Schema Markup.
Structured data (JSON-LD) embedded in web pages that explicitly declares content type, authorship, dates, and entity relationships. Reduces ambiguity for both Google and AI engines.
How to improve schema markup
- Apply Organization schema with sameAs to all entity records on every page (in root layout)
- Apply Article schema on every blog post and guide with author, datePublished, dateModified
- Apply FAQPage schema wherever Q&A content exists
- Apply Product or Service schema on pricing/product pages with Offer details
- Apply BreadcrumbList schema on every non-root page for navigation clarity
- Validate all schema in Google Rich Results Test before deploying
How to measure progress
Run Google Rich Results Test on a sample of 10 pages. Check that all expected schema types are detected and have no errors.
Common mistakes that erode schema markup
- Inconsistent or duplicated Organization schema across the site
- Missing dates on Article schema
- Schema that doesn't match visible page content (Google penalizes this)
- Forgetting BreadcrumbList — it's a low-effort big win
How CiterLabs handles schema markup
Schema buildout is a standard deliverable in every sprint. CiterLabs's own site uses 5+ schema types per page as the demonstration of what we ship for clients.
Which AI engines weight this most
This factor most strongly affects citation decisions in:
- Google AI Overviews (Google (DeepMind / Search)) — Largest AI search surface by global query volume — appears on more than 40% of US Google searches as of 2026.
- Gemini (Google DeepMind) — Google's flagship AI assistant, integrated across Google Workspace, Android, and the web Gemini app.
- Claude (Anthropic) — Second-largest enterprise AI assistant by API usage.
- ChatGPT (OpenAI) — Leading consumer AI assistant by usage, with 700M+ weekly active users as of 2026.
Want CiterLabs to ship schema markup for you?
A 60-day GEO Sprint addresses schema markup alongside the four other GEO mechanisms. Fixed fee, +20pt citation lift guarantee, full refund if we miss.