# Traction Complete alternatives: what AI models name instead, September 2026

GTM AI Recommendation Index, September 2026 Edition. 201 of the 216 answers in the 1 category where Traction Complete holds a standing named it neither first nor as an alternative; these are the first choices those answers made. Page: https://gtm-ai-index.com/vendors/traction-complete/alternatives/

## Named instead, most often (every category and segment added)

- LeanData: 52
- HubSpot Sales Hub: 31
- LeadAngel: 21
- Kubaru: 14
- HubSpot CRM: 13
- Chili Piper: 11

## Lead routing and management

**Small business**: 72 of 72 answers did not name Traction Complete.

- HubSpot Sales Hub: first choice in 25 of those 72
- HubSpot CRM: first choice in 8 of those 72
- Pipedrive: first choice in 7 of those 72
- RevenueHero: first choice in 7 of those 72
- Zoho CRM: first choice in 7 of those 72
- Freshsales: first choice in 5 of those 72
- Kubaru: first choice in 4 of those 72
- LeadAngel: first choice in 2 of those 72

**Mid-market**: 66 of 72 answers did not name Traction Complete (Traction Complete is #11 of 14 at 0%).

- LeadAngel: first choice in 19 of those 66
- LeanData: first choice in 16 of those 66
- Chili Piper: first choice in 7 of those 66
- HubSpot CRM: first choice in 5 of those 66
- HubSpot Sales Hub: first choice in 5 of those 66
- Zoho CRM: first choice in 3 of those 66
- Distributely: first choice in 2 of those 66
- Distribution Engine: first choice in 2 of those 66

**Enterprise**: 63 of 72 answers did not name Traction Complete (Traction Complete is #4 of 9 at 4%).

- LeanData: first choice in 36 of those 63
- Kubaru: first choice in 10 of those 63
- Chili Piper: first choice in 4 of those 63
- Salesforce Lead Assignment Rules: first choice in 2 of those 63
- Default: first choice in 1 of those 63
- HubSpot Breeze Intelligence: first choice in 1 of those 63
- HubSpot Sales Hub: first choice in 1 of those 63
- Native Salesforce Lead Assignment Rules + Flow: first choice in 1 of those 63

Published under CC BY 4.0. The output is the models' output; nothing here is a recommendation by the index.