Postiv
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.
Strongest at small business. Thin evidence at enterprise: one label.
The standing depends on who is buying. Every model is asked the same questions for each company size.
Vulse is first at 31%.
Oktopost is first at 31%. 1 of 14 models made it the first choice when asked directly.
EveryoneSocial is first at 39%.
Why models recommend it
“the best tool for employees to share company content on social media for a mid-sized B2B company would be Postiv, Ambassify, or GetViews.AI”Llama 4 Maverick · Paraphrase question · first choice
“Top Recommendation for Flexibility: Postiv ... frequently ranks as the top choice for teams of up to 200 people”Qwen 3.7 Flash · Budget-constrained question · first choice
“Postiv is our #1 pick for companies up to about 200 people and for agencies.”Muse Glimmer 30B · Direct question · first choice
“For a more comprehensive solution as your program grows, consider Postiv after testing their free trial.”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 Postiv, over the 32 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 19 | 2 | Compare → | |
| 18 | 5 | Compare → | |
| 17 | 3 | Compare → | |
| 16 | 0 | Compare → | |
| 14 | 4 | Compare → | |
| 13 | 0 | View → | |
| 13 | 0 | Compare → | |
| 12 | 0 | View → | |
| 9 | 0 | View → | |
| 9 | 0 | View → |
What the models named instead of Postiv →
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 32 of the 32 answers that named Postiv and are not a share of its labels.
Domains cited
106 of the 138 domain citations in answers naming Postiv 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 | 2 | 1 | 0 | 3 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 1 | 0 | 1 | 0 | 2 |
| Qwen 3.7 Flash | 1 | 0 | 0 | 0 | 1 |
| Kimi K2 | 0 | 1 | 0 | 0 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 2 | 0 | 0 | 2 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 1 | 1 | 0 | 0 | 2 |