Automate social media reports
We’re capturing posts and tagging them with AI—now let’s turn that into something useful: reports your team can actually use.
Looking at thousands of posts in your database and understanding trends manually is tough. But AI is built for this kind of thing. With a centralized database of social media posts, generating automated reports with real insights is surprisingly simple.
Here’s how to do it:
Read posts from the period
To write a report, we need the posts we want to summarize. You have two options:
Use your database: The one we set up earlier in the course (Airtable, Supabase, etc.) with filters like “last 7 days.”
Use the original scraper nodes: From the first lesson, with date ranges adjusted to match your reporting period.
Smush posts together
In order to write one report, we need to combine all our social posts into a single blob of text.
Gumloop has a node just for that: Join list items.
It takes a list (our social media posts) and merges them into a single string. That string (a string is simply text) can be added to the AI prompt.
AI to write the report
Now we can ask AI to analyze everything we pulled in—all in one go. Write a prompt detailing what you'd like in the report and pass in the smushed social media posts from the Join list items step.
From there you can send the report wherever it needs to go—email, Slack, anywhere!
Social media monitoring, now automated with AI
Now you’ve got a fully automated setup that:
- Grabs your social media posts
- Analyzes and tags them
- Notifies your team when something needs attention
- Writes insightful weekly or daily reports
From social listening to team alerts to reporting—this is your full social monitoring pipeline, powered by AI.
