The Playbook
The AI-Era Marketer
A full-stack operating manual for B2B marketing in 2026 — written in public.
The AI-Era Marketer is a free 14-chapter playbook covering marketing operations, demand generation, lifecycle marketing, measurement, and answer-engine optimization for B2B SaaS. Every chapter is grounded in the published canon, tested inside real engagements, and refreshed quarterly — about 19% of marketing teams already run end-to-end AI-agent initiatives (HubSpot, State of Marketing 2026), and this manual is written for what comes next.
How this playbook is written
Read the canon → test it in live client work (anonymized) → publish what survives, including what we got wrong. New chapter roughly every two weeks. Money pages refreshed every quarter — half of what AI engines cite is under 13 weeks old, so staying current is the moat.
Flagship
- ★ The AI-Native RevOps Blueprint Published
Part I — The map has changed
- 1 The 2026 stack map: composable, warehouse-native, agentic In progress
- 2 The marketer as orchestrator Planned
Part II — Marketing ops
- 3 Hygiene before autonomy: the data estate Planned
- 4 The bounded-autonomy ladder Planned
- 5 MarOps maturity: the 5×5 self-audit Planned
Part III — Demand gen
- 6 Create vs capture in the AI era Planned
- 7 Signal-based everything Planned
- 8 AEO/GEO as a demand channel Planned
Part IV — Lifecycle
- 9 From funnel to bowtie Planned
- 10 The five-stage lifecycle operating model Planned
Part V — Measurement
- 11 Triangulation: MMM + incrementality + attribution Planned
- 12 Auditing attribution before you trust AI with budget Planned
Part VI — The operating system
- 13 Org design for agentic marketing Planned
- 14 The learning loop Planned
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