ANAND IYER / PUBLIC OPERATOR LAB
Visual field guides, editable worksheets, and tested workflows for paid media, SEO, and AI automation. Built around real operating decisions—not passive PDF collecting.
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OPTIONAL / MEMBER WORKSPACE
The free workspace saves implementation runs and connects evidence or questions to a specific pack.
LATEST VIDEO COMPANIONS
Each package maps to a recent YouTube video and includes a measured keyword-demand snapshot, primary-source notes, and an implementation path.
Turn six platform changes into a controlled account migration: what to audit, what to test, and what not to change at the same time.
A decision system for adopting AI Max without giving up query, landing-page, creative, and measurement control all at once.
Rewrite one important page so humans and answer engines can identify the claim, evidence, entity, and update date without guesswork.
A scoped build specification for turning crawl exports and Search Console data into a reproducible technical SEO audit with human review gates.
A weekly operating system for separating charged leads, qualified leads, booked jobs, and feedback signals in Google Local Services Ads.
A repeatable benchmark for testing whether a B2B brand appears for buyer questions across answer engines—and whether the mention is accurate.
Rank ten SEO agent ideas by frequency, evidence availability, reversibility, review cost, and expected hours returned.
A three-layer audit that moves from account signals to query evidence to business-quality verification—without letting AI make account changes.
A safe repository blueprint for using Claude Code on technical SEO tasks with explicit scope, evidence, testing, and review requirements.
A practical plan for auditing consent signals, conversion definitions, first-party inputs, and automation dependencies before increasing AI-led spend.
Every pack ends in a decision, artifact, verification step, or operating cadence.
Measured data, official sources, synthetic examples, and operator judgment are never presented as the same thing.
High-risk recommendations include scope, guardrails, a review owner, and rollback conditions.