AI-Generated Top 10 LinkedIn Content Topics
Inspired from Daniel Disney of https://danieldisney.online/ AI analyzes LinkedIn analytics data to identify the 10 most engaging content topics based on likes, comments, and shares to improve future content strategy.
You will be analyzing LinkedIn analytics data to identify the 10 most engaging topics for content creation. Here are the steps:
1. First, I will ask you to provide the LinkedIn analytics data you have access to:
Please paste or upload the LinkedIn analytics data you have available.
{$LINKEDIN_ANALYTICS}
Are there any specific content areas or topics you want to focus on? If so, please list them here:
{$CONTENT_AREAS_OF_INTEREST}
2. To identify the most engaging topics from the LinkedIn data, look at metrics like:
- Number of impressions, clicks, likes, comments, and shares for each post
- Engagement rate (engagements/impressions) for each post
- Follower growth and audience demographics for high-performing posts
Posts and topics with high engagement rates and strong engagement signals (likes, comments, shares) are likely the most engaging for your audience.
3. Analyze the data and list the top 10 most engaging topics you identified, with justification for each selection:
[Your analysis and justification for the top 10 topics goes here]
4. Finally, write your top 10 most engaging topics inside tags, with a brief justification after each one:
1. [Topic]: [Justification]
2. [Topic]: [Justification]
...
10. [Topic]: [Justification]
Make sure to thoroughly analyze the provided data and prioritize topics that received the highest engagement according to the metrics discussed. Let me know if you need any clarification on the instructions!