Reviews、proof 和 schema 有什么作用？

Proof and structured data help search systems understand business facts, but they work best when they reflect visible, useful content on the page.

Proof makes claims believable

AI systems need more than promotional claims. Reviews, credentials, case studies, awards, photos, policies, team details, before-and-after examples, and customer outcomes can all make a business easier to trust.

The proof should match the buyer's concern. A clinic may need practitioner credentials and appointment information. A restaurant may need menu, outlet, and reservation details. A B2B service may need case studies and industry examples.

What structured data can and cannot do

Structured data gives search engines explicit clues about page content. Google's documentation describes it as a standardized format for classifying information on a page, and LocalBusiness markup can describe details such as business hours, departments, and related business facts.

Structured data is not a magic ranking switch. It should support visible page content, not replace it. If the page itself is thin or inconsistent, schema alone will not solve the trust problem.

Use LocalBusiness or relevant schema only when it matches the business.
Keep schema facts consistent with visible page facts.
Validate structured data after implementation.

How to use this inside GEO work

Start with clear visible content, then add structured data where appropriate. A well-written FAQ with visible answers is useful on its own; FAQ schema can help make the structure clearer to systems that support it.

For Aitrack reports, proof and schema issues should translate into specific page recommendations, not vague advice to add markup everywhere.