Beamery
Connects fragmented workforce data on skills, roles and people to enable talent planning, matching and internal mobility decisions.
Beamery is a British human resources software company headquartered in London.First sentence of the English Wikipedia article
84/100
- Entity25/25
- Machine-readable22.1/35
- Retrieval access20/20
- Footprintnot read
- Beamery84
- HR medianof 56 rated61
- Atlas medianof 537 rated61
- Retrieval botsopenverify
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 itemQ116675044Wikipedia article
Matched on the official website, never on the name. The substrate under the knowledge graph an engine resolves names against.
- Server-rendered words1.8kswept
What a reader without JavaScript receives from the homepage.
- Identity score63/100swept
The analyzer's crawl-only section, 0-100: identity files, schema, crawler policy, sitemap. Not the analyzer score.
- Founded2012-12-28P571
- HeadquartersLondonP159
- Employees200P1128
- Industrysoftware industryP452
63/100
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 Beamery?
Connects fragmented workforce data on skills, roles and people to enable talent planning, matching and internal mobility decisions.
What is Beamery's Atlas Readiness?
84 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 #4 of 56 rated HR tools.
Does Beamery let AI retrieval bots in?
Yes. On 2026-09-15, robots.txt at beamery.com disallowed none of the retrieval crawlers we check.
Does Beamery publish an llms.txt?
No: there was no /llms.txt at beamery.com on 2026-09-15.
Is Beamery a Wikidata entity?
Yes: Q116675044, 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.