7 Schema Errors Hurting Crypto Site Rankings | Crawlux

7 Schema Errors That Hurt Crypto Site Rankings

The seven schema validation errors we see most often across crypto audits. Each one suppresses rich-result eligibility, AI citation rate or both. The list is ordered by severity; fix from the top down and the cumulative lift is significant.

Table of contents

  1. Error 1: Wrong type on token pages
  2. Error 2: Missing required properties
  3. Error 3: Invalid date formats
  4. Error 4: Stale exchange rate data
  5. Error 5: Mismatched ticker symbols
  6. Error 6: Self-aggregated review data
  7. Error 7: Schema in body instead of head

Error 1: Generic Product schema on token pages

The single most common schema error on crypto sites. Token landing pages emit Product schema (the framework default) instead of FinancialProduct. To Google and AI extraction models, these two types signal completely different things.

Detection. View the JSON-LD on any token landing page. If the @type is "Product" or "Offer" without "FinancialProduct" anywhere, this error is present.

Fix. Migrate to FinancialProduct as documented in the complete schema reference.

Error 2: Schema missing required properties

Every schema type has required properties. Skip them and the schema fails Google's Rich Results Test, which means no rich-snippet eligibility regardless of how clean the rest of the markup is.

Detection. Run every page-type template through the Google Rich Results Test. Required-property failures show up as warnings, not errors.

Fix. Reference Schema.org documentation for each type and confirm every required property is present.

Error 3: Invalid date formats in schema

Dates in schema must be ISO 8601: YYYY-MM-DD or YYYY-MM-DDTHH:MM:SSZ. Other formats fail validation silently and break datePublished, dateModified, foundingDate and other date fields.

Detection. Schema.org validator catches malformed dates.

Fix. Format all dates as ISO 8601 in the schema layer regardless of how they display in the HTML.

Error 4: Stale exchange rate or price data in schema

Token pages that ship price data in schema but do not update it server-side end up with prices days or weeks out of date.

Detection. Compare the schema price to the visible page price. If they diverge by more than a few percent, this error is present.

Fix. Either update schema server-side on every deploy with current price data, or omit price from schema entirely.

Error 5: Mismatched ticker symbols across the site

Token sites that use different ticker representations across pages confuse extraction.

Detection. Audit every page that mentions the token. The schema alternateName should be identical across all pages.

Fix. Standardize on one representation per token and propagate the change through every page-type template.

Error 6: Self-aggregated reviews and ratings

AggregateRating with reviewCount and ratingValue pulled from internal data is against Google's review guidelines and gets caught in manual review.

Detection. AggregateRating present without an external review source is the pattern.

Fix. Either pull rating data from a real external source and link to it, or remove AggregateRating entirely.

Error 7: Schema placed in body instead of head

JSON-LD schema can technically live anywhere in the document. But several AI crawlers process the head section first.

Detection. View the raw HTML. The JSON-LD script tag should appear in the head section.

Fix. Move all JSON-LD into the head. Server-render the schema.

Cumulative impact

Each of these errors independently suppresses citation rate by 5 to 15 percentage points. Fix the schema layer first; everything else compounds on top.

Frequently asked

  1. Which error is most important to fix first?

Error 1 (wrong type on token pages).

  1. Can I detect these errors automatically?

Most of them, yes. The Crawlux Token Schema Tester catches errors 1, 2, 3, 4 and 7.

  1. Will fixing these immediately move rankings?

Schema fixes propagate within 2 to 4 weeks for Google rich-result eligibility.

  1. Should I use a schema generator tool?

Generic schema generators do not support FinancialProduct or CryptoExchange well.

  1. How do I prevent these errors from coming back?

Add a schema validation step to your CI pipeline.