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Native and content advertising · September 2026 Edition

StackAdapt vs MGID

Seven of twelve models named StackAdapt first on the direct prompt; zero named MGID. Both were named by all twelve models and StackAdapt carries 40 labels and MGID 47, so the shares are not directly comparable.

StackAdapt

accepted challenger

Named in nine categories this edition.

MGID

accepted challenger

Named in two categories this edition.

First-choice share23%20%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate5%21%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#2A position in a field of 8; printed, not drawn.
Labels4047A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, StackAdapt reading right to left. Rank and label count are printed, not drawn.Revcontent was named alongside these two in nine of the twelve direct answers. StackAdapt vs Teads · MGID vs Teads

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 native and content advertising page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
StackAdaptFirst choices, of twelve modelsMGID
Direct70
Paraphrase201 against MGID
Comparative10
Budget-constrained092 against StackAdapt
Scale-constrained10
Negative409 against MGID
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

The direct prompt

The plain question, one answer per model, grouped by where StackAdapt and MGID stood in it.

StackAdapt first, MGID an alternative

7 of 12 modelsMGID was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashStackAdapt alternatives: AdRoll ABM, Dianomi, LinkedIn Sponsored Content, Taboola, Teads
Perplexity SonarStackAdapt alternatives: LinkedIn Ads/Campaign Manager, MGID, Nativo, Revcontent, Taboola, Teads
Mistral SmallStackAdapt alternatives: MGID, Revcontent, Teads
DeepSeek V4 FlashStackAdapt alternatives: MGID, Revcontent, Taboola, Teads
Kimi K2StackAdapt alternatives: AdRoll ABM, Revcontent, Teads
GLM 4.7 FlashXStackAdapt alternatives: AdRoll ABM, Revcontent
MiniMax M2.5StackAdapt alternatives: AdRoll ABM, MGID, Revcontent

Neither was the first choice, one was named

4 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Teads alternatives: AdRoll ABM, Demandbase, StackAdapt, ZoomInfo
GPT-5.4 miniLinkedIn Sponsored Content alternatives: StackAdapt, Taboola, Teads
Grok 4.1 FastRevcontent alternatives: MGID, StackAdapt, Taboola
Qwen 3.7 FlashRevcontent alternatives: Nativo, StackAdapt, Teads

Neither was named

1 of 12 modelsThe answer made no first choice from these two in this category.
Llama 4 MaverickAbmatic AI alternatives: AdRoll ABM, Revcontent

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

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
MGID leads by twenty-one points.
MGID37%#1 of 9
StackAdapt15%#3 of 9
The full small business standing →
Mid-marketThe figures above
The order flips: StackAdapt leads at mid-market.
StackAdapt23%#1 of 8
MGID20%#2 of 8
The full mid-market standing →
Enterprise
StackAdapt leads by fifteen points.
StackAdapt15%#1 of 10
MGID0%#9 of 10
The full enterprise standing →

What the models said about StackAdapt

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.

“Avoid Taboola, Outbrain (now Teads), StackAdapt, and other premium platforms” DeepSeek V4 Flash · budget prompt · hard negative
“Avoid platforms like StackAdapt (~$2,500+/month) initially” MiniMax M2.5 · budget prompt · hard negative

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.

“Similar to Revcontent with large international reach but questionable inventory quality” Mistral Small · negative prompt · hard negative
“Requires heavy manual filtering and pre-bid fraud integration to avoid bot traffic.” Kimi K2 · negative prompt · hard negative
“Verdict: Avoid (High Risk)” Qwen 3.7 Flash · negative prompt · hard negative
“Best Overall for Low-Cost Testing: MGID ... most accessible entry point for businesses new to native advertising or working with strict financial caps.” Qwen 3.7 Flash · budget prompt · first choice
“MGID represents the best starting point due to its extremely low minimum spend, competitive CPC rates, and self-serve interface” GLM 4.7 FlashX · budget prompt · first choice
“MGID is the clear winner for limited budgets – multiple sources confirm it's the most accessible entry point” Kimi K2 · budget prompt · first choice
Also compared
StackAdapt vs TeadsMGID vs TeadsThe full native ads standing

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.