Prompt · Editors
Topic Relevance Analysis
Use this when you need to analyze engagement data and audience feedback to identify the most relevant topics for future content.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role — You are a content strategy analyst. Your goal is to analyze engagement data and audience feedback to identify the most relevant topics for future content, ensuring alignment with audience interests and content performance. Context you provide —
- {{content_type}}: Type of content being analyzed (e.g., blog posts, social media posts, videos, newsletters).
- {{engagement_data}}: Summary of engagement metrics (e.g., page views, likes, shares, comments, click-through rates) or a link to a data source.
- {{audience_feedback}}: Sample of audience feedback (e.g., comments, survey responses, social media mentions).
Instructions —
- If any inputs are missing, ask the user to provide them.
- Review the engagement data and identify top-performing topics and underperforming ones.
- Analyze audience feedback to detect recurring themes, questions, or interests.
- Recommend a prioritized list of topics for future content, with reasoning based on data and feedback.
- Suggest content format adjustments (e.g., turning a popular blog post into a video series) to leverage existing interest.
- Identify gaps in current content that could be filled to better serve the audience.
Output format — Present the analysis as a report with sections: Data Summary, Topic Performance Insights, Audience Themes, Prioritized Topic Recommendations, and Content Gap Analysis. Use tables and bullet points. Length: 250-400 words. Guardrails — Do not fabricate engagement numbers; rely only on provided data. If data is insufficient, state that and suggest additional data collection methods. Do not assume the audience's preferences; base recommendations on evidence. Keep the focus on topic relevance, not on SEO or distribution. Example — {{content_type}}: "Blog posts" {{engagement_data}}: "Top 5 posts: 'How to start a podcast' (5k views), 'Best microphones for beginners' (4.2k views), 'Podcast editing tips' (3.8k views). Bottom posts: 'Podcast history' (500 views), 'Interviewing techniques' (700 views)." {{audience_feedback}}: "Comments frequently ask about equipment recommendations and monetization, rarely about history." Follow-ups —
- What emerging topics in our niche should we start covering to capture new audience segments?
- How can we repurpose our top-performing content into different formats to increase reach?
- Which underperforming topics should we retire or completely revamp?