Why this matters
When local schema is handled correctly, it reduces friction for crawlers and users. Improving local schema makes it easier to align intent, relevance, and technical signals. Strong local schema decisions compound because they reduce ambiguity and improve consistency across templates.
Common reasons issues show up
- Local Schema is implemented differently across sections of the site
- Signals related to local schema conflict with canonical or index directives
- Updates are made without validating local schema in Search Console
Common mistakes
- Applying local schema inconsistently across templates
- Ignoring how local schema impacts crawl efficiency
- Failing to validate local schema after site changes
- Over-optimizing local schema without checking intent alignment
- Using local schema signals that conflict with canonical URLs
How to check or improve Local Schema (quick checklist)
- Validate local schema in your most important templates and pages.
- Monitor changes in Search Console or analytics after updates.
- Document how local schema should be implemented for future updates.
- Review your current local schema setup for accuracy and consistency.
Examples
Example 1: A site fixes local schema issues and sees more stable indexing within a few weeks. Example 2: A team audits local schema and uncovers conflicts that were suppressing rankings.
FAQs
How often should I review local schema?
Review it after major releases and at least quarterly for critical pages. This keeps local schema aligned with intent and technical signals.
Is local schema different for large sites?
Large sites need stricter governance because small inconsistencies scale quickly. This keeps local schema aligned with intent and technical signals.
What is Local Schema?
Local Schema focuses on aligning signals so search engines and users interpret your page correctly. This keeps local schema aligned with intent and technical signals.
How do I validate local schema?
Use Search Console, site crawlers, and template checks to confirm local schema is implemented correctly. This keeps local schema aligned with intent and technical signals.
Related resources
- Guide: /resources/guides/keyword-research-ai-search
- Template: /templates/definitive-guide
- Use case: /use-cases/marketing-agencies
- Glossary:
- /glossary/search-intent
- /glossary/serp
Local Schema improvements compound over time because they clarify signals and reduce ambiguity for crawlers and users. Use the checklist to prioritize fixes and document changes so the team can maintain consistency across releases.
Local Schema improvements compound when teams document standards and validate changes consistently.
Local Schema improvements compound when teams document standards and validate changes consistently.