# RichAds: how AI models rank it, September 2026

GTM AI Recommendation Index, September 2026 Edition. Named in 5 judge labels across 3 categories by 4 of 12 models. Page: https://gtm-ai-index.com/vendors/richads/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Native and content advertising | 0% | 72 | 100% | 3 |
| Mobile marketing and push | 0% | 73 | 100% | 1 |
| Video advertising | 0% | 91 | 0% | 1 |

## And against it

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

## The company

Richads; https://richads.com/; Cyprus. From Wikidata, fetched 2026-09-14.

## Record

- Method: https://gtm-ai-index.com/methodology/
- Raw judge labels and full responses: https://gtm-ai-index.com/data/
- License: CC BY 4.0. Cite as GTM AI Recommendation Index, September 2026 Edition, gtm-ai-index.com.