Structured data tells search engines what a page actually is: an article, a product, a guide, a business. Sofia reviews the schema already present, assesses what the page really represents, and recommends the types that fit, so the markup describes the page honestly.
For teams who want structured data that reflects the content, not a pile of markup copied between templates.
Schema is easy to copy and hard to keep honest. Pages inherit markup from a template, describe themselves as something they are not, or carry no structured data at all. Sofia reviews what is there against what the page actually is, and recommends types that match.
↘ marked as a product, reads as an article@type: Product on a page that is plainly a how-to guide, with no Article or HowTo markup anywhere.
@type: HowTo with article context, recommended because the page is a step-by-step guide. Suggested for review.
Sofia reports the structured data she detects, assesses the apparent page type, and recommends suitable schema. She never invents fields or marks a page as something it is not.
SOFIA → Sofia flags the mismatch and recommends the article or how-to types that actually describe the page.
She assesses what the page is and recommends a sensible starting set, for a person to approve.
Sofia points out the schema that would describe the organisation, without inventing facts to fill it.
She notes the opportunity and refers the snippet implications to Morgan, leaving the decision to the editor.
Sofia reviews where the inherited markup no longer fits the individual pages it sits on.
She surfaces markup that would assert more than the page can support and leaves it for human review.
Structured data is a statement about the page. Sofia reviews and recommends, but never writes false markup, invents fields or marks a page as something it is not. Recommendations go through human approval before anything is applied.
Add Sofia to your workflow and every page reaches review with structured data that matches what it actually is.
