Find pages missing schema markup and rich result potential
Use workflows that analyze SERP features for your ranking queries and compare against your page structure to identify exactly where adding schema markup could win you rich results.
Illustrative preview - actual platform experience may differ.
How it works
SERP feature analysis meets your page structure for targeted schema recommendations.
Analyze SERP features
Workflows use the SerpAPI step to check which SERP features appear for your ranking queries - FAQ rich results, how-to snippets, product schema, and more.
Audit your markup
Cross-reference SERP features with your page structure. The AI identifies pages where you're eligible for rich results but missing the required structured data.
Generate schema recommendations
Get specific schema type recommendations per page, with context on why each one matters for that particular query and page type.
What you can do
SERP feature detection
Workflows use the SerpAPI step to check which rich results appear for your ranking queries - FAQ snippets, how-to results, product cards, review stars, and more.
Schema gap analysis
Cross-reference detected SERP features with your page structure. The AI identifies where you're eligible for rich results but missing the required structured data markup.
Page-type recommendations
Get schema type recommendations tailored to each page type - product pages, articles, FAQ pages, how-to guides - based on what's actually appearing in the SERPs.
FAQ schema identification
The AI detects pages with FAQ-style content that aren't marked up with FAQ schema, identifying quick wins for rich result eligibility.
Product schema opportunities
For e-commerce pages, identify where product schema, review markup, or pricing structured data could win you enhanced SERP listings.
Priority ranking by traffic potential
Combine schema opportunity data with Search Console traffic metrics. Focus on the pages where adding structured data could have the biggest visibility impact.
Frequently asked questions
What schema types can Morrison recommend?
Morrison can identify opportunities for FAQ schema, How-To schema, Product schema, Article schema, Review schema, and other structured data types – based on your page content and what SERP features appear for your ranking queries.
Does Morrison implement schema markup?
No. Morrison identifies where schema markup is missing and recommends which types to add based on SERP feature analysis. Your development team handles the actual implementation of structured data.
How does this differ from SERP feature targeting?
SERP feature targeting focuses on content formatting to win featured snippets and PAA boxes. Schema markup opportunities specifically targets structured data implementation – the technical layer that makes pages eligible for rich results.
Related use cases
Adjacent jobs your team will hit next.
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