StackAdapt vs MGID
Twelve of fourteen models named StackAdapt first on the direct prompt; zero named MGID. Both were named by all fourteen models and StackAdapt carries 41 labels and MGID 46, so the shares are not directly comparable.
Named in eight categories this edition.
Named in two 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 native and content advertising page.
By framing
StackAdaptFirst choices, of fourteen modelsMGID
Across every category in the October 2026 Edition, StackAdapt and MGID were named in the same answer fifty times, of the 388 answers naming StackAdapt and the 112 naming MGID. In those answers MGID took the first choice nine times and StackAdapt nine.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | | | ||
| GPT-5.4 mini | | | | |||
| Gemini 3.5 Flash | | | | | ||
| Perplexity Sonar | | | | | ||
| Grok 4.20 | | | | | | |
| 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 | | | | | | |
StackAdapt MGID first choice named as an alternative argued againstblank: not namedEach cell is one answer, StackAdapt on the left and MGID on the right.The direct prompt
StackAdapt first, MGID not the choice
12 of 14 modelsMGID was named in the answer but not as the choice, or not at all.Neither was named
2 of 14 modelsThe answer made no first choice from these two in this category.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.
By buyer segment
StackAdapt41%#1 of 9MGID12%#3 of 9StackAdapt18%#2 of 10MGID2%#8 of 10What the models said about StackAdapt
No label in this category carried a quote.
What the models said about MGID
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“What I'd Avoid or Use with Caution - MGID – Heavy entertainment/clickbait inventory” DeepSeek V4 Flash · paraphrase prompt · hard negative
“High-volume, low-CPC affiliate-style networks such as MGID and RichAds: ... they can need substantial filtering to avoid invalid traffic and low-quality placements.” Perplexity Sonar · negative prompt · soft negative
“Many advertisers limit MGID, Revcontent and similar performance networks to direct-response use cases with strict creative compliance” Muse Glimmer 30B · negative prompt · soft negative
“For the tightest budget, MGID appears to be the best starting point due to its lower CPCs and accessibility for beginners.” MiniMax M2.5 · budget prompt · first choice
“The Overall Best Choice: MGID ... most accessible and cost-effective native ad network for small businesses” Gemini 3.5 Flash · budget prompt · first choice
“MGID stands out as the best native advertising platform for companies with a limited budget.” Grok 4.20 · budget 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.