JSON-LD has an invalid context or unmapped terms
structured_data_jsonld_context_invalid · Issue
Review the original root and context shown in the finding. Correct the context type and map terms to the intended vocabulary; schema.org is one reviewed option.
Severity: Low. This reports an exact context or term-mapping problem, without claiming ranking loss or that every consumer ignores the block.
Why it matters
A context gives plain JSON-LD terms their vocabulary meaning. An invalid context type or unmapped concrete terms can prevent the intended data from being interpreted. A different vocabulary is not inherently invalid.
What to do
- Inspect the problem, original JSON-LD root/context, byte range and sampled plain terms.
- For schema.org data, use the reviewed https://schema.org context. Otherwise map terms to the intended vocabulary; arbitrary mappings are not fully interpreted by this check.
- Fix the template or data writer and run a subsequent full audit of the same page. Complete checked markup removal can reconcile disappearance.
When to leave it as it is: Keep a legitimate other vocabulary. Foreign inline or remote context forms are coverage unknown, not findings under this rule.
What we read
Original JSON-LD blocks and root/context values from the same complete current HTML 200 capture, including body blocks, using the existing selected inventory.
Missing, null or empty contexts with concrete nonempty unmapped plain terms; directly invalid number/boolean context types, including direct array members.
Exact offline reviewed schema.org context strings and understood effective arrays; sibling roots are checked independently and inherited graph contexts need no override.
Example & evidence
Illustrative context correction on the same page; no live result.
{"@type":"Product","name":"Mug"}{"@context":"https://schema.org","@type":"Product","name":"Mug"}Confirm & check again
Check for yourself: Read the complete served HTML and inspect the context in the data writer. Use a JSON-LD validator for forms beyond the reviewed subset.
Check again: Full audit — A subsequent full audit uses the shared evaluator and lifecycle for the same page. Incomplete or unverified inventory cannot prove correction.
Limits & sources
Arbitrary nonempty inline mappings, foreign/relative/variant remote contexts, resets, overrides, imports, scoped contexts, unverified modifiers and absent-context absolute/compact IRIs are not fully interpreted and remain not checked. No remote context is fetched.
Invalid/empty JSON and scalar roots do not prove removal; the syntax rule owns JSON parse errors. Proven data-free objects/arrays and complete readable markup removal are reconcilable.
A bad context may make typed expansion incomplete. Original definite findings remain; other unknown blocks or partial rendering prevent reconciliation.
Stored proof retains up to 25 roots, shows 10 and preserves the total; original excerpts and term text are clipped with clear indicators.
Confidence: High High confidence uses the original bound context/root values for the conservative definite subset. Unknown contexts are never implicitly clean.
Sources
- W3C, JSON-LD 1.1 contexts — Explains how contexts map terms to their intended vocabulary; other vocabularies are valid. Checked 4 October 2026.
- W3C, JSON-LD context processing — Defines context value types, ordering and modifiers; unsupported forms remain unverified here. Checked 4 October 2026.
- Google, Introduction to structured data — Describes structured data for Google; does not require every JSON-LD consumer to use schema.org. Checked 4 October 2026.
Editorial review: 2 November 2026