly retired in late 2026 per some sources—verify current status”Grok 4.20 · Direct question · warning
The products named in the same answers as Fetcher, over the 53 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 37 | 5 | Compare → | |
| 28 | 2 | View → | |
| 24 | 10 | Compare → | |
| 24 | 6 | Compare → | |
| 23 | 6 | View → | |
| 19 | 3 | Compare → | |
| 13 | 2 | View → | |
| 11 | 2 | Compare → | |
| 11 | 0 | View → | |
| 11 | 0 | View → |
What the models named instead of Fetcher →
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 43 of the 53 answers that named Fetcher and are not a share of its labels.
No domain is on file for Fetcher, 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 | 1 | 0 | 0 | 1 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 3 | 1 | 0 | 4 |
| Perplexity Sonar | 0 | 2 | 0 | 0 | 2 |
| Grok 4.20 | 0 | 0 | 0 | 1 | 1 |
| Mistral Small | 0 | 1 | 1 | 0 | 2 |
| DeepSeek V4 Flash | 0 | 2 | 0 | 0 | 2 |
| Llama 4 Maverick | 1 | 1 | 1 | 0 | 3 |
| Qwen 3.7 Flash | 1 | 1 | 1 | 0 | 3 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 1 | 0 | 1 | 0 | 2 |
| MiniMax M2.5 | 0 | 1 | 1 | 0 | 2 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 2 | 0 | 0 | 2 |