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. 22 first choices recorded across the direct, paraphrase, budget and scale prompts, six models each.
Standing · first-choice share
32%
Contested · MGID 23%
32StackAdapt23MGID18LinkedIn Sponsored Content27others
32% of first choices, contested.
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
03
LinkedIn Sponsored Content18%0%10accepted challengernewNew since September 2026: not ranked then, 18% now.
LinkedIn Sponsored Content18%0%10accepted challengernewNew since September 2026: not ranked then, 18% now.Show the one product at 0%, ordered by negative rate
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 can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. 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 →
01
0203
04
05
06
07Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01StackAdapt32%
StackAdapt32%02MGID23%
MGID23%03LinkedIn Sponsored Content18%
LinkedIn Sponsored Content18%04Teads5%
Teads5%05Taboola5%
Taboola5%06Revcontent5%
Revcontent5%07Nativo0%
Nativo0%What they warned about
One of six models held their first choice under the paraphrase. Claude Opus 4.8, GPT-6 Astra, GPT-5.6 Sol, Gemini 3.1 Pro and Perplexity Sonar Pro 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.
Taboola48%
13 of 27 labels negative · 6 of 6 models · 1 hard negative
“they are notoriously difficult for B2B software... approach these with caution.” Gemini 3.1 Pro, direct prompt
Revcontent56%
9 of 16 labels negative · 6 of 6 models
“Smaller overall footprint than the largest networks, so scalable results may depend heavily on vertical and geography.” GPT-5.6 Sol, comparative prompt
Teads37%
13 of 35 labels negative · 5 of 6 models · 1 hard negative
“Unlike Taboola or Outbrain (which are often too broad and B2C-focused)” Gemini 3.1 Pro, direct prompt
MGID29%
5 of 17 labels negative · 5 of 6 models
“Use a capped test, enable source-level reporting/blocking, and confirm refund conditions. This is a management-and-contract caution” GPT-6 Astra, negative prompt
What they cite
Six of the six models returned a source list in this edition: six return the pages they cited.
Sites the answers cite
27 of 36 answers in this category came back with a source list, from 6 of 6 models: citations where the model returns them, or the search results it consulted. 451 links across 215 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.
12 answers · 15 citations · 3 models
11 answers · 12 citations · 3 models
vendor site · Taboola7 answers · 11 citations · 3 models
vendor site · SmartyAds7 answers · 8 citations · 3 models
vendor site · Guideflow7 answers · 7 citations · 2 models
vendor site · Realize7 answers · 7 citations · 4 models
vendor site · StackAdapt6 answers · 10 citations · 3 models
vendor site · Brax6 answers · 8 citations · 4 models
6 answers · 6 citations · 3 models
5 answers · 9 citations · 3 models
vendor site · Reddit5 answers · 9 citations · 2 models
5 answers · 7 citations · 4 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.
11 answers · 3 models
10 answers · 3 models
7 answers · 3 models
6 answers · 2 models
6 answers · 3 models
5 answers · 2 models
5 answers · 3 models
5 answers · 3 models
5 answers · 3 models
5 answers · 4 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 | 32% | 393 | 8,100 | 167 | 26,512 | $18,665 | 39 |
| MGID mgid.com | 23% | 122 | 720 | 38 | 2,288 | 23 | |
| LinkedIn parent site LinkedIn Sponsored Content 18%, LinkedIn Audience Network 0% | 18% | 58 | 11,100,000 | 77,031 | |||
| NetLine netline.com | 9% | 3 | |||||
| Teads teads.com | 5% | 189 | 1,900 | 177 | 1,756 | 0 | |
| Meta meta.com Meta Ads 5% | 5% | 195 | 49,500 | 1,504 | 9,891,853 company | $5,460 | 49 |
| Taboola taboola.com Taboola 5%, Taboola / Realize 0% | 5% | 182 | 12,100 | 501 | 11,072 | $336 | 8 |
| Revcontent revcontent.com | 5% | 101 | 590 | 10 | 1,047 | ||
| Nativo nativo.com | 0% | 72 | 6,600 | 755 | 242 | ||
| Dianomi dianomi.com | 0% | 23 |
Google's top ten for the two searches hold 14 sites; 3 of them are among the sites the models cited here (g2.com, nativeadvertisinginstitute.com, reddit.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 software company?”Paraphrase“Which content recommendation and native ads network would you recommend to a mid-sized B2B software 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 5StackAdaptagainst: Taboola, TeadsStackAdaptHeldagainst: Taboola, TeadsTaboola, TeadsMGIDagainst: Revcontentno first choiceagainst: Amazon DSPagainst: AdNow, Adblade, Adcash, Adsterra, Clickadu, Content.ad, Dable, Engageya, Evadav, MGID, Mediago, PopAds, PropellerAds, Revcontent, RichAds, Zeropark
Two alternatives
LinkedIn Sponsored Content, NativoTwo alternatives
Dianomi, LinkedIn Sponsored ContentFive alternatives
MGID, Nativo, Revcontent, Sharethrough, TripleLiftTwo alternatives
Meta Audience Network, TeadsClaude Opus 4.8StackAdaptLinkedIn Sponsored Content, TeadsChangedagainst: TaboolaTaboola, TeadsMeta Adsagainst: Revcontentno first choicenothing named
Two alternatives
Google Demand Gen, LinkedIn Sponsored ContentOne alternative
StackAdaptTwo alternatives
MGID, RevcontentTwo alternatives
Taboola, TeadsGPT-6 AstraLinkedIn Sponsored Content, StackAdaptTaboolaChangedTaboola / Realize, TeadsMGIDno first choiceagainst: MGID, Revcontent, Taboola, Teads
One alternative
Taboola / RealizeThree alternatives
LinkedIn Sponsored Content, Nativo, Outbrain Direct ResponseFive alternatives
Dianomi, MGID, Nativo, Revcontent, StackAdaptTwo alternatives
Taboola / Realize, TeadsGPT-5.6 SolLinkedIn Sponsored Contentagainst: Taboola, TeadsNetLineChangedagainst: TaboolaTaboola / Realize, Teadsagainst: RevcontentMGIDagainst: Revcontentno first choiceagainst: MGID, Revcontent, Taboola / Realize
One alternative
StackAdaptTwo alternatives
Dianomi, TeadsFour alternatives
MGID, Nativo, StackAdapt, TripleLiftTwo alternatives
Taboola, TeadsGemini 3.1 ProLinkedIn Sponsored Contentagainst: Taboola, TeadsStackAdaptChangedagainst: Taboola, TeadsTaboolaMGID, Revcontentagainst: Taboola, TeadsStackAdaptagainst: Taboola, Teadsagainst: Adblade, Adsterra, Content.ad, MGID, PropellerAds, Revcontent, Taboola, Teads
Five alternatives
BuySellAds, Dianomi, Quora Ads, Reddit Ads, StackAdaptThree alternatives
BuySellAds, Dianomi, LinkedIn Audience NetworkFive alternatives
MGID, Sharethrough, Teads, TripleLift, Yahoo DSPThree alternatives
Adcash, Adsterra, RichAdsTwo alternatives
Nativo, SharethroughPerplexity Sonar ProStackAdaptNetLineChangedno first choiceMGIDagainst: Taboola, Teadsno first choiceagainst: MGID, Plista, Revcontent, Taboola, Teads, TripleLift
Four alternatives
LinkedIn Sponsored Content, Nativo, Taboola, TeadsTwo alternatives
Only B2B, TeadsOne alternative
RevcontentBold 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.
Thirty-six rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Opus 5 | claude-opus-5 | 2026-09-09 16:38 | yes | 41 | 62 s |
| Direct recommendation | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-09 16:39 | no | 0 | 15 s |
| Direct recommendation | GPT-6 Astra | gpt-6-astra | 2026-09-09 18:50 | yes | 4 | 25 s |
| Direct recommendation | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-09 18:51 | yes | 4 | 35 s |
| Direct recommendation | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-09 16:41 | no | 0 | 25 s |
| Direct recommendation | Perplexity Sonar Pro | sonar-pro | 2026-09-09 16:39 | yes | 20 | 4 s |
| Paraphrase | Claude Opus 5 | claude-opus-5 | 2026-09-09 16:42 | yes | 25 | 59 s |
| Paraphrase | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-09 16:43 | no | 0 | 19 s |
| Paraphrase | GPT-6 Astra | gpt-6-astra | 2026-09-09 18:52 | yes | 8 | 36 s |
| Paraphrase | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-09 18:54 | yes | 4 | 27 s |
| Paraphrase | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-09 16:45 | no | 0 | 43 s |
| Paraphrase | Perplexity Sonar Pro | sonar-pro | 2026-09-09 16:44 | yes | 20 | 4 s |
| Comparative | Claude Opus 5 | claude-opus-5 | 2026-09-09 16:48 | yes | 44 | 75 s |
| Comparative | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-09 16:57 | yes | 29 | 245 s |
| Comparative | GPT-6 Astra | gpt-6-astra | 2026-09-09 18:56 | yes | 7 | 53 s |
| Comparative | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-09 18:58 | yes | 8 | 50 s |
| Comparative | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-10 16:59 | no | 0 | 38 s |
| Comparative | Perplexity Sonar Pro | sonar-pro | 2026-09-09 16:58 | yes | 20 | 7 s |
| Budget constrained | Claude Opus 5 | claude-opus-5 | 2026-09-09 17:00 | yes | 34 | 51 s |
| Budget constrained | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-09 17:05 | no | 0 | 15 s |
| Budget constrained | GPT-6 Astra | gpt-6-astra | 2026-09-09 18:59 | yes | 3 | 18 s |
| Budget constrained | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-09 19:00 | yes | 3 | 23 s |
| Budget constrained | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-10 17:00 | yes | 8 | 31 s |
| Budget constrained | Perplexity Sonar Pro | sonar-pro | 2026-09-09 17:05 | yes | 20 | 6 s |
| Scale constrained | Claude Opus 5 | claude-opus-5 | 2026-09-09 17:08 | yes | 31 | 73 s |
| Scale constrained | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-09 17:09 | no | 0 | 27 s |
| Scale constrained | GPT-6 Astra | gpt-6-astra | 2026-09-09 19:02 | yes | 5 | 49 s |
| Scale constrained | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-09 19:04 | yes | 6 | 59 s |
| Scale constrained | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-10 17:01 | no | 0 | 21 s |
| Scale constrained | Perplexity Sonar Pro | sonar-pro | 2026-09-09 17:10 | yes | 20 | 8 s |
| Negative framing | Claude Opus 5 | claude-opus-5 | 2026-09-09 17:13 | yes | 22 | 65 s |
| Negative framing | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-09 17:15 | yes | 33 | 51 s |
| Negative framing | GPT-6 Astra | gpt-6-astra | 2026-09-09 19:07 | yes | 5 | 70 s |
| Negative framing | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-09 19:09 | yes | 7 | 62 s |
| Negative framing | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-10 17:03 | no | 0 | 36 s |
| Negative framing | Perplexity Sonar Pro | sonar-pro | 2026-09-09 17:15 | yes | 20 | 8 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
Amazon read as Amazon DSP
LinkedIn read as LinkedIn Sponsored Content
LinkedIn (Sponsored Content) read as LinkedIn Sponsored Content
LinkedIn Ads read as LinkedIn Sponsored Content
LinkedIn Ads (Native/Sponsored Content) read as LinkedIn Sponsored Content
Meta read as Meta Audience Network
Unresolved, counted raw
None awaiting human review.
Discontinued, still offered
No shut-down product was recommended here.