Information Gain Content: How to Increase Traffic 16,500% by Going Above & Beyond

Key Takeaways:

• Information gain involves creating content that goes beyond existing content and adds depth and value.
• User engagement signals, such as click-through rates and time spent on page, are important factors in ranking content.
• AI and large language models are becoming more prevalent in content creation, but they lack the ability to provide unique insights and perspectives.
• Recent algorithm updates have impacted different types of websites, with a focus on reducing unoriginal and low-quality content.
• Redundancy in search results, where multiple websites provide the same information, can lead to lower rankings. Google's algorithm is evolving to prioritize AI overviews and user engagement signal in search results
• Content creators need to optimize for both the AI overview and user engagement signal
• The AI overview focuses on entity-rich consensus content, while user engagement signal prioritizes engaging content that meets searcher needs
• Content must contribute information gain and cover the knowledge graph entities that Google expects
• The future of SERPs will likely involve more diverse and engaging content