The E-E-A-T Audit is the audit you reach for when you already suspect a problem in this dimension and need a fast, copy-paste-able fix list. It reuses the same chrome as every other jwatte.com tool — deep-links from the mega analyzers, AI-prompt export, CSV/PDF/HTML download — but the checks it runs are narrow and specific.
Scores a single URL on the 18 E-E-A-T signals Google
Why this dimension matters
Structured data is how Google, Bing, and LLM crawlers disambiguate your page. A missing @type or broken sameAs URL can drop a page out of Rich Results eligibility entirely; a subtle datePublished timezone error can cause AI engines to cite the wrong date and — over time — stop citing you for current-event queries.
Common failure patterns
sameAspointing to abandoned social profiles — the entity graph requires sameAs URLs to resolve and identify the same entity. Stale Twitter/X accounts, defunct Facebook pages, broken LinkedIn URLs all dilute the signal. Prefer Wikidata + ORCID + verified merchant profiles.- Nested schema that never serializes — Google's Rich Results Test accepts invalid nesting that is later rejected by the crawl-indexing stage. Always validate against both Rich Results Test AND the Schema Markup Validator; they catch different issues.
- Mismatch between visible content and schema — FAQPage schema with 8 Questions while the visible HTML only shows 3 is a Structured Data Spam Policy violation. The audit flags when visible-to-schema ratios diverge by more than ~20%.
- Missing
Organizationat the site root — the site-wide Organization schema is the anchor for Knowledge Panel eligibility. It needsname,url,logo,sameAs(to socials + Wikidata), and — for businesses —address+contactPoint.
How to fix it at the source
Centralize schema in your template layer (Nunjucks include, Next.js <Head>, etc.) so every page inherits the site-wide Organization and Breadcrumb; per-page types (Article, Product, FAQPage) extend from there. Run the Schema Markup Validator + Rich Results Test on every new page type before deploying; both catch different failure modes.
When to run the audit
- After a major site change — redesign, CMS migration, DNS change, hosting platform swap.
- Quarterly as part of routine technical hygiene; the checks are cheap to run repeatedly.
- Before an investor / client review, a PCI scan, a SOC 2 audit, or an accessibility-compliance review.
- When a downstream metric drops (rankings, conversion, AI citations) and you need to rule out this dimension as the cause.
Reading the output
Every finding is severity-classified. The playbook is the same across tools:
- Critical / red: same-week fixes. These block the primary signal and cascade into downstream dimensions.
- Warning / amber: same-month fixes. Drag the score, usually don't block.
- Info / blue: context-only. Often what a PR reviewer would flag but that doesn't block merge.
- Pass / green: confirmation — keep the control in place.
Every audit also emits an "AI fix prompt" — paste into ChatGPT / Claude / Gemini for exact copy-paste code patches tied to your stack.
Related tools
- Mega Analyzer — One URL, every SEO/schema/E-E-A-T/voice/mobile/perf audit in one pass..
- Schema Completeness — Generate complete Schema.org JSON-LD graph per page type with linked @id..
- Rich Results Eligibility Audit — Per-type required + recommended field check across FAQ, Article, Product, Recipe, HowTo, Review, Event, JobPosting, Course, LocalBusiness..
- Knowledge Graph + Wikidata Entity Audit — Checks a domain for Knowledge-Graph triggers.
Fact-check notes and sources
- Schema.org: Full type hierarchy
- Google: Structured data general guidelines
- Google Rich Results Test: https://search.google.com/test/rich-results
- Schema Markup Validator: https://validator.schema.org/
This post is informational and not a substitute for professional consulting. Mentions of third-party platforms in the tool itself are nominative fair use. No affiliation is implied.
