Local Trend Participation Filter — AI workflow for Malaysian SMEs
Local Trend Participation Filter works from the trend and your brand position. You get a filter deciding whether to join, adapt or skip, with the embarrassment risks named. AI writes the first draft. You check it before it goes out.
Ready-to-use prompts for Local Trend Participation Filter
Create prompt
Create prompt
Create a first-pass deliverable
Setup · same in all four
You are helping a small or medium Malaysian business in [industry]. Write in plain English. Use short sentences. If customers will read it in Bahasa Malaysia, add a natural BM version. Do not invent numbers, prices, laws or customer details. If something needs a human to check, say so. Platform context: social platforms change their algorithms, reach, ad rules and policies often. Treat every reach figure, ranking behaviour and platform rule as something to confirm against the platform's own current documentation, never as settled fact. Ground findings in what the business's own account data actually shows.
Replace [industry] with yours — “F&B”, “construction”, “retail”.
The task
Build me a filter deciding whether to join, adapt or skip, with the embarrassment risks named. Input from my side: the trend and your brand position. This is a local trend participation filter for Malaysian SMEs running their own social channels without an agency, so keep it grounded and usable. Structure it in tight sections. Close with the single next action. Include a copy-ready version.
Replace “the trend and your brand position” with your real data.
Analyse prompt
Analyse prompt
Analyse the input and identify the highest-impact insights
Setup · same in all four
You are helping a small or medium Malaysian business in [industry]. Write in plain English. Use short sentences. If customers will read it in Bahasa Malaysia, add a natural BM version. Do not invent numbers, prices, laws or customer details. If something needs a human to check, say so. Platform context: social platforms change their algorithms, reach, ad rules and policies often. Treat every reach figure, ranking behaviour and platform rule as something to confirm against the platform's own current documentation, never as settled fact. Ground findings in what the business's own account data actually shows.
Replace [industry] with yours — “F&B”, “construction”, “retail”.
The task
I need analysis on a local trend participation filter. You get the trend and your brand position. Find the five findings worth acting on, rank them, and attach the likely business impact to each. Turn the result into a filter deciding whether to join, adapt or skip, with the embarrassment risks named. The last section: three concrete steps to move trends joined that landed.
Replace “the trend and your brand position” with your real data.
Optimise prompt
Optimise prompt
Improve an existing version for better business results
Setup · same in all four
You are helping a small or medium Malaysian business in [industry]. Write in plain English. Use short sentences. If customers will read it in Bahasa Malaysia, add a natural BM version. Do not invent numbers, prices, laws or customer details. If something needs a human to check, say so. Platform context: social platforms change their algorithms, reach, ad rules and policies often. Treat every reach figure, ranking behaviour and platform rule as something to confirm against the platform's own current documentation, never as settled fact. Ground findings in what the business's own account data actually shows.
Replace [industry] with yours — “F&B”, “construction”, “retail”.
The task
Review and upgrade my local trend participation filter. Input: the trend and your brand position, plus what we currently produce. Tell me where it loses accuracy, clarity or visibility. Remove work that adds nothing. Hand back a better a filter deciding whether to join, adapt or skip, with the embarrassment risks named. Include each improvement mapped as before-issue, change, expected trends joined that landed movement.
Replace “the trend and your brand position” with your real data.
Automate prompt
Automate prompt
Turn the task into a repeatable AI-assisted workflow
Setup · same in all four
You are helping a small or medium Malaysian business in [industry]. Write in plain English. Use short sentences. If customers will read it in Bahasa Malaysia, add a natural BM version. Do not invent numbers, prices, laws or customer details. If something needs a human to check, say so. Platform context: social platforms change their algorithms, reach, ad rules and policies often. Treat every reach figure, ranking behaviour and platform rule as something to confirm against the platform's own current documentation, never as settled fact. Ground findings in what the business's own account data actually shows.
Replace [industry] with yours — “F&B”, “construction”, “retail”.
The task
Turn a local trend participation filter into an automated workflow. It starts when the trend and your brand position arrives. It must end with a filter deciding whether to join, adapt or skip, with the embarrassment risks named. Available systems: Facebook and Instagram, TikTok, WhatsApp Business, Xiaohongshu, social scheduler, Canva, Excel/Google Sheets. Map out: trigger, fields to capture, AI step, decision rules, where a human approves, what happens on failure, data to store. Also trends joined that landed tracking. Keep the whole thing maintainable by a small team.
Replace “the trend and your brand position” and the listed systems with what you actually run.
New here? How the four prompts work together
They are one sequence, not four options. Run them in order on the same piece of work, feeding each answer into the next.
Create
Paste your real data. You get a first draft. Most people never need to go further than this.
Analyse
Paste that draft back in. It tells you what is weak, missing or wrong before a customer sees it.
Optimise
Paste the draft again with what Analyse found. You get a stronger version.
Automate
Only once the output has been good five times running. This is the one people reach for too early.
Nothing forces you through all four. A good Create draft that you edit yourself is a finished job. The longer version.
Specification
- You give it
- The trend and your brand position
- You get back
- A filter deciding whether to join, adapt or skip, with the embarrassment risks named
- Moves
- Trends joined that landed
- Run it
- Weekly
- Priority
- P1
- Works with
- Facebook and Instagram, TikTok, WhatsApp Business, Xiaohongshu, social scheduler, Canva, Excel/Google Sheets
- Tool guides
- WhatsApp Business, Excel & Google Sheets, TikTok Shop
Is this for you?
- Pick it for
- Malaysian SMEs running their own social channels without an agency. No setup needed. If you can copy and paste, you can run it.
- What you get
- Drafted in minutes, not built from scratch. It aims at risk and compliance. Watch one number: trends joined that landed.
- Reach for it when
- Most SMEs run it weekly. If you are doing it by hand more often, automate it first.
How to run it
- 01Collect the input: the trend and your brand position.
- 02Copy the Create prompt and paste it into ChatGPT, Claude or Gemini.
- 03Replace “the trend and your brand position” in the prompt with your real data, then run it.
- 04Read the output against what you already know and correct anything the model guessed at.
- 05Track trends joined that landed. Only wire up the Automate prompt after five useful runs in a row.
The tools you will need
The prompts run in any chat assistant — ChatGPT, Claude or Gemini. These are what you need around them to get the input in and the output somewhere useful.
- Facebook and Instagram
- TikTok
- WhatsApp Business
- Xiaohongshu
- social scheduler
- Canva
- Excel/Google Sheets
Data & privacy
If you paste customer or staff details into an AI tool, your business stays responsible for them under the PDPA. Replace names and numbers with initials or references first.
Using customer data with AI tools in Malaysia covers what to check with any provider before you paste.
For this website, it works differently.
Nothing you type here is sent to us or to an AI model. The prompts are static content, and the copy button works directly inside your browser.
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Maintained by Naven Pillai
