Large-scale correlation research built from over 350,000 LLM prompts and 150,000 search engine queries, across 100 industries and 1,100 buyer personas. Every result is cross-referenced against nearly 15 billion web pages, the entire history of Reddit, all of Wikipedia, and billions of links.
Just the signals that move the needle in your market.
SEO, analytics, and competitive intelligence teams who need someone fluent in both marketing and engineering, able to take a data project from concept to deliverable without hand-holding.
Your client needs data and research you can't build in-house. I build it, you deliver it: clean handoff, no drama, and you set your own margin.
1,100 buyer personas across 100 industries, run against current models with over 350,000 prompts. Top recommended domains, search phrases, and on-page phrases captured per persona.
Nearly 15 billion pages analyzed across Common Crawl releases. Measures general web presence and crawlability of every recommended domain.
The entire history of Reddit submissions and comments, scanned for domain mentions.
More than 150,000 search queries, 100 results captured per query. Appearances and rank position recorded for every domain.
Wikidata entity associations plus citations and outbound links from all of Wikipedia, cross-referenced against 300 million+ entities.
Host-level web graph with hundreds of billions of links analyzed. PageRank and Harmonic Centrality computed for every domain.
Homepage HTML downloaded for every recommended domain, parsed for persona-specific and industry phrases as a content relevance signal.
Each signal correlated against LLM recommendation score, per industry and pooled. Tiered Dominant → Baseline by strength.
| Signal | Group | ρ (Spearman) | R² | n | Tier |
|---|---|---|---|---|---|
| Search Engine Appearances | Search | +0.241 | 5.8% | 10,914 | Strong |
| Best Search Engine Rank | Search | +0.238 | 5.7% | 10,914 | Strong |
| SE Outbound Links | Search | +0.230 | 5.3% | 13,828 | Strong |
| Backlink Count | Backlinks | +0.204 | 4.2% | 20,402 | Strong |
| BL Authority | Backlinks | +0.200 | 4.0% | 19,988 | Strong |
| PageRank | Backlinks | +0.194 | 3.7% | 20,402 | Confirmed |
| Common Crawl Coverage | Web | +0.123 | 1.5% | 14,057 | Confirmed |
| Wikidata Entities | Reference | +0.120 | 1.4% | 1,619 | Confirmed |
| Reddit Comments | Social | +0.111 | 1.2% | 6,171 | Confirmed |
| Homepage Keywords | Content | +0.072 | 0.5% | 18,678 | Emerging |
Parse and analyze pages across Common Crawl releases at scale: structured data from HTML, URLs, tags, and page elements across billions of records.
Hundreds of thousands of search queries, every ranked URL analyzed. Contact info, partnership opportunities, and competitive gaps, extracted and structured.
Track competitors across web properties, search results, and market signals. Build a database your team can search and act on immediately.
Monitor search results, news, RSS feeds, and web mentions for brand terms, product names, executives, and competitors, near real-time.
Searchable databases of sponsorship opportunities, link prospects, and outreach targets, nationwide or by specific location.
Phone numbers, emails, social accounts, and named entities: extracted, validated, and delivered in your preferred format.
On the marketing side, I've directed teams of 70–80 people responsible for over 1,400 SEO client accounts, led international SEO campaigns across 30–40 countries, and served as the weekly point of contact for Fortune 500 accounts.
On the engineering side, I've built large-scale web scraping and indexing systems processing billions of records, written a marketing SaaS platform from scratch in pure C, and compiled the complete Common Crawl web graph history into queryable SQLite databases.
When you describe a data problem to me, I don't just understand the technical requirements; I understand the marketing objective behind it. That combination is what 26 years across both disciplines gives you.
We talk through what you're trying to accomplish, not a feature list. I define exactly what you'll receive.
No hourly billing surprises, no scope creep. You know what you're getting and what it costs before anything starts.
Delivered in your preferred format (CSV, JSON, Excel, SQLite): clean, documented, ready to plug into your workflows.
Once you see the data, you'll want it differently. That's expected; iteration is priced in from the start.
Whatever works for your team: CSV, JSON, Excel, or SQLite, with field-level documentation and schema definitions. Web graph databases are delivered as SQLite.
Almost always fixed price. I scope the project, define clear deliverables, and quote a number before work begins. In-scope revisions are included.
It depends entirely on the project. Some are a few weeks, some are longer; you'll get a realistic timeline during the scoping conversation.
That's expected. Once people see their data, they almost always want adjustments. Iterations are baked into every project from the start.
Let me know what you're working on and we'll set up a time to talk: an industry report, a custom dataset, or both.