Whatfix vs Appcues
Two of twelve models named Whatfix first on the direct prompt; one named Appcues. Both were named by all twelve models and Whatfix carries 46 labels and Appcues 41, so the shares are not directly comparable.
Named in two categories this edition.
Named in three categories 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 digital adoption and onboarding page.
By framing
WhatfixFirst choices, of twelve modelsAppcues
Across every category in the September 2026 Edition, Whatfix and Appcues were named in the same answer eighty times, of the 145 answers naming Whatfix and the 189 naming Appcues. In those answers Appcues took the first choice six times and Whatfix seventeen.
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 | | | | | |
Whatfix Appcues first choice named as an alternative argued againstblank: not namedEach cell is one answer, Whatfix on the left and Appcues on the right.The direct prompt
Whatfix first, Appcues an alternative
2 of 12 modelsAppcues was named in the answer but not as the choice, or not at all.Appcues first, Whatfix not the choice
1 of 12 modelsWhatfix was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
8 of 12 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
1 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
Whatfix15%#3 of 11Appcues6%#6 of 11What the models said about Whatfix
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“you will want to avoid heavy enterprise Digital Adoption Platforms (DAPs) like WalkMe, Whatfix, and Pendo” Gemini 3.5 Flash · budget prompt · hard negative
“Avoid WalkMe, Whatfix, and Pendo” Mistral Small · negative prompt · hard negative
“not realistic for limited budgets” DeepSeek V4 Flash · budget prompt · hard negative
“the best choice is usually Whatfix if your priority is a strong balance of enterprise-grade capability, implementation flexibility, and mid-market fit” GPT-5.4 mini · direct prompt · first choice
“Whatfix — Best Overall for Mid-Market B2B ... Whatfix offers the best balance of enterprise-grade features, customization, and reasonable pricing” DeepSeek V4 Flash · direct prompt · first choice
“Whatfix, Userlane, or Apty frequently offer the best balance of enterprise-grade capabilities, faster deployment, and more manageable TCO at your scale.” DeepSeek V4 Flash · scale prompt · first choice
What the models said about Appcues
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“Appcues - Analytics not as deep as Pendo - Can become messy if not managed carefully” GLM 4.7 FlashX · negative prompt · soft negative
“lacks native product analytics... pricing scales steeply based on Monthly Active Users” Gemini 3.5 Flash · negative prompt · soft negative
“For most mid-sized B2B companies starting out, Appcues is the safest and most scalable bet” Qwen 3.7 Flash · paraphrase prompt · first choice
“Appcues (fast, code-free, ~$249/mo, only 15% negative) are the consensus picks” DeepSeek V4 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.