Using AI in content work without losing accuracy or voice
Where AI tools genuinely save time in content work, where they introduce risk, and the review steps that keep published work accurate and your own.
4 min read
A freight forwarder's sales executive explains the difference between FOB and CIF three times on Monday. On Tuesday a support colleague calms an importer whose container has been sitting at the port longer than expected. On Wednesday a new customer asks why the final invoice was higher than the quote. None of these answers is written down anywhere a buyer could find it, so the same explanations are given again next week, and the week after.
The value lies in the exact phrasing. A buyer does not search for 'demurrage and detention charges explained'. They type something closer to 'why am I being charged after my container arrived'. If staff translate questions into company language before logging them, you lose the words buyers actually use, in search and in conversation.
Set up one shared place to log questions: a sheet, a simple form or a dedicated channel in your team chat. Keep the fields few, or nobody will fill them in.
Mine other sources too: CRM notes, support tickets, searches made on your own website and emails that begin 'quick question'. Strip out names, phone numbers and shipment references before anything goes into the shared log. The DPDP Act 2023 makes your business responsible for personal data it handles, and the content needs the question, not the person who asked it.
After three or four weeks the log will hold plenty of entries. Merge questions that are really the same question asked differently, then weigh each group on three things.
Start with questions that are both frequent and costly. For the forwarder, 'why was my invoice higher than the quote' is both. Answering it openly before the sale also sets expectations, which prevents the dispute in the first place.
Not every question deserves a full article. Choose the format by how much explanation the answer needs and where the buyer will come across it.
Write FAQs for readers and for your sales team, not for extra space in search results. Google restricted FAQ rich results in 2023 to a narrow group of government and health websites, so the markup alone rarely changes how a business appears.
Someone in your team already explains each topic well. Ask them to talk it through while a colleague takes notes: the comparison they draw, the objection they deal with before it is raised, the example that makes buyers nod. Build the piece from that, then ask the same person to read the draft for anything a buyer could misunderstand.
Every question your team answers twice is an article that has not been written yet.
Be direct about uncomfortable answers. If charges can rise after a quote, say when, why and what the buyer can do to avoid it. Content that dodges the question sends the buyer back to the phone, or to a competitor who answered plainly.
This kind of content only pays off if the team uses it. When a piece goes live, tell the people who logged the question, give them the link and a one-line way to introduce it, and add it to email templates and to quick replies in the WhatsApp Business app.
Keep the log running after the first batch. Once a month, note which questions have eased since their answers went live, which new ones have appeared, and which answers need revising because a process, charge or rule has changed. A question that keeps arriving despite a published answer tells you the answer is unclear or hard to find, not that buyers failed to read it.
Ask sales and support to log every question they answer this week in the customer's own words, then spend thirty minutes on Friday grouping them.
Written by Fibvo — Bengaluru and Erode, India — working with clients in other time zones. Questions, or think we have it wrong? Tell us.
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