Monitor brand conversations on X

Example prompt for your agent

Run the Aident Loadout use case “Monitor brand conversations on X” (use-case:monitor-brand-conversations-on-x) from https://loadout.aident.ai/use-cases/monitor-brand-conversations-on-x. Use the Aident Skill to load this use case, then call its real Loadout capabilities: twitter tools, twitter recent search. Ask before any write or paid action. Review the last seven days of posts mentioning a product and return the ten distinct conversations with the clearest question, complaint, or comparison.

Limits and review checkpoints

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.

Actions used

• Twitter Tools

  Twitter Recent Search

  Searches Tweets from the last 7 days matching a query (using X's search syntax), ideal for real-time analysis, trend monitoring, or retrieving posts from specific users (e.g., `from:username`) DEFAULT FIELDS: Tweet objects always return 'id' and 'text' by default. User objects a…

  FreeWrite action

Skills

No dedicated Skill is linked to this guide yet. You can follow the steps with your agent using the listed Actions.

Related use cases

• 

  Find X creators for a focused campaign

  Discover creators already discussing a specific problem, then compare recent public posts and available performance evidence before outreach.

• 

  Prepare an open-source launch on X

  Research the live conversation, draft one evidence-grounded launch post, and preserve a review checkpoint before publication.

• 

  Detect and triage a social crisis on X

  Separate a fast-moving complaint cluster from routine mentions, preserve source evidence, and prepare a bounded response brief.

• 

  Track AI industry trends across web and X

  Combine current web sources with recent public conversation to distinguish durable changes from short-lived attention.

Verification and source

Demand and workflow source How to Build a Cross-Platform Social Listening Agent