How to fix your brand's reputation in AI answers
When ChatGPT gets your brand wrong, the answer is to correct the source — not the AI. Here's the playbook senior operators use.
Key takeaways
- • AI answers come from a shifting set of grounding sources you can influence.
- • Most bad AI answers trace back to 1–3 outdated or wrong third-party pages.
- • Re-earning citations is faster than waiting for engines to forget.
- • Monitor weekly — answers drift even when you do nothing.
The short answer
To fix your brand's reputation in AI answers: identify the wrong source, correct it (or replace it with a stronger one), publish your own canonical entity content, and re-earn citations from sources the AI engine already trusts.
Step 1 — Trace the source
Every wrong AI answer points to something. Ask the AI to cite its sources. In 80% of cases, the bad answer traces back to an outdated press release, a stale third-party listing, or a Wikipedia paragraph that needs editing. Fix the upstream page and the AI answer changes within weeks.
Step 2 — Publish your truth
Create an explicit 'About' page, Organization schema, and an llms.txt file at your domain root. Use consistent entity naming. AI engines reward brands that make their own canonical context easy to read.
Step 3 — Re-earn the citation
Get the corrected version cited on a high-trust third-party site — round-ups, comparison pages, expert quotes. AI engines weight third-party citations heavily, and a single new citation on a trusted source can flip an entire answer set.