Your AI CMO
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Your AI CMO
In-depth guides to generative search, content, research, and marketing operations. Explore the methods, then try a hands-on lab inside every article.
Focused on repeatable processes and transparent evidence, with illustrative diagrams clearly labeled.
16 guides available
A repeatable way to check when your brand appears in AI answers, what those answers cite, and which page improvements deserve attention.
Build a query set, record citations, and diagnose gaps
Read guideA method for distinguishing a live buying question from general chatter and responding with useful context.
Qualify the situation before treating a post as a lead
Read guideGive specialist workflows a common evidence base, clear handoffs, and a review trail without spreading a stale brief everywhere.
Make evidence and ownership explicit at every handoff
Read guideA worked example of turning fragmented channel plans into one evidence-backed campaign brief.
Use one campaign thesis with channel-specific execution
Read guideCheck how crawl rules, server responses, and page markup affect access without assuming that one bot controls every AI answer.
Audit crawler policy, accessibility, and page content separately
Read guideDesign a documentation-led publishing workflow that can grow while preserving correct code, clear authorship, and developer trust.
Scale the review system before scaling the article count
Read guideTurn scattered channel data into a concise decision narrative with sources, caveats, and clear ownership.
Lead with decisions and evidence, then show supporting metrics
Read guideA measurement framework for conventional search, AI answers, and the buyer actions that follow both.
Compare visibility with a stable query set and clear definitions
Read guideMake a product's identity, audience, capabilities, and proof easy to understand in visible copy and appropriate structured data.
Use markup to describe truthful page content, not to invent it
Read guideStructure a case study so readers can trace the problem, intervention, outcome, and limits of the evidence.
Make every outcome traceable to a source and timeframe
Read guideBuild a transparent way to prioritize signals while showing evidence, uncertainty, and the action each score should trigger.
Start with interpretable criteria, then calibrate with outcomes
Read guideTranslate a brand guide into examples, review criteria, and correction loops that work across social, email, and long-form content.
Teach the voice through examples and review real outputs
Read guideCompare competitor claims with customer needs, then validate a gap before building a campaign around it.
A missing competitor claim is only an opportunity if buyers care
Read guideRun repeatable lab audits, compare them with real-user Core Web Vitals, and prioritize fixes that improve the visitor experience.
Use Lighthouse for diagnosis and field data for lived performance
Read guideAllocate model usage to valuable work, reduce repeated context, and measure quality alongside cost.
Optimize useful output per unit of cost, not tokens alone
Read guideTranslate interviews and observed behavior into buyer jobs, progress triggers, anxieties, and useful messaging hypotheses.
Research the progress buyers seek, then test the message
Read guide