Schema Markup Is Broken on Most Websites.
We Fix It.

A schema markup service audits your website for structured data errors, builds correctly implemented JSON-LD schema markup for every page type on your site, and deploys that markup on your platform. The goal is to ensure your website has clean, validated, Google-compliant structured data that makes it eligible for rich results in Google Search, more visible to AI search platforms like ChatGPT and Perplexity, and correctly understood by voice assistants. It covers everything from diagnosing validation errors and plugin conflicts to building schema from scratch and implementing it directly on WordPress, Shopify, Wix, Webflow, Squarespace, or any other platform.

Yes, and this is one of the most common situations we address. Passing the Rich Results Test is a necessary condition for rich results — but not a sufficient one. Google also evaluates whether your page meets its content quality requirements for that specific rich result type, whether your overall site has sufficient authority for the enhanced display, whether the schema declarations match what is actually on the page, and whether the page has been processed by Google's structured data systems recently enough. We diagnose which of these factors is preventing your rich results from appearing and resolve them specifically. A clean validation report does not mean there are no problems — it means there are no syntax problems. The eligibility issues are different.

Rich results disappear for several reasons. Google periodically updates its structured data policies and removes support for certain schema types or restricts eligibility criteria — the most notable recent example being the September 2023 restriction on FAQ rich results to authoritative government and health websites. Schema.org updates may deprecate properties you are using, causing formerly valid schema to produce warnings. Content changes on your page may have created mismatches with your schema declarations. Plugin updates may have overwritten your schema implementation. Or Google may have detected policy violations — such as rating data declared in schema that is not displayed on the page. We diagnose which of these applies and implement the appropriate fix.

Almost certainly, yes. WordPress environments with multiple SEO or page builder plugins active are the most common source of schema conflicts we encounter. Rank Math and Yoast both generate Organization schema. WooCommerce generates Product schema. Elementor and Divi may add their own structured data. When these outputs conflict — declaring different business names, different addresses, different rating values, or different entity relationships on the same page — Google frequently ignores all of the conflicting data rather than attempting to reconcile it. The correct resolution is to identify which plugin produces the most reliable output for each schema type, disable redundant declarations, and add any missing schema through controlled custom code injection.

Yes, significantly. WordPress offers the most flexibility — schema can be added through plugins, theme files, or custom code injection, and can be scoped precisely to specific post types or individual pages. Shopify requires editing Liquid template files to inject schema, and product schema needs to be dynamically populated from Shopify product objects to stay current as inventory changes. Wix and Squarespace have more constrained custom code environments that make per-page dynamic schema more complex. Webflow CMS often produces relative URLs in dynamically generated content that need to be corrected to absolute URLs for Google compliance. We work directly on each platform using the appropriate implementation method for that environment.

Yes, and this is increasingly one of the most important reasons to implement structured data correctly. AI search platforms use schema markup to understand what your business is, what it offers, and how trustworthy it is as a data source. Specifically, the Organization schema sameAs links connecting your brand to Wikipedia, LinkedIn, Wikidata, and Crunchbase are how AI systems build confidence that your website represents a legitimate, established entity. Product schema with complete Offer and feature data is what AI shopping assistants use to recommend and compare products. LocalBusiness schema with full amenity and service declarations is what AI travel and service recommendation systems draw on. Without these, AI platforms have to guess your entity from unstructured page content — and frequently get it wrong, omit you from recommendations, or cite you inaccurately.

Schema implementation results happen on two timelines. Validation confirmation is immediate — within hours of implementation, you can confirm the schema is valid using Google's Rich Results Test on the live page URL. Rich result appearance in Google Search typically takes days to several weeks, depending on your site's crawl frequency and Google's processing queue. For sites that Google crawls frequently — high-traffic sites, sites with frequent content updates — schema changes are often processed within a few days. For smaller sites with less frequent crawling, using the URL Inspection tool in Google Search Console to request indexing of updated pages after implementation accelerates the process. AI search platform visibility improvements are harder to measure directly but typically become observable over the weeks following implementation as AI platforms re-crawl and re-index updated pages.

In Google's Rich Results Test and the Schema Markup Validator, errors are critical issues that prevent the schema from being valid — missing required properties, incorrect data types, broken JSON syntax, invalid values that the specification does not accept. These must be fixed for the schema to function. Warnings are issues with recommended properties — fields that Google suggests but does not require for rich result eligibility. Warnings do not block rich results but do indicate that your schema is less complete than it could be for AI search visibility and Knowledge Panel generation. Our fix service addresses both errors and warnings, producing schema that is fully compliant rather than minimally functional.

Yes. We work on websites built by any developer, agency, or platform — not only sites we built ourselves. We need either access to the CMS admin panel (for platforms like WordPress, Shopify, or Wix) or access to the codebase via your hosting or version control system (for custom platforms). We do not need access to your hosting account credentials — admin panel access to the CMS is sufficient for most platform implementations. For custom platform work, we typically work through a staging environment and document changes for your development team to review and deploy.

Both. The initial implementation is a defined project with a clear deliverable. Ongoing maintenance is a separate, lighter engagement for sites where content changes frequently affect schema data. Prices change and schema-declared prices should match. Review counts update and schema-declared rating counts should stay current. Business hours change seasonally. Staff members and founders change. New products are added and old ones discontinued. Google updates its structured data specifications periodically. Schema.org releases new versions. For sites with stable content — small business websites, professional portfolios, informational sites — the initial implementation remains current for months or years with minimal review. For e-commerce sites, news publishers, hospitality businesses, and sites with frequently changing inventory or pricing, dynamic schema generation and periodic audits are necessary to keep the implementation accurate.