Analytics from written content are a goldmine for video ideas. Identify which articles or blog posts have the highest readership. These topics have a pre-validated audience and should be repurposed into video scripts, as many people prefer watching to reading.
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.
As AI-driven search provides answers directly, traditional website traffic is declining for many. However, YouTube usage is increasing. A robust video strategy on YouTube is no longer optional, as it is becoming the primary platform for discovery and trust-building in the AI era.
Instead of blindly cross-posting, build an automated workflow that identifies your top-performing content from a primary channel (e.g., best TikToks in 24 hours). This 'repurposing engine' then intelligently reformats and distributes only these proven winners to maximize reach and impact.
Instead of only planning future content, systematically tag every published piece with its topic, performance metrics, and the pain point it addresses. This creates a data-rich, reusable library that allows you to identify and remix your most successful content ideas.
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.
To generate superior content ideas from a visual AI like Poppy, provide three types of inputs: links to viral videos for inspiration, links to your own content to define your style, and a link to an expert's analysis to provide strategic guidance.
Instead of dozens of disconnected blog posts, consolidate them into comprehensive 'hub pages' or ultimate guides for your core services. This structure is user-friendly and highly rewarded by AI search, as it presents you as an organized, authoritative source on a topic.
Leverage AI to analyze your year's worth of data to quickly identify top-performing content. AI can then go a step further by summarizing these top pieces or extracting key takeaways, creating new derivative content from your existing assets with minimal manual effort.
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.
When organizing your content library, add a specific category for the customer 'pain point' each asset addresses. This allows you to analyze performance based on the problems you're solving for your audience, revealing deeper insights than merely tracking topic popularity.