# Fullcast vs Xactly: which do AI models recommend for territory planning, October 2026

GTM AI Recommendation Index, October 2026 Edition, Territory and quota planning. One of fourteen models named Fullcast first on the direct prompt; one named Xactly. Page: https://gtm-ai-index.com/revops/territory-and-quota-planning/fullcast-vs-xactly/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Fullcast | 4% | #4 of 11 | 8% | 24 | 12 of 14 |
| Xactly | 4% | #6 of 11 | 41% | 32 | 13 of 14 |

## The direct prompt, model by model

- Gemini 3.5 Flash: fullcast first (first choices: Fullcast) (alternatives: CaptivateIQ Planning, Lative, QuotaPath, Xactly AlignStar)
- GPT-5.4 mini: xactly first (first choices: Xactly) (alternatives: Anaplan Territory & Quota Planning, Fullcast)
- Claude Haiku 4.5: neither first, one named (first choices: CaptivateIQ Planning) (alternatives: BitScale, Fullcast, Salesforce Sales Planning, eSpatial)
- Perplexity Sonar: neither first, one named (first choices: CaptivateIQ Planning) (alternatives: Fullcast, Pigment)
- DeepSeek V4 Flash: neither first, one named (first choices: CaptivateIQ Planning) (alternatives: Fullcast, Vena)
- GLM 4.7 FlashX: neither first, one named (first choices: CaptivateIQ Planning) (alternatives: Everstage, Fullcast, QuotaPath)
- GPT-6 Luna: neither first, one named (first choices: Fullcast Plan) (alternatives: Salesforce Sales Planning / Territory Planning, Xactly)
- Grok 4.1 Fast: neither named (first choices: CaptivateIQ Planning) (alternatives: Anaplan Territory & Quota Planning, Outreach, SAP Territory and Quota, Salesforce Maps, eSpatial)
- Mistral Small: neither named (first choices: Pigment) (alternatives: Anaplan Territory & Quota Planning, Aviso)
- Llama 4 Maverick: neither named (first choices: ZoomInfo's Planning product) (alternatives: CaptivateIQ Planning, Guideflow, Prospeo)
- Qwen 3.7 Flash: neither named (first choices: Repertoire AI) (alternatives: Clari Copilot)
- Kimi K2: neither named (first choices: CaptivateIQ Planning) (alternatives: Varicent Territory and Quota Planning, eSpatial)
- MiniMax M2.5: neither named
- Muse Glimmer 30B: neither named (first choices: CaptivateIQ Planning) (alternatives: Revcast, Vena)

## What the models said about Fullcast

- "$20K–$60K/year. Not budget-friendly." (DeepSeek V4 Flash, budget prompt, hard negative)
- "Dedicated tools like Fullcast or Anaplan are powerful but start at custom quotes often >$10k/year—unsuitable for limited budgets." (Grok 4.1 Fast, budget prompt, soft negative)
- "the research suggests a dedicated territory engine (like Fullcast, BoogieBoard, or similar) paired with clean data may be a better fit" (DeepSeek V4 Flash, negative prompt, first choice)
- "Fullcast stands out for AI‑driven territory design and native Salesforce plan‑to‑pay integration." (GLM 4.7 FlashX, comparative prompt, first choice)
- "Prioritize tools with quota-territory linkage (e.g., Fullcast for mid-market, Anaplan for enterprise)" (Grok 4.1 Fast, negative prompt, first choice)

## What the models said about Xactly

- "Avoid: Traditional enterprise platforms like Xactly ... they're overkill and overpriced for most mid-market needs." (Muse Glimmer 30B, negative prompt, hard negative)
- "Avoid going straight to enterprise suites like Xactly unless you need advanced modeling and have the budget" (GPT-5.4 mini, budget prompt, hard negative)
- "considered overkill and overpriced for most mid-market companies" (Mistral Small, negative prompt, hard negative)
- "If you're a mid-sized B2B company and want the safest "default" choice, start with Xactly." (GPT-5.4 mini, paraphrase prompt, first choice)
- "the best overall choice is usually Xactly" (GPT-5.4 mini, direct prompt, first choice)
- "Xactly if by "SPM" you mean a broader suite for territory and quota planning, commissions, and forecasting" (GPT-6 Luna, paraphrase prompt, alternative)

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen 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.