Spidergap vs FeedbackPulse
One of fourteen models named Spidergap first on the direct prompt; zero named FeedbackPulse. Spidergap was named by twelve of the fourteen models and FeedbackPulse by eight and Spidergap carries 34 labels and FeedbackPulse 12, 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 360 feedback page.
By framing
SpidergapFirst choices, of fourteen modelsFeedbackPulse
Across every category in the October 2026 Edition, Spidergap and FeedbackPulse were named in the same answer twenty-three times, of the 109 answers naming Spidergap and the 73 naming FeedbackPulse. In those answers FeedbackPulse took the first choice four times and Spidergap two.
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 | | | |
Spidergap FeedbackPulse first choice named as an alternative argued againstblank: not namedEach cell is one answer, Spidergap on the left and FeedbackPulse on the right.The direct prompt
Spidergap first, FeedbackPulse not the choice
1 of 14 modelsFeedbackPulse was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
3 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
10 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
Spidergap22%#2 of 14FeedbackPulse5%#5 of 14Spidergap6%#5 of 14FeedbackPulse6%#6 of 14Spidergap4%#7 of 11FeedbackPulse2%#– of 11What 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
What the models said about FeedbackPulse
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“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
“the best 360-degree feedback tool is usually FeedbackPulse if you need a truly low-cost option for a small team” Perplexity Sonar · budget 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.