Partial scanUnclassified · Blog property/Scanned 11 Sept 2026, 02:10 UTC/1 browser pass
hbr.org
0 human and 1 agent dimensions measured from the pages checked; remaining dimensions are not scored.
Partial scanThe walk did not reach everything it looks for. 9 dimensions are recorded as not measured: Programmatic onboarding, Pricing legibility, Agent-aware instrumentation, Machine-fetchable trust, Commercial rails, Steps to first value, Required fields, Verification walls and Error recovery. They are not scored as zero, and the composite is computed from the doors that were measured.
Human door
Not measured
What a first time visitor meets between landing and first value. 0 of 4 measured.
Agent door
16
What a machine can do on the site with nobody watching. 1 of 6 measured.
Door Gap
Not measured
One door was not measured on this scan, so there is no Door Gap to report.
Composite
16
Agent door only. The human door could not be measured on this scan.
The one issue worth fixing
Ordered by what the evidence says is costing most. Written for whoever owns the site, not whoever builds it.
1Machine discoverability
No valid llms.txt was identified at the site root.
Publish /llms.txt: a short markdown index of the pages an assistant should read first.
OwnerSite ownerEffort15 minutesDimension16Blocking
See the fix and the evidenceDid this report tell you something you did not know?
Full issue list
1 across both doors. The first is open to everyone; the rest open with a work email or a free account.
What the scan saw
/llms.txt: not found (404)
Checked URL: https://hbr.org/llms.txt
Assistants that read llms.txt get a curated map of the site instead of guessing from the homepage.
The fix
Publish /llms.txt: a short markdown index of the pages an assistant should read first.
Fixed something? Rescan and the score updates the same hour, and every rescan is kept so you can show the before and the after. The full audit of what the agents checked is at the . go deeper.
This is a basic scan, so it raises the three issues the deterministic evidence supports. A deep scan sends two agents over the site and raises up to ten, each with cited evidence and the screens to prove it.
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A deep scan walks the site with two agents, records cited evidence and screenshots, and keeps a mission timeline. It comes with the paid plans. Making an account costs nothing and gives you one basic scan a month.
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The score, the audit trail and the first issue stay public. The rest opens with a work email or an account.
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Keep this report and see the number move
This report is permanent. The site it describes is not. The address never changes, so a link sent today still opens next year, and a free account keeps it on a dashboard and rescans it once a month.
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The badge always shows the latest scores for this domain and links back to the report. Put it in a README or a footer.
What the agents checked
The audit trail. Ten dimensions, 9 not measured. Not measured is not zero.
Agent door16 of 100
Machine discoverability
Robots.txt blocks 2 training crawlers, a choice about model weights rather than about buyers. Our browser received a refusal or a stripped page at the checked URL. No user agent rule refused the tested retrieval crawler names.
6 observations recorded.
16Blocking
Programmatic onboarding
Not applicable to this scanned surface.
Not measured
Pricing legibility
Not applicable to this scanned surface.
Not measured
Agent-aware instrumentation