GTM AI Index
Index Vendors › RichAds · September 2026 Edition
3 categories · Named, not ranked

RichAds

10Judge labels
0First choices
7Negative labels
7 of 12Models named it
3Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, every buyer segment counted.
Standing
5 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. RichAds was named 5 times in Native ads and 2 other categories, where StackAdapt led with 23%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
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 RichAds 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.
CategoryFunctionShareRankNegative rateLabelsQuadrant
Native and content advertisingMarketing0%72 of 72100%3under 10 labels · led by StackAdapt at 23%
Mobile marketing and pushMarketing0%73 of 75100%1under 10 labels · led by OneSignal at 34%
Video advertisingMarketing0%91 of 1210%1under 10 labels · led by StackAdapt at 24%

Movement

This is the first edition on this tier, so no move can be computed for RichAds yet. The next is due October 1, 2026. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated RichAds across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00011
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash00022
Llama 4 Maverick00101
Qwen 3.7 Flash00000
Kimi K200011
GLM 4.7 FlashX00000
MiniMax M2.500000

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
Direct1 labelNone
Paraphrase0 labelsNone
Comparative1 labelNone
Budget-constrained1 labelNone
Scale-constrained0 labelsNone
Negative7 labelsNone
First choiceAlternativeMentionNegative10 labels in all, every segment counted; 0 of the 0 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.

No positive label carried a quote.

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.

“Push Notification Ad Networks to Avoid ... fake bot traffic, zero engagement, and refusal to refund” DeepSeek V4 Flash · Mobile & push · negative prompt · hard negative
“Verdict: Avoid unless you have sophisticated fraud detection and a high tolerance for waste.” Kimi K2 · Native ads · negative prompt · hard negative
“Advertisers report ~99% fraudulent clicks with virtually no real traffic or conversions” DeepSeek V4 Flash · Native ads · negative prompt · hard negative
“grouped with MGID in that same "affiliate & volume networks" tier ... comes with the same bot/remnant-inventory risk” Perplexity Sonar · Native ads · negative prompt · soft negative

Named alongside

The products named in the same answers as RichAds, over the 10 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and RichAds was named but was not.
ProductSame answerTook the first choice insteadHead to head
StackAdapt6 of 102Not in the top three
MGID5 of 100Not in the top three
Revcontent5 of 100Not in the top three
Taboola5 of 100Not in the top three
Teads5 of 100Not in the top three
Nativo4 of 101Not in the top three
TripleLift4 of 101Not in the top three
Sharethrough2 of 101Not in the top three
Vibe.co2 of 101Not in the top three
AdLib2 of 100Not in the top three
A head-to-head page exists where both products are in a category's top three. 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 RichAds. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 2 of the 10 answers that named RichAds and are not a share of its labels.

Domains cited

adcash.com1
ads.life360.com1
aidigital.com1
blog.hubspot.com1
clicksgeek.com1
en.trafficcardinal.com1
en.wikipedia.org1
epom.com1
fastercapital.com1
ftc.gov1

Ten of the ten domain citations in answers naming RichAds came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as RichAds

What the judge wrote, as written, with how often. The vendor table decides that these count as RichAds; a claim can dispute any of them.
RichAds (RichPush) 1

The company

Richads is the company behind RichAds.
Website
richads.com
Headquarters
Cyprus

From Wikidata, fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata · LinkedIn · Crunchbase

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 RichAds'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 RichAds, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at richads.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.