Originality and Uniqueness: Search engines prioritize original content. If AI-generated text closely resembles existing content or lacks unique insights, it may struggle to rank.

Depth of Content: AI-generated content might not always provide in-depth analysis or comprehensive coverage of a topic, which can affect its perceived value compared to more thorough human-written articles.

User Engagement: Google considers user engagement metrics like time spent on a page and bounce rates. If the content doesn’t resonate with readers, it may not perform well.

Keyword Optimization: While AI can generate text around certain keywords, it may not always optimize them effectively within the context, leading to missed opportunities for ranking.

Contextual Relevance: AI may not fully understand the nuances and context of certain topics, leading to content that might not align well with user intent.

Technical SEO Factors: Content alone is not enough. Factors like site speed, mobile-friendliness, and proper indexing also play a crucial role in ranking.

Backlinks and Authority: AI-generated content often lacks authoritative backlinks. Quality backlinks from reputable sites significantly impact SEO performance.

Regular Updates: Search engines favor fresh content. AI-generated content that isn’t regularly updated may fall behind more current articles.

Branding and Personalization: Unique brand voice and storytelling elements often resonate better with audiences. AI lacks a personal touch that can enhance connection with readers.

Evolving Algorithms: Search engine algorithms are constantly changing. What worked for ranking in the past may not be effective now, especially if the content lacks adaptability to these changes.

To improve SEO performance, consider enhancing AI-generated content with original insights, thorough research, and effective keyword strategies while focusing on user engagement and technical SEO factors.