Cutting through SEO myths, one patent at a time.
Most SEO content is opinions recycled from Twitter. We decided to do something different.
Every claim on this channel is backed by at least one of: a Google patent, official Google documentation, a verified A/B test, or peer-reviewed research.
We're not gurus. We're researchers who happen to do SEO.
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I turn Google's patents into SEO & GEO that actually ranks.
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9+ years
In SEO & marketing
Former agency founder · ecommerce & B2B
Weekly
Patent-backed research
YouTube + newsletter · public proof
Patent-first
No guru vibes
Google docs, arXiv & verifiable tests
I'm @LudovicRrd. I built The SEO Papers because most SEO content sounds confident and cites nothing. Hot takes without patents, docs, or data weren't good enough.
Every week I go to the source: Google patents, Search Central, peer-reviewed papers, and tests you can reproduce. The newsletter and YouTube channel exist to answer one question: what does the evidence actually say?
The same research powers our SEO & GEO agency. If you want the method applied to your site (not just explained), start with a free audit on your domain.
Experience
2026 to today
CurrentFounder & Host
The SEO PapersNewsletter and YouTube on algorithm updates, AI Overviews, and GEO, backed by Google's patents and official documentation. Patent deep dives, myth busters, testable patterns.
2026 to today
CurrentFounder
Topical OSAI semantic SEO platform: seven AI agents apply 392 patent-based rules to read patents, map topical clusters, and write content briefs, so one person can do the work of a full SEO team. Free to start.
2026 to today
CurrentFounder · SEO & GEO Agency
The SEO PapersPatent-backed SEO & GEO for ecommerce and content-driven sites. Free audit on your domain, then hands-on retainer partnerships. Founder-led, boutique by choice.
2016 to 2025
Founder & CEO
Digital Marketing Partner
Digital marketing agency: SEO, content, paid media, and lead generation for B2B and B2C clients across France.
Word vectorsPatent US 9,037,464, signed by Tomas Mikolov, Kai Chen, Greg Corrado and Jeffrey Dean, describes how to learn numeric representations of words from their context, so that similar words sit close together and analogies become arithmetic. The 2 architectures and what they mean for semantic SEO.
PersonalizationPatent US 9,298,777 builds a user profile from past queries, visited pages and behavior, splits it into term, category and link profiles, and combines each result's generic score with its match with the profile, weighted by a confidence score. The formulas and what they mean for returning visitors.
Query understandingPatent US 8,538,984 validates a candidate synonym for a query term using other terms of the query, even when they are not adjacent. How skip words, adjacent and floating contexts, confidence thresholds and definitive non-synonyms work, and what they mean for long queries.
LinksPatent US 9,558,233, co-signed by Hyung-Jin Kim and Paul Haahr, scores pages by comparing the links they receive with the clicks those links get, then propagates quality from seed pages to sources and targets. The pull-push process and what it means for link building.
Duplicate contentPatent US 6,658,423, co-signed by Monika Henzinger, gives each page a few fingerprints built from its words and treats 2 pages as near-duplicates if any fingerprint matches. Where duplicates come from, how the method works, and what it means for e-commerce and syndicated content.
Anchor textPatent US 7,308,643, co-signed by Jeffrey Dean and Sanjay Ghemawat, describes how Google's crawler logs every link with its surrounding text, then indexes the target page with that text. Why it matters for images, unreachable pages and authority, and what it means for your links.
Every insight we share is backed by research from these trusted sources:
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