AI Brain for Commerce
Use case 52Google Search ConsoleUpdated

Inspect and repair blog structured data

Locate the source of problematic markup, make a targeted repair and distinguish source checks from search-engine validation.

The context

A blog article can contain its own structured data while the theme generates additional markup. Duplicated Article or FAQ markup and incomplete Product entries require different fixes. The operator needs to locate the source before changing anything, preserve the visible article and product recommendations, and know exactly what has been checked after a repair.

The Bustly workflow

Bustly reads article content and theme output, identifies duplicate markup and rechecks it after the operator's corrections, reporting breadcrumb issues separately. In a separate repair task, it traced incomplete Product entries to an ItemList script in the article body, not the theme. It removed that script, checked that the visible HTML was unchanged, updated the article, then read back the saved content and fetched the public page source to confirm removal. These checks do not establish rendered-DOM validation, a successful Search Console recheck or improved rankings.

A prompt to adapt

Inspect this article's structured-data errors, duplicate Article or FAQ markup and breadcrumb issues. Identify whether each issue comes from the article body, theme or another source. Propose the smallest fix while preserving the visible content. After I approve the change, update it, read back the saved article and fetch the public page source again. List any browser-rendered or search-platform checks still outstanding.

Available actions depend on connected tools and permissions. Confirm the scope and authorization before publishing, sending messages or changing spend.

Adapted from real operating tasks. Customer identifiers and sensitive business details are omitted. The workflows are examples, not promises of business results.