Native and content advertising for enterprise buyers
Asked as “native advertising platform”, and as “content recommendation and native ads network”, on behalf of an enterprise B2B company. 50 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
20%
Contested · StackAdapt 18%
20LinkedIn Sponsored Content18StackAdapt16Taboola46others
20% of first choices, contested.
Since September 2026=heldSince September 2026: 21% → 20%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.LinkedIn Sponsored Content held the lead, ±0 points on 21%, inside the 11-point floor.
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
MGID29%Contested▼−4Since September 2026: 37% → 33%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →Mid-market
StackAdapt41%Clear leader▲+21Since September 2026: 23% → 44%, +21 points. Past the 11-point floor: movement. Read over the models both editions asked.Standing →Enterprise
LinkedIn Sponsored Content20%Contested=heldSince September 2026: 21% → 20%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This page
MGID29%Contested▼−4Since September 2026: 37% → 33%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketStackAdapt41%Clear leader▲+21Since September 2026: 23% → 44%, +21 points. Past the 11-point floor: movement. Read over the models both editions asked.Standing →EnterpriseLinkedIn Sponsored Content20%Contested=heldSince September 2026: 21% → 20%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This pageThe standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01LinkedIn Sponsored Content20%0%17accepted challenger=heldSince September 2026: 21% → 20%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.21% → 20%
LinkedIn Sponsored Content20%0%17accepted challenger=heldSince September 2026: 21% → 20%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.21% → 20%02StackAdapt18%6%35accepted challenger▲+1Since September 2026: 15% → 16%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.15% → 16%
StackAdapt18%6%35accepted challenger▲+1Since September 2026: 15% → 16%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.15% → 16%03
Taboola16%29%55criticized challenger▲+3Since September 2026: 15% → 18%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.15% → 18%
Taboola16%29%55criticized challenger▲+3Since September 2026: 15% → 18%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.15% → 18%04
Nativo12%0%33accepted challenger▲+7Since September 2026: 2% → 9%, +7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 9%
Nativo12%0%33accepted challenger▲+7Since September 2026: 2% → 9%, +7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 9%05
Teads8%24%62accepted challenger=heldSince September 2026: 9% → 9%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.9% → 9%
Teads8%24%62accepted challenger=heldSince September 2026: 9% → 9%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.9% → 9%06
The Trade Desk2%7%14accepted challenger▼−5Since September 2026: 8% → 2%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.8% → 2%
The Trade Desk2%7%14accepted challenger▼−5Since September 2026: 8% → 2%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.8% → 2%07
Revcontent2%58%19criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%
Revcontent2%58%19criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%08MGID2%62%21criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%
MGID2%62%21criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%Show the two products at 0%, ordered by negative rate
09
TripleLift0%5%19accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%
TripleLift0%5%19accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%10Sharethrough0%0%18accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
All twenty-one head-to-head pages: the top seven products, each against each
StackAdapt vs TeadsStackAdapt vs TaboolaStackAdapt vs SharethroughRevcontent vs MGIDRevcontent vs LinkedIn Sponsored ContentRevcontent vs TeadsRevcontent vs TaboolaRevcontent vs SharethroughMGID vs LinkedIn Sponsored ContentMGID vs TeadsMGID vs TaboolaMGID vs SharethroughLinkedIn Sponsored Content vs TeadsLinkedIn Sponsored Content vs TaboolaLinkedIn Sponsored Content vs SharethroughTeads vs TaboolaTeads vs SharethroughTaboola vs Sharethrough
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 →
010203040506070809S10
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01LinkedIn Sponsored Content20%
LinkedIn Sponsored Content20%02StackAdapt18%
StackAdapt18%03Taboola16%
Taboola16%04Nativo12%
Nativo12%05Teads8%
Teads8%06The Trade Desk2%
The Trade Desk2%07Revcontent2%
Revcontent2%08MGID2%
MGID2%09TripleLift0%
TripleLift0%10Sharethrough0%
What they warned about
Two of fourteen 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, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX, GPT-6 Luna and Muse Glimmer 30B 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.
Taboola29%
16 of 55 labels negative · 12 of 14 models · 2 hard negative
“**Do not use Taboola as your primary network.** It performs well for consumer brands but struggles with B2B lead quality.” DeepSeek V4 Flash, paraphrase prompt
Teads24%
15 of 62 labels negative · 12 of 14 models
“Teads' native recommendation inventory (the company formerly known as Outbrain, now combined with Teads)... examples of the network model to scrutinize” GPT-6 Luna, negative prompt
MGID62%
13 of 21 labels negative · 11 of 14 models · 5 hard negative
“MGID – Highest-risk native network ... "the native platforms to be most cautious about" ... "most likely to be a hard negative."” GLM 4.7 FlashX, negative prompt
Revcontent58%
11 of 19 labels negative · 9 of 14 models · 4 hard negative
“Revcontent has repeatedly been flagged for low-quality traffic, high levels of invalid traffic (IVT), and association with dubious or low-tier publishers” Mistral Small, negative prompt
What they cite
Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.
Sites the answers cite
79 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 1160 links across 338 sites, every framing counted. Ranked by the number of answers carrying the site or page. 26 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.
vendor site · Guideflow41 answers · 41 citations · 11 models
40 answers · 57 citations · 12 models
vendor site · Madgicx36 answers · 41 citations · 11 models
34 answers · 37 citations · 11 models
vendor site · Realize24 answers · 26 citations · 12 models
20 answers · 29 citations · 10 models
vendor site · LinkedIn19 answers · 32 citations · 9 models
19 answers · 27 citations · 8 models
vendor site · StackAdapt15 answers · 24 citations · 9 models
vendor site · Quora14 answers · 15 citations · 9 models
vendor site · ZoomInfo12 answers · 18 citations · 8 models
12 answers · 13 citations · 8 models
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.
39 answers · 12 models
38 answers · 11 models
34 answers · 11 models
30 answers · 10 models
22 answers · 11 models
13 answers · 9 models
12 answers · 8 models
12 answers · 7 models
12 answers · 8 models
12 answers · 7 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best native advertising platform”, “native advertising platform”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
| Company and products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Paid search a month, est. | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|---|
| LinkedIn parent site LinkedIn Sponsored Content 20%, LinkedIn Audience Network 2% | 22% | 56 | 11,100,000 | 77,031 | ||||
| StackAdapt stackadapt.com | 18% | 376 | 8,100 | 167 | 26,512 | $18,665 | 39 | |
| Taboola taboola.com Taboola 16%, Taboola / Realize 2% | 18% | 174 | 12,100 | 501 | 11,072 | $336 | 8 | |
| Nativo nativo.com | 12% | 75 | 6,600 | 755 | 242 | |||
| Teads teads.com | 8% | 186 | 1,900 | 177 | 1,756 | 0 | ||
| The Trade Desk thetradedesk.com | 2% | 326 | 27,100 | 1,140 | 68,569 | $8,113 | 18 | 8 |
| Demandbase demandbase.com | 2% | 672 | 5,400 | 211 | 42,531 | 34 | ||
| Realize realize.com | 2% | 11 | ||||||
| Yahoo DSP yahoo.com | 2% | 15 | ||||||
| AdLib getadlib.com | 2% | 18 | 33,100 | 997 | 12,294 | 0 | 3 |
Google's top ten for the two searches hold 14 sites; 2 of them are among the sites the models cited here (g2.com, linkedin.com). The first result for “best native advertising platform” is g2.com.
How 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.ShowHide
How 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.
ShowHideModelDirect“What is the best native advertising platform for an enterprise B2B company?”Paraphrase“Which content recommendation and native ads network would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade native advertising platforms and how do they differ?”Budget-constrained“What is the best native advertising platform for a large company that needs predictable total cost across thousands of users?”Scale-constrained“We are a 5,000 person company with SSO, SOC 2 and procurement review requirements evaluating a native advertising platform. What should we look at?”Negative“Which native advertising platforms should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5no first choiceLinkedIn Sponsored ContentChangedagainst: TaboolaTaboolaMGID, Taboolano first choicenothing named
Two alternatives
StackAdapt, TeadsFive alternatives
MGID, Nativo, StackAdapt, Teads, TripleLiftGPT-5.4 miniLinkedIn Sponsored Contentagainst: Taboola, TeadsStackAdaptChangedTaboola, TeadsTaboolano first choicenothing named
Two alternatives
StackAdapt, The Trade DeskTwo alternatives
Nativo, TaboolaFour alternatives
Adobe Advertising, Nativo, StackAdapt, TripleLiftOne alternative
TeadsGemini 3.5 FlashStackAdaptLinkedIn Audience NetworkChangedTeadsFluencyno first choiceagainst: Adsterra, Content.ad, Evadav, MGID, PopAds, Revcontent, Taboola, Teads
Three alternatives
Dianomi, LinkedIn Sponsored Content, NativoFive alternatives
Demandbase, Life360 Ads, Madison Logic, Realize, TeadsFour alternatives
Nativo, StackAdapt, Taboola, TripleLiftSeven alternatives
6sense, Evocalize, Google Display & Video 360, N.Rich, SproutLoud, StackAdapt, The Trade DeskPerplexity SonarStackAdaptLinkedIn Sponsored ContentChangedStackAdaptAdLibagainst: StackAdapt, Taboolano first choiceagainst: MGID, RichAds, Taboola, Teads, Zeropark
Two alternatives
Life360 Ads, NativoTwo alternatives
Taboola, TeadsFour alternatives
Life360 Ads, Sharethrough, Taboola, TeadsOne alternative
NativoGrok 4.1 FastLinkedIn Sponsored Contentagainst: Taboola, TeadsLinkedIn's Campaign ManagerChangedTaboolaTaboolaagainst: MGID, Revcontent, StackAdaptNativo, StackAdapt, Teadsagainst: MGID, Revcontent, RichAds
One alternative
StackAdaptThree alternatives
Quora Ads, Taboola, TeadsTwo alternatives
StackAdapt, TeadsOne alternative
TeadsMistral SmallNativoTaboola, TeadsChangedTaboola, Teadsagainst: Revcontentno first choiceno first choiceagainst: MGID, Revcontent, Taboola, Teads
Two alternatives
Demandbase, HeySidThree alternatives
Nativo, Sharethrough, StackAdaptDeepSeek V4 FlashLinkedIn Sponsored ContentLinkedIn Sponsored ContentHeldagainst: TaboolaTaboola, TeadsStackAdaptagainst: MGID, Taboola, Teads, TripleLiftno first choiceagainst: Adcash, MGID, Revcontent, Taboola, Teads
Three alternatives
StackAdapt, Taboola, TeadsThree alternatives
Microsoft Advertising, StackAdapt, TeadsThree alternatives
MGID, Revcontent, StackAdaptOne alternative
NativoLlama 4 MaverickNativoTaboola, TeadsChangedno first choiceGuideflowNativoagainst: MGID, RichAds, Taboola, Teads
Three alternatives
Abmatic AI, Demandbase, PubMaticTwo alternatives
Madgicx, RealizeOne alternative
KevelQwen 3.7 FlashDemandbaseagainst: DV360, The Trade DeskRevcontentChangedTaboola, TeadsRealizeno first choiceagainst: Taboola, Teads
Five alternatives
6sense, Nativo, Taboola, Teads, ZoomInfo AdvertisingTwo alternatives
Nudges, TaboolaThree alternatives
DV360, Media.net, RevcontentTwo alternatives
Sharethrough, TeadsKimi K2StackAdaptTaboolaChangedno first choiceYahoo DSPagainst: DV360Taboola, Teadsagainst: MGID, Revcontent, Taboola, Teads
Five alternatives
Google Display & Video 360, LinkedIn Sponsored Content, Nativo, The Trade Desk, TripleLiftFour alternatives
Google Display & Video 360, LinkedIn Sponsored Content, Teads, The Trade DeskTwo alternatives
StackAdapt, The Trade DeskThree alternatives
Nativo, Sharethrough, The Trade DeskGLM 4.7 FlashXLinkedIn Sponsored ContentStackAdaptChangedno first choiceTaboolano first choiceagainst: MGID, Revcontent, Taboola, Teads
Four alternatives
6sense, Demandbase, Taboola, TeadsFour alternatives
Google Display & Video 360, LinkedIn Sponsored Content, Taboola, TeadsOne alternative
The Trade DeskMiniMax M2.5LinkedIn Sponsored ContentLinkedIn Sponsored ContentHeldTaboolaMediaMath, The Trade Deskno first choiceagainst: MGID, Revcontent
Two alternatives
StackAdapt, The Trade DeskFour alternatives
Google Display Network, Revcontent, Taboola, TeadsFive alternatives
MGID, Sharethrough, StackAdapt, Teads, TripleLiftTwo alternatives
Taboola, TeadsGPT-6 LunaLinkedIn Sponsored ContentTaboola / RealizeChangedTaboola, TeadsStackAdaptagainst: Teadsno first choiceagainst: MGID, Revcontent, Taboola / Realize, Teads
One alternative
StackAdaptOne alternative
LinkedIn Sponsored ContentThree alternatives
Equativ, Life360 Ads featuring Nativo, TripleLiftMuse Glimmer 30BNativoStackAdaptChangedTaboola, TeadsNativoagainst: Taboola, Teadsno first choiceagainst: MGID, Newsbreak, Revcontent, Taboola, Teads
Four alternatives
LinkedIn Sponsored Content, Taboola, Teads, ZoomInfo MarketingFive alternatives
EveryoneSocial, Hootsuite Amplify, Sociabble, Taboola, TeadsFive alternatives
Amazon DSP, Life360 Ads, Nativo, Sharethrough, TripleLiftTwo alternatives
Sharethrough, TeadsBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The 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
Eighty-four 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 | 2026-10-01 14:07 | no | 0 | 4 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 13:18 | yes | 4 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:25 | yes | 19 | 21 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 08:27 | yes | 34 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:22 | yes | 22 | 5 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:02 | yes | 5 | 3 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:21 | yes | 24 | 33 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:33 | yes | 5 | 1 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 12:02 | yes | 13 | 23 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:16 | yes | 19 | 24 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:38 | yes | 18 | 23 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 13:21 | yes | 14 | 33 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:30 | yes | 2 | 13 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:26 | yes | 25 | 18 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:02 | yes | 18 | 11 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:39 | yes | 3 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:26 | yes | 11 | 34 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 12:52 | yes | 20 | 4 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:21 | yes | 25 | 6 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:10 | yes | 5 | 2 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:46 | yes | 25 | 50 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:59 | yes | 5 | 1 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 12:24 | no | 0 | 31 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:52 | yes | 20 | 23 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:59 | yes | 19 | 15 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:13 | yes | 6 | 41 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:50 | yes | 2 | 21 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:00 | yes | 23 | 48 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 07:26 | yes | 16 | 11 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:28 | yes | 8 | 11 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:24 | yes | 21 | 25 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 12:11 | yes | 18 | 6 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:28 | yes | 20 | 8 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:24 | yes | 8 | 8 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:40 | yes | 17 | 37 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:25 | yes | 5 | 1 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:10 | no | 0 | 29 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 13:15 | yes | 18 | 25 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:19 | yes | 22 | 35 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:50 | yes | 14 | 28 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:10 | yes | 7 | 30 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:48 | yes | 21 | 39 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:24 | yes | 16 | 7 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 12:07 | yes | 4 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 14:12 | yes | 19 | 55 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 08:02 | yes | 18 | 4 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:42 | yes | 17 | 8 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:01 | yes | 5 | 3 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:59 | yes | 21 | 25 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:56 | yes | 5 | 1 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 12:28 | yes | 22 | 77 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:05 | yes | 20 | 19 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 13:19 | yes | 22 | 162 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:53 | yes | 18 | 84 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:27 | yes | 2 | 22 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:56 | yes | 18 | 31 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:11 | yes | 18 | 11 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:57 | yes | 2 | 10 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:44 | yes | 11 | 29 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 11:13 | yes | 20 | 8 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:25 | yes | 19 | 8 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 14:03 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:16 | yes | 24 | 73 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:57 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:37 | yes | 5 | 26 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:57 | yes | 14 | 23 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:54 | yes | 14 | 28 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:36 | no | 0 | 54 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 13:06 | yes | 3 | 22 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:28 | yes | 13 | 26 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:16 | yes | 15 | 9 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:01 | yes | 4 | 7 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:39 | yes | 36 | 28 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 12:37 | yes | 19 | 5 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:42 | yes | 22 | 7 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:52 | yes | 5 | 4 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:28 | yes | 24 | 41 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 13:18 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:04 | yes | 10 | 45 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:21 | yes | 25 | 23 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 13:02 | yes | 24 | 58 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:18 | yes | 9 | 37 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 13:31 | yes | 2 | 32 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 13:24 | yes | 24 | 41 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
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Category-scoped readings
Amazon read as Amazon DSP
LinkedIn read as LinkedIn Sponsored Content
LinkedIn (Campaign Manager) read as LinkedIn Sponsored Content
LinkedIn Ads read as LinkedIn Sponsored Content
LinkedIn Ads (LinkedIn Campaign Manager) read as LinkedIn Sponsored Content
LinkedIn Ads (Sponsored Content/Lead Gen Forms) read as LinkedIn Sponsored Content
LinkedIn Campaign Manager read as LinkedIn Sponsored Content
LinkedIn Marketing Solutions read as LinkedIn Sponsored Content
Yahoo read as Yahoo Gemini
Unresolved, counted raw
Direct Sales via Publishers
EthicalAds
Evocalize
Life360 Ads featuring Nativo
LinkedIn's Campaign Manager
Nudges
Qualent Media
Seedtag
ZoomInfo Advertising
ZoomInfo Native DSP
Discontinued, still offered
No shut-down product was recommended here.