# Meta Ads: how AI models rank it, September 2026

GTM AI Recommendation Index, September 2026 Edition. Named in 62 judge labels across 6 categories by 12 of 12 models. Page: https://gtm-ai-index.com/vendors/meta-ads/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Video advertising | 11% | 4 | 4% | 28 |
| Search and social advertising platforms | 5% | 5 | 5% | 20 |
| Programmatic and display advertising | 0% | 68 | 50% | 6 |
| Mobile apps | 0% | 26 | 0% | 5 |
| Ecommerce marketing | 0% | 29 | 0% | 2 |
| Retail, proximity and IoT marketing | 0% | 62 | 0% | 1 |

## What the models said for it

- "Meta (Facebook & Instagram) and TikTok offer the best combination of low entry costs and high return on investment for most small businesses." (Qwen 3.7 Flash, Video ads)
- "Meta (Facebook/Instagram) | Performance, e-commerce | Strong engagement, built-in creative tools, excellent for short-form video" (MiniMax M2.5, Video ads)
- "Start with native platforms: Meta Ads Manager and Google Ads Smart Campaigns are free and sufficient for most small businesses" (GLM 4.7 FlashX, Paid ads)
- "What to do instead: Run your retargeting campaigns directly inside Meta Ads Manager and Google Display Network (GDN)." (Gemini 3.5 Flash, Ecommerce marketing)

## And against it

- "Significant fraud problem: ... Meta earns approximately 10% of its revenue (~$16 billion) from scam ads" (MiniMax M2.5, Video ads)
- "Walled gardens (e.g., Google, Meta) that trade transparency for closed-loop reach—you can't independently validate their inventory" (MiniMax M2.5, Programmatic)
- "Walled Gardens ... Tradeoff: Trade transparency for closed-loop reach and proprietary audiences" (GLM 4.7 FlashX, Programmatic)
- "Walled gardens like Google and Meta ... they may have limitations in terms of transparency and control." (Llama 4 Maverick, Paid ads)

## The company

Meta Platforms; https://www.meta.com/; Menlo Park, United States; founded 2004; about 58,604 employees (2020); public, META on Nasdaq. 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.