AI brand confusion is when AI states wrong or outdated facts about you or your company. Improving AI brand clarity, how consistently models describe you, reduces confusion.
You cannot search AI answers like Google. You need to run prompts in ChatGPT, Claude, and Gemini, or use a tool that samples the models for you. Run an AI brand awareness audit to see how each model describes your company today.
Wrong or outdated facts often come from training data, scraped copy from old pages, competitor mix-ups, or stale listings. Once you know what AI is saying, you can trace it back to a source (your website, LinkedIn, third-party directories, or docs) and fix it there.
See what ChatGPT, Claude, and Gemini currently say about your company.
Trace wrong facts to their origin: your website, LinkedIn, docs, or third-party sites.
Update the copy, facts, or listing where the wrong information lives.
Give AI clear, machine-readable signals so it can read your correct facts. See our llms.txt resource.
Run the audit again to confirm AI now reflects your updates.
Models do not refresh instantly. After you fix the source and add better signals, it can take time for new training or retrieval to pick up the changes. Re-audit periodically; consistency across your owned channels (website, LinkedIn, llms.txt) gives AI the best chance to get it right.
Run a free AI audit to see what ChatGPT, Claude, and Gemini say about your company. Get actionable steps to fix wrong or outdated facts.
Detect and Fix AI Brand Confusion