We are
data scientists.
Authority engineered for
Google and AI is a data science problem.
Most agencies are not data science companies.
We are.
Google doesn’t count links. It computes crawl probability, entity authority, retrieval confidence.
The DR score your agency reports is a proxy — and proxies break down exactly where precision matters most.
LLMs don’t think in backlinks at all. They think in citation sources. Co-citation frequency.
Entity authority. Document authority. Reference weighting.
Your brand’s position inside the stable citation clusters that LLMs have already formed.
Most agencies have no methodology for any of this. Not because they’re not trying — because they were built for a model that no longer maps to how search works.
WLDM was built for the model that does.
We map the authority layer of
the internet.
Two retrieval systems run on authority. Google computes ranking probability. LLMs compute citation probability. WLDM engineers both — using one authority infrastructure, one ML pipeline, and one methodology that traditional agencies have not built.
Citation Engineering
We don’t just build links. We engineer ranking probability. Every link changes crawl probability, entity association strength, and ranking probability — simultaneously. WLDM selects each one using ML: BERT entity extraction and cosine similarity. Authority graph construction.
Key Metric:
~50% traffic increase within 1–2 months
AI Citation Engineering — GEO
We engineer your brand’s position inside AI citation clusters. WLDM identifies stable clusters using harmonic centrality and semantic similarity — then engineers your brand into them. The world’s first AI Citations Outreach Service.
AI Probability:
Rank #1 on Google = 47% Citation Prob.
The research is ours.
The results are our clients'.
hrs AI citation research — world's largest study
ML model accuracy across 5 classifiers
AI citation probability at Google rank #1
Value of an AI visitor vs. traditional organic
To double non-brand organic traffic — Stake.com
WLDM Research Lab
1,000+ hours of AI citation research. ML models trained to 99%+ accuracy.
A proprietary 9- tool SEO and AI citation toolkit built from the ground up.
The WLDM Research Lab exists because the methodology to engineer authority across Google and AI retrieval systems didn’t exist.
We built it. BERT entity extraction. Cosine similarity analysis. Five-model classification systems. Harmonic centrality mapping for citation clusters.
The result: the world’s first AI Citations Outreach Service. Deployed for Fortune 500 companies and private equity. The methodology is not theoretical. It is infrastructure.
AI-driven SEO data science
for humans.
Research proof points
World's largest link-building database
11M+ AI citations analysed — the world's largest study
9 proprietary tools in the WLDM SEO + AI citation toolkit
ML models at 99%+ accuracy — 5 classifiers, validated
World's First AI Citations Outreach Service
18 years building search authority at enterprise scale
From below rank 30 to #1 for "Online Casino."
10 months. ML-driven. No shortcuts.
“Online Casino” — 85,000 monthly searches, keyword difficulty 95 (Super Hard), $549,000 in monthly traffic value, requiring approximately 1,400 referring domains to compete in the
top 10.
This is not a keyword you stumble into. This is a keyword you engineer your way to.
Stake.com engaged WLDM to take them from below position 30 to the top. Using ML-driven Citation Engineering — selecting citation pathways based on page-level traffic, topical relevance, and cosine similarity — we constructed the authority graph required to rank and hold it.
Position #1 achieved within 10 months. Non-brand organic traffic doubled in 90 days.
“Within 90 days of engagement, WLDM’s strategic link acquisition efforts helped us secure #1 positions for several ultra-competitive keywords and doubled our non-brand organic traffic.”
Our Trusted Clients
Peter Macinkovic
Stake.com
Rob Barry
Hike & Byke