Technical Service

Structured Data & Schema Implementation

Schema markup is the language AI models use to understand and trust your content. We implement the structured data that increases your chances of rich results and AI citations.

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From $75
Per page
JSON-LD
Google-recommended format
+30%
Rich result likelihood
100%
Validation tested

Why Schema Matters for AI Search

Schema markup gives AI platforms machine-readable context about your content — who wrote it, what it’s about, when it was published, and how trustworthy it is. Without it, you’re forcing AI to guess.

Proper structured data implementation increases your visibility in Google rich results and improves the likelihood that AI platforms cite your content as a trusted, authoritative source.

Helps Google display rich results (FAQ dropdowns, how-to steps)
Gives AI models machine-readable trust signals
Builds entity connections between your content and your brand
Validated against Google Rich Results Test before delivery

What You Receive

JSON-LD schema code per page
Google Rich Results validation report
Implementation instructions for your CMS
Schema testing confirmation
Ongoing schema recommendations

Schema Types We Implement

We cover every schema type that impacts AI search visibility and Google rich results.

Content

Article & BlogPosting

Tells AI models your content is editorial, dated, and attributed to an author — key trust signals for citation.

FAQ

FAQPage

Enables FAQ-rich results in Google and provides pre-structured Q&A pairs that AI platforms can extract directly.

Tutorial

HowTo

Structured step-by-step instructions that appear in Google rich results and are easily parsed by AI models.

Authority

Author & Person

Establishes authorship and expertise signals — critical for E-E-A-T and AI trust scoring.

Brand

Organization

Connects your content to your brand entity, building the knowledge graph connections that AI platforms rely on.

Navigation

BreadcrumbList

Helps search engines and AI models understand your site’s information architecture and content hierarchy.

What Our Schema Looks Like

Clean, validated JSON-LD that Google recommends and AI models trust.

// Example: Article schema with Author entity
{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "What Is Answer Engine Optimization?",
  "description": "A guide to optimizing content...",
  "author": {
    "@type": "Person",
    "name": "Your Author Name",
    "url": "https://yoursite.com/about"
  },
  "publisher": {
    "@type": "Organization",
    "name": "Your Company"
  },
  "datePublished": "2026-03-01",
  "dateModified": "2026-03-01"
}

Schema FAQ

Common questions about our structured data implementation service.

Can you implement schema on my existing content?
Yes — this service is designed for exactly that. We audit your existing pages, create the appropriate JSON-LD schema, validate it against Google’s Rich Results Test, and deliver it ready to paste into your CMS or send to your developer.
Which CMS platforms do you support?
JSON-LD works on any platform. We provide implementation instructions specific to WordPress (via RankMath, Yoast, or custom code), HubSpot, Webflow, Shopify, and custom-built sites. If you’re on a different platform, we’ll tailor the instructions accordingly.
Is schema included with your content services?
Yes. Schema markup is included at no extra charge with every AEO content piece and managed program article we deliver. This standalone service is for clients who want schema added to existing content that wasn’t created by us.

Get Schema That AI Models Trust

We’ll audit your existing pages and implement validated schema markup — ready to paste into your CMS.

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