How often AI recommends Ramp.
Ramp is named in 68.5% of AI answers to spend management & corporate cards buying questions. That ranks it 2 of 37 companies, measured across ChatGPT, Claude and Gemini.
Read the rank carefully
Ramp is level with Brex in spend management & corporate cards.
Their ranges overlap, so the order between them is something this sample cannot separate. A second scan could print them the other way round.
About Ramp
Ramp Business Corporation is a prominent American fintech company based in New York City, with additional offices in Miami and San Francisco. Founded in 2019, Ramp has transformed from a corporate credit card provider into a comprehensive financial operations platform. The company aims to help businesses save time and money by automating finance tasks and optimizing spending policies. Ramp serves a diverse clientele of over 50,000 customers, including small-to-medium businesses and large enterprises. Its platform features corporate charge cards, automated expense management, accounts payable solutions, procurement workflows, and accounting automation. Ramp's technology leverages AI and machine learning to enhance expense tracking and vendor management. The company has raised approximately $2.53 billion in funding and is valued between $32 billion and $44 billion, with annualized revenue exceeding $1 billion. Ramp is recognized for its innovative approach, having received accolades such as "Most Innovative Finance Company of 2022" by Fast Company.
By category
One category, one dated reading.
Each row opens the full category reading, with the questions Ramp misses and the rivals named instead.
By LLM
Which LLMs name Ramp.
A company carried by one LLM loses most of its visibility the day that LLM changes its answer. This is the split in spend management & corporate cards, its strongest category.
What AI actually says
“Ramp combines corporate cards, expense management, bill payments, travel, procurement, and accounting automation”
A scanned AI answer · · Spend management & corporate cards
How to read the range
Each rate comes from 54 AI answers. A sample that size cannot pin a rate to one decimal, so every figure on this page carries its 95% range. A range built this way holds the true rate 19 times in 20.
Two companies whose ranges overlap are level, whatever order the leaderboard prints them in. The same question set run twice an hour apart has moved a rate by up to 11 points, which is why we compare scans at least 7 days apart and never read a small move as a trend.
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