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Publive includes built-in AI capabilities to help content teams work more efficiently.

Auto Tag Suggestions

When creating or editing a post, Publive’s AI analyzes the content and suggests relevant tags. This helps with:
  • Consistent content categorization
  • Improved content discovery
  • Reduced manual tagging effort
Tags are suggested based on content analysis and can be accepted or dismissed by editors.

SEO Scoring

Posts automatically receive an seo_score based on:
FactorDescription
seo_keyphrase usageFocus keyword density and placement
short_descriptionMeta description quality and length
meta_titleTitle tag optimization
Content lengthword_count relative to post type
Heading structureProper H1-H6 hierarchy in content
Access the SEO score via the CMS API:
{
  "id": 50123,
  "seo_score": 85,
  "seo_keyphrase": "union budget 2026"
}

Plagiarism Detection

Publive checks content for plagiarism before publication, helping maintain editorial integrity and avoid copyright issues.

Indian Language Support

AI features support Indian languages for:
  • Tag suggestions in Hindi, Tamil, Bengali, and other Indian languages
  • Content analysis for non-English articles
  • Multi-language SEO optimization
The language_code field in posts indicates the content language:
{
  "language_code": "hi",
  "title": "..."
}

Content Recommendations

AI-powered content recommendations help:
  • Suggest related articles for readers
  • Identify content gaps in your coverage
  • Recommend trending topics for editorial planning