Duplicate content is one of the biggest risks when scaling AI-written content. This chart quantifies how much overlap actually exists in AI-generated articles. The findings reveal important differences between models. Understanding these patterns helps marketers avoid SEO and brand dilution risks.

Essential Statistics

• ChatGPT content was 92.1 percent unique.
• Bard content was 94.7 percent unique.
• ChatGPT produced 7.9 percent duplicate content.
• Bard produced 5.2 percent duplicate content.
• Both tools generated predominantly unique content.

Key Takeaways

• Most AI-generated content is unique, not duplicated.
• Duplicate risk varies by AI model.
• Even small duplication percentages can scale into large risks.
• Uniqueness alone does not guarantee SEO safety.
• Editorial oversight remains necessary at scale.

Actionable Insights

• Choose AI tools with lower duplication rates. Bard’s lower duplicate percentage suggests reduced risk when publishing at scale, especially for SEO-driven content.
• Implement duplication checks before publishing. Even low duplication percentages compound quickly when producing hundreds of pages, making automated checks essential.
• Use AI for drafts, not final output. Treat AI content as a starting point and require human revision to eliminate structural repetition.
• Vary prompts aggressively. Prompt diversity reduces pattern repetition and lowers duplication risk across large content libraries.

Monitor duplication trends over time. Track uniqueness monthly to catch model drift before it impacts rankings or brand trust. – Neil Patel