Fullcast vs Maptive
Six of twelve models named Fullcast first on the direct prompt; zero named Maptive. Fullcast was named by eleven of the twelve models and Maptive by eleven and Fullcast carries 33 labels and Maptive 21, so the shares are not directly comparable.
Named in one category this edition.
Named in one category this edition.
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; every quote names the model and the prompt it came from. Both figures come from the territory and quota planning page.
By framing
FullcastFirst choices, of twelve modelsMaptive
Across every category in the September 2026 Edition, Fullcast and Maptive were named in the same answer thirty-eight times, of the 90 answers naming Fullcast and the 61 naming Maptive. In those answers Maptive took the first choice one time and Fullcast six.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | | |||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | | | | | ||
| Perplexity Sonar | | | ||||
| Grok 4.1 Fast | | | | | ||
| Mistral Small | | | | |||
| DeepSeek V4 Flash | | | | | | |
| Llama 4 Maverick | | |||||
| Qwen 3.7 Flash | | | | |||
| Kimi K2 | | | | | ||
| GLM 4.7 FlashX | | | ||||
| MiniMax M2.5 | |
Fullcast Maptive first choice named as an alternative argued againstblank: not namedEach cell is one answer, Fullcast on the left and Maptive on the right.The direct prompt
Fullcast first, Maptive not the choice
6 of 12 modelsMaptive was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
3 of 12 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
3 of 12 modelsThe answer made no first choice from these two in this category.Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
Fullcast18%#2 of 11Maptive2%#6 of 11What the models said about Fullcast
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Mid-market RevOps tools (~$20K+/year or $2,400+/user/year).” DeepSeek V4 Flash · budget prompt · hard negative
“start at $20K–$60K/year — likely out of budget range” Kimi K2 · budget prompt · soft negative
“the strongest overall fit is usually Fullcast if you need territory planning and quota planning together in one RevOps workflow” Perplexity Sonar · direct prompt · first choice
“For most mid-market B2B companies using Salesforce, Fullcast is the most purpose-built and operationally impactful choice.” Kimi K2 · direct prompt · first choice
“Fullcast is the industry standard... handles the daily routing, carving, and Salesforce sync better than any other tool” Gemini 3.5 Flash · direct prompt · first choice
What the models said about Maptive
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Mapping-first tools with algorithmic territory balancing at lower cost, but no quota or capacity planning” DeepSeek V4 Flash · direct prompt · soft negative
“Maptive is best for teams that want every mapping feature included at a flat per-user price” Claude Haiku 4.5 · budget prompt · first choice
“"We just need to draw clean maps and visualize coverage" → eSpatial, Maptive, or Salesforce Maps” Qwen 3.7 Flash · comparative prompt · alternative
“eSpatial, Maptive | Excellent for algorithmic balancing and deep GIS visualization.” Qwen 3.7 Flash · scale prompt · alternative
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.