Six of twelve models named Ramp first on the direct prompt; seven named Airbase. Both were named by all twelve models and Ramp carries 59 labels and Airbase 43, so the shares are not directly comparable.
Named in seventeen categories this edition.
Named in seven 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 spend management platforms page.
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. One of one in this category shown.
“Go with Ramp if you are a US-based business looking for a free, exceptionally easy-to-use platform that actively helps you reduce SaaS and vendor costs.” Gemini 3.5 Flash · comparative prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Airbase was acquired by Paylocity... it's now integrated into Paylocity's broader HCM suite” Kimi K2 · paraphrase prompt · soft negative
“Occasional slow approvals, card acceptance issues, or PO rework.” Grok 4.1 Fast · negative prompt · soft negative
“the strongest *default* pick is Airbase if your priority is unifying cards, expenses, AP, approvals, and procurement in one system” Perplexity Sonar · direct prompt · first choice
“### 1. Airbase ... Why it stands out: Purpose-built for mid-market finance teams needing real control before spend happens” Kimi K2 · direct prompt · first choice
“Best for Complexity & Multi-Entity Operations: Airbase ... frequently cited as the go-to for mid-market companies” Qwen 3.7 Flash · direct prompt · first choice
Comparisons are drawn for the top three products in each category. The output is the models' output; nothing here is a recommendation by the index.