Native and content advertising for small business buyers
Asked as “native advertising platform”, and as “content recommendation and native ads network”, on behalf of a small B2B company. 52 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
29%
Contested · LinkedIn Sponsored Content 21%
29MGID21LinkedIn Sponsored Content21Revcontent29others
29% of first choices, contested.
Since September 2026▼−4Since September 2026: 37% → 33%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.MGID held the lead, −4 points on 37%, 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.This pageMid-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.Standing →
MGID29%Contested▼−4Since September 2026: 37% → 33%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This pageMid-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.Standing →The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for a small B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01MGID29%19%43accepted challenger▼−4Since September 2026: 37% → 33%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.37% → 33%
MGID29%19%43accepted challenger▼−4Since September 2026: 37% → 33%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.37% → 33%02
Revcontent21%18%49accepted challenger▲+2Since September 2026: 17% → 20%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.17% → 20%
Revcontent21%18%49accepted challenger▲+2Since September 2026: 17% → 20%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.17% → 20%03LinkedIn Sponsored Content21%12%24accepted challenger▲+6Since September 2026: 12% → 17%, +6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.12% → 17%
LinkedIn Sponsored Content21%12%24accepted challenger▲+6Since September 2026: 12% → 17%, +6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.12% → 17%04StackAdapt12%16%31accepted challenger▼−2Since September 2026: 15% → 13%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.15% → 13%
StackAdapt12%16%31accepted challenger▼−2Since September 2026: 15% → 13%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.15% → 13%05
Taboola6%52%60criticized challenger▼−1Since September 2026: 8% → 7%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.8% → 7%
Taboola6%52%60criticized challenger▼−1Since September 2026: 8% → 7%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.8% → 7%06
Teads4%49%68criticized challenger▲+1Since September 2026: 4% → 4%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 4%
Teads4%49%68criticized challenger▲+1Since September 2026: 4% → 4%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 4%Show the two products at 0%, ordered by negative rate
08
Nativo0%27%22criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Nativo0%27%22criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%07Sharethrough0%14%14accepted 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 →
010203040506S07
08Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01MGID29%
MGID29%02Revcontent21%
Revcontent21%03LinkedIn Sponsored Content21%
LinkedIn Sponsored Content21%04StackAdapt12%
StackAdapt12%05Taboola6%
Taboola6%06Teads4%
Teads4%07Sharethrough0%
08Nativo0%
Nativo0%What they warned about
Three 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, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, MiniMax M2.5 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.
Taboola52%
31 of 60 labels negative · 13 of 14 models · 6 hard negative
“The "Content Discovery" Giants (Taboola, Outbrain) ... they are often terrible fits for small businesses.” Qwen 3.7 Flash, negative prompt
Teads49%
33 of 68 labels negative · 12 of 14 models · 7 hard negative
“The "Content Discovery" Giants (Taboola, Outbrain) ... they are often terrible fits for small businesses.” Qwen 3.7 Flash, negative prompt
Revcontent18%
9 of 49 labels negative · 9 of 14 models · 2 hard negative
“"Revcontent enforces a hard campaign minimum daily budget of $50 to $100 per day... too steep for a limited-budget test"” Muse Glimmer 30B, negative prompt
MGID19%
8 of 43 labels negative · 8 of 14 models · 3 hard negative
“"Use with extreme caution: Revcontent, MGID, and any mid-tier network without active daily placement management." ... "Requires heavy manual filtering and pre-bid fraud integration to avoid bot traffic."” Muse Glimmer 30B, 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
75 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. 992 links across 259 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.
37 answers · 39 citations · 11 models
vendor site · Madgicx35 answers · 41 citations · 11 models
vendor site · Realize29 answers · 29 citations · 11 models
vendor site · Admetrics28 answers · 28 citations · 11 models
vendor site · Guideflow28 answers · 28 citations · 10 models
vendor site · SmartyAds24 answers · 28 citations · 9 models
22 answers · 32 citations · 10 models
21 answers · 21 citations · 9 models
19 answers · 23 citations · 6 models
vendor site · Quora15 answers · 16 citations · 9 models
14 answers · 22 citations · 9 models
14 answers · 15 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.
37 answers · 11 models
35 answers · 11 models
28 answers · 10 models
28 answers · 11 models
27 answers · 10 models
21 answers · 9 models
14 answers · 8 models
13 answers · 8 models
13 answers · 11 models
13 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 |
|---|---|---|---|---|---|---|---|---|
| MGID mgid.com | 29% | 111 | 720 | 38 | 2,288 | 23 | ||
| Revcontent revcontent.com | 21% | 104 | 590 | 10 | 1,047 | |||
| LinkedIn parent site LinkedIn Sponsored Content 21% | 21% | 56 | 11,100,000 | 77,031 | ||||
| StackAdapt stackadapt.com | 12% | 376 | 8,100 | 167 | 26,512 | $18,665 | 39 | |
| Taboola taboola.com | 6% | 174 | 12,100 | 501 | 11,072 | $336 | 8 | |
| NetLine netline.com | 4% | 6 | ||||||
| Teads teads.com | 4% | 186 | 1,900 | 177 | 1,756 | 0 | ||
| AdRoll adroll.com | 2% | 59 | 2,900 | 50 | 52,273 | 18 | 4 | |
| Nativo Self-Serve | 2% | |||||||
| Sharethrough sharethrough.com | 0% | 46 | 480 | 24 | 876 |
Google's top ten for the two searches hold 14 sites; 1 of them are among the sites the models cited here (g2.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 a small B2B company?”Paraphrase“Which content recommendation and native ads network would you recommend to a small business that sells to other businesses?”Comparative“What are the top native advertising platforms for a small team and how do they differ?”Budget-constrained“What is the best native advertising platform for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating a native advertising platform. What should we look at?”Negative“Which native advertising platforms should a small business avoid or be cautious about?”
Claude Haiku 4.5StackAdaptLinkedIn Sponsored ContentChangedTaboolaMGID, Revcontentno first choiceagainst: Gemini, Taboola, Teads
Three alternatives
LinkedIn Sponsored Content, Taboola, TeadsFour alternatives
Dianomi, Hushly, PathFactory, StackAdaptThree alternatives
AdLib, MGID, TeadsThree alternatives
Adcash, Meta Audience Network, MondiadGPT-5.4 miniLinkedIn Sponsored Contentagainst: StackAdaptTaboolaChangedagainst: RevcontentTaboola, Teadsagainst: ZemantaMGIDno first choiceagainst: Taboola, Teads
One alternative
Google Demand GenOne alternative
TeadsThree alternatives
MGID, Revcontent, StackAdaptOne alternative
TaboolaGemini 3.5 FlashLinkedIn Sponsored Contentagainst: Demandbase, Madison Logic, Taboola, TeadsNetLineChangedagainst: Taboola, TeadsMGID, RevcontentMGIDagainst: Taboola, TeadsTaboola, Teadsagainst: Adsterra, Clickadu, ExoClick, Google Display & Video 360, LinkedIn Sponsored Content, MGID, Nativo, Revcontent, Sharethrough, StackAdapt, Taboola, Teads, The Trade Desk
Three alternatives
Dianomi, Paved, StackAdaptThree alternatives
Dianomi, LinkedIn Sponsored Content, StackAdaptThree alternatives
StackAdapt, Taboola, TeadsThree alternatives
Meta Audience Network, Nextdoor, RevcontentFive alternatives
LinkedIn Sponsored Content, Meta Audience Network, Nativo, Sharethrough, TripleLiftPerplexity SonarStackAdaptagainst: DemandbaseNetLineChangedMGID, RevcontentRevcontentagainst: Taboolano first choiceagainst: Gravity, Taboola, Teads, Yahoo Gemini
Three alternatives
LinkedIn Sponsored Content, Nativo, TeadsOne alternative
TeadsThree alternatives
StackAdapt, Taboola, TeadsOne alternative
MGIDGrok 4.1 FastLinkedIn Sponsored Contentagainst: Google, Reddit, StackAdapt, TeadsMGID, RevcontentChangedagainst: Taboola, TeadsMGID, Revcontentagainst: Taboola, TeadsMGID, Revcontentagainst: StackAdapt, Taboola, Teadsno first choiceagainst: Teadsagainst: MGID, Nativo, Revcontent, RichAds, Taboola, Teads
One alternative
TaboolaOne alternative
SharethroughFour alternatives
MGID, Realize, Taboola, TeadsMistral SmallStackAdaptagainst: TaboolaStackAdaptHeldTeadsMGID, Revcontentno first choicenothing named
One alternative
TeadsThree alternatives
Revcontent, Taboola, TeadsFive alternatives
AdLib, MGID, Nativo, Revcontent, TaboolaDeepSeek V4 FlashRevcontentagainst: Nativo, Taboola, TeadsMGIDChangedagainst: Dianomi, Nativo, TeadsMGID, Revcontentagainst: TaboolaMGIDagainst: Nativo, Sharethrough, StackAdapt, Taboola, Teads, TripleLiftMGIDagainst: Nativo, Taboolaagainst: MGID, Revcontent, Taboola, Teads
Two alternatives
MGID, StackAdaptTwo alternatives
LinkedIn Sponsored Content, TaboolaTwo alternatives
Sharethrough, TeadsOne alternative
RevcontentThree alternatives
Revcontent, StackAdapt, TeadsLlama 4 Maverickno first choiceTaboola, TeadsChangedno first choiceMGIDno first choicenothing named
Two alternatives
Realize, RevcontentQwen 3.7 FlashStackAdaptRevcontentChangedagainst: TaboolaLinkedIn Sponsored Content, X (Twitter) Promoted Postsagainst: TeadsMGIDagainst: Taboola, Teadsno first choiceagainst: LinkedIn Sponsored Content, Reddit Ads, Taboola, Teads, Twitter/X
Three alternatives
LinkedIn Sponsored Content, Revcontent, TaboolaTwo alternatives
LinkedIn Sponsored Content, TeadsThree alternatives
Meta Audience Network, Revcontent, TaboolaOne alternative
RevcontentKimi K2AdRoll, MGIDagainst: LinkedIn Sponsored ContentLinkedIn Sponsored ContentChangedagainst: Taboola, TeadsMGID, RevcontentMGIDagainst: Taboola, TeadsStackAdaptagainst: MGID, Revcontent, RichAds, Taboola, Teads
Two alternatives
StackAdapt, TeadsTwo alternatives
MGID, RevcontentFive alternatives
Microsoft Audience Network, StackAdapt, Taboola, Teads, Yahoo GeminiTwo alternatives
Revcontent, StackAdaptFour alternatives
Revcontent, Sharethrough, Teads, Yahoo GeminiGLM 4.7 FlashXLinkedIn Sponsored ContentLinkedIn Sponsored ContentHeldMGID, RevcontentRevcontentno first choiceagainst: MGID, Revcontent, Taboola, Teads, Unproven Small Networks
Four alternatives
AdRoll ABM, Quora Ads, StackAdapt, TaboolaTwo alternatives
Taboola, TeadsFive alternatives
Nativo, Sharethrough, Taboola, Teads, Yahoo GeminiFour alternatives
Facebook Audience Network, MGID, Pinterest Ads, Reddit AdsMiniMax M2.5LinkedIn Sponsored ContentMGID, RevcontentChangedMGID, RevcontentMGIDagainst: Taboola, Teadsno first choiceagainst: MGID, Revcontent, Taboola, Teads
Four alternatives
Dianomi, MGID, Revcontent, StackAdaptTwo alternatives
Quora Ads, TaboolaTwo alternatives
Taboola, TeadsOne alternative
RevcontentGPT-6 LunaLinkedIn Sponsored Contentagainst: Taboola, TeadsLinkedIn Sponsored ContentHeldagainst: TeadsMGID, Nativo, Revcontentagainst: TeadsNativo Self-Serveagainst: Teadsno first choiceagainst: MGID, Revcontent, Taboola, Teads
One alternative
DianomiTwo alternatives
StackAdapt, Taboola / RealizeOne alternative
Google Demand GenMuse Glimmer 30BLinkedIn Sponsored ContentRevcontentChangedagainst: Taboola, TeadsRevcontent, SharethroughRevcontentno first choiceagainst: MGID, Revcontent, Taboola, Teads
Five alternatives
Demandbase, Nativo, Revcontent, Sharethrough, TeadsOne alternative
DianomiThree alternatives
Nativo, Taboola, TeadsTwo alternatives
MGID, NativoBold 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 09:15 | yes | 9 | 7 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:52 | yes | 4 | 4 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:32 | yes | 18 | 21 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 08:13 | yes | 18 | 4 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:40 | yes | 22 | 6 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:17 | yes | 14 | 7 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:34 | yes | 23 | 35 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:56 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:08 | yes | 14 | 23 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:22 | yes | 14 | 23 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:00 | yes | 20 | 101 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:40 | yes | 13 | 25 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 14:05 | yes | 1 | 15 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:44 | yes | 15 | 15 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 12:20 | yes | 18 | 9 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:17 | yes | 3 | 6 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:47 | yes | 21 | 23 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 11:29 | yes | 18 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:07 | yes | 23 | 8 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:58 | yes | 5 | 3 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:48 | yes | 22 | 26 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:44 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:28 | yes | 18 | 48 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:48 | yes | 20 | 22 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 12:49 | yes | 21 | 29 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:29 | yes | 5 | 18 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:14 | yes | 3 | 17 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:29 | yes | 24 | 24 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:47 | yes | 9 | 7 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:36 | yes | 6 | 11 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:11 | yes | 8 | 26 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 08:28 | yes | 19 | 3 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:13 | yes | 19 | 7 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:33 | yes | 9 | 8 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:39 | yes | 21 | 44 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:41 | yes | 5 | 1 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:36 | no | 0 | 40 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:28 | yes | 19 | 38 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:56 | yes | 20 | 25 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:52 | yes | 7 | 18 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:19 | yes | 6 | 20 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 13:14 | yes | 14 | 27 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:24 | yes | 9 | 6 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:33 | yes | 3 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:19 | yes | 18 | 24 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 12:08 | yes | 19 | 3 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:16 | yes | 20 | 10 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:48 | yes | 5 | 2 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:32 | yes | 21 | 24 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:07 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 12:23 | yes | 5 | 22 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 14:05 | yes | 12 | 26 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:35 | yes | 8 | 22 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:18 | yes | 11 | 27 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:45 | yes | 3 | 13 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:00 | yes | 13 | 14 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:12 | no | 0 | 5 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:55 | no | 0 | 7 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:38 | yes | 10 | 27 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 12:12 | yes | 20 | 6 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:35 | yes | 11 | 9 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:49 | no | 0 | 8 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:06 | yes | 22 | 35 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:02 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:34 | no | 0 | 36 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:44 | yes | 9 | 19 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 13:38 | no | 0 | 24 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:42 | no | 0 | 43 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:32 | yes | 2 | 15 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:18 | no | 0 | 3 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 12:44 | yes | 19 | 9 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:56 | yes | 2 | 6 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:47 | yes | 18 | 27 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 10:40 | yes | 20 | 5 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:36 | yes | 20 | 12 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:44 | yes | 5 | 3 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:16 | yes | 21 | 48 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 13:01 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:19 | no | 0 | 36 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:44 | yes | 24 | 23 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:32 | yes | 23 | 94 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:36 | yes | 20 | 45 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:43 | yes | 3 | 19 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:42 | yes | 23 | 35 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
Facebook read as Meta Ads
LinkedIn read as LinkedIn Sponsored Content
LinkedIn Ads read as LinkedIn Sponsored Content
LinkedIn Campaign Manager read as LinkedIn Sponsored Content
Meta read as Meta Audience Network
Unresolved, counted raw
Bizimply
Facebook Audience Network
Google
Google Discover
Hushly
Indigitall
LinkedIn native ads
Meta (Facebook & Instagram) Feed Ads
Nativo Self-Serve
Pipeline360
Unproven Small Networks
X (Twitter) Promoted Posts
Discontinued, still offered
No shut-down product was recommended here.