Google AI Overviews describes our workout app's features generically—saying it 'tracks calories' instead of our specific methodology. We added schema.org markup but nothing changed. How do we fix this?

Google AI Overviews pulls from your page content first, then schema markup serves as a secondary signal to clarify context and relationships. If your markup is present but the overview still reads generic, the issue is usually that your on-page content itself lacks specificity—AI systems paraphrase and generalize what they find.

Start by auditing what text actually appears on your app's main landing page and key feature pages. If you're saying "tracks calories," that's what will surface. Rewrite those sections to emphasize your differentiated approach: the specific algorithm, the science behind it, or the unique measurement method. Make it concrete and distinctive.

Next, ensure your schema.org markup reflects that specificity too. If you're using SoftwareApplication schema, populate the description field with the same language you just refined on-page—not generic boilerplate. Add applicationCategory and operatingSystem fields completely and accurately; incomplete schema is often ignored.

Test this by searching your app name plus a feature in Google Search, then check if the AI Overview pulls the new language. You can also use Google's Rich Results Test to verify your schema is parsing correctly. Give it 1–2 weeks for the overview to refresh after content changes. Generic output often persists because your content was generic first—schema alone won't rescue that.