GUIDEcx vs Planhat
Seven of fourteen models named GUIDEcx first on the direct prompt; one named Planhat. GUIDEcx was named by fourteen of the fourteen models and Planhat by twelve and GUIDEcx carries 51 labels and Planhat 20, 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 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 client onboarding platforms page.
By framing
GUIDEcxFirst choices, of fourteen modelsPlanhat
Across every category in the November 2026 Edition, GUIDEcx and Planhat were named in the same answer thirty-six times, of the 147 answers naming GUIDEcx and the 187 naming Planhat. In those answers Planhat took the first choice one time and GUIDEcx nine.
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 | | | | |
GUIDEcx Planhat first choice named as an alternative argued againstblank: not namedEach cell is one answer, GUIDEcx on the left and Planhat on the right.The direct prompt
GUIDEcx first, Planhat not the choice
7 of 14 modelsPlanhat was named in the answer but not as the choice, or not at all.Planhat first, GUIDEcx an alternative
1 of 14 modelsGUIDEcx was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
6 of 14 modelsThe answer put something else first and named one of the two as an alternative.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
GUIDEcx24%#2 of 13Planhat0%#7 of 13What the models said about GUIDEcx
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Frequently cited in Reddit threads ... as a "mixed bag" for client adoption ... High implementation effort; some users report it feels rigid.” Grok 4.20 · negative prompt · soft negative
“Over-Engineered Enterprise Implementation Software (for SMBs & Agencies)... Complex enterprise implementation tools (e.g., GuideCX)” Gemini 3.5 Flash · negative prompt · soft negative
“Starting at ~$143/user/month with minimum seat requirements and steep administrative setup—may be overkill for smaller teams” Kimi K2 · negative prompt · soft negative
“Best for mid-market implementation teams handling multi-stakeholder projects, offering guest task views and automated email updates” Claude Haiku 4.5 · direct prompt · first choice
“GUIDEcx is a recommended customer implementation and onboarding project tool for mid-sized B2B companies” Llama 4 Maverick · paraphrase prompt · first choice
“GUIDECX — strong for structured, collaborative onboarding projects and shared accountability.” GPT-5.4 mini · comparative prompt · first choice
What the models said about Planhat
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“Planhat users regularly report integration issues that cause challenges in data management and trustworthiness among teams.” Muse Glimmer 30B · negative prompt · soft negative
“Onboarding is a module, not the core product ... Not ideal if onboarding is your primary pain point” Kimi K2 · comparative prompt · soft negative
“Rocketlane and Planhat are the top recommendations” Mistral Small · direct 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.