Search recent public posts for brand, product, and problem language, then turn the results into a deduplicated listening brief.
For a founder reviewing the week’s public product questions before deciding where to respond.
A current, source-linked view of the conversations that deserve a human response or deeper research.
Keyword counts mix support issues, jokes, reposts, and genuine requests. A bounded evidence pass keeps context attached to every finding.
Review the last seven days of posts mentioning a product and return the ten distinct conversations with the clearest question, complaint, or comparison.
Illustrative format only, not a completed run. Replace the placeholders with verified results.
Conversation: [post URL and timestamp] Theme: [question / complaint / comparison] Context: [source-backed summary] Next step: [review owner and suggested response topic]
Recent Search covers the last seven days, not all historical or private discussion. Query matches are incomplete samples. This guide does not schedule monitoring or publish replies.
Review access and pricing for each App below. Connect an account where required, then return to this guide and give the example task and your inputs to your Loadout-enabled agent. Setup alone does not run the task.
No dedicated Skill is linked to this guide yet. You can follow the steps with your agent using the listed Actions.
These optional examples share at least one Action with this guide. They are not required Skills or verified implementations of the complete use case.
Mapped to the current public Loadout catalog
Demand and workflow source
How to Build a Cross-Platform Social Listening Agent