Discover creators already discussing a specific problem, then compare recent public posts and available performance evidence before outreach.
For a product launch team building an evidence-based creator shortlist before outreach.
A short creator list with topic fit, source posts, and an explicit reason to include or exclude each person.
Follower count alone does not prove audience fit. Topic-specific posts and comparable performance evidence produce a more defensible shortlist.
Run the Aident Loadout use case “Find X creators for a focused campaign” (use-case:find-x-influencers-for-a-campaign) from https://loadout.aident.ai/use-cases/find-x-influencers-for-a-campaign. Use the Aident Skill to load this use case, then call its real Loadout capabilities: twitter tools, twitter recent search, twitter get post analytics. Ask before any write or paid action. Find creators discussing AI agent reliability, retain candidates with two relevant posts in seven days, and explain the evidence behind the top ten.
Recent Search cannot establish a 30-day posting history. Use its seven-day window and mark unavailable analytics unknown; engagement alone does not prove audience fit. No outreach is sent.
No dedicated Skill is linked to this guide yet. You can follow the steps with your agent using the listed Actions.
Search recent public posts for brand, product, and problem language, then turn the results into a deduplicated listening brief.
Research the live conversation, draft one evidence-grounded launch post, and preserve a review checkpoint before publication.
Separate a fast-moving complaint cluster from routine mentions, preserve source evidence, and prepare a bounded response brief.
Combine current web sources with recent public conversation to distinguish durable changes from short-lived attention.
Demand and workflow source X Impressions vs Engagement: Measure Effective Exposure