One of fourteen models named Asset Panda first on the direct prompt; one named ServiceNow IT Asset Management. Asset Panda was named by twelve of the fourteen models and ServiceNow IT Asset Management by fourteen and Asset Panda carries 22 labels and ServiceNow IT Asset Management 44, so the shares are not directly comparable.
Named in one category 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 IT asset management page.
Across every category in the November 2026 Edition, Asset Panda and ServiceNow IT Asset Management were named in the same answer forty times, of the 74 answers naming Asset Panda and the 150 naming ServiceNow IT Asset Management. In those answers ServiceNow IT Asset Management took the first choice thirteen times and Asset Panda two.
| 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 |
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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“Asset Panda has no discovery functionality—all asset data entry is manual—and is not designed for enterprise ITAM, software licensing, or compliance tracking” Claude Haiku 4.5 · negative prompt · soft negative
“complaints include a nearly useless search bar ... slow mobile app, time-consuming customization, and potentially high pricing” Grok 4.20 · negative prompt · soft negative
“Do not buy a hardware-first tool expecting it to automate software compliance or SaaS discovery” Gemini 3.5 Flash · negative prompt · soft negative
“Asset Panda and InvGate Asset Management are top choices due to their ease of use, comprehensive features, and strong customer feedback.” Mistral Small · direct prompt · first choice
“Asset Panda works well for IT and operations teams that want mobile-driven audits plus approval flows” Muse Glimmer 30B · comparative prompt · alternative
“Choose Asset Panda when configurable asset workflows and mobile inventory operations matter more” Perplexity Sonar · direct prompt · alternative
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Multiple AI-driven reviews recommend avoiding ServiceNow unless you are a large enterprise with dedicated administrators and a substantial budget.” Mistral Small · negative prompt · hard negative
“Avoid purchasing top-tier enterprise platforms (e.g., ServiceNow) unless you have dedicated full-time administrative staff” Gemini 3.5 Flash · direct prompt · hard negative
“Avoid enterprise platforms such as ServiceNow unless the company needs their extensive ITSM and governance capabilities” Perplexity Sonar · budget prompt · hard negative
“ServiceNow received the highest rating of 8.6 among the leaders, is the most popular solution in terms of searches by peers, and holds the largest mind share of 11.8%.” Muse Glimmer 30B · comparative prompt · first choice
“It is widely considered the "Gold Standard" because it unifies Hardware Asset Management (HAM), Software Asset Management (SAM), and Cloud Insights” GLM 4.7 FlashX · comparative prompt · first choice
“Often considered the "Gold Standard" of ITAM... ServiceNow ITAM leads for enterprise integration” MiniMax M2.5 · 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.