AI Visibility Baseline Test Across Assistants — AI workflow for Malaysian SMEs

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.  Search context: search platforms change their rules and results often. Treat every ranking factor, policy and platform behaviour as something to confirm against the platform's own current documentation, never as settled fact. Ground findings in what the business's own data actually shows, not in assumptions about the algorithm. AI-search context: AI visibility findings change fast and vary by assistant. Record what you actually observed on the day you ran it, and never state an AI platform's ranking rules as fact.

Replace [industry] with yours — “F&B”, “construction”, “retail”.

The task

Build me a test protocol with a recording sheet for which assistants mention you and what they cite. Input from my side: the buyer questions your customers actually ask. This is an AI visibility baseline test across assistants for Malaysian SMEs doing their own search visibility work without an agency. Keep it grounded and usable. Structure it in tight sections. Close with the single next action. Include a copy-ready version.

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.  Search context: search platforms change their rules and results often. Treat every ranking factor, policy and platform behaviour as something to confirm against the platform's own current documentation, never as settled fact. Ground findings in what the business's own data actually shows, not in assumptions about the algorithm. AI-search context: AI visibility findings change fast and vary by assistant. Record what you actually observed on the day you ran it, and never state an AI platform's ranking rules as fact.

Replace [industry] with yours — “F&B”, “construction”, “retail”.

The task

I need analysis on an AI visibility baseline test across assistants. You get the buyer questions your customers actually ask. Find the five findings worth acting on, rank them, and attach the likely business impact to each. Turn the result into a test protocol with a recording sheet for which assistants mention you and what they cite. The last section: three concrete steps to move assistant mention rate.

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.  Search context: search platforms change their rules and results often. Treat every ranking factor, policy and platform behaviour as something to confirm against the platform's own current documentation, never as settled fact. Ground findings in what the business's own data actually shows, not in assumptions about the algorithm. AI-search context: AI visibility findings change fast and vary by assistant. Record what you actually observed on the day you ran it, and never state an AI platform's ranking rules as fact.

Replace [industry] with yours — “F&B”, “construction”, “retail”.

The task

Review and upgrade my AI visibility baseline test across assistants. Input: the buyer questions your customers actually ask, plus what we currently produce. Tell me where it loses accuracy, clarity or visibility. Remove work that adds nothing. Hand back a better a test protocol with a recording sheet. Which assistants mention you and what they cite, with each improvement mapped as before-issue, change, expected assistant mention rate movement.

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.  Search context: search platforms change their rules and results often. Treat every ranking factor, policy and platform behaviour as something to confirm against the platform's own current documentation, never as settled fact. Ground findings in what the business's own data actually shows, not in assumptions about the algorithm. AI-search context: AI visibility findings change fast and vary by assistant. Record what you actually observed on the day you ran it, and never state an AI platform's ranking rules as fact.

Replace [industry] with yours — “F&B”, “construction”, “retail”.

The task

Turn an AI visibility baseline test across assistants into an automated workflow. It starts when the buyer questions your customers actually ask arrives. It must end with a test protocol with a recording sheet for which assistants mention you and what they cite. Available systems: Google Search Console, Google Analytics, Google Business Profile, your website CMS, 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 assistant mention rate tracking. Keep the whole thing maintainable by a small team.