Effy AI vs Spidergap
Zero of fourteen models named Effy AI first on the direct prompt; one named Spidergap. Effy AI was named by eleven of the fourteen models and Spidergap by twelve and Effy AI carries 17 labels and Spidergap 34, so the shares are not directly comparable.
Named in six 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 360 feedback page.
By framing
Effy AIFirst choices, of fourteen modelsSpidergap
Across every category in the October 2026 Edition, Effy AI and Spidergap were named in the same answer forty-eight times, of the 116 answers naming Effy AI and the 109 naming Spidergap. In those answers Spidergap took the first choice fourteen times and Effy AI fifteen.
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 | | | |
Effy AI Spidergap first choice named as an alternative argued againstblank: not namedEach cell is one answer, Effy AI on the left and Spidergap on the right.The direct prompt
Spidergap first, Effy AI an alternative
1 of 14 modelsEffy AI was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
2 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
11 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
Effy AI24%#1 of 14Spidergap22%#2 of 14Spidergap4%#7 of 11Effy AI0%#– of 11What the models said about Effy AI
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“The best 360-degree feedback tool for a company with a limited budget is Effy AI, which offers a free plan with unlimited reviews” Llama 4 Maverick · budget prompt · first choice
“Start with Effy AI (free up to 5 users) or FeedbackPulse (free up to 10 users) to test the process with no upfront cost.” GLM 4.7 FlashX · budget prompt · first choice
“"Best free 360 feedback software for small teams starting out"; "Zero budget, <5-10 people: Effy AI free plan"” Muse Glimmer 30B · budget prompt · first choice
What the models said about Spidergap
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“or cheap standalones like Spidergap (per-assessment, less integrated)” Grok 4.1 Fast · paraphrase prompt · hard negative
“Spidergap specifically has a review flagging confidentiality: "The only thing that was challenging ... inability of the software to keep participants data completely confidential"” Muse Glimmer 30B · negative prompt · soft negative
“Carries a notable share of negative feedback (around 33% in some AI model analyses of reviews)” Grok 4.1 Fast · negative prompt · soft negative
“1. Spidergap — Best Standalone 360 Tool ... or Spidergap if you want a focused, cost-effective 360 tool” GLM 4.7 FlashX · direct prompt · first choice
“Spidergap is usually the safest "best" pick for a true 360-degree feedback tool” GPT-5.4 mini · budget prompt · first choice
“You mainly need to run 360 assessments: Start with Spidergap or TruScore.” GPT-6 Luna · comparative 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.