Schema Markup Myths That Are Costing You Traffic
Persistent schema markup myths are quietly draining search visibility. Here's what the evidence actually shows in 2025.
Practical guides on GEO, AI citation tracking, brand authority building, and getting your brand cited by ChatGPT, Claude, Gemini, and Perplexity.
210 articles
Persistent schema markup myths are quietly draining search visibility. Here's what the evidence actually shows in 2025.
Most schema guides bury the properties that actually matter. Here's what's required, what's recommended, and what you can safely skip.
Google officially recommends JSON-LD for schema markup. It's easy to maintain, compatible with dynamic content, and keeps structured data separate from your HTML.
Three structured data formats, one clear winner for most teams. See why Google favors JSON-LD and when Microdata or RDFa still make sense.
Schema markup and meta tags are both metadata, but they serve entirely different audiences and produce very different SEO outcomes.
Rich results transform standard search listings into visual SERP features. Here's what triggers them and how to qualify.
Structured data lets search engines read your content as facts, not just text — using schema.org markup to make meaning machine-readable.
Schema markup improves how AI systems extract and cite content — but the mechanism is indirect. Here's what the evidence actually shows.
The most common healthcare schema markup errors explained, with corrected code you can deploy immediately to recover search and AI visibility.
Health SaaS platforms can use medical schema markup without employing physicians. The key is matching schema types to what your product actually does.
AI systems cite healthcare pages at unusually high rates. The pattern comes down to shared structural and credentialing traits, not brand recognition.
Skipping schema validation on healthcare pages risks suppressed rich results and YMYL flags. This workflow catches every error in under 30 minutes.