Does Naadam have an llms.txt?
Naadam's llms.txt grades C (69/100) across 29 spec + AI-search-readiness checks. The file declares 5 sections and 7 canonical links for AI crawlers.
Validator score · 69/100
Live result · refreshed 2026-05-29
About Naadam
Founded 2013 · US
Matt Scanlan founded Naadam after a months-long trip across the Mongolian steppe, where he negotiated direct purchase agreements with goat-herding nomads. The brand's pricing positioning — cashmere sweaters at $75 instead of $400 — works because they removed three to four wholesale tiers from the supply chain. The "direct from the source" story is the entire marketing playbook.
Public scale markers
Disclosed in filings, acquisitions or named press reporting — not estimates.
- 01Estimated $40-60M revenue range
- 02Funded by VMG Partners + Kering ventures
- 03Direct relationships with 30+ Mongolian herder co-operatives
Notable for the llms.txt validator
Naadam is widely cited in DTC luxury circles as proof that supply-chain transparency can replace heritage as a brand moat. Lean, fast-iterating Shopify stack typical of $20-50M apparel DTC brands.
Declared in the file
- H1
- Agent Instructions — NAADAM
- Sections
- 5
- Links
- 7
Open findings
Top 4 of 4 non-passing checks. Open the live tool for every check + copy-paste fix.
- Has a blockquote summary right after the H1recommended
No `> blockquote` summary detected. Spec: "key information necessary for understanding the rest of the file".
- Links use spec-compliant `- [label](url)` markdownwarning
0/7 links are spec-compliant. The rest use plain URLs — most LLMs still parse them, but the spec is unambiguous.
- Most links carry a short descriptive noterecommended
0/7 links include a ":" note. Notes help LLMs decide which link to follow.
- Most links point at the same domainwarning
3/7 (43%) target naadam.co.
What this AI-search readiness signals
A C-grade llms.txt means the file exists but has structural problems — usually unparseable markdown, missing H1, or links that don't lead anywhere. These are common when a file gets hand-written without checking against the spec. Each finding ships with a copy-paste-ready markdown snippet on the live tool.
Cross-check with the Schema Audit — high-grade structured data + a clean llms.txt are the two pillars of AI-search visibility. Brands that win one tend to win the other.
Run live
These results refresh every 24 hours. To re-run the analysis right now — or to analyse a different storefront — open the live llms.txt Validator with ?url=naadam.co preserved.
Open the live llms.txt ValidatorSee Naadam's full storefront analysis
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