Schema Markup Consulting
What We Do
Our schema markup consulting adds explicit context and relationships to your content so search engines can match it more accurately and display rich results. For blogs, SaaS platforms, product catalogs or knowledge hubs, we align the markup with your goals and scale it consistently across templates.
- Schema strategy aligned with content type and search intent.
- JSON-LD implementation (not microdata or RDFa).
- Bulk markup generation and page-type mapping.
- Technical validation (Rich Results Test, schema.org, GSC).
- Error cleanup and enhancement suggestions.
- QA of dynamically injected schema via tag managers or CMS logic.
Structured Data Use Cases We Support
We apply Schema.org markup across a wide range of content types and industries, ensuring each implementation matches the format, attributes, and intent needed for maximum search impact. Whether you publish articles, manage a product catalog, or run a SaaS platform, we adapt structured data to fit your goals and audience.
Speak the Search Engine’s Language
Search engines rely on structured data to understand your content, qualify it for enhanced visibility, and enable rich results in search. We help B2B companies implement, validate, and scale structured data using Schema.org, with a focus on both accuracy and strategy.
Use Cases
We Support
We turn your content into clear, structured data that boosts visibility in search and AI results. From articles to products, every element is optimized for discoverability and rich results that drive qualified traffic.
- Articles, guides, FAQs, and documentation hubs.
- Local business and organization profiles.
- Products, offers, reviews, and availability.
- Events, how-tos, videos, software apps.
- Job postings or SaaS-specific use cases.
- Custom schema types for B2B niches. (e.g. financial services, API references, platform integrations)
Our Approach
- Choose schema types based on actual business objectives and SERP goals.
- Create structured data logic that scales cleanly across templates.
- Work with devs or CMS Manager to implement non-invasive markup.
- Monitor schema health and identify invalidation risks.
Why It Matters
Structured data is no longer optional, it’s how Google interprets entities, context, and relationships. It impacts not just visibility (e.g. rich results), but also how your content is matched to queries and indexed.
Schema builds trust, clarifies context, and feeds AI systems the clarity they need.Schema builds trust, clarifies context, and feeds AI systems the clarity they need.
Frequently Asked Questions (FAQ)
Find answers to common questions on schema types, JSON-LD, Rich Results validation, cleanup, monitoring, and applying structured data at scale.
It’s a way to describe your content to search engines using standardized formats like Schema.org, enabling features like rich results and better context matching.
Everything from Article, FAQ, and HowTo to Product, Event, JobPosting, SoftwareApplication and custom definitions when needed.
We prefer clean JSON-LD injected via templates or backend logic. Plugins can add unnecessary bloat, fail under load, or provide incomplete coverage of available schema types and properties.
Yes. We audit your current markup, clean up warnings/errors, and patch missing properties.
We either provide implementation rules for your devs or inject schema using GTM. All logic is documented and tested.
Yes, we handle multi-template, multilingual, and multi-domain rollouts with centralized schema logic.
We optimize it, adding missing types, resolving conflicts, and improving markup quality.
Yes. Structured data improves how your content is interpreted by AI systems like Google’s SGE and helps ensure it’s surfaced contextually.
Ready to boost your relevance?
We’ll identify missed opportunities, clean up your markup, and scale your structured data strategy.
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