connected work
AI search optimization is an operating system, not one tactic.
The useful unit is a connected initiative: a question, the evidence, a reviewable proposal, an approved change, and — when you connect a publisher — a verified result and a dated observation. Anything that breaks that chain is a report.
Discovery foundation
Audit whether important pages are crawlable, indexable, canonical, rendered, and internally linked, then route approved corrections through Shopify, WordPress, Webflow, a GitHub pull request, manual application, or a customer-owned agent through MCP.
Intent and source research
Map search demand, buyer questions, current results, cited sources, and the gaps the business can credibly fill.
Compounding source pages
Turn real expertise into definitions, guides, comparisons, specifications, and examples drafted onto pages that already exist.
Reviewable proposals
Preserve the exact change, rationale, source, affected resource, risk class, and approval version.
Connected execution
On Shopify, WordPress, Webflow, or a GitHub pull request, write the approved change after a remote re-read, instead of separating strategy from implementation.
Dual-surface measurement
Read AI citation samples beside the dated initiative history — which page changed, when it was approved, and what the same questions returned afterward.