How AI assistants read interview-peer.com
What a machine reading this site receives: identity files, schema, crawler policy, the entity behind the name. Read weekly by a crawler, no model call. For the people who run Interview-Peer; the catalogue page is for the people who choose it.
60/100
- Entity0/25
- Machine-readable31.9/35
- Retrieval access17/20
- Footprint10.6/20
6 retrieval crawlers are blocked on /join/, /my-feedback/, /profile-settings/, /schedule/, /session/
highThe heaviest thing this reading found wrong, named in the words our fix list uses. Read off the site itself, not from a model.
23/100
Does anybody use it: audience (Tranco list, Chrome UX report, estimated organic visits), installs from registries, referring domains. Never votes, never reviews.
- Audience0/40
- Installsnot read
- References15.9/30
87/100
Is anybody home: the homepage answers, the content moves, something ships, somebody hires. Each part a dated reading from a public place; a part not read is left out and the total rescaled.
- Answers30/30
- Content moves21.9/30
- Shipsnot read
- Hiringnot read
- Interview-Peer60
- Atlas medianof 18947 rated61
- Retrieval botspartialverify
Whether the bots that decide citations are let in. Training bots are a separate list and are not counted here.
- llms.txtyesverify
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 itemnone
Matched on the official website, never on the name. The substrate under the knowledge graph an engine resolves names against.
- Server-rendered words513swept
What a reader without JavaScript receives from the homepage.
- Identity score91/100swept
The analyzer's crawl-only section, 0-100: identity files, schema, crawler policy, sitemap. Not the analyzer 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 Interview-Peer's Atlas Readiness?
60 of 100 on 2026-10-14, computed from four parts — entity, machine-readable, retrieval access, footprint — all four parts read.
Does Interview-Peer let AI retrieval bots in?
Partly. On 2026-10-14, interview-peer.com fenced some paths from retrieval crawlers.
Does Interview-Peer publish an llms.txt?
Yes: interview-peer.com/llms.txt was present on 2026-10-14.
Is Interview-Peer a Wikidata entity?
No item whose official website is interview-peer.com was found on 2026-10-14.
How to read a row
- swept
- Read by a crawler: HTTP and parsing, no model call. Every tool, 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.