The Path Here
I spent years in ecommerce — specifically Amazon. Scaled a brand to $400k in the first year, became president of an Amazon SaaS company, and learned how search algorithms shape business outcomes. When AI platforms started generating answers with citations, I recognized the pattern: a new search surface was emerging, and the rules were completely different.
Instead of guessing, I ran experiments. I built scrapers, analyzed thousands of queries across multiple AI platforms, and published the findings. That research became the foundation for everything AI+Automation does today.
Published Research
I've published four research papers on AI search behavior, analyzing how AI platforms select and cite sources. This isn't marketing content — it's methodology-driven research with statistical rigor, covering 20,000+ queries across 10 industry verticals and 18,000+ crawled pages.
I Rank on Page 1 -- What Gets Me Cited by AI?
10,293 pages, 250 queries, position-band matched. Content features match domain identity within the SERP. Top predictors: comparison structure, query-term coverage, subheading depth. DOI: 10.5281/zenodo.19398158
Query Intent, Not Google Rank: What Best Predicts AI Citation Behavior
19,556 queries, 8 verticals. The finding that Google rank does not predict AI citation. Corrected dataset: 3,251 real websites (UGC excluded) across ChatGPT and Google AI Mode, 3 models identifying 8 confirmed predictors.
Cognitive Redistribution
How AI platforms redistribute attention away from traditional search results.
Reddit Training Data Influence
The role of Reddit content in AI platform training and citation behavior.
ORCID: 0009-0002-4815-6373 · View all research →
Tools I've Built
Research findings are only useful if they can be operationalized. I've built a suite of proprietary tools that turn AI SEO research into actionable agency services:
- BotSight — Real-time AI bot monitoring that tracks 15+ AI crawlers across client sites
- AI Query Predictor — Creates realistic consumer queries from GSC data, auto-deriving industry context from keywords for any vertical
- Multi-Platform Scraper — Runs queries across ChatGPT, Claude, Perplexity, and Google AI Mode with deep competitive analysis
- GEO Knowledge Base — Empirically grounded optimization intelligence for AI citation
- Orunla — Open-source persistent memory for AI agents (Rust)
- CGC — Open-source data connector for AI context windows (Python)
What I Believe
AI should amplify people, not replace them. I don't believe in using AI to eliminate jobs. I believe in using it to give teams capabilities they couldn't access before — like understanding how AI search works and optimizing for it.
I also believe that real expertise comes from doing the work, not from repackaging others' findings. Every recommendation I make to agencies is grounded in research I've conducted, tools I've built, and experiments I've run. I don't outsource the thinking.
Want to Work Together?
If you're an agency that wants an AI SEO partner who's actually done the research , not someone repackaging blog posts , I'd love to hear from you. Email me directly or check out a free AI visibility check for your client.
See how we compare: Best AI SEO agencies