Practical thinking on SEO, AEO, GEO, analytics, automation, experimentation, and growth systems.
Build a B2B AI search visibility system with useful comparison pages, evidence, crawler checks, and repeatable measurement across relevant buyer questions.
Create B2B comparison pages that explain fit, costs, limitations, and evidence so buyers can evaluate alternatives and make a better-informed decision.
Measure the complete cost and value of an AI marketing pilot, with a worked hypothetical example and a scorecard for deciding whether to expand…
A reporting workflow that calculates metrics before using AI to explain changes, with checks for missing accounts, conversion lag, and unsupported conclusions.
A practical evaluation checklist that tests model output and the workflow's actions, with representative enquiries, deterministic checks, and production feedback.
A practical approval design for marketing AI workflows, covering exact action details, reviewer authority, changed inputs, denial, and timeout handling.
A proposed n8n workflow for extracting service requests from free text, checking the output, and passing reliable fields into your existing CRM process.
Define what an AI workflow may read, propose, and write to your CRM, including unknown values, source authority, duplicate events, and stale records.
Choose between fixed automation, bounded AI tasks, and agents using the decisions your workflow needs to make and the controls your team can support.
A practical framework for using AI in marketing operations, with clear boundaries around data, CRM actions, human approvals, and measurable outcomes.