JSON-LD Schema Markup for Rich Results
Writes, audits, and debugs JSON-LD so pages qualify for Google rich results, with Search Console errors traced to their cause and fixed.
Before & after
Same prompt, same agent — the only difference is the skill.
Schema markup is structured data that tells Google what your content is about, and it can help your content appear in rich snippets and featured snippets. For FAQs, you'd use schema.org markup that identifies questions and answers. It's mostly JSON-LD format embedded in your HTML. The challenge is making sure the markup is actually correct—Google is picky about formatting and structure. Have you already created the FAQ content, or are we starting from scratch? Also, which tool are you using to manage your website?
FAQ SCHEMA IMPLEMENTATION
GOAL
Rank 15 help articles for featured snippets (currently ranking 0)
STEP 1: MARKUP SETUP (JSON-LD)
Add to <head> of each help article page:
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [
{
"@type": "Question",
"name": "How do I set up automated customer check-ins?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Configure your agent in Settings > Automation. Define check-in frequency (daily, weekly) and target customer segments. Agent activates immediately."
}
},
{
"@type": "Question",
"name": "Can the agent handle objections?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Yes. The agent is trained on your responses to common objections. It recognizes patterns and escalates complex objections to a human CSM."
}
}
]
}
STEP 2: CONTENT STRUCTURE
Each answer must be:
• 40-60 words (optimal for featured snippets)
• Clear, direct language (no jargon)
• Answer the question in the first sentence
• No links or HTML in the answer text (plain text only)
STEP 3: VALIDATION
Run each page through Google's Rich Results Test
• Paste URL
• Check for errors (schema format issues)
• Verify FAQPage markup detected
• Common errors: missing text, invalid schema type
TEST RESULTS (from first 3 articles):
✓ Article 1 (setup): Schema valid, preview shows on Google
✗ Article 2 (objections): Schema valid but answer too long (98 words → trim to 50)
✓ Article 3 (billing): Schema valid, answer clear and actionable
STEP 4: SEARCH CONSOLE AUDIT
1. Submit sitemap (confirms Google knows about your help pages)
2. Monitor Search Console for "rich results"
3. Within 2-4 weeks, look for "FAQ" in results type
4. Track impressions (how often content appears in snippets)
5. Click-through rate (what percentage of impressions become clicks)
STEP 5: RANKING OPTIMIZATION
These articles need both markup AND traditional SEO:
• Page title includes target keyword ("How to Automate Customer Check-ins with AI")
• Meta description under 160 chars
• Headings use target keyword naturally
• Internal links from related articles
• Mobile-responsive (mobile-first indexing)
STEP 6: MONITORING
Three months post-launch, measure:
Featured snippet impressions in Search Console (target: 50-100/month)
Click-through rate from snippets (typically 5-8%)
Ranking position improvement (most should move to page 1 within 90 days)
SETUP GOTCHAS
Gotcha 1: If answer is HTML or contains links, schema breaks
→ Keep text plain, move links elsewhere
Gotcha 2: If Q&A pairs aren't chronological or relevant, Google ignores markup
→ Structure by user journey (setup → common issues → advanced)
Gotcha 3: Schema markup alone doesn't guarantee rankings
→ You still need good SEO (keywords, backlinks, user experience)
INSTALLATION METHOD
If using static HTML: manually add JSON-LD to each page's <head>
If using CMS (WordPress): install Yoast SEO plugin, configure FAQ blocks per post
If using Next.js: use next-seo library with faqSchema componentAbout this skill
You added schema, the validator says it's fine, and still no stars, prices, or event dates show up in search. Or Search Console is full of "Missing field" and "Invalid value" errors that nobody can explain. This skill writes and audits JSON-LD against the rules Google actually uses to decide eligibility, not just schema.org syntax. It also tells you plainly when the rich result you want is restricted or has been retired.
What it does
- Works out why a rich result isn't showing by checking, in order: whether the feature is still offered, whether Google detects the markup at all, rendering, errors vs warnings, whether the markup matches what's on the page, and whether the page has been recrawled
- Fixes the formatting mistakes that fail without obvious warning: currency symbols in prices, plain-text availability, durations that aren't ISO 8601, dates without time zones
- Separates Google-required fields from recommended ones for Product, Recipe, Article, Event, JobPosting, VideoObject, LocalBusiness, and BreadcrumbList
- Finds policy risks before they become manual actions: self-serving reviews, ratings that aren't visible on the page, markup that doesn't match the content
- Replaces duplicate theme and plugin blocks with one linked @graph that uses stable @id values
- Plans site-wide rollouts template by template, with a validation step after each one
What you get
Ready-to-paste JSON-LD blocks, or a ranked findings table with corrected markup, plus the exact validator and Search Console checks to confirm the fix.
Best for
SEOs, e-commerce and content site owners, and developers working with Shopify, WordPress, or JS frameworks who are dealing with Search Console structured data errors or missing rich results.
SKILL.md preview
---
name: json-ld-schema-rich-results
description: Writes, audits, and debugs JSON-LD structured data against Google's current rich-result eligibility rules, not just schema.org syntax. It finds the real cause of missing rich results and links entities into one site-wide @graph. Use when the user says "add schema to my product pages", "why aren't my rich snippets showing", "Search Console says missing field", "write JSON-LD for my recipe/event/job post", "audit our structured data", "my FAQ rich results disappeared", "my review stars are gone", or "does schema help with AI search".
---
# JSON-LD Schema Markup for Rich Results
… (sign up to view the full skill)Featured in
More creator skills
View all Creator skills →Page Schema Audit and JSON-LD Implementation
Get page-matched JSON-LD, stable entity IDs, fixes for conflicting markup, and a clear implementation and validation plan.
Backlink and Guest Post Outreach Emails
Writes link-building and guest-post outreach emails built on one checkable reader benefit, with a follow-up and a link-policy check.
Pinterest Pin Copy for Search and Clicks
Pinterest pin titles, descriptions, overlay text, alt text, and boards, written in searcher language with 3-5 distinct angles per URL.
Citation-Ready Content for AI Search
Get publishable articles and pages with direct answers, traceable evidence, and passages AI search tools can quote.