I tried using AI to find product information — here’s what happened

𝗜 𝗧𝗿𝗶𝗲𝗱 𝗨𝘀𝗶𝗻𝗴 𝗔𝗜 𝘁𝗼 𝗙𝗶𝗻𝗱 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻—𝗛𝗲𝗿𝗲’𝘀 𝗪𝗵𝗮𝘁 𝗛𝗮𝗽𝗽𝗲𝗻𝗲𝗱



I put on the “𝗔𝗜 𝗴𝗹𝗮𝘀𝘀𝗲𝘀.”

First thing that disappeared? 𝗦𝘁𝘆𝗹𝗶𝗻𝗴. AI doesn’t care about design—it processes raw text.

Next? 𝗪𝗲𝗯𝘀𝗶𝘁𝗲 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲. No menus, no navigation—just straight answers to my questions.

So far, so good.

𝗕𝘂𝘁 𝗖𝗮𝗻 𝗔𝗜 𝗗𝗲𝗹𝗶𝘃𝗲𝗿?

𝗦𝗵𝗼𝗿𝘁 𝗮𝗻𝘀𝘄𝗲𝗿: 𝗡𝗢. (I want to cry…)

𝗪𝗵𝘆?

After digging deeper, I found the problem: most manufacturer websites aren’t ready for the AI era. They claim to be knowledge hubs, but in reality, they’re just digital billboards designed to lure users in.

AI doesn’t care about 𝗯𝗿𝗮𝗻𝗱𝗶𝗻𝗴, 𝗱𝗲𝘀𝗶𝗴𝗻, 𝗼𝗿 𝗺𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲. It 𝗱𝗶𝘀𝘀𝗲𝗰𝘁𝘀, 𝗮𝗻𝗮𝗹𝘆𝘇𝗲𝘀, 𝗮𝗻𝗱 𝘀𝘆𝗻𝘁𝗵𝗲𝘀𝗶𝘇𝗲𝘀 content to generate truth-based responses. And that’s where things fall apart.

𝗧𝗵𝗲 𝗡𝗲𝘄 𝗔𝗜 𝗪𝗲𝗯𝘀𝗶𝘁𝗲 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀

✅ 𝗨𝗻𝗴𝗮𝘁𝗲𝗱 𝗮𝗰𝗰𝗲𝘀𝘀 – All information should be publicly available.

✅ 𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 𝗱𝗲𝘁𝗮𝗶𝗹𝘀 – No missing specs, pricing, or documentation.

✅ 𝗦𝗲𝗺𝗮𝗻𝘁𝗶𝗰 𝗰𝗹𝗮𝗿𝗶𝘁𝘆 – Avoid proprietary names for common industry terms.

✅ 𝗣𝗿𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗼𝘃𝗲𝗿 𝗯𝗿𝗮𝗻𝗱𝗶𝗻𝗴 – Use numbers, not vague names.

✅ 𝗙𝘂𝗹𝗹 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 𝗹𝗶𝗳𝗲𝗰𝘆𝗰𝗹𝗲 𝘁𝗿𝗮𝗻𝘀𝗽𝗮𝗿𝗲𝗻𝗰𝘆 – List availability, end-of-sale, end-of-life, and obsolete products (LLMs still reference them).

✅ 𝗖𝗼𝗺𝗽𝗿𝗲𝗵𝗲𝗻𝘀𝗶𝘃𝗲 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀 – Everything a customer needs to make a decision.

What You Don’t Need

❌ Fancy, expensive design.

❌ Overcomplicated structure.

𝗔𝗿𝗲 𝗬𝗼𝘂 𝗥𝗲𝗮𝗱𝘆? 𝗧𝗲𝘀𝘁 𝗜𝘁.

Ask your preferred AI tool (ChatGPT, Gemini, etc.) about your products. If the answers match what your sales or pre-sales team would say—𝗰𝗼𝗻𝗴𝗿𝗮𝘁𝘂𝗹𝗮𝘁𝗶𝗼𝗻𝘀, 𝘆𝗼𝘂’𝗿𝗲 𝗮𝗵𝗲𝗮𝗱 𝗼𝗳 𝘁𝗵𝗲 𝗴𝗮𝗺𝗲!

If the responses are incomplete or incorrect, a 𝘀𝘆𝘀𝘁𝗲𝗺 𝗽𝗿𝗼𝗺𝗽𝘁 𝗼𝗿 𝗰𝘂𝘀𝘁𝗼𝗺 𝗔𝗜 𝗺𝗼𝗱𝗲𝗹 may be needed.