When AI gets your
company wrong.

Ask an AI assistant about your company. Not your marketing. Your company, by name.

What comes back is assembled from your website, your profiles, old press, directories, reviews, and whatever else the system can parse and trust. You did not approve it. Nobody did. And for a growing share of the people who matter to you, that answer is the first impression.

How the record goes wrong.

AI answers go wrong for boring reasons. Your own pages disagree with each other, so the system averages the contradiction. Your biggest claims have no inspectable evidence, so the system falls back to older, better-documented facts about you, including ones you have outgrown. Your competitors publish structured, consistent information, so their version of the category becomes the default frame you get described inside.

AI systems do not repeat what you say. They repeat what they can verify.

The audit.

Run your company through the major assistants and search engines and write down every factual statement they make: what you do, who you serve, where you are, who runs the company, what you charge, what you claim. Mark each one right, outdated, or wrong. That list is your correction plan, in priority order of business damage.

The correction.

Corrections are unglamorous and effective. Make every page on your site agree on the same facts. Attach evidence to the claims that matter. Publish structured data so machines can parse who you are instead of guessing. Keep names, titles, and numbers current everywhere they appear. Then re-run the audit and watch the answers move.

At FuelPress this is instrumented rather than guessed: the discoverability dimension of the Trustability Index runs on the Mention methodology published at mention.report by Mention Group, an independent practice we work with, so the reading is repeatable and comparable over time.