Index › Marketing › September 2026 Edition

Native and content advertising

Asked as “native advertising platform”, and as “content recommendation and native ads network”, on behalf of a mid-market B2B company. 44 first choices recorded across the direct, paraphrase, budget and scale prompts, twelve models each.

Standing

StackAdapt

Contested

23% of first choices, contested.

ShowinginAll 73 categories →

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.

Small business

MGID37%ContestedStanding →Mid-market

StackAdapt23%ContestedThis page Enterprise

StackAdapt15%ContestedStanding →

01The standing

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. Ordered by share.

ProductFirst-choice shareNegative rateLabelsQuadrant

StackAdapt5%40accepted challenger

MGID21%47accepted challenger

Teads23%70accepted challenger

Revcontent23%47accepted challenger

Taboola36%59criticized challenger

Show the three products at 0%, ordered by negative rate

Nativo7%28accepted challenger

TripleLift0%17accepted challenger

08Sharethrough0%11accepted challenger

Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its vendor page.

Head to head

StackAdapt vs MGID StackAdapt vs Teads MGID vs Teads

Recommended versus criticized

Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.

Criticized challengerCriticized default

Negative label rate →

S08

Accepted challengerEndorsed leader

0%First-choice share → · lines at 30% share and 25% negative40%

Key

StackAdapt23%

MGID20%

Teads14%

Revcontent14%

Taboola11%

Nativo0%

TripleLift0%

08Sharethrough0%

02What they warned about

Three of twelve models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Perplexity Sonar, Grok 4.1 Fast, Mistral Small, Llama 4 Maverick, GLM 4.7 FlashX and MiniMax M2.5 changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.

Taboola

36%

21 of 59 labels negative · 11 of 12 models · 2 hard negative

“Many advertisers report 100% bot traffic with 100% bounce rates ... Rating: 2.7/5 on Trustpilot (rated "Poor")” GLM 4.7 FlashX, negative prompt

Revcontent

23%

11 of 47 labels negative · 10 of 12 models · 5 hard negative

“Revcontent enforces a hard campaign minimum daily budget of $50 to $100 per day... too steep for a limited-budget test” Gemini 3.5 Flash, budget prompt

Teads

23%

16 of 70 labels negative · 9 of 12 models · 4 hard negative

“Platforms to Avoid on a Tight Budget: Outbrain... Running ads with less than this often yields poor results.” Gemini 3.5 Flash, budget prompt

MGID

21%

10 of 47 labels negative · 9 of 12 models · 3 hard negative

“Similar to Revcontent with large international reach but questionable inventory quality” Mistral Small, negative prompt

03What they cite

Citations exist only for the models that return a source list: four of the twelve in this edition, and all six flagship models on the expanded tier.

Sites the answers cite

20 of 72 answers in this category came back with a source list, from 4 of 12 models: citations where the model returns them, or the search results it consulted. 6 of those lists are Google grounding redirects that name no site and are left out of the counts. 174 links across 97 sites, every framing counted. Ranked by the number of answers carrying the site or page. The other 8 models searched through a gateway that returned no source list on this edition.

aidigital.com

8 answers · 10 citations · 2 models

realize.com

vendor site · Realize7 answers · 7 citations · 2 models

smartyads.com

vendor site · SmartyAds6 answers · 6 citations · 2 models

business.quora.com

vendor site · Quora5 answers · 5 citations · 2 models

guideflow.com

vendor site · Guideflow5 answers · 5 citations · 2 models

nativeadvertisinginstitute.com

5 answers · 5 citations · 2 models

getadlib.com

4 answers · 4 citations · 1 model

madgicx.com

vendor site · Madgicx4 answers · 4 citations · 2 models

reddit.com

vendor site · Reddit3 answers · 5 citations · 2 models

linkedin.com

vendor site · LinkedIn3 answers · 4 citations · 2 models

outbrain.com

3 answers · 4 citations · 1 model

adcash.com

vendor site · Adcash3 answers · 3 citations · 1 model

Pages the answers cite

The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.

aidigital.com/blog/native-advertising-platforms

8 answers · 2 models

realize.com/marketing-hub/native-advertising-platform

7 answers · 2 models

guideflow.com/blog/native-advertising-software

5 answers · 2 models

smartyads.com/blog/best-native-advertising-platforms

5 answers · 2 models

business.quora.com/marketing-advertising-resources/best-native-advertising-…

4 answers · 1 model

getadlib.com/blog/best-native-advertising-platforms

4 answers · 1 model

nativeadvertisinginstitute.com/blog/best-native-advertising-platforms-in-2024

4 answers · 2 models

adcash.com/knowledge/native-ad-networks-for-advertisers

3 answers · 1 model

en.trafficcardinal.com/post/best-native-advertising-networks

3 answers · 1 model

ftc.gov/business-guidance/resources/native-advertising-guide-businesses

3 answers · 2 models

04How they answered

Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.

ModelDirect“What is the best native advertising platform for a mid-market B2B company?”Paraphrase“Which content recommendation and native ads network would you recommend to a mid-sized B2B company?”Comparative“What are the top native advertising platforms and how do they differ?”Budget-constrained“What is the best native advertising platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a native advertising platform. What should we look at?”Negative“Which native advertising platforms should I avoid or be cautious about?”

Claude Haiku 4.5Teads

Four alternatives

AdRoll ABM, Demandbase, StackAdapt, ZoomInfo

against: TaboolaLinkedIn Native AdvertisingChangedagainst: Taboola, TeadsTaboola, Teads

One alternative

Revcontent

Meta Audience Network

Two alternatives

7SearchPPC, MGID

no first choicenothing named

GPT-5.4 miniLinkedIn Sponsored Content

Three alternatives

StackAdapt, Taboola, Teads

TeadsChanged

Four alternatives

Google Discovery / Demand Gen, LinkedIn Campaign Manager, Nativo, Taboola

no first choiceTeads

One alternative

MGID

against: Revcontentno first choiceagainst: MGID, Revcontent, Taboola, Teads

Gemini 3.5 FlashStackAdapt

Five alternatives

AdRoll ABM, Dianomi, LinkedIn Sponsored Content, Taboola, Teads

DianomiChanged

Four alternatives

AdLib, Madison Logic, Nativo, Teads

Taboola, Teads

Three alternatives

Life360 Ads, MGID, StackAdapt

MGID

Three alternatives

Galaksion, Meta Audience Network, Reddit Ads

against: Revcontent, Taboola, Teadsno first choiceagainst: AdNow, AdsKeeper, Adsterra, Clickadu, MGID, PropellerAds, Taboola, Teads

Perplexity SonarStackAdapt

Six alternatives

LinkedIn Ads/Campaign Manager, MGID, Nativo, Revcontent, Taboola, Teads

NetLine, TeadsChanged

One alternative

LinkedIn Sponsored Content

Taboola, Teads

Six alternatives

MGID, Nativo, Revcontent, Sharethrough, StackAdapt, TripleLift

MGID

One alternative

Revcontent

against: AdLib, Taboola, Teadsno first choiceagainst: MGID, Revcontent, RichAds, Taboola, Teads, Zeropark

Grok 4.1 FastRevcontent

Three alternatives

MGID, StackAdapt, Taboola

LinkedIn Campaign ManagerChanged

Three alternatives

MGID, Revcontent, Taboola

against: TeadsTaboola, Teads

Five alternatives

MGID, Nativo, Revcontent, StackAdapt, TripleLift

MGID

One alternative

Revcontent

against: Taboola, TeadsStackAdapt, Taboola

Two alternatives

Nativo, Teads

against: MGID, Revcontent, Taboola, Teads

Mistral SmallStackAdapt

Three alternatives

MGID, Revcontent, Teads

TeadsChanged

Three alternatives

NetLine, StackAdapt, Taboola

Taboola

Six alternatives

MGID, Nativo, Realize, Revcontent, StackAdapt, Teads

Revcontent

One alternative

MGID

against: Teadsno first choiceagainst: MGID, Revcontent, Taboola, Teads

DeepSeek V4 FlashStackAdapt

Four alternatives

MGID, Revcontent, Taboola, Teads

against: DV360, The Trade DeskStackAdaptHeld

Two alternatives

Revcontent, Teads

against: MGID, Nativo, TaboolaTaboola

Six alternatives

MGID, Nativo, Revcontent, Sharethrough, Teads, TripleLift

MGID

One alternative

Revcontent

against: StackAdapt, Taboola Self-Serve, Teadsno first choiceagainst: FroggyAds, MGID, MintFunnel, Revcontent, RichAds, Taboola, Teads

Llama 4 MaverickAbmatic AI

Two alternatives

AdRoll ABM, Revcontent

Revcontent, TaboolaChangedno first choiceMGID, RevcontentAdLib

Four alternatives

Nativo, StackAdapt, Taboola, Teads

nothing named

Qwen 3.7 FlashRevcontent

Three alternatives

Nativo, StackAdapt, Teads

against: TaboolaRevcontentHeld

Two alternatives

StackAdapt, Teads

against: Taboolano first choiceMGID

Two alternatives

AdLib, Meta Audience Network

against: Taboolano first choiceagainst: Content.ad, LockerDome, MGID, Revcontent, Taboola

Kimi K2StackAdapt

Three alternatives

AdRoll ABM, Revcontent, Teads

against: TaboolaStackAdaptHeld

Three alternatives

LinkedIn Campaign Manager, Taboola, Teads

no first choice

Six alternatives

MGID, Nativo, Revcontent, StackAdapt, Taboola, Teads

MGID

Two alternatives

Meta Audience Network, Monetag

against: Taboola, TeadsTaboola, Teads

Three alternatives

AdLib, Nativo, StackAdapt

against: MGID, Revcontent, RichAds, Taboola, Teads

GLM 4.7 FlashXStackAdapt

Two alternatives

AdRoll ABM, Revcontent

TaboolaChanged

Three alternatives

MGID, MSN/Microsoft Audience Network, StackAdapt

StackAdapt, Taboola

Three alternatives

MGID, Nativo, TripleLift

MGID

Three alternatives

Adsterra, Taboola, Yahoo DSP

no first choiceagainst: Revcontent, Taboola, Teads

MiniMax M2.5StackAdapt

Three alternatives

AdRoll ABM, MGID, Revcontent

TaboolaChanged

Four alternatives

MGID, Revcontent, StackAdapt, Teads

Taboola

One alternative

Teads

MGID

Two alternatives

Adsterra, Taboola

against: StackAdaptno first choiceagainst: MGID, Mobidea, Nativo, Revcontent, Taboola

Bold is the first choiceAlternatives are counted; the count opens them.What the answer argued against

05The record

One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record

Seventy-two rows: every prompt, every model, every answer.

Prompt	Model	Version string	Time (UTC)	Searched	Sources	Latency
Direct recommendation	Claude Haiku 4.5	`claude-haiku-4-5-20251001`	2026-09-15 01:12	yes	8	8 s
Direct recommendation	GPT-5.4 mini	`gpt-5.4-mini-2026-03-17`	2026-09-15 03:03	yes	3	6 s
Direct recommendation	Gemini 3.5 Flash	`gemini-3.5-flash`	2026-09-15 00:19	yes	9	19 s
Direct recommendation	Perplexity Sonar	`sonar`	2026-09-15 03:04	yes	20	5 s
Direct recommendation	Grok 4.1 Fast	`spacexai/grok-4.1-fast-non-reasoning via vertex`	2026-09-15 04:42	yes	0	9 s
Direct recommendation	Mistral Small	`mistral/mistral-small via mistral`	2026-09-14 23:32	yes	0	6 s
Direct recommendation	DeepSeek V4 Flash	`deepseek/deepseek-v4-flash via fireworks`	2026-09-14 23:06	yes	0	19 s
Direct recommendation	Llama 4 Maverick	`meta/llama-4-maverick via bedrock`	2026-09-15 02:24	yes	0	1 s
Direct recommendation	Qwen 3.7 Flash	`alibaba/qwen3.7-flash via alibaba`	2026-09-15 02:03	yes	0	53 s
Direct recommendation	Kimi K2	`moonshotai/kimi-k2 via novita`	2026-09-15 05:02	yes	0	45 s
Direct recommendation	GLM 4.7 FlashX	`zai/glm-4.7-flashx via zai`	2026-09-14 23:39	yes	0	81 s
Direct recommendation	MiniMax M2.5	`minimax/minimax-m2.5 via minimax`	2026-09-15 03:46	yes	0	18 s
Paraphrase	Claude Haiku 4.5	`claude-haiku-4-5-20251001`	2026-09-15 04:20	no	0	6 s
Paraphrase	GPT-5.4 mini	`gpt-5.4-mini-2026-03-17`	2026-09-14 23:27	no	0	4 s
Paraphrase	Gemini 3.5 Flash	`gemini-3.5-flash`	2026-09-15 00:58	yes	23	21 s
Paraphrase	Perplexity Sonar	`sonar`	2026-09-15 00:58	yes	20	5 s
Paraphrase	Grok 4.1 Fast	`spacexai/grok-4.1-fast-non-reasoning via vertex`	2026-09-15 05:00	yes	0	8 s
Paraphrase	Mistral Small	`mistral/mistral-small via mistral`	2026-09-15 00:40	yes	0	7 s
Paraphrase	DeepSeek V4 Flash	`deepseek/deepseek-v4-flash via fireworks`	2026-09-15 03:32	yes	0	30 s
Paraphrase	Llama 4 Maverick	`meta/llama-4-maverick via bedrock`	2026-09-14 23:30	yes	0	2 s
Paraphrase	Qwen 3.7 Flash	`alibaba/qwen3.7-flash via alibaba`	2026-09-15 00:22	yes	0	31 s
Paraphrase	Kimi K2	`moonshotai/kimi-k2 via novita`	2026-09-15 03:19	yes	0	58 s
Paraphrase	GLM 4.7 FlashX	`zai/glm-4.7-flashx via zai`	2026-09-15 00:53	yes	0	107 s
Paraphrase	MiniMax M2.5	`minimax/minimax-m2.5 via minimax`	2026-09-15 04:24	yes	0	32 s
Comparative	Claude Haiku 4.5	`claude-haiku-4-5-20251001`	2026-09-15 00:39	yes	7	7 s
Comparative	GPT-5.4 mini	`gpt-5.4-mini-2026-03-17`	2026-09-15 04:23	yes	7	8 s
Comparative	Gemini 3.5 Flash	`gemini-3.5-flash`	2026-09-14 23:46	yes	16	30 s
Comparative	Perplexity Sonar	`sonar`	2026-09-14 23:51	yes	20	10 s
Comparative	Grok 4.1 Fast	`spacexai/grok-4.1-fast-non-reasoning via vertex`	2026-09-15 00:13	yes	0	6 s
Comparative	Mistral Small	`mistral/mistral-small via mistral`	2026-09-14 23:59	yes	0	7 s
Comparative	DeepSeek V4 Flash	`deepseek/deepseek-v4-flash via fireworks`	2026-09-15 00:52	yes	0	24 s
Comparative	Llama 4 Maverick	`meta/llama-4-maverick via bedrock`	2026-09-15 01:08	yes	0	2 s
Comparative	Qwen 3.7 Flash	`alibaba/qwen3.7-flash via alibaba`	2026-09-15 01:32	yes	0	30 s
Comparative	Kimi K2	`moonshotai/kimi-k2 via novita`	2026-09-14 22:54	yes	0	32 s
Comparative	GLM 4.7 FlashX	`zai/glm-4.7-flashx via zai`	2026-09-15 01:19	yes	0	60 s
Comparative	MiniMax M2.5	`minimax/minimax-m2.5 via minimax`	2026-09-15 04:52	yes	0	40 s
Budget constrained	Claude Haiku 4.5	`claude-haiku-4-5-20251001`	2026-09-15 03:19	yes	6	8 s
Budget constrained	GPT-5.4 mini	`gpt-5.4-mini-2026-03-17`	2026-09-15 00:03	yes	4	4 s
Budget constrained	Gemini 3.5 Flash	`gemini-3.5-flash`	2026-09-15 03:55	yes	22	28 s
Budget constrained	Perplexity Sonar	`sonar`	2026-09-15 01:49	yes	20	5 s
Budget constrained	Grok 4.1 Fast	`spacexai/grok-4.1-fast-non-reasoning via vertex`	2026-09-15 01:32	yes	0	4 s
Budget constrained	Mistral Small	`mistral/mistral-small via mistral`	2026-09-15 04:00	yes	0	7 s
Budget constrained	DeepSeek V4 Flash	`deepseek/deepseek-v4-flash via deepinfra`	2026-09-15 00:13	yes	0	25 s
Budget constrained	Llama 4 Maverick	`meta/llama-4-maverick via bedrock`	2026-09-15 01:48	yes	0	2 s
Budget constrained	Qwen 3.7 Flash	`alibaba/qwen3.7-flash via alibaba`	2026-09-15 02:06	yes	0	39 s
Budget constrained	Kimi K2	`moonshotai/kimi-k2 via novita`	2026-09-15 00:52	yes	0	31 s
Budget constrained	GLM 4.7 FlashX	`zai/glm-4.7-flashx via zai`	2026-09-15 02:41	yes	0	56 s
Budget constrained	MiniMax M2.5	`minimax/minimax-m2.5 via minimax`	2026-09-14 22:55	yes	0	35 s
Scale constrained	Claude Haiku 4.5	`claude-haiku-4-5-20251001`	2026-09-14 23:05	no	0	6 s
Scale constrained	GPT-5.4 mini	`gpt-5.4-mini-2026-03-17`	2026-09-15 03:55	no	0	7 s
Scale constrained	Gemini 3.5 Flash	`gemini-3.5-flash`	2026-09-15 01:57	yes	12	27 s
Scale constrained	Perplexity Sonar	`sonar`	2026-09-15 01:22	yes	20	44 s
Scale constrained	Grok 4.1 Fast	`spacexai/grok-4.1-fast-non-reasoning via vertex`	2026-09-14 23:16	yes	0	8 s
Scale constrained	Mistral Small	`mistral/mistral-small via mistral`	2026-09-15 03:17	yes	0	10 s
Scale constrained	DeepSeek V4 Flash	`deepseek/deepseek-v4-flash via fireworks`	2026-09-15 04:41	yes	0	21 s
Scale constrained	Llama 4 Maverick	`meta/llama-4-maverick via bedrock`	2026-09-15 03:34	yes	0	2 s
Scale constrained	Qwen 3.7 Flash	`alibaba/qwen3.7-flash via alibaba`	2026-09-15 00:42	no	0	33 s
Scale constrained	Kimi K2	`moonshotai/kimi-k2 via novita`	2026-09-15 02:31	yes	0	69 s
Scale constrained	GLM 4.7 FlashX	`zai/glm-4.7-flashx via zai`	2026-09-15 01:38	yes	0	31 s
Scale constrained	MiniMax M2.5	`minimax/minimax-m2.5 via minimax`	2026-09-15 04:07	yes	0	15 s
Negative framing	Claude Haiku 4.5	`claude-haiku-4-5-20251001`	2026-09-14 23:31	yes	17	8 s
Negative framing	GPT-5.4 mini	`gpt-5.4-mini-2026-03-17`	2026-09-14 23:26	yes	2	5 s
Negative framing	Gemini 3.5 Flash	`gemini-3.5-flash`	2026-09-15 01:06	yes	23	24 s
Negative framing	Perplexity Sonar	`sonar`	2026-09-15 00:32	yes	20	7 s
Negative framing	Grok 4.1 Fast	`spacexai/grok-4.1-fast-non-reasoning via vertex`	2026-09-14 23:05	yes	0	7 s
Negative framing	Mistral Small	`mistral/mistral-small via mistral`	2026-09-15 02:46	yes	0	6 s
Negative framing	DeepSeek V4 Flash	`deepseek/deepseek-v4-flash via deepinfra`	2026-09-14 23:40	yes	0	38 s
Negative framing	Llama 4 Maverick	`meta/llama-4-maverick via bedrock`	2026-09-15 03:04	yes	0	1 s
Negative framing	Qwen 3.7 Flash	`alibaba/qwen3.7-flash via alibaba`	2026-09-15 00:22	yes	0	23 s
Negative framing	Kimi K2	`moonshotai/kimi-k2 via novita`	2026-09-15 02:26	yes	0	69 s
Negative framing	GLM 4.7 FlashX	`zai/glm-4.7-flashx via zai`	2026-09-15 05:05	yes	0	23 s
Negative framing	MiniMax M2.5	`minimax/minimax-m2.5 via minimax`	2026-09-15 03:35	yes	0	20 s

Normalization in this category

Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.

Category-scoped readings

LinkedIn read as LinkedIn Sponsored Content

Meta (Facebook & Instagram Sponsored Posts) read as Meta Audience Network

Unresolved, counted raw

7SearchPPC

AdUp

AdsKeeper

AdsNative

Google Discovery / Demand Gen

Life360

LinkedIn Ads/Campaign Manager

LinkedIn Native Advertising

LockerDome

MSN/Microsoft Audience Network

MintFunnel

MoPub

Mobidea

Qortex

Taboola Self-Serve

Yahoo Native / Yahoo Partner Ads

ZergNet

Discontinued, still offered

No shut-down product was recommended here.

Native and content advertising

By buyer segment

01The standing

Recommended versus criticized

02What they warned about

03What they cite

Sites the answers cite

Pages the answers cite

04How they answered

05The record

Normalization in this category

Also in marketing