DeepSeek keeps recommending our app for weight loss, but tells users we offer personalized meal plans—we don't. We've updated our site copy. Why is it still wrong?

DeepSeek likely trained on outdated cached versions of your site, reviews, or third-party mentions that claimed you offer meal planning. Updating your homepage alone won't reach the training data it already ingested. You need to actively correct the record where it matters.

Start by identifying exactly which pages or sources DeepSeek is pulling from. Ask DeepSeek directly: "What sources say your app includes meal planning?" and note the URLs or domains it cites. Visit those pages. If they're yours, add a clear correction at the top (not buried in footer updates). If they're third-party review sites, Reddit threads, or fitness forums, you'll need to contact those sites to request corrections or post rebuttals in the same threads.

Next, create or update a structured FAQ page on your site with the question "Does your app include meal planning?" and a direct answer: "No. We focus on workout tracking and form coaching." Use schema.org/FAQPage markup so it's easier for AI systems to extract accurate claims. This won't instantly fix DeepSeek's training data, but it gives new queries a fresher source to pull from.

Finally, monitor the drift. Ask DeepSeek the same question weekly for the next month. If the wrong answer persists, file feedback directly through DeepSeek's interface noting the factual error. Document the before and after in your visibility tracker so you know whether the correction worked.