Negative Review Response and Recovery Protocol — AI workflow for Malaysian SMEs
Negative Review Response and Recovery Protocol turns the negative review details into a response and recovery protocol. AI writes the first draft. You check it before it goes out.
Ready-to-use prompts for Negative Review Response and Recovery Protocol
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 a response and recovery protocol. Input from my side: the negative review details. This is a negative review response and recovery protocol for Malaysian local businesses managing their Google Business Profile, so keep it grounded and usable. Structure it in tight sections. Close with the single next action. Include a copy-ready version.
Replace “the negative review details” 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 a negative review response and recovery protocol. You get the negative review details. Find the five findings worth acting on, rank them, and attach the likely business impact to each. Turn the result into a response and recovery protocol. The last section: three concrete steps to move rating recovery.
Replace “the negative review details” 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 negative review response and recovery protocol. Input: the negative review details, plus what we currently produce. Tell me where it loses accuracy, clarity or margin. Remove work that adds nothing. Hand back a better a response and recovery protocol, with each improvement mapped as before-issue, change, expected rating recovery movement.
Replace “the negative review details” 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 a negative review response and recovery protocol into an automated workflow. It starts when the negative review details arrives. It must end with a response and recovery protocol. Available systems: Google Business Profile, Google Maps, review platforms, Excel/Google Sheets. Map out: trigger, fields to capture, AI step, decision rules, where a human approves, what happens on failure, data to store, and rating recovery tracking. Keep the whole thing maintainable by a small team.
Replace “the negative review details” 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 negative review details
- You get back
- A response and recovery protocol
- Moves
- Rating recovery
- Run it
- As needed
- Priority
- P1
- Works with
- Google Business Profile, Google Maps, review platforms, Excel/Google Sheets
- Tool guides
- Excel & Google Sheets, Google Business Profile
Is this for you?
- Pick it for
- Malaysian local businesses managing their Google Business Profile. 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: rating recovery.
- Reach for it when
- Most SMEs run it as needed. If you are doing it by hand more often, automate it first.
How to run it
- 01Collect the input: the negative review details.
- 02Copy the Create prompt and paste it into ChatGPT, Claude or Gemini.
- 03Replace “the negative review details” 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 rating recovery. 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.
- Google Business Profile
- Any tool you already use is fine.
- Google Maps
- Any tool you already use is fine.
- review platforms
- Any tool you already use is fine.
- Excel/Google Sheets
- Any tool you already use is fine.
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