It is easy to add a five-star rating to JSON. That does not make your new product reviewed.
Structured data is useful when it accurately describes visible content. It becomes misleading when the markup invents an author, aggregate rating, review count or outcome that the page cannot substantiate.
Google’s structured-data guidelines require markup to represent the page appropriately. Treat that as a consistency check between the machine-readable record and the reader’s experience.
Start with facts you actually have
For an article, use the real headline, description, publication date, publisher and author identity. If the work is produced by an editorial organization with AI assistance, describe that honestly rather than inventing an expert persona.
Link the canonical page and use an image that belongs to the article. Do not label a conceptual illustration as a product screenshot or customer result.
Validate meaning as well as syntax
A JSON parser can confirm that the markup is valid JSON. A schema validator can identify some structural issues. Neither can determine whether the claimed author really wrote the article or whether the rating exists.
Read the visible page beside the structured data. Check dates, titles, prices and availability. When the product changes, update both representations together.
Keep expectations proportionate
Correct markup can help systems interpret a page and may support eligibility for certain search appearances. It does not guarantee a particular ranking, rich result or AI citation.
For a small publication, a modest accurate implementation is preferable to a large collection of decorative schema types added because a checklist mentioned them.
Before release, ask one simple question of every field: where can a reader verify this on the page or through the linked identity? If the answer is nowhere, remove or correct the field. Machine-readable fiction is still fiction.