Search is being rebuilt by machines. I build what makes brands legible to them.
Seven years across SEO, web design and marketing analytics, now spent building the audit infrastructure that scores how retrievable a site actually is to LLMs and agents, not just how it ranks.
Most tools measure what AI says about a brand. I measure whether AI can reach it in the first place.
More about meSeven-plus years across SEO, web design and marketing automation, spent mostly on the technical and entity side of search rather than campaign management.
Sole developer and researcher behind a small suite of retrieval-audit tools, built to make the mechanics of AI visibility measurable rather than anecdotal.
Full ownership, end to end: strategy, the build itself, and the writing that explains why any of it matters.
Tools built to answer one question: can a machine actually retrieve this?
View all workAI Spider
A crawling and content-intelligence engine that maps exactly what AI systems can extract from a domain, page by page.
Crawl EngineMarAI
Marketing automation tooling for teams operationalizing AI-driven campaigns without losing sight of the underlying data.
AutomationPSI Building
Predictive Search Intelligence: a dashboard forecasting SEO performance ahead of time using machine-learning models, not lagging reports.
SaaS Dashboarde-Structure Building
A crawler built for ecommerce sites specifically, surfacing technical and content issues, product stock and pricing clarity, and Google Merchant feed mapping in one pass.
Ecommerce AuditsEvery audit follows the same order. Skipping a step is where visibility gets lost.
See the full approachCrawl
Index every retrievable surface: pages, feeds, structured data, and what's actually rendered.
Structure
Map entities, schema and content architecture the way a retrieval system would parse them.
Score
Hybrid lexical and semantic scoring, weighted against observed LLM retrieval behavior.
Optimize
Ship the fixes in priority order, then measure the lift in citation and visibility.
Whitepapers on AI retrievability, published as the tooling was built.
View all papersField notes on SEO, GEO and the mechanics of AI visibility.
View all postsWhat llms.txt actually changes for AI crawlers
Google, OpenAI and Anthropic have all declined to confirm using it. Independent studies find no citation lift, outside one narrow, real use case.
AI Visibility → Jun 2026Entity clarity beats keyword density in retrieval scoring
TF-IDF and BM25 score strings, not things. Modern retrieval increasingly resolves ambiguous terms to specific entities.
GEO → Jun 2026Structured data is the new backlink?
Google and Bing confirm schema feeds their AI systems as context. OpenAI, Anthropic and Perplexity haven't said the same.
Structured Data → May 2026Crawl budget vs retrieval readiness
A page with perfect chunk boundaries is still invisible if no crawler ever reaches it. They're sequential gates, not competing ones.
SEO →