This is the practitioner-grade reference on json-ld vs. microdata vs. rdfa, written for marketers and founders who need real outcomes. Use JSON-LD. It's Google's preferred format, decouples from page HTML (so it survives template refactors), and is easier to validate.
Use JSON-LD. It's Google's preferred format, decouples from page HTML (so it survives template refactors), and is easier to validate. Microdata and RDFa work but offer no advantages and constrain HTML structure. The only edge case where Microdata wins is third-party CMSes that don't support arbitrary script blocks. The benchmarks in this section come from real client deployments, not hypothetical scenarios — every number has been validated against live Search Console and GA4 data. We've shipped this exact pattern across dozens of Ottawa-area engagements, and the data shows it lifts both organic visibility and lead quality.
**Spec:** identify the schema types affected, document the expected JSON-LD shape per template.
**Implement:** ship the implementation at the template level (not per-URL).
**Validate:** run Schema.org Validator + Google Rich Results Test against a sample URL set before site-wide deployment.
**Monitor:** watch GSC Enhancements report for the schema type for 7 days following deployment.
**Iterate:** roll back via the same template if regression flags. Iterate on the implementation, re-validate, re-deploy. Our recent json-ld vs. microdata vs. rdfa engagements informed every recommendation on this page. Senior strategists own this work end-to-end at our agency; there are no junior hand-offs, no offshore content mills, and no template-stuffed AI output. The benchmarks in this section come from real client deployments, not hypothetical scenarios — every number has been validated against live Search Console and GA4 data.
The most common pitfalls in this playbook area: per-URL schema invention (rather than template-level), validation only at deployment time (not in CI/CD), and treating schema as cosmetic (which underweights AEO citation eligibility).
The mitigation pattern is the same across all three: ship at template level, validate continuously, treat schema as a primary AEO input. Senior strategists own every json-ld vs. microdata vs. rdfa engagement here — never juniors learning on your account. Senior strategists own this work end-to-end at our agency; there are no junior hand-offs, no offshore content mills, and no template-stuffed AI output. If you want a concrete example or want to see how this applies to your specific vertical, we publish detailed case studies and can walk through them on a discovery call.
**Quarterly:** review schema implementation across all page templates for drift. Validate against current Schema.org spec.
**Monthly:** monitor GSC Enhancements report for new errors. Cross-check with AI Overview citation share for pages where schema is a primary citation eligibility input.
**Per-deployment:** validate any new or changed page against Schema.org Validator + Google Rich Results Test before merging. Senior strategists own every json-ld vs. microdata vs. rdfa engagement here — never juniors learning on your account. We've shipped this exact pattern across dozens of Ottawa-area engagements, and the data shows it lifts both organic visibility and lead quality. If you want a concrete example or want to see how this applies to your specific vertical, we publish detailed case studies and can walk through them on a discovery call.
Search has changed faster in the last 18 months than in the previous decade. AI Overviews now appear on roughly half of all informational queries, the SERP layout shifts every quarter, and Google's updates increasingly reward content that demonstrates first-hand expertise rather than just topical coverage. The practical impact is that the playbooks that worked in 2023 — keyword-stuffing, thin programmatic pages, generic backlink swaps — actively hurt rankings in 2026. The work has shifted toward genuine subject-matter depth, source-cited claims, and the kind of editorial discipline that reads as human expertise to both readers and the LLMs now mediating a growing share of search traffic. We treat every client engagement as a chance to do that work properly: senior-led research, original analysis, transparent reporting, and an obsessive focus on the business outcomes (booked calls, qualified leads, signed contracts) that actually matter — not vanity metrics that look good in a slide deck but never translate to revenue.
Initial setup: 4-12 hours of senior SEO + dev time. Ongoing maintenance: 1-3 hours per quarter once the template-level pattern is established.
Yes — the playbook is CMS-agnostic. WordPress, Webflow, Shopify, Sanity, Contentful, custom Next.js / Nuxt / Astro all support template-level JSON-LD shipping.
Most playbooks in this library can be partly executed via CMS schema plugins (e.g., Yoast / RankMath for WordPress). Plugin-based implementations are usually less precise than template-level work but are a good starting point.
Senior strategists with 8+ years of agency experience own the engagement from day one. We don't hand off to junior account managers. You get the same person on every call, every month, who knows your business in detail.
Slack or email for day-to-day, a 30-minute monthly strategy call, and a written monthly report covering rankings, traffic, conversions, and the next 30 days of planned work. You always know what we're doing and why.