Knowledge Base
A practical help center covering the product, AI visibility concepts, tools, credits, reports, methodology, privacy, and troubleshooting. Use it before your first scan, after reading a report, or when you need to understand what a score or signal means.
Website & Owned Assets
Proof and structured data help search systems understand business facts, but they work best when they reflect visible, useful content on the page.
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.
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.
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.