JSON-LD vs Microdata schema comparison: when to use each, the key differences, and the common confusions.
JSON-LD is Google's preferred format, decouples from page HTML, and is easier to validate. Microdata works but constrains HTML structure and is harder to maintain across template refactors. Choose JSON-LD for new implementations. 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 why behind this is simple: Google's algorithms have shifted decisively toward signals that confirm real expertise, and surface-level optimization no longer moves the needle.
Use JSON-LD when the entity matches the schema definition specifically and the visible page content is dominated by JSON-LD-shaped content. Validate with Schema.org Validator before deployment to confirm scope alignment. 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.
Use Microdata when the entity matches the Microdata definition specifically. Don't ship both JSON-LD and Microdata schema on the same page unless both blocks are independently visible — that creates schema scope mismatch and risks downgrading rich-result eligibility for both. Our json-ld vs microdata schema program combines technical depth with conversion-focused design. 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. 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.
The most common mistake is shipping the wrong schema for the dominant content block — e.g., Microdata schema on a page where the visible content is JSON-LD-shaped. The validation gate catches this if you run Schema.org Validator + a manual check that the schema matches the visible DOM. Our json-ld vs microdata schema program combines technical depth with conversion-focused design. We've shipped this exact pattern across dozens of Ottawa-area engagements, and the data shows it lifts both organic visibility and lead quality. 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.
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.
The single most important factor in SEO success is who actually does the work. The industry standard for most agencies is junior account managers running templated playbooks, with senior strategists involved only at the sales and reporting stages. That model produces predictable, mediocre outcomes — the kind of slow grind that lets clients believe they're making progress while their competitors compound past them. Our model is different by design: every account is owned end-to-end by senior strategists, every deliverable is reviewed by a practitioner with 8+ years of hands-on experience, and every monthly report includes the original strategic analysis (not just data dashboards). That standard costs more to maintain than the templated alternative, but it's the standard the modern SERP demands — and it's the reason our clients see ranking lifts and revenue impact within the first 90 days rather than the typical 9-12 month industry timeline. If you've been disappointed by previous SEO engagements, the diagnosis is usually that the work was junior-led; the prescription is finding partners who staff every engagement with the senior expertise the work actually requires.
Only if both blocks are independently visible on the page. Schema scope must match visible content per Google's rules.
Depends on the query. Informational queries with question-shape favour FAQPage; procedural queries favour HowTo; commerce queries favour Product. Ship the schema matching the page's primary intent.
Default to whichever schema most cleanly describes the dominant visible block. Validate with Schema.org Validator. When in doubt, ship the simpler schema (Article) and add specificity later as you confirm the citation pattern.
Standard agreement is month-to-month after a 90-day initial commitment. The 90 days exists because the work simply doesn't show results faster than that. Anyone promising instant ranking jumps is reselling paid ads or running risky tactics that get sites penalized.
We'll do a free 30-minute audit of your current setup and tell you honestly whether switching makes sense. Sometimes the answer is 'stick with your current team and ask them to fix X' — we'd rather give you that answer than poach an account that doesn't need a change.