# AdRoll ABM: how AI models rank it, September 2026

GTM AI Recommendation Index, September 2026 Edition. Named in 108 judge labels across 10 categories by 12 of 12 models. Page: https://gtm-ai-index.com/vendors/adroll-abm/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Account-based marketing platforms | 56% | 1 | 6% | 67 |
| Retail, proximity and IoT marketing | 4% | 7 | 0% | 4 |
| Data management platforms | 4% | 8 | 0% | 5 |
| Programmatic and display advertising | 2% | 6 | 0% | 8 |
| Search and social advertising platforms | 2% | 14 | 0% | 7 |
| Native and content advertising | 0% | 17 | 0% | 7 |
| B2B intent data providers | 0% | 19 | 0% | 5 |
| Identity resolution | 0% | 52 | 0% | 2 |
| Video advertising | 0% | 30 | 0% | 2 |
| Channel partner and local marketing | 0% | 42 | 0% | 1 |

## What the models said for it

- "RollWorks is an account-based marketing software that aligns marketing and sales teams, enabling B2B companies to identify, engage, and grow revenue from high-value accounts." (Claude Haiku 4.5, Proximity)
- "The best account-based marketing platform for a company with a limited budget is RollWorks, which is an approachable and budget-friendly ABM tool" (Llama 4 Maverick, ABM)
- "I'd generally recommend RollWorks / AdRoll ABM if your priority is fast setup, practical ABM, and a more approachable mid-market fit" (GPT-5.4 mini, ABM)
- "I'd suggest starting with RollWorks if you need a dedicated ABM platform, as it's specifically designed for mid-market companies" (Claude Haiku 4.5, ABM)

## And against it

- "Enterprise tools (RollWorks ~$12K/yr, Demandbase) are overkill/too costly." (Grok 4.1 Fast, ABM)
- "Renamed to AdRoll ABM (Aug 2025) | Same product, different name — reviews may be split" (MiniMax M2.5, ABM)
- "RollWorks / AdRoll ABM (Be cautious of: Ad-only limitations and superficial metrics)" (Gemini 3.5 Flash, ABM)
- "none of which scale down without pain" (Claude Haiku 4.5, ABM)

## The company

AdRoll; http://www.adroll.com/; San Francisco, United States; founded 2007. 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.