The problem: markup without a coherent entity model
A website can contain many schema blocks while still describing the same organization inconsistently or leaving references unresolved. SchemaGraph addresses the inspection of entities, relationships, and structured data across pages. The relevant question is whether the graph describes the business and page content coherently, not simply whether a page contains a JSON-LD script.
- ✓ Inspect repeated identities and the references between them.
- ✓ Distinguish observed markup from inferred additions.
The workflow: inspect, review, and prepare corrections
A useful audit connects a finding with an affected page, supporting evidence, and a proposed correction. Generated graph changes need review against business facts, supported schema types, and the site’s governance choices. Suggestions should not invent credentials, offers, reviews, or organizations. Deployment remains a separate step with validation and a way to restore the prior markup.
- ✓ Check rendered output and schema-to-content consistency.
- ✓ Keep inferred recommendations visible to the reviewer.
The evidence boundary: product capability versus business outcome
The current product experience and offer page are the appropriate sources for availability and entitlement details. This case record does not publish subscriber counts, revenue, ranking improvements, or citation guarantees. SearchGraph and CopyGraph address complementary evidence and content concerns, but the family relationship should not imply unsupported automatic data exchange.
- ✓ Verify current screenshots and demonstrated capabilities before publication.
- ✓ Document supported import or export connections explicitly.