Marketing Insights
Writings on building AI-powered marketing operations for lean teams.
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AI Lead Scoring: How It Works, Where It Fails, How to Set It Up (2026)
AI lead scoring replaces arbitrary point values with a model trained on your closed-won history. Here is how it actually works under the hood, the 5 specific failure modes, the 6-step setup that keeps it auditable, and when it’s not worth doing at all.
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AI Landing Page Optimization: The Diagnostic Workflow (2026)
Most AI landing page optimization is a cosmetic redesign button that doesn’t move conversion. Here is the diagnostic workflow we run for clients: message match, trust sequence, and clarity diagnostics, a ranked test list, and honest test design. The prompts and the failure modes.
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AI Content Strategy: The Operating Model for 2026
Most AI content strategy is just ‘publish more.’ Here is the real operating model: the four strategic decisions that stay human, the execution layer where AI changes the cost structure, the four-quadrant allocation framework, the measurement loops, and the role of taste in 2026.
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AI Customer Journey: How to Actually Map One in 2026
Most AI customer journey content is deck-slide theater. Here is the working workflow we run with clients on ravitz.co: evidence collection per stage, per-stage synthesis, cross-stage patterns, and the specific decisions the map should drive. Six steps, the tool stack, the failure modes.
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AI for Sales Prospecting: The Workflow That Actually Books Meetings (2026)
Most AI for sales prospecting setups produce worse pipeline than the manual workflow they replaced. Here is the 7-step workflow that actually books meetings: real ICP definition, substantive research, message validation, the tool stack, the deliverability rules, and what to keep human.
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AI Content Brief: The Template We Use to Get Better First Drafts (2026)
Most AI content briefs are too short to do real work. Here is the 10-section template we use on ravitz.co to produce sharper first drafts: thesis, reader, angle, target keyword, structure, proof points, voice rules, what to leave out, success metric, and failure modes to avoid.
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ChatGPT for SEO: The Operator’s Workflow (2026)
The working ChatGPT for SEO workflow we run on ravitz.co: 7 steps, the prompts that actually produce useful output, the steps where ChatGPT helps and where it actively hurts, and the LLM citation layer the rest of the discourse is missing in 2026.
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AI Competitor Analysis: The Workflow We Run for Clients (2026)
The AI competitor analysis workflow we run on ravitz.co and for clients: pick the set, extract per-competitor positioning, cross-compare for unclaimed territory, do the content gap analysis, write the recommendation memo. The prompts, the tools, and the brand teardowns we built using this pattern.
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AI Persona Generator: How to Build Customer Personas From Real Data (2026)
Most AI persona generators output fiction. Here is the operator workflow we use to build evidence-grounded personas from real customer data: sales calls, support tickets, reviews, surveys. The data inputs, the synthesis prompts, the audit checks, and the mistakes most teams keep making.
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AI Content Repurposing: The Workflow We Run for One-to-Many Distribution (2026)
The AI content repurposing workflow we run on ravitz.co: turn one well-written core piece into 8-12 atomic units across formats and channels. The matrix, the AI steps, tool comparison, and the brand-voice checkpoints that keep repurposed content from sliding into AI slop.