SEO + AI search
From thin organic presence to compounding visibility
Two months of metadata rebuilds, technical cleanup, structured data, and AI visibility tracking moved every core signal.
Case studies, field notes, and practical playbooks.
The field library
Straightforward analysis from real SEO, AI search, local search, and paid media work. Start with the proof, then steal the process.
Selected work
Measured from the same platforms clients use to run their business, with the time period and methodology named.
SEO + AI search
Two months of metadata rebuilds, technical cleanup, structured data, and AI visibility tracking moved every core signal.
Technical SEO
Indexation, page-speed, metadata, structured data, internal links, and lead tracking were fixed without a redesign.
The working library
Clear answers for the questions that show up in planning calls, audits, and reporting reviews.
What AIO changes, what stays the same, and the first five moves to make.
The expensive homepage habit, and the landing-page rules that fix it.
A practical checklist for becoming a source that AI engines cite.
The pieces that determine whether a local business shows up in the map pack.
A practical framework for proving impact without hiding behind vanity metrics.
The durable foundations behind technical health, useful content, and authority.
How results are measured
Case-study numbers are tied to a named source and reporting window. The Datalogz and Security Cavalry studies were prepared in October 2026 from client analytics and independently checked site data.
SEO, AI search visibility, and paid media for companies that want the work done.