Mulder Agency

✦ Website Optimization

Structured Data for Answer Engine Optimization

Structured data (schema markup) gives AI systems explicit, machine-readable information about your business — eliminating the ambiguity they would otherwise have to resolve from unstructured content. It does not directly improve Google ranking but significantly improves AI search visibility.

Schema markup communicates to AI systems in a language they process more reliably than natural text. Without it, AI systems infer your business type, location, and services from your content — and inference produces errors. With well-implemented schema, AI systems know exactly what type of business you are, where you operate, what you charge, and how customers rate you.

For local businesses, the priority schema types are: LocalBusiness (or a more specific subtype like Plumber, Dentist, LegalService), Service for each service you offer, FAQPage on pages with Q&A content, and BreadcrumbList for navigation structure. These four schema types, correctly implemented, cover the majority of what AI systems need to confidently recommend a local business.

LocalBusiness schema

Highest

Your business name, address, phone, category, hours, price range, service area, and accepted payment methods. Use the most specific LocalBusiness subtype available for your industry.

Service schema

High

One Service schema block per service you offer. Includes service name, description, provider, area served, and price if applicable. Tells AI systems what you do specifically.

FAQPage schema

High

Applied to pages with question-and-answer content. Increases the likelihood that specific Q&A pairs are extracted and used in AI responses to matching queries.

Review schema

High

AggregateRating pulling from your actual review data. Signals to AI systems that your business has been validated by customers. Must reflect real review data — fabricated rating schema is a trust violation.

BreadcrumbList schema

Medium

Helps AI systems understand your site structure and page hierarchy. Improves how pages are classified and retrieved for topic-specific queries.

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