WhatConverts vs Invoca
One of fourteen models named WhatConverts first on the direct prompt; zero named Invoca. WhatConverts was named by thirteen of the fourteen models and Invoca by fourteen and WhatConverts carries 40 labels and Invoca 43, so the shares are not directly comparable.
Named in two categories 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 fourteen 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 call tracking platforms page.
By framing
WhatConvertsFirst choices, of fourteen modelsInvoca
Across every category in the October 2026 Edition, WhatConverts and Invoca were named in the same answer fifty-three times, of the 101 answers naming WhatConverts and the 134 naming Invoca. In those answers Invoca took the first choice seven times and WhatConverts 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 | | | ||||
| GPT-6 Luna | | | | | ||
| Muse Glimmer 30B | | | | |
WhatConverts Invoca first choice named as an alternative argued againstblank: not namedEach cell is one answer, WhatConverts on the left and Invoca on the right.The direct prompt
WhatConverts first, Invoca not the choice
1 of 14 modelsInvoca was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
7 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
6 of 14 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
WhatConverts8%#2 of 9Invoca0%#9 of 9Invoca62%#1 of 7WhatConverts0%#7 of 7What the models said about WhatConverts
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“I'd recommend starting with WhatConverts at $30/month or Nimbata at $35/month” Kimi K2 · budget prompt · first choice
“Small businesses: CallRail or WhatConverts (good balance of features and cost)” MiniMax M2.5 · comparative prompt · first choice
“WhatConverts — simpler pricing, strong multi-channel attribution” Kimi K2 · negative prompt · first choice
What the models said about Invoca
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Platforms to avoid or scrutinize closely: - Invoca — commonly positioned for enterprise marketing and contact centers, with custom enterprise pricing rather than SMB-friendly transparent pricing.” Perplexity Sonar · negative prompt · hard negative
“custom pricing (often 6-7 figures/year) makes it overkill/too pricey for mid-sized unless you have complex needs” Grok 4.1 Fast · paraphrase prompt · soft negative
“Only if you're enterprise-scale with complex compliance needs and budget for custom AI models (premium pricing)” Kimi K2 · paraphrase prompt · soft negative
“Platforms like Invoca and CallTrackingMetrics are built specifically for enterprise scale” Kimi K2 · scale prompt · first choice
“I'd recommend shortlisting CallTrackingMetrics and Invoca” DeepSeek V4 Flash · scale prompt · first choice
“Shortlist 3-5 (e.g., CallRail, Invoca)” Grok 4.1 Fast · scale prompt · first choice
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.