A broad Facebook trend list rarely tells you what to publish. A narrow sample can show repeated questions, useful formats, and reaction patterns that deserve a closer look before you write an original post.
SocialListeningAPI lets Claude or ChatGPT search public Facebook posts through the MCP. It returns normalized post text, available reactions, comments count, shares, and source URLs. The model groups ideas, while final content stays under human control.
Step 1: Choose a narrow content question
Turn the category into several specific searches:
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Define the intended reader and decision. Do not search one broad industry word and call the result a content strategy.
Step 2: Collect Facebook content examples
Create a SocialListeningAPI account, claim the 100 free credits, and connect the MCP to Claude or ChatGPT through OAuth.
Ask Claude or ChatGPT to keep the evidence visible:
Search public Facebook posts for each topic phrase. Return the query, published date, post format,
main question or claim, available reactions, comments count, shares, and source URL. Group repeated
questions and formats. Do not copy post wording and do not claim the sample contains the top posts
on Facebook.
Each successful Facebook search costs 7 credits. The current endpoint returns one newest-first page with no next cursor.
Step 3: Compare the returned sample
Store the records in an external sheet. Rank only that returned sample by available reactions, comments count, or shares. Keep the raw counts and source URL beside each observation.
Facebook search does not provide every post, comment text, private content, or a complete historical ranking. High reactions may come from the creator’s existing audience rather than the topic alone.
Step 4: Write an original content brief
For each idea, record the reader question, source examples, useful format, what existing posts miss, and the original evidence your content can add. Watch for outdated claims and copied formats.
Use public posts as research. Do not reuse a creator’s text, image, or story without permission and attribution.
Conclusion
The expected output is a small content idea bank with source examples and honest sample limits. Choose the idea where you can add a test, demonstration, checklist, or expert answer instead of rewriting the most reacted-to post.
Continue with Find Content Ideas From Repeated Public Questions.




