AI for Marketing: 15 Workflows That Save 20+ Hours Weekly
Content, SEO, and campaign analysis workflows with specific prompts
AI for Marketing: 15 Workflows That Save 20+ Hours Weekly
Content, SEO, and campaign analysis workflows with specific prompts
Marketing teams using AI save 20+ hours per week. Covers blog post pipelines, social media automation, keyword clustering, review analysis, and campaign reporting with specific prompts and tool recommendations.
AI Marketing Workflows: Save 20+ Hours Per Week
Blog Post Pipeline (saves 4-5 hours per post)
Research (Perplexity AI): Prompt: Give me 10 unique angles on [topic] not in top-ranking articles. Include recent data and counterintuitive perspectives.
Outline (Claude): Prompt: Create detailed outline for [title]. Include specific data points and examples in each section.
Edit (Claude): Prompt: Review for flow issues, unclear sentences, where examples would strengthen arguments. Flag issues only.
Social Media at Scale (saves 3 hours/week)
Prompt: Here are my 3 posts this week: [summaries]. Create: 5 Twitter tweets per post, 3 LinkedIn posts, 2 Instagram captions.
SEO Workflows
Keyword Clusters (saves 3-4 hours): Prompt: Group these 50 keywords into topic clusters. For each: primary keyword, supporting terms, content type, competitor URL we could outrank.
Content Gap Analysis: Prompt: Here are 3 competitor articles: [text]. Identify topics covered superficially, unanswered questions, missing recent developments.
Customer Research (saves 6-8 hours)
Review Analysis: Prompt: From 200 reviews extract: top 5 buy reasons with frequency, top 5 pain points, exact customer language, feature requests 3+ times, competitor alternatives.
Tool Stack
Research: Perplexity AI for current data Writing: Claude 3.5 Sonnet Images: Midjourney v7 or DALL-E 3 Automation: n8n to connect all tools
Typical results: 3-5x content output, 40-60% cost reduction per piece.
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