What AI Says About Your Business — Accuracy Audit and Correction Plan — 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 an accuracy audit with a correction plan targeting the sources feeding the errors. Input from my side: what the assistants returned about you. This is an accuracy audit of what AI assistants say about your business 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 accuracy audit of what AI assistants say about your business. You get what the assistants returned about you. Find the five findings worth acting on, rank them, and attach the likely business impact to each. Turn the result into an accuracy audit with a correction plan targeting the sources feeding the errors. The last section: three concrete steps to move factual errors corrected.

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 accuracy audit of what AI assistants say about your business. Input: what the assistants returned about you, plus what we currently produce. Tell me where it loses accuracy, clarity or visibility. Remove work that adds nothing. Hand back a better an accuracy audit with a correction plan targeting the sources feeding the errors. Include each improvement mapped as before-issue, change, expected factual errors corrected 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 accuracy audit of what AI assistants say about your business into an automated workflow. It starts when what the assistants returned about you arrives. It must end with an accuracy audit with a correction plan targeting the sources feeding the errors. 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 factual errors corrected tracking. Keep the whole thing maintainable by a small team.