Native and content advertising
Asked as “native advertising platform”, and as “content recommendation and native ads network”, on behalf of a mid-market B2B software company. 49 first choices recorded across the direct, paraphrase, budget and scale prompts, six 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 12-point floor: movement. Read over the models both editions asked.StackAdapt held the lead, +21 points on 23%, past the floor.
The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all six models, for a mid-market B2B software company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01
StackAdapt41%0%41endorsed leader▲+21Since September 2026: 23% → 44%, +21 points. Past the 12-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 12-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 12-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 12-point floor: within noise. Read over the models both editions asked.14% → 20%03
MGID12%30%46criticized challenger▼−6Since September 2026: 20% → 15%, −6 points. Inside the 12-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 12-point floor: within noise. Read over the models both editions asked.20% → 15%04
LinkedIn Sponsored Content10%0%19accepted challenger▲+3Since September 2026: 5% → 7%, +3 points. Inside the 12-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 12-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 12-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 12-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 12-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 12-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 12-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 12-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 12-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 12-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 12-point floor: within noise. Read over the models both editions asked.0% → 0%The floor is 12 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. 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 fifteen head-to-head pages: the top six products, each against each
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
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 6 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 6 models · 1 hard negative
“**Avoid the "big two" (Taboola/Outbrain)**” Kimi K2, budget prompt
Teads22%
16 of 74 labels negative · 11 of 6 models · 1 hard negative
“**Avoid the "big two" (Taboola/Outbrain)**” Kimi K2, budget prompt
Revcontent25%
10 of 40 labels negative · 9 of 6 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 six in this edition.
Sites the answers cite
80 of 84 answers in this category came back with a source list, from 14 of 6 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. None of the 36 answers across every segment cited this index's own page for the category.
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 Opus 5no first choiceno first choiceno first choiceno first choiceno first choicenothing named
Claude Opus 4.8no first choiceno first choiceno first choiceno first choiceno first choicenothing named
GPT-6 Astrano first choiceno first choiceno first choiceno first choiceno first choicenothing named
GPT-5.6 Solno first choiceno first choiceno first choiceno first choiceno first choicenothing named
Gemini 3.1 Prono first choiceno first choiceno first choiceno first choiceno first choicenothing named
Perplexity Sonar Prono first choiceno first choiceno first choiceno first choiceno first choicenothing named
Bold 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
Zero rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|
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.