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. 49 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
41%
Clear leader
41StackAdapt20Revcontent12MGID27others
41% of first choices, clear leader.
Since September 2026▲+21Since September 2026: 23% → 44%, +21 points. Past the 11-point floor: movement. Read over the models both editions asked.StackAdapt held the lead, +21 points on 23%, past the 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.This pageEnterprise
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.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.This pageEnterpriseLinkedIn 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 mid-market B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01StackAdapt41%0%41endorsed leader▲+21Since September 2026: 23% → 44%, +21 points. Past the 11-point floor: movement. Read over the models both editions asked.23% → 44%
StackAdapt41%0%41endorsed leader▲+21Since September 2026: 23% → 44%, +21 points. Past the 11-point floor: movement. Read over the models both editions asked.23% → 44%02
Revcontent20%25%40criticized challenger▲+6Since September 2026: 14% → 20%, +6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.14% → 20%
Revcontent20%25%40criticized challenger▲+6Since September 2026: 14% → 20%, +6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.14% → 20%03MGID12%30%46criticized challenger▼−6Since September 2026: 20% → 15%, −6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.20% → 15%
MGID12%30%46criticized challenger▼−6Since September 2026: 20% → 15%, −6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.20% → 15%04LinkedIn Sponsored Content10%0%19accepted challenger▲+3Since September 2026: 5% → 7%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.5% → 7%
LinkedIn Sponsored Content10%0%19accepted challenger▲+3Since September 2026: 5% → 7%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.5% → 7%05
Teads4%22%74accepted challenger▼−11Since September 2026: 14% → 2%, −11 points. Past the 11-point floor: movement. Read over the models both editions asked.14% → 2%
Teads4%22%74accepted challenger▼−11Since September 2026: 14% → 2%, −11 points. Past the 11-point floor: movement. Read over the models both editions asked.14% → 2%06
Taboola4%33%61criticized challenger▼−6Since September 2026: 11% → 5%, −6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.11% → 5%
Taboola4%33%61criticized challenger▼−6Since September 2026: 11% → 5%, −6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.11% → 5%07Sharethrough2%0%15accepted 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
08
Nativo0%10%21accepted 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%10%21accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%09
TripleLift0%0%13accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
TripleLift0%0%13accepted 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
0809Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative60%
Key
01StackAdapt41%
StackAdapt41%02Revcontent20%
Revcontent20%03MGID12%
MGID12%04LinkedIn Sponsored Content10%
LinkedIn Sponsored Content10%05Teads4%
Teads4%06Taboola4%
Taboola4%07Sharethrough2%
08Nativo0%
Nativo0%09TripleLift0%
TripleLift0%What they warned about
Four of fourteen models held their first choice under the paraphrase. GPT-5.4 mini, Gemini 3.5 Flash, Perplexity Sonar, Grok 4.1 Fast, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, 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.
MGID30%
14 of 46 labels negative · 12 of 14 models · 1 hard negative
“What I'd Avoid or Use with Caution - **MGID** – Heavy entertainment/clickbait inventory” DeepSeek V4 Flash, paraphrase prompt
Taboola33%
20 of 61 labels negative · 12 of 14 models · 1 hard negative
“**Avoid the "big two" (Taboola/Outbrain)**” Kimi K2, budget prompt
Teads22%
16 of 74 labels negative · 11 of 14 models · 1 hard negative
“**Avoid the "big two" (Taboola/Outbrain)**” Kimi K2, budget prompt
Revcontent25%
10 of 40 labels negative · 9 of 14 models · 2 hard negative
“**Red flags:** Reports of **100% bot traffic with 100% bounce rates**... **Verdict:** Proceed with extreme caution” Kimi K2, 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
80 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. 1090 links across 273 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.
44 answers · 51 citations · 12 models
vendor site · Madgicx36 answers · 43 citations · 11 models
vendor site · Guideflow31 answers · 31 citations · 11 models
vendor site · Realize27 answers · 27 citations · 12 models
26 answers · 38 citations · 11 models
vendor site · Admetrics25 answers · 26 citations · 11 models
vendor site · SmartyAds20 answers · 21 citations · 11 models
vendor site · Quora16 answers · 17 citations · 9 models
15 answers · 16 citations · 10 models
15 answers · 15 citations · 8 models
vendor site · ZoomInfo14 answers · 22 citations · 10 models
14 answers · 14 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.
41 answers · 11 models
35 answers · 11 models
29 answers · 11 models
25 answers · 11 models
22 answers · 10 models
18 answers · 11 models
15 answers · 8 models
14 answers · 10 models
14 answers · 8 models
13 answers · 5 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 |
|---|---|---|---|---|---|---|---|
| StackAdapt stackadapt.com | 41% | 376 | 8,100 | 167 | 26,512 | $18,665 | 39 |
| Revcontent revcontent.com | 20% | 104 | 590 | 10 | 1,047 | ||
| MGID mgid.com | 12% | 111 | 720 | 38 | 2,288 | 23 | |
| LinkedIn parent site LinkedIn Sponsored Content 10% | 10% | 56 | 11,100,000 | 77,031 | |||
| Teads teads.com | 4% | 186 | 1,900 | 177 | 1,756 | 0 | |
| Taboola taboola.com Taboola 4%, Taboola / Realize 0% | 4% | 174 | 12,100 | 501 | 11,072 | $336 | 8 |
| Sharethrough sharethrough.com | 2% | 46 | 480 | 24 | 876 | ||
| Dianomi dianomi.com | 2% | 14 | |||||
| NetLine netline.com | 2% | 6 | |||||
| Outbrain now Outbrain Direct Response by Teads | 2% |
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 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 4.5StackAdaptStackAdaptHeldagainst: Taboolano first choiceMGIDno first choiceagainst: MGID, Teads, Yahoo Gemini
Two alternatives
LinkedIn Sponsored Content, TeadsTwo alternatives
LinkedIn Sponsored Content, TeadsFour alternatives
7Search PPC, Adcash, Mondiad, RevcontentGPT-5.4 miniStackAdaptTeadsChangedTaboola, TeadsRevcontentno first choicenothing named
Three alternatives
AdRoll ABM, Demandbase, Microsoft Advertising Audience AdsTwo alternatives
StackAdapt, TaboolaTwo alternatives
Google Ads, LinkedIn Sponsored ContentTwo alternatives
MGID, TeadsGemini 3.5 FlashLinkedIn Sponsored ContentStackAdaptChangedagainst: Taboola, TeadsTaboolaMGIDagainst: Teadsno first choiceagainst: Adsterra, Content.ad, MGID, PropellerAds, Revcontent, RichAds, Taboola, Teads
Five alternatives
6sense, AdLib, Basis, Demandbase, DianomiTwo alternatives
Dianomi, NetLineSix alternatives
Equativ, MGID, Nativo, Sharethrough, Teads, TripleLiftFour alternatives
Content.ad, EZmob, Mondiad, TaboolaPerplexity SonarStackAdaptNetLineChangedTaboola, TeadsRevcontentno first choiceagainst: MGID, RichAds, Taboola, Teads
One alternative
TaboolaOne alternative
LinkedIn Sponsored ContentSeven alternatives
Life360 Ads, Nativo, Revcontent, Sharethrough, SmartyAds, StackAdapt, TripleLiftTwo alternatives
MGID, RunativeGrok 4.1 FastStackAdaptagainst: MGID, RevcontentTaboolaChangedagainst: MGIDno first choiceMGIDagainst: Taboola, TeadsSharethrough, StackAdaptagainst: MGID, Revcontent, RichAds, Taboola, Tout
Three alternatives
Sharethrough, Taboola, TeadsTwo alternatives
Dianomi, TeadsOne alternative
RevcontentMistral SmallStackAdaptagainst: Taboola, TeadsLinkedIn Sponsored Content, StackAdaptChangedno first choiceMGID, Revcontentno first choiceagainst: MGID, Revcontent
Three alternatives
MGID, Taboola, TeadsTwo alternatives
Realize, SmartyAdsDeepSeek V4 FlashStackAdaptagainst: Taboola, TeadsDianomiChangedagainst: MGIDGoogle Demand Gen, TaboolaRevcontentagainst: Nativo, Taboolano first choiceagainst: 7SearchPPC, AdNow, Clickadu, ExoClick, JuicyAds, Revcontent, RichAds
Three alternatives
LinkedIn Sponsored Content, NetLine, ViBThree alternatives
Revcontent, Taboola, TeadsFive alternatives
Amazon DSP, MGID, Revcontent, StackAdapt, TeadsTwo alternatives
MGID, StackAdaptLlama 4 MaverickStackAdaptno first choiceChangedno first choiceRevcontentno first choicenothing named
Two alternatives
Abmatic AI, DemandbaseThree alternatives
Disqus, Taboola, TeadsQwen 3.7 FlashStackAdaptTaboolaChangedTaboola, TeadsRevcontentagainst: Taboola, TeadsRevcontent, StackAdaptagainst: Earnify, MGID, PayClick, Taboola, Teads
Four alternatives
Raptive, Simpli.fi, Taboola, TeadsTwo alternatives
LinkedIn Audience Network, MGIDTwo alternatives
Nativo, SharethroughOne alternative
MGIDTwo alternatives
Taboola, TeadsKimi K2StackAdaptagainst: The Trade DeskStackAdaptHeldagainst: Taboola, TeadsTaboola, TeadsRevcontentagainst: Nativo, Taboola, Teadsno first choiceagainst: MGID, Revcontent, Zemanta
Three alternatives
LinkedIn Sponsored Content, Taboola, TeadsOne alternative
LinkedIn Sponsored ContentFour alternatives
MGID, Revcontent, StackAdapt, TripleLiftSix alternatives
Evadav, MGID, Sharethrough, StackAdapt, TrafficStars, Yahoo GeminiGLM 4.7 FlashXStackAdaptagainst: Taboola, TeadsStackAdaptHeldagainst: The Trade DeskTaboolaMGIDagainst: Taboola, Teadsno first choiceagainst: ExoClick, MGID, Revcontent, Taboola
Two alternatives
LinkedIn Sponsored Content, Microsoft AdvertisingFour alternatives
LinkedIn Sponsored Content, Sharethrough, Taboola, TeadsSix alternatives
MGID, Nativo, Revcontent, Sharethrough, Teads, TripleLiftTwo alternatives
Meta Audience Network, RevcontentMiniMax M2.5StackAdaptagainst: DV360, The Trade DeskLinkedIn Sponsored ContentChangedTaboola, TeadsMGIDno first choiceagainst: MGID, Revcontent, Taboola, Teads
Three alternatives
LinkedIn Sponsored Content, Microsoft Advertising, SmartyAds DSPThree alternatives
StackAdapt, Taboola, TeadsTwo alternatives
Revcontent, StackAdaptOne alternative
RevcontentGPT-6 LunaLinkedIn Sponsored Contentagainst: TaboolaLinkedIn Sponsored ContentHeldno first choiceagainst: Google AdsTeadsno first choiceagainst: MGID, Revcontent, Taboola, Teads
One alternative
AdRoll ABMTwo alternatives
Nativo, TeadsOne alternative
TaboolaMuse Glimmer 30BStackAdaptRevcontentChangedTaboolaagainst: Yahoo Gemini, Yahoo NativeRevcontentagainst: TaboolaOutbrain now Outbrain Direct Response by Teads, StackAdaptagainst: Adcash, MGID, Revcontent, adsy.tech
Two alternatives
Taboola / Realize, TeadsThree alternatives
StackAdapt, Taboola, TeadsFour alternatives
MGID, Revcontent, StackAdapt, TeadsTwo alternatives
BidVertiser, MGIDBold 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 07:48 | yes | 9 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 13:31 | yes | 4 | 4 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 12:42 | yes | 18 | 26 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 07:27 | yes | 20 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:02 | yes | 23 | 10 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:15 | yes | 10 | 4 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:40 | yes | 22 | 24 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:49 | yes | 5 | 1 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:10 | yes | 10 | 25 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:08 | yes | 18 | 21 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:39 | yes | 14 | 118 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:22 | yes | 9 | 25 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:22 | yes | 3 | 14 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:46 | yes | 19 | 31 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 07:50 | yes | 16 | 11 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:31 | yes | 3 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:15 | yes | 14 | 26 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 07:42 | yes | 18 | 2 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 13:17 | yes | 25 | 9 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:31 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:23 | yes | 22 | 31 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:54 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:55 | yes | 8 | 56 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:26 | yes | 23 | 24 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 12:40 | yes | 24 | 158 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:04 | yes | 10 | 15 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:01 | yes | 3 | 15 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:38 | yes | 22 | 32 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:47 | yes | 9 | 8 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:43 | yes | 7 | 8 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:57 | yes | 21 | 30 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 11:46 | yes | 19 | 4 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:06 | yes | 22 | 8 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:03 | yes | 9 | 6 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:32 | yes | 23 | 52 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:41 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:33 | yes | 18 | 57 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:31 | yes | 9 | 29 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 13:09 | yes | 19 | 28 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 13:03 | yes | 16 | 37 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:44 | yes | 8 | 27 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 13:48 | yes | 15 | 27 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:11 | yes | 13 | 8 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:16 | yes | 3 | 4 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 12:37 | yes | 9 | 22 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 09:36 | yes | 18 | 4 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 13:43 | yes | 20 | 7 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:33 | yes | 10 | 5 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:26 | yes | 8 | 20 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:58 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:57 | yes | 9 | 57 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:17 | yes | 9 | 15 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 12:33 | yes | 9 | 94 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 13:02 | yes | 5 | 22 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:24 | yes | 3 | 14 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 13:33 | yes | 21 | 36 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:07 | no | 0 | 7 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:03 | no | 0 | 6 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:44 | yes | 7 | 28 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 13:14 | yes | 20 | 4 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:43 | yes | 15 | 9 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:17 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:55 | yes | 20 | 41 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:23 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:39 | yes | 5 | 24 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:58 | yes | 14 | 17 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:42 | yes | 22 | 33 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:23 | no | 0 | 57 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:57 | yes | 3 | 16 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 13:08 | yes | 11 | 21 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 07:41 | yes | 19 | 9 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:08 | yes | 5 | 8 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:44 | yes | 28 | 25 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 08:22 | yes | 19 | 5 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:36 | yes | 22 | 7 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:55 | yes | 5 | 4 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:25 | yes | 24 | 28 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:56 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:41 | yes | 20 | 47 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:15 | yes | 23 | 23 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:21 | yes | 24 | 133 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:44 | yes | 24 | 42 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:50 | yes | 3 | 21 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 12:04 | yes | 23 | 27 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
ShowHide
Category-scoped readings
Instagram 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
LinkedIn Marketing Solutions (LinkedIn Ads) read as LinkedIn Sponsored Content
TikTok read as TikTok Ads
Yahoo read as Yahoo Gemini
Unresolved, counted raw
7Search PPC
7SearchPPC
Basis DSP
Bidstack
Disqus
EZmob
Earnify
JuicyAds
Microsoft Advertising Audience Ads
Outbrain now Outbrain Direct Response by Teads
PayClick
Quora for Business
Raptive (formerly AdThrive)
Tout
ViB
Yieldmo
adsy.tech
Discontinued, still offered
No shut-down product was recommended here.