Instead of only focusing on creating new content with Experience, Expertise, Authority, and Trust (E-E-A-T) signals, marketers should update older content. Adding elements like case studies, testimonials, and author bios to posts from years ago can significantly increase their current value and authority.
Instead of guessing what short-form content will resonate, identify existing long-form videos or articles with the highest engagement. Transcribe these proven winners and use AI to extract impactful clips, carousels, and tweets. This method leverages past success to increase the probability of future performance.
To signal recency to Large Language Models (LLMs), marketers must include specific time periods (e.g., year, quarter, month, or 'Updated [Date]') directly in content titles. This simple change makes content over 50% more likely to appear in AI-generated results on platforms like ChatGPT, which are rapidly replacing traditional search.
Escape the content creation hamster wheel by focusing on optimization, not just volume. Instead of writing new posts on similar topics, identify existing high-performing articles and update them with new information, better formatting, and fresh insights. This simplifies your process and boosts search rankings.
Constantly creating daily content to stay relevant is a business-killing treadmill. Instead, focus on building foundational, long-shelf-life assets like blog posts or podcast episodes. This evergreen content solves real problems and can be discovered for years, providing lasting value and leads without daily effort.
The dominance of AI tools like ChatGPT, which favor new and recently updated information, is rendering traditional 'set it and forget it' evergreen content obsolete. AI citations are, on average, nearly a year newer than traditional search results, signaling a fundamental shift in content strategy that marketers must adapt to.
Users now ask AI models highly specific, long-form questions, not short search terms. HubSpot's CEO advises creating more detailed content with better citations and case studies to provide authoritative answers for these complex queries and remain visible.
AI cannot replicate your lived experience, personal experiments, or unique perspective. To make your content "AI-proof," lead with your own stories, data, and case studies. Sharing screenshots, income reports, and personal struggles creates content that AI can't remix, making your voice irreplaceable.
Instead of constantly creating new material, an efficient growth strategy is to 'upcycle' posts. Repost successful content after 90 days, aiming to publish every piece at least three times to maximize reach and reduce workload, as most followers missed it initially.
Instead of only planning future content, create a database (in Notion or a Google Sheet) of all published assets. Tag each piece by topic, pain point, and performance metrics (likes, shares, open rates) to systematically identify what resonates and should be repurposed.
AI's preference for recency extends beyond the content to the webpage itself. Pages that haven't been updated in over a year are more than twice as unlikely to be cited by AI models. This means marketers must continuously update the pages, not just the content on them, to maintain visibility in AI search.