Does ThirdLove have an llms.txt?
ThirdLove'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 ThirdLove
Founded 2013 · US
Heidi Zak and Dave Spector founded ThirdLove with a half-cup-size patent — moving the category from standard A/B/C/D-only sizing into 80+ sizes. The brand's fit-finder quiz captured millions of sizing data points and effectively crowd-sourced category R&D. Famous for the open-letter ad criticising Victoria's Secret in 2018 that became a viral marketing case study.
Public scale markers
Disclosed in filings, acquisitions or named press reporting — not estimates.
- 01Estimated $250M+ revenue range
- 02$55M Series D (2019, L Catterton)
- 03Founded on a patented half-cup-size technology
- 0411M+ fit-finder quiz completions
Notable for the llms.txt validator
ThirdLove's storefront is unusually data-rich because the fit-finder quiz drives most of the customer journey. The Schema + apps reflect that quiz-driven conversion architecture.
Declared in the file
- H1
- Agent Instructions — Thirdlove
- 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 www.thirdlove.com.
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=www.thirdlove.com preserved.
Open the live llms.txt ValidatorSee ThirdLove's full storefront analysis
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