# Terminus vs Demandbase: which do AI models recommend for ABM, September 2026

GTM AI Recommendation Index, September 2026 Edition, Account-based marketing platforms. One of twelve models named Terminus first on the direct prompt; zero named Demandbase. Page: https://gtm-ai-index.com/marketing/account-based-marketing-platforms/terminus-vs-demandbase/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Terminus | 5% | #3 of 11 | 21% | 34 | 10 of 12 |
| Demandbase | 4% | #6 of 11 | 42% | 60 | 12 of 12 |

## The direct prompt, model by model

- DeepSeek V4 Flash: terminus first (first choices: AdRoll ABM, Terminus) (alternatives: HubSpot ABM)
- GPT-5.4 mini: neither first, one named (first choices: 6sense) (alternatives: AdRoll ABM, Demandbase)
- Perplexity Sonar: neither first, one named (first choices: AdRoll ABM) (alternatives: 6sense, Demandbase)
- Grok 4.1 Fast: neither first, one named (first choices: AdRoll ABM) (alternatives: Demandbase, HubSpot Marketing Hub, Terminus)
- Mistral Small: neither first, one named (first choices: AdRoll ABM) (alternatives: Factors.ai, HockeyStack, HubSpot Native ABM, Terminus)
- Llama 4 Maverick: neither first, one named (first choices: AdRoll ABM) (alternatives: 6sense Revenue AI, Demandbase, Metaflow AI, ZoomInfo MarketingOS)
- Qwen 3.7 Flash: neither first, one named (first choices: AdRoll ABM) (alternatives: 6sense, Demandbase, Terminus)
- GLM 4.7 FlashX: neither first, one named (first choices: AdRoll ABM, HubSpot ABM) (alternatives: 6sense Revenue AI, Demandbase)
- MiniMax M2.5: neither first, one named (first choices: AdRoll ABM) (alternatives: 6sense Revenue AI, Demandbase, Terminus)
- Claude Haiku 4.5: neither named (first choices: AdRoll ABM, ZoomInfo) (alternatives: 6sense)
- Gemini 3.5 Flash: neither named (first choices: AdRoll ABM) (alternatives: 6sense, Abmatic AI, HubSpot ABM)
- Kimi K2: neither named (first choices: AdRoll ABM) (alternatives: 6sense, DemandScience, HubSpot Marketing Hub)

## What the models said about Terminus

- "some ABM platforms to avoid or be cautious about include:

1. Terminus - Merged with DemandScience in November 2024" (Llama 4 Maverick, negative prompt, hard negative)
- "Terminus (now DemandScience): Post-merger uncertainty, reporting limits, rules-based (not AI-predictive)." (Grok 4.1 Fast, negative prompt, soft negative)
- "Merged with DemandScience (Nov 2024) | Now "ABX by DemandScience" — evaluate the combined roadmap" (MiniMax M2.5, negative prompt, soft negative)
- "the strongest contenders are RollWorks (AdRoll ABM) and Terminus (DemandScience ABX)" (DeepSeek V4 Flash, direct prompt, first choice)
- "Platforms like RollWorks or Terminus are built for your scale" (Kimi K2, scale prompt, first choice)
- "Terminus (if you want multi-channel orchestration)" (DeepSeek V4 Flash, paraphrase prompt, first choice)

## What the models said about Demandbase

- "What to Avoid for Mid-Sized Companies: Demandbase & 6sense - Enterprise pricing ($60K-$300K/year) typically too high" (Mistral Small, paraphrase prompt, hard negative)
- "### Demandbase
- Pricing Opacity: Complex, non-transparent pricing structure ... Technical Debt" (GLM 4.7 FlashX, negative prompt, hard negative)
- "the most suitable ABM platforms are likely to be Demandbase, 6sense, or RollWorks, which are designed for mid-market to enterprise companies" (Llama 4 Maverick, scale prompt, first choice)
- "Demandbase One | Balanced GTM orchestration, sales-marketing alignment | $50K–$200K/yr | Unified workflows; strong for complex cycles" (Qwen 3.7 Flash, scale prompt, first choice)
- "Enterprise companies with complex buying committees often choose 6sense or Demandbase for their deep account intelligence" (Claude Haiku 4.5, comparative prompt, first choice)

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve models, for a mid-market B2B company; rank is within the category. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.