# eSpatial: how AI models rank it, September 2026

GTM AI Recommendation Index, September 2026 Edition. Named in 28 judge labels across 1 categories by 11 of 12 models. Page: https://gtm-ai-index.com/vendors/espatial/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Territory and quota planning | 2% | 9 | 11% | 28 |

## What the models said for it

- "🏆 Top Recommendation: eSpatial" (Qwen 3.7 Flash, Territory planning)
- "eSpatial is best for mid-market teams that want algorithmic territory balancing and clear visual mapping" (Claude Haiku 4.5, Territory planning)
- "Look for tools (like eSpatial or Varicent) that use algorithms to automatically assign accounts" (Qwen 3.7 Flash, Territory planning)
- "Maps ZIP codes, counties, and drive times but doesn't handle quota allocation or capacity modeling" (Qwen 3.7 Flash, Territory planning)

## And against it

- "Mapping-first tools ... but no quota or capacity planning. Good only if territories are purely geographic." (DeepSeek V4 Flash, Territory planning)
- "Great tools but start at $1,495–$2,400/year, only economical if you need algorithmic territory balancing." (DeepSeek V4 Flash, Territory planning)
- "is likely a step up in cost and complexity" (Perplexity Sonar, Territory planning)

## 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.