Check Structured Data and Understand Its Limits
Inspect detected structured data, validate syntax and prepare reviewed schema changes in LLMIC without promising rich results.
Structured data describes visible facts in a machine-readable form. Correct syntax is only the first check.
Build availability: This guide describes the September 2026 development workflow. Some controls may not yet be included in the public installer. Check the release notes and your app version before following the steps.
Evidence flow
- Detect markupRecord the schema type and document layer.
- Validate syntaxInspect parse errors and required properties.
- Review the factsCompare every claim with visible page content.
- Recheck deploymentValidate the live page after publication.
This visual explains the review sequence. It is not a performance forecast or a set of measured customer results.
Start with a clear question
Open the relevant LLMIC dashboard only after loading the crawl, property or saved observation needed for this review. For schema markup validator, record the website, date, filters and document layer before interpreting a result. This keeps the work reproducible when another team member reviews it later.
Read the evidence before the recommendation
Open the affected page or row and inspect the retained evidence. Counts help you find patterns, but the page-level source explains what was actually measured. When coverage is partial, a response failed, or a legacy crawl omitted the required field, keep that state visible. Do not turn unavailable evidence into a failed check.
Choose the smallest useful action
Write an instruction that names the exact URL, observed condition and intended result. Preserve intentional behavior and review shared patterns before applying a site-wide change. If a suggestion creates new wording, markup or redirects, a person should approve the facts and destination before publication.
Understand the limits
Valid schema does not guarantee a rich result, knowledge panel or AI citation. Eligibility also depends on search-engine policies and the visible page. Generated markup remains a draft until its facts are reviewed.
Quick reference
| Evidence or state | How to use it |
|---|---|
| Valid syntax | Continue with factual and eligibility review. |
| Parse error | Correct the exact malformed markup. |
| Missing property | Add it only when the fact is true and visible. |
| Generated draft | Require human review before publishing. |
Check the result
After the reviewed change is deployed, collect fresh evidence with a compatible configuration. A task marked complete records workflow progress; it does not prove the live page changed. Save the verification time and result, then use Verify SEO Fixes for supported checks or run a complete follow-up audit.
Continue your workflow
Return to the documentation home, learn how to interpret audit results, or organize reviewed work in the Action Queue and Fix Generator. Remove private information before sharing exports, and contact LLMIC support with a sanitized example when a result cannot be explained.
Frequently asked questions
Inspect detected structured data, validate syntax and prepare reviewed schema changes in LLMIC without promising rich results.
Load a completed crawl that includes the pages you need to inspect. Confirm the crawl scope, capture time, rendering choice, and any filters before interpreting the result.
Review the affected URL, measured field, source or rendered evidence, and the rule that raised the item. Inspect nearby pages and templates because one shared component can create the same pattern across many URLs.
Create a task with the affected URL, observed evidence, intended outcome, smallest safe change, owner, and verification method. Keep the measured finding separate from the proposed fix.
Publish the approved change, run a fresh compatible crawl, and compare the new evidence with the saved result. A resolved local finding confirms the implementation changed; search performance requires separate observation over time.
The check cannot guarantee rankings, indexing, traffic, conversions, inclusion in an AI answer, or a future search-engine action. Interpret it with site context, search performance, and editorial judgment.
Save or export the evidence, assign the approved action, and use the related guides linked on the page for the next check. After implementation, repeat the same workflow against a fresh crawl so the result is comparable.