WhatConverts vs Invoca
One of fourteen models named WhatConverts first on the direct prompt; zero named Invoca. Both were named by all fourteen models and WhatConverts carries 44 labels and Invoca 51, so the shares are not directly comparable.
Named in two categories this edition.
Named in two categories 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 November 2026 Edition, WhatConverts and Invoca were named in the same answer seventy-two times, of the 129 answers naming WhatConverts and the 151 naming Invoca. In those answers Invoca took the first choice seventeen times and WhatConverts twelve.
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 4.20 | | | | | | |
| 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
10 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
3 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
WhatConverts16%#2 of 8Invoca0%#8 of 8WhatConverts10%#2 of 8Invoca6%#4 of 8Invoca67%#1 of 9WhatConverts0%#9 of 9What the models said about WhatConverts
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“The call tracking platforms to avoid or be cautious about are CallRail, CallTrackingMetrics, and WhatConverts.” Llama 4 Maverick · negative prompt · hard negative
“recent negative labels suggest caution around enterprise scalability and attribution accuracy consistency” Qwen 3.7 Flash · negative prompt · soft negative
“Lighter weight, great value, but may lack enterprise features” DeepSeek V4 Flash · scale prompt · soft negative
“For most budget-conscious companies, WhatConverts at $30/month offers the best combination of affordability, transparency, and features.” DeepSeek V4 Flash · budget prompt · first choice
“Often ranked #1 for marketers and agencies... For most marketers/agencies focused on ad ROI → Start with WhatConverts or CallRail.” Grok 4.20 · comparative prompt · first choice
“If you're an SMB or agency wanting straightforward marketing attribution: CallRail or WhatConverts” DeepSeek V4 Flash · comparative 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 seven in this category shown.
“Massive bill understatements: Base fees understated actual bills by 45-62%” GLM 4.7 FlashX · negative prompt · hard negative
“Opaque Pricing & Annual Commitments ... For SMBs spending under $15,000/month on ads, the setup time and feature complexity will outweigh the benefits.” Gemini 3.5 Flash · negative prompt · soft negative
“custom pricing can make it expensive and difficult to compare; it may be excessive for a small or mid-sized business” Perplexity Sonar · negative prompt · soft negative
“The market leader for mid-market and enterprise marketing/sales teams. Best-in-class Salesforce integration and enterprise conversational AI.” Gemini 3.5 Flash · scale prompt · first choice
“you'll likely want to prioritize platforms that offer enterprise-grade features like Invoca or CallTrackingMetrics” GLM 4.7 FlashX · scale prompt · first choice
“platforms like Ringba, Invoca, and Phone.com tend to receive more consistent positive feedback” Qwen 3.7 Flash · negative 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.