
AI PPC Management: What Actually Works in 2026 (And What’s Still Marketing)
An operator's view of AI PPC management in 2026: the three jobs AI does well, three it gets wrong, a weekly workflow, and the tools worth your budget.
Let’s talk Practical guides to the tools, workflows, and systems behind AI-powered marketing.

An operator's view of AI PPC management in 2026: the three jobs AI does well, three it gets wrong, a weekly workflow, and the tools worth your budget.

An operator's guide to Claude for marketing in 2026: six jobs it handles well, three it doesn't, the prompt structure that works, and the trap to avoid.

Seven AI marketing workflows we run every week, with inputs, outputs, tool stacks, and hours saved. Plus three workflows we tried and dropped.

How AI lead scoring works, the 5 ways it fails, and the 6-step setup that keeps it auditable instead of a black box reps stop trusting.

AI landing page optimization done right: a 6-step diagnostic workflow for message match, trust sequence, and clarity. The prompts and the test design.

An AI content strategy operating model: the strategic decisions, the four-quadrant allocation framework, the measurement loops, and the role of taste.

The AI customer journey workflow we run for clients: 6 steps from evidence collection through cross-stage synthesis to the decisions the map drives.

The AI for sales prospecting workflow that actually books meetings. 7 steps, the real tool stack, and the failure modes that destroy most rollouts.

The 10-section AI content brief template we use to produce sharper first drafts. Thesis, audience, angle, voice rules, and what to leave out.

The 7-step ChatGPT for SEO workflow we run on ravitz.co. Where ChatGPT adds leverage, where it hurts, and the LLM citation layer most posts miss.