Mojo
Gane, the publisher, sells software in AI marketing agents, where this product is measured. It is measured there by the same method as every other product. How the conflict is handled.
Named, too few times to rank.
A product needs 10 labels in a category before a share is stated. Mojo has 2.
Why models recommend it
“Need autonomous paid-campaign optimization: evaluate Mojo, but keep human approval”Perplexity Sonar · Paraphrase question · alternative
What gives them pause
“overly niche ones like Mojo (real estate-focused)”Grok 4.20 · Paraphrase question · warning
Also on the shortlist
The products named in the same answers as Mojo, over the 7 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 5 | 3 | View → | |
| 5 | 2 | View → | |
| 4 | 1 | View → | |
| 4 | 0 | View → | |
| 4 | 0 | View → | |
| 3 | 1 | View → | |
| 3 | 0 | View → | |
| 3 | 0 | View → | |
| 2 | 1 | View → | |
| 2 | 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 7 of the 7 answers that named Mojo and are not a share of its labels.
Domains cited
No domain is on file for Mojo, so its own site is not marked.
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 | 1 | 0 | 0 | 1 |
| Grok 4.20 | 0 | 0 | 0 | 1 | 1 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| 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 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |