Two of twelve models named StackAdapt first on the direct prompt; seven named LinkedIn Campaign Manager. StackAdapt was named by twelve of the twelve models and LinkedIn Campaign Manager by nine and StackAdapt carries 31 labels and LinkedIn Campaign Manager 12, so the shares are not directly comparable.
Named in nine 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 twelve 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 video advertising page.
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.
No label in this category carried a quote.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“Usually not best for a limited budget because it tends to be expensive, but useful for B2B.” GPT-5.4 mini · budget prompt · soft negative
“If your target audience is highly niche and requires exact title targeting, start with LinkedIn Video Ads.” Gemini 3.5 Flash · direct prompt · first choice
“LinkedIn Ads (primary) + YouTube Ads (awareness) + StackAdapt (programmatic scale)” Kimi K2 · direct prompt · first choice
Comparisons are drawn for the top three products in each category. The output is the models' output; nothing here is a recommendation by the index.