B Evidence Grade B Graded accuracy verified by the review judge Safe to Cite Current

1,278

1,278 -- content pieces produced for QRxLabs (2026)

2026  · n=516  · AMT

QRxLabs generated 1,278 content pieces across 516 creators over a 7-month product seeding program.

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Attribution: AMT View source
Lighthouse Research Team
Last verified:  ·  How we verify data →
Source verified Evidence graded
Value
1,278
Unit
Count
Data Vintage
2026
Entity
QRxLabs
Sample Size
516
B
Strong, reliable evidence

Sourced from a well-regarded research firm or industry leader with transparent methodology and a reasonably large sample.

64/100 confidence

Single source - not yet corroborated

Extraction
75
Source Trust
60
Citation Chain
20
Independence
30
Methodology
45
Freshness
95
AMT Primary Tier B
https://amt.ai/blog/product-seeding ↗
Confidence: 53/100 Vintage: 2026 Channel: Common Crawl
Source Article
Product Seeding: How To Run It at Scale (2026 Guide)
Original Research
AMT · Original study ↗

Vendor case study of automated product seeding program

Methodology documented
Industrymarketing
Plain Text
QRxLabs: 1,278 content pieces produced. Source: AMT (2026). Via Lighthouse Intelligence -- https://lighthousedata.io/data/qrxlabs-creators-content-seeding
HTML Embed
<blockquote cite="https://lighthousedata.io/data/qrxlabs-creators-content-seeding" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>1,278</strong> -- content pieces produced for QRxLabs<br><small>Source: AMT (2026) · <a href="https://lighthousedata.io/data/qrxlabs-creators-content-seeding" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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