How AI assistants read getuserfeedback.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 In-app survey tool for SaaS PMs • getuserfeedback.com; the catalogue page is for the people who choose it.
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61/100
- Entity0/25
- Machine-readable31.5/35
- Retrieval access17/20
- Footprintnot read
7 retrieval crawlers are blocked on /app, /terms
highThe heaviest thing this reading found wrong, named in the words our fix list uses. Read off the site itself, not from a model.
0/100
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
- Referencesnot read
100/100
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 moves30/30
- Shipsnot read
- Hiringnot read
- In-app survey tool for SaaS PMs • getuserfeedback.com61
- Productivity medianof 1256 rated60
- Atlas medianof 24881 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 itemnone
Matched on the official website, never on the name. The substrate under the knowledge graph an engine resolves names against.
- Server-rendered words520swept
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.
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 In-app survey tool for SaaS PMs • getuserfeedback.com's Atlas Readiness?
61 of 100 on 2026-10-15, computed from four parts — entity, machine-readable, retrieval access, footprint — out of 80 of 100 points — footprint not read. It places #703 of 1157 rated Productivity tools.
Does In-app survey tool for SaaS PMs • getuserfeedback.com let AI retrieval bots in?
Partly. On 2026-10-15, getuserfeedback.com fenced some paths from retrieval crawlers.
Does In-app survey tool for SaaS PMs • getuserfeedback.com publish an llms.txt?
No: there was no /llms.txt at getuserfeedback.com on 2026-10-15.
Is In-app survey tool for SaaS PMs • getuserfeedback.com a Wikidata entity?
No item whose official website is getuserfeedback.com was found on 2026-10-15.
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.
Cookies
Before we count this visit
Analytics and ad measurement tell us which pages and which of our ads do their job: Google Analytics and Google Ads, the Meta pixel, Yandex Metrica, and one first-party id of our own. Nothing is stored until you answer, and declining changes nothing about the site.