Zero of fourteen models named Smartly first on the direct prompt; zero named LinkedIn Campaign Manager. Smartly was named by twelve of the fourteen models and LinkedIn Campaign Manager by nine and Smartly carries 20 labels and LinkedIn Campaign Manager 12, so the shares are not directly comparable.
Named in three categories this edition.
By LinkedIn, Sunnyvale, United States, founded 2002. Named in eight categories this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the search and social advertising platforms page.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.1 Fast | ||||||
| Mistral Small | ||||||
| DeepSeek V4 Flash | ||||||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | ||||||
| Kimi K2 | ||||||
| GLM 4.7 FlashX | ||||||
| MiniMax M2.5 | ||||||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B |
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“Smartly.io: Social-first (Meta/TikTok/LinkedIn) with AI creative; scales to search. Ideal for visual/brand campaigns.” Grok 4.1 Fast · scale prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“I'd recommend using LinkedIn Campaign Manager as your primary paid social tool” MiniMax M2.5 · paraphrase prompt · first choice
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.