Ramp
Issues corporate cards and automates expense reports, invoice processing, and accounting entries across spend categories.
Ramp Business Corporation is an American multinational financial technology company that offers corporate charge cards, expense management, and bill-payment software.First sentence of the English Wikipedia article
65/100
- Entity25/25
- Machine-readable9.8/35
- Retrieval access17/20
- Footprintnot read
- Ramp65
- Finance medianof 32 rated61
- Atlas medianof 537 rated61
- Retrieval botspartialverify
Whether the bots that decide citations are let in. Training bots are a separate list and are not counted here.
- llms.txtnoverify
A plain-text index at /llms.txt. Optional; read by some tools.
- Organization schemano
schema.org Organization markup on the homepage, which is what a resolver reads a company's name and links from.
- Wikidata itemQ123190361Wikipedia article
Matched on the official website, never on the name. The substrate under the knowledge graph an engine resolves names against.
- Server-rendered words1.6kswept
What a reader without JavaScript receives from the homepage.
- Identity score28/100swept
The analyzer's crawl-only section, 0-100: identity files, schema, crawler policy, sitemap. Not the analyzer score.
- Founded2019-03-01P571
- HeadquartersNew YorkP159
- IndustryfintechP452
28/100
identity score
Not measured with the analyzer.
The full run asks four engines about this company by name. It runs on request, not on a schedule.
What is Ramp?
Issues corporate cards and automates expense reports, invoice processing, and accounting entries across spend categories.
What is Ramp's Atlas Readiness?
65 of 100 on 2026-09-15, computed from four parts — entity, machine-readable, retrieval access, footprint — out of 80 of 100 points — footprint not read. It places #8 of 32 rated Finance tools.
Does Ramp let AI retrieval bots in?
Partly. On 2026-09-15, ramp.com fenced some paths from retrieval crawlers.
Does Ramp publish an llms.txt?
No: there was no /llms.txt at ramp.com on 2026-09-15.
Is Ramp a Wikidata entity?
Yes: Q123190361, matched on its official website.
How to read a row
- swept
- Read by a crawler: HTTP and parsing, no model call. Every row, every week.
- measured
- The full analyzer run, asked of four engines. Shown only where the company agreed to show it.
Can a retrieval engine find, resolve and quote this site? Four parts, each read by the sweep, each shown beside the total.
Entity 25 · Machine-readable 35 · Retrieval access 20 · Footprint 20
A part that was never read is left out and the total is rescaled to what was. It is never counted as zero.