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AI agent for social media coordinators

Hashtag and Trend Participation Vetting Agent

The brand joins only trends whose origin, current meaning and risks are understood.

DecisionsRisk managementMarketingPR and communications
See how it worksGet access
Hashtag and Trend Participation Vetting Agent: what goes in, what the agent does and what you get

What it does

A trend looks fun until someone points out where it started. Before a post joins a trend or hashtag, this agent traces its origin: who started it, what it first meant and how its use has shifted. It checks recent usage across several platforms, looks for controversy or misuse, checks platform rules and checks fit against the brand rules. If the picture is unclear, it samples more posts from different groups and regions before deciding. It gives a clear recommendation with examples. The coordinator approves joining. Edge case: a hashtag popular with teens has a second meaning in another community, so the agent flags it despite high use.

How it works

Follow the arrows from top to bottom. The orange dashed arrow is the loop: when a check fails, the agent goes back and tries again.

Start and resultWhat it doesA check on its own workWaits for your OKGoes back and retries
Yes, continueYes, continueApprovedNoNo 1 STARTS WHEN Coordinator proposes a trend or hashtag 2 USES A TOOL Search for the trend's earliest uses and origin 3 USES A TOOL Sample recent posts across platforms and groups 4 DOES Summarize the meaning, tone and any controversy 5 CHECKS THE RESULT Is the meaning consistent across at least 30 recentposts from different groups? If not: collect more samples from other regions andcommunities and resummarize. Back to step 3. 6 USES A TOOL Check platform rules and the brand rules for fit 7 DOES Review the draft post against the findings 8 CHECKS THE RESULT Does the draft fit the meaning and brand rules? If not: suggest changes or recommend skipping the trend.Back to step 6. 9 DOES Write the recommendation with examples and timing 10 YOU APPROVE Coordinator approves joining 11 RESULT Vetting note saved
Read the steps as a list
  1. Coordinator proposes a trend or hashtag
  2. Search for the trend's earliest uses and origin
  3. Sample recent posts across platforms and groups
  4. Summarize the meaning, tone and any controversy
  5. Is the meaning consistent across at least 30 recent posts from different groups?If not: collect more samples from other regions and communities and resummarize. Back to step 3.
  6. Check platform rules and the brand rules for fit
  7. Review the draft post against the findings
  8. Does the draft fit the meaning and brand rules?If not: suggest changes or recommend skipping the trend. Back to step 6.
  9. Write the recommendation with examples and timing
  10. Coordinator approves joiningThe agent waits here for your OK.
  11. Vetting note saved

How it decides

It recommends joining when the origin is clear, recent samples show a consistent meaning and nothing breaks brand or platform rules.

  • Require a consistent meaning across at least 30 recent samples.
  • Recommend skipping when the origin includes harm or hate.
  • Check usage in at least 3 groups or regions.
  • Recommend acting within a time window as trends age quickly.

Make it yours

Every agent is a starting point. You choose these settings for your own situation.

  • Platforms checked
  • Sample size (default 30)
  • Brand rules
  • Time window for trends

What keeps you in control

It always asks you first

  • Coordinator approves joining the trend

Hard limits

  • Never post itself
  • Default to skip when unclear

It stops when

  • Done: recommendation approved or declined.
  • Stop: not enough evidence, so the default is to skip.

Set it up

We guide you through the set-up, step by step

Members get the full set-up guide for this agent. No technical skills needed: you copy, paste and upload.

10 minto set it up in your AI
5 AIsChatGPT, Claude, Copilot, Gemini, Grok
  • One set of instructions to paste into your AI, with the clicks for ChatGPT, Claude, Microsoft 365 Copilot, Gemini and Grok
  • The agent then walks you through connecting your own data, one source at a time
  • A downloadable copy with the flow chart, the rules and the full guide
Get access to this agent

An example run

What happensThe coordinator proposed a hashtag with 40,000 posts. The consistency check failed: in the first 30 samples, 11 used a sarcastic meaning. The agent sampled 60 more posts from other regions and found the sarcastic use was growing. It recommended skipping. The coordinator agreed and chose a different trend with a stable meaning.

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