Google and Food App Review Response Drafting — AI workflow for Malaysian SMEs
Google and Food App Review Response Drafting works from the reviews needing a response. You get response drafts matched to each review's tone, in the reviewer's language. AI writes the first draft. You check it before it goes out.
Ready-to-use prompts for Google and Food App Review Response Drafting
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.
Replace [industry] with yours — “F&B”, “construction”, “retail”.
The task
Build me response drafts matched to each review's tone, in the reviewer's language. Input from my side: the reviews needing a response. This is Google and food app review response drafting for cafés, restaurants, kopitiams and cloud kitchens run by small Malaysian teams. Keep it grounded and usable. Structure it in tight sections. Close with the single next action. Include a copy-ready version.
Replace “the reviews needing a response” 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.
Replace [industry] with yours — “F&B”, “construction”, “retail”.
The task
I need analysis on Google and food app review response drafting. You get the reviews needing a response. Find the five findings worth acting on, rank them, and attach the likely business impact to each. Turn the result into response drafts matched to each review's tone, in the reviewer's language. The last section: three concrete steps to move review response time.
Replace “the reviews needing a response” 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.
Replace [industry] with yours — “F&B”, “construction”, “retail”.
The task
Review and upgrade my Google and food app review response drafting. Input: the reviews needing a response, plus what we currently produce. Tell me where it loses accuracy, clarity or margin. Remove work that adds nothing. Hand back a better response drafts matched to each review's tone, in the reviewer's language. Include each improvement mapped as before-issue, change, expected review response time movement.
Replace “the reviews needing a response” 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.
Replace [industry] with yours — “F&B”, “construction”, “retail”.
The task
Turn Google and food app review response drafting into an automated workflow. It starts when the reviews needing a response arrives. It must end with response drafts matched to each review's tone, in the reviewer's language. Available systems: POS, delivery platforms (GrabFood, foodpanda, ShopeeFood), supplier WhatsApp, 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 review response time tracking. Keep the whole thing maintainable by a small team.
Replace “the reviews needing a response” 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 reviews needing a response
- You get back
- Response drafts matched to each review's tone, in the reviewer's language
- Moves
- Review response time
- Run it
- Daily
- Priority
- P2
- Works with
- POS, delivery platforms (GrabFood, foodpanda, ShopeeFood), supplier WhatsApp, Excel/Google Sheets
- Tool guides
- WhatsApp Business, Excel & Google Sheets, POS systems, Delivery platforms
Is this for you?
- Pick it for
- cafés, restaurants, kopitiams and cloud kitchens run by small Malaysian teams. 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 growth. Watch one number: review response time.
- Reach for it when
- Most SMEs run it daily. If you are doing it by hand more often, automate it first.
How to run it
- 01Collect the input: the reviews needing a response.
- 02Copy the Create prompt and paste it into ChatGPT, Claude or Gemini.
- 03Replace “the reviews needing a response” 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 review response time. 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.
- delivery platforms (GrabFood
- Any tool you already use is fine.
- foodpanda
- Any tool you already use is fine.
- ShopeeFood)
- Any tool you already use is fine.
- supplier WhatsApp
- Any tool you already use is fine.
- Excel/Google Sheets
- Any tool you already use is fine.
Check the rules yourself
This workflow touches rules set by someone else. Check the current requirements yourself before you act on the output.
- JAKIM
- Halal status depends on the whole supply chain, not just the recipe. Changing a supplier can affect it, and logo use is controlled.
Links go to each authority’s own site. See all Malaysian authorities.
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