Small business▲+2Since September 2026: 17% → 20%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
20%from 17% in September 2026
Inside the floor by 9 pointsRank 2 of 61, unchanged
3 categories · RankedRevcontent
110Judge labels
22First choices
32Negative labels
14 / 14Models named it
3Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, every buyer segment counted.
Best standing
21% in Native ads for small business buyers
Rank 2 of 86 in the mid-market standingcriticized challenger
0 of 14 models made it the first choice on the direct prompt; 25% of its 40 labels there were negative.
What the models named instead of Revcontent →By buyer segmentStrongest at small business.
Small business2 of 65
21%49 labels
accepted challenger
Mid-market2 of 86
20%40 labels
criticized challenger
Enterprise17 of 79
2%19 labels
criticized challenger
In native ads · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading
Standing by category
Every category where a model named Revcontent for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Native and content advertising | Marketing | 20% | 2 of 86 | 25% | 40 | criticized challenger | ▲+6Since September 2026: 14% → 20%, +6 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Content marketing platforms | Marketing | 0% | 114 of 135 | 100% | 1 | under 10 labels · led by HubSpot Content Hub at 33% | newNew since September 2026: not ranked then, 0% now. |
| Video advertising | Marketing | 0% | 109 of 114 | 100% | 1 | under 10 labels · led by StackAdapt at 32% | newNew since September 2026: not ranked then, 0% now. |
Movement
Since September 2026, Revcontent held within the floor in all three categories: no change cleared 11 points.
Best category · Native ads · by segment
Mid-market▲+6Since September 2026: 14% → 20%, +6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
20%from 14% in September 2026
Inside the floor by 5 pointsRank 4 → 2 of 79
Enterprise▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
2%from 0% in September 2026
Inside the floor by 9 pointsRank 76 → 16 of 65
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Native ads | 14% | 20% | ▲+6Since September 2026: 14% → 20%, +6 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 4 → 2 of 86 |
| Content marketing | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 114 of 135, unchanged |
| Video ads | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 109 of 114, unchanged |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
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 · The editions
By model
How each model treated Revcontent across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated Revcontent across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 1 | 0 | 2 |
| GPT-5.4 mini | 1 | 0 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 2 | 2 |
| Perplexity Sonar | 1 | 1 | 0 | 0 | 2 |
| Grok 4.20 | 0 | 1 | 1 | 2 | 4 |
| Mistral Small | 1 | 0 | 2 | 1 | 4 |
| DeepSeek V4 Flash | 1 | 2 | 0 | 1 | 4 |
| Llama 4 Maverick | 1 | 0 | 2 | 0 | 3 |
| Qwen 3.7 Flash | 2 | 0 | 0 | 1 | 3 |
| Kimi K2 | 1 | 1 | 1 | 1 | 4 |
| GLM 4.7 FlashX | 0 | 2 | 1 | 1 | 4 |
| MiniMax M2.5 | 0 | 2 | 0 | 1 | 3 |
| GPT-6 Luna | 0 | 0 | 1 | 1 | 2 |
| Muse Glimmer 30B | 2 | 1 | 0 | 1 | 4 |
By framing
Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct8 labels1
Paraphrase13 labels6
Comparative28 labels9not counted in share
Budget-constrained25 labels14
Scale-constrained6 labels1
Negative30 labelsNone
First choiceAlternativeMentionNegative110 labels in all, every segment counted; 22 of the 31 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.
What the models said for it
Verbatim evidence the judge attached to positive labels.
“If your budget is truly limited, RevContent is often the best starting point because it explicitly says it has no minimum spending requirements” GPT-5.4 mini · Native ads · budget prompt · first choice
“If you want the single best pick, I'd choose Revcontent for most small budgets because it is described as having no minimum spend” Perplexity Sonar · Native ads · budget prompt · first choice
“Revcontent is the best balance of real publisher inventory and low barrier to test for most small budgets.” Muse Glimmer 30B · Native ads · budget prompt · first choice
“MGID and Revcontent are the most accessible due to their very low minimum spend requirements” Mistral Small · Native ads · budget prompt · first choice
And against it
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“Red flags: Reports of 100% bot traffic with 100% bounce rates... Verdict: Proceed with extreme caution” Kimi K2 · Native ads · negative prompt · hard negative
“Declining traffic quality — reviewers note it's "a shadow of its former self"” DeepSeek V4 Flash · Native ads · negative prompt · hard negative
“High Risk of Bot Traffic” Qwen 3.7 Flash · Video ads · negative prompt · hard negative
“While major platforms like Taboola, Outbrain, MGID, and Revcontent dominate the space, specific experiences vary significantly” MiniMax M2.5 · Native ads · negative prompt · soft negative
Named alongside
The products named in the same answers as Revcontent, over the 110 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Revcontent was named but was not.ShowHide
Named alongside
The products named in the same answers as Revcontent, over the 110 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Revcontent was named but was not.
ShowHideProductSame answerTook the first choice insteadHead to head
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.
What carried it into the answer
The sites and pages cited by the answers that named Revcontent. A fact about retrieval, not a lever on the model.
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 104 of the 110 answers that named Revcontent and are not a share of its labels.
Domains cited
aidigital.com64
madgicx.com58
admetrics.io49
guideflow.com48
realize.com40
openadlibrary.com39
g2.com38
smartyads.com33
zigpoll.com26
mobidea.com24
419 of the 419 domain citations in answers naming Revcontent came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
revcontent.com is not in Google's top ten for any of the category's searches. In the answers, Revcontent takes 20% of first choices and StackAdapt takes 41%.ShowHide
Search and answers
revcontent.com is not in Google's top ten for any of the category's searches. In the answers, Revcontent takes 20% of first choices and StackAdapt takes 41%.
ShowHideIn search
Google, US estimatesPosition for “native advertising platform”
–
not in the top ten
Position for “best native advertising platform”
–
not in the top ten
- Searches for its name, Google
- 590 a month (“revcontent”)
- AI search demand for its name, est.
- 10 a month
- Organic visits to its site
- about 1,047 a month
- Searches its site ranks for
- 276 · 19 in the top three
- Sites linking to it
- 5,353
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
Ads on Google
None found in Google's ad transparency records for the US
In answers
This editionShare of first choices
20%
rank 2 of 86 in native ads
Segment leader
41%
StackAdapt
- First choices
- 22 across its categories
- Named in
- 110 answers
- Its own site cited
- in 104 of the answers that named it
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
What it publishes
ShowHide
What it publishes
ShowHideAddresses on revcontent.com
349
subdomains included
Content
225
counted in the table below
Documentation
90
Product · Integration
0 · 0
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 214 | undated | Content marketing | ||
| Glossary or explainer | 7 | undated | |||
| Case study | 2 | undated | |||
| Report or ebook | 2 | undated |
How it is countedHide how it is counted
Every page revcontent.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. Read September 29, 2026.
Names read as Revcontent
What the judge wrote, as written, with how often. The vendor table decides that these count as Revcontent; a claim can dispute any of them.
RevContent 7MGID/Revcontent 1
Follow Revcontent
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
The company
Revcontent is its own company.ShowHide
The company
Revcontent is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- Performance-Driven Native Advertising Platform for Publishers & Advertisers
- For
- publishers and advertisers
- Not stated on the pages read
- Price, starting price, free plan or trial, integrations, certifications, hosting, customers
What Revcontent's own pages state, read September 28, 2026: revcontent.com. A claimed page can correct any of them.
Is this your product?
Claim this page
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Revcontent's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Revcontent, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
What a new claim receivesHide what a new claim receives
A new claim receives the current edition's vendor brief for Revcontent by email, built from the raw record of the edition. It shows:
- where Revcontent is named, by buyer and by framing, and which cells hold its first choices;
- the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
- its vocabulary against the segment leader's, and the pages the models cited;
- who was chosen in the answers that did not name Revcontent, and every reason the record gives;
- a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
- one page of published figures cleared to show a buyer.
Badges
Wins only: a badge exists where Revcontent is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.ShowHide
Badges
Wins only: a badge exists where Revcontent is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.
ShowHideRevcontent is among the products AI models recommend first in Native and content advertising this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Wide · 320 × 104 Website, beside other badges
Square · 240 × 240 LinkedIn, slides
Compact · 200 × 56 Email signature, footer
Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.