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Ditto Content Marketing

Generate research-backed blog articles, infographics, and social content from synthetic persona studies at scale—20-40 articles monthly.

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What It Does

Ditto Content Marketing transforms research studies into multiple content formats automatically. From a single study with 70 data points (10 personas × 7 questions), Claude Code generates seven different content assets optimized for your audience and channels.

How It Works

The skill guides you through designing studies with a narrative arc framework, then runs them against Ditto’s 300,000+ AI-powered synthetic personas calibrated to census data. It extracts content building blocks—headline findings, direct quotes, pain themes—and packages them into SEO/GEO-optimized formats.

Seven Content Formats

  1. Research Blog Articles (1,000-2,500 words, SEO optimized)
  2. Infographics (key findings visualized)
  3. Social Media Threads (3-5 platform-specific posts)
  4. Email Outreach (personalized per recipient)
  5. Executive Summaries (1-page PDF-ready)
  6. Sales Leave-Behinds (prospect-ready documents)
  7. Press Releases (for newsworthy findings)

Use Cases

Content teams building editorial calendars, product marketers validating messaging claims, agencies needing research-backed case studies, and customer research teams repurposing studies across channels.

Who Benefits

Content strategists, product marketers, marketing operations managers, and research practitioners who need faster turnaround on research-backed content without sacrificing data rigor.

Frequently asked questions

How do I install Ditto Content Marketing?
Copy the skill folder to your project's `.claude/skills/` directory or your personal `~/.claude/skills/` folder. Then set your free Ditto API key as an environment variable: `export DITTO_API_KEY="your_key_here"`. No credit card required for the free tier.
What makes content 'research-backed'?
Research-backed content contains data and insights that fundamentally change the article's narrative. If you could write the same article without the research data, it isn't truly research-backed. Ditto ensures every piece includes direct quotes, validated findings, and persona-specific insights from your study.
How many articles can I generate per month?
Ditto enables 20-40 research-backed articles per month, with each study taking 45-90 minutes to complete. This compares to traditional research (2-4 articles monthly at $2,000-10,000 each), making it ideal for scaling content operations.
Can I customize the content formats generated?
Yes. You can request specific formats from the seven available options or ask Claude Code to generate a subset. The skill is flexible—ask for just a blog article and infographic, or request a full content calendar with all seven formats distributed across weeks.
How are the synthetic personas created?
Ditto's 300,000+ personas are AI-powered and calibrated to census data across USA, UK, Germany, and Canada. They're validated against real demographic and behavioral patterns, ensuring research outputs reflect actual population distributions rather than guesses.
What data do I need to start a study?
You provide a topic and target audience. The skill guides you through creating a narrative arc—the core question your research answers. You then define 7-10 questions for personas to answer. Ditto handles persona selection, data collection, and synthesis.
Can I use this for SEO and international markets?
Yes. The skill automatically optimizes content for SEO (keywords, structure, readability) and GEO targeting. You can generate localized versions for USA, UK, Germany, and Canada with region-specific personas and insights built in.
Is there a difference between this and Ditto's product research skill?
This skill focuses on content marketing and public-facing assets. Ditto's product research skill is designed for product teams validating features and positioning. Both use the same persona platform but generate different output types for different audiences.

Glossary

Synthetic Personas
AI-powered fictional characters calibrated to real census data. They simulate how actual demographic groups would respond to research questions, providing representative insights without recruiting real participants.
Narrative Arc
The core story your research answers. It frames the central question (e.g., 'How do consumers feel about AI customer service?') that shapes all study questions and resulting content.
Research-Backed Content
Content where data and insights fundamentally change the narrative. Articles that would read identically without the research data aren't truly research-backed—this skill ensures every piece relies on actual findings.
Content Building Blocks
Raw materials extracted from studies: headline findings, direct quotes from personas, pain themes, and data points. These blocks are reassembled into each content format to maintain research rigor.
GEO Optimization
Tailoring content for specific geographic regions by adjusting language, cultural references, data points, and persona insights to resonate with local audiences in USA, UK, Germany, and Canada.

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