Advocacy Grade

globalfurnitureusa.com

Evidence collected August 31, 2026 · 42 polite, robots.txt-respecting requests · every claim cites what it saw

D

52.9/100 — advocacy readiness(reduced confidence: parts of the evidence were unobservable — see below)

Graded because the reader classified enough of this site to trust the measurement. For scale: of the 350 companies in this corpus, only 126 earned a grade — for the rest I withheld it rather than grade a site the reader could not read.

20.1/100
Content Supply
reduced confidence
92.9/100
Shareability
20.2/100
Employee & Culture
93/100
AI Discoverability

Read this before the numbers

This tool was built in a few days, on a stack of stated assumptions. I didn't have the time — or the inside knowledge of what buyers in this category actually optimize for — to be certain these are the metrics that matter most. The four categories and their weights are editorial judgment, not measurement: nobody has proven that these things cause employees to post, and I don't claim otherwise.

Where the evidence comes from: three of the four categories read only what your company has published on its own public site — the part you can fix on Monday. Half of Employee & Culture comes from somewhere else: aggregate counts of how many of your people posted in the last 90 days, from a licensed third-party index of public professional-network activity. Nothing here was scraped from LinkedIn by this tool. Those counts are records in an index, not a census — they undercount, they undercount small companies most, and you can't check them yourself — so each one says so where it appears, a zero is reported as "none in the index" and never as "nobody posts," and a company with fewer than 25 people in the index gets the number reported but not scored. No individual is named anywhere in this report.

To prioritize speed, this particular report was loaded using cached data; it was generated from evidence originally collected on August 31, 2026 rather than live. Reports are cached for 30 days. Every observation below is dated and cited.

What you can hold me to: every number cites its evidence and says where it came from, nothing unseen is guessed at, robots.txt is respected on every fetch, and when this tool can't read a site it says so instead of issuing a grade.

What was found — most fixable first

Ranked by impact × ease of fixing, not by category. Counts describe the pages actually read, and each finding cites them.

Issue

Your careers page could not be retrieved

2 careers location(s) were tried (https://globalfurnitureusa.com/careers, https://globalfurnitureusa.com/jobs) and none returned a readable page. Candidates researching you through tools and AI assistants hit the same wall.

Evidence — careers page probes
  • https://globalfurnitureusa.com/careers — HTTP 404
  • https://globalfurnitureusa.com/jobs — HTTP 404

The fix: Serve a crawlable careers page at /careers and link it from the homepage.

What's already working

Working

23 of 24 sampled pages name their author

95.8% of sampled content pages carry a named human author — employees are already visible in the work, which is the raw material of advocacy.

Evidence: content page sample — 23 of 24 sampled pages.

Working

All tracked AI user-agents may read your site

robots.txt permits all 25 tracked AI user-agents at the site root, so AI search engines and assistants that honor robots.txt can read and cite you.

Evidence: robots.txt.

Working

Your homepage share card is complete

The homepage carries og:title, og:description and og:image, so a shared homepage link renders a full preview card.

Evidence: homepage HTML.

Working

Share controls are on nearly every sampled page

23 of 24 sampled pages (95.8%) carry a visible share control.

Evidence: content page sample — 23 of 24 sampled pages.

What could not be seen

Anything the reader could not observe is listed here rather than guessed at or silently skipped.

Not visible

Content freshness is not observable here

Your sitemap publishes lastmod dates, but they look machine-generated rather than edit history (94.3% of all lastmod values fall on a single day (2026-08-31), which is the signature of a site-wide rebuild rather than individual edits.; Edits cluster onto 38 distinct days out of a 1830-day range, too few to represent ongoing publishing.), so I cannot read them as freshness and have not guessed.

Evidence: sitemap lastmod analysis.

The fix: Emit real last-modified dates in the sitemap. Credible freshness data helps every machine reader — search, AI, and tools like this one — represent you accurately.

For the record

Note

llms.txt is present

An llms.txt file is served. Reported for completeness: Google has said it does not support llms.txt, no major AI vendor has confirmed consuming it, and large-scale studies found no correlation with AI citations. I record it and weight it at zero.

Evidence: llms.txt fetch.

How the numbers break down

Weights: Content Supply 30% · Shareability 25% · Employee & Culture 25% (half what the site says, half what employees do) · AI Discoverability 20%. The weights are editorial judgment about what an advocacy program draws on — not the result of a study. Every row cites the observation behind it and says whether it was read from your site or from the licensed index.

Content Supply — 20.1/100 (reduced confidence)

SignalPointsWhat was observed
Volume floor10.2/4032 shareable pages after collapsing localized duplicates
Section diversity9/302 shareable section(s): blog, culture
Shareable share0.9/302.2% of the canonical inventory is shareable content

Recency was not scored: this site publishes lastmod dates, but they look machine-generated rather than edit history, so they cannot be read as freshness.

Shareability — 92.9/100

SignalPointsWhat was observed
Open Graph image — without one, a shared link renders as a bare grey box29.2/3520 of 24 sampled pages (83.3%)
Open Graph title on the shared card15/1524 of 24 sampled pages (100%)
Open Graph description on the shared card15/1524 of 24 sampled pages (100%)
A visible share control on the page28.7/3023 of 24 sampled pages (95.8%)
Twitter/X card tags (near-zero weight: X falls back to Open Graph)3/324 of 24 sampled pages (100%)
Canonical URL (near-zero weight: SEO hygiene, not a sharing condition)2/224 of 24 sampled pages (100%)

Employee & Culture — 20.2/100

SignalPointsWhat was observed
What the site says (50 of 100)
Culture / life-at pages4/151 culture page(s) in the canonical inventory
Careers page reachable0/7.5No careers page could be retrieved
Careers depth0/7.50 careers URL(s) in the sitemap
Named authors on content12/12.595.8% of sampled pages carry a named author
Employee-story signals0/7.50 of 1 sampled culture URL(s) match employee-story patterns (life-at, employee spotlight, meet-the-team)
What employees do (50 of 100)
Employees posting (last 90 days)4.2/251 of 25 indexed employees posted in the last 90 days (4%). licensed third-party index (not independently verifiable); 25 of 42 employees covered.
Decision-makers posting0/150 decision-makers posted in the last 90 days (0% of indexed employees). licensed third-party index (not independently verifiable).
Company page posting cadence0.1/101 company post(s) in the last 90 days in the index. licensed third-party index (not independently verifiable).

A qualitative read of the careers page (boilerplate vs. real human stories) is not included in this number.

Half of this category is measured from employee posting activity in a licensed third-party index (25 of 42 employees covered). Those counts are records in a third-party index, a lower bound the visitor cannot verify independently; the other half is what the website itself shows.

AI Discoverability — 93/100

SignalPointsWhat was observed
AI crawler access45/45All 25 tracked AI user-agents are permitted at the site root
Content-Signal coherence9/15No Content-Signal declared. Neither a grant nor a restriction — scored neutrally.
Structured data39/4019 schema.org type(s) on the homepage; 95.8% of sampled content pages carry Article schema
llms.txt0/0Present. Scored at zero weight deliberately: Google has said it does not support llms.txt, no major AI vendor has confirmed consuming it, and large-scale studies found no correlation with AI citations.

robots.txt compliance is voluntary and advisory. This reports the declared policy; it is not a claim that any crawler was actually blocked.