makefield

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AI got a fact about you wrong. The order of operations to fix it.

You can't edit the model. You can change what it reads. Here's the sequence: calm, in order.

An AI assistant says something false about your company: wrong founding year, a product you don't sell, a price that's years out of date. The instinct is to argue with the chat. Don't. Here's the order that actually works.

1. Confirm it's real, not a fluke. Ask the same question a few times, across more than one assistant, in fresh sessions. Answers drift between sessions, so one bad reply isn't a pattern. Fix patterns, not noise.

2. Find what it's reading. Ask the assistant for its sources, then actually open them. The error usually traces to a specific page (an outdated profile, a wrong directory entry, a third-party article), and sometimes the citation goes nowhere at all. The wrong source is your target.

3. Fix it at the source, not in the chat. Correct the authoritative pages: your own site (in plain text, with valid structured data that states the fact), and the third-party sources you can influence. You're not editing the model. You're changing the evidence it draws from.

4. Re-measure, and wait. Assistants update only after they re-read the web. Re-run your check over the following weeks and watch the answer move. Expect weeks, not minutes.

One honest limit: some sources you don't control, and no fix is instant or guaranteed. But the order matters: most people skip step 1, panic at step 2, and never reach step 3, where the actual fix lives.

This is the "Correct" in the method. See the overview.