Lever Nurture
Applicant tracking system that automates scheduling, screening, and candidate evaluation for recruiting teams.
Lever is a software company headquartered in San Francisco, California, and Toronto, Canada that provides an applicant tracking system for hiring.First sentence of the English Wikipedia article
92/100
- Entity25/25
- Machine-readable31.5/35
- Retrieval access17/20
- Footprintnot read
- Lever Nurture92
- HR medianof 56 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 schemayes
schema.org Organization markup on the homepage, which is what a resolver reads a company's name and links from.
- Wikidata itemQ22077774Wikipedia article
Matched on the official website, never on the name. The substrate under the knowledge graph an engine resolves names against.
- Server-rendered words1.3kswept
What a reader without JavaScript receives from the homepage.
- Identity score90/100swept
The analyzer's crawl-only section, 0-100: identity files, schema, crawler policy, sitemap. Not the analyzer score.
- Founded2012P571
- HeadquartersSan FranciscoP159
90/100
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 Lever Nurture?
Applicant tracking system that automates scheduling, screening, and candidate evaluation for recruiting teams.
What is Lever Nurture's Atlas Readiness?
92 of 100 on 2026-09-16, computed from four parts — entity, machine-readable, retrieval access, footprint — out of 80 of 100 points — footprint not read. It places #2 of 56 rated HR tools.
Does Lever Nurture let AI retrieval bots in?
Partly. On 2026-09-16, lever.co fenced some paths from retrieval crawlers.
Does Lever Nurture publish an llms.txt?
No: there was no /llms.txt at lever.co on 2026-09-16.
Is Lever Nurture a Wikidata entity?
Yes: Q22077774, 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.