What does a schema markup consultant actually do?

Plans, writes, and validates the structured data (JSON-LD) that tells Google and AI systems what your content means — so you earn rich results, clearer entity recognition, and citations in AI answers. In practice that's custom JSON-LD, site-wide schema templates, and fixing markup that's silently broken.

Is schema markup worth it for SEO?

It rarely moves rankings by itself, but it changes how you appear and how machines understand you — rich results, better click-through, and a real edge in AI Overviews, where well-defined entities get pulled into answers. For most sites it's one of the highest-leverage technical fixes left.

What is the difference between JSON-LD and microdata?

Both express schema.org data, but JSON-LD lives in a single script block separate from your HTML, so it's far easier to maintain, scale, and debug. It's Google's recommended format, and it's what I use unless a platform forces otherwise.

Can schema markup help me show up in AI Overviews and ChatGPT?

It's one of the strongest levers you have. Structured data is how AI systems read your business's facts, entities, and relationships with confidence, which makes your site easier to quote accurately. It's not a guarantee, but it stacks the odds.

Do you just audit schema, or implement it too?

Both. I'll audit what you have and hand you a prioritized fix list, or implement the whole thing — custom JSON-LD, @graph entity linking, and site-wide templates — and validate it end to end.

Schema Markup Consultant — Advanced JSON-LD & Structured Data

What a schema consultant does

The short version.

A schema markup consultant plans, writes, and validates the structured data that defines your business to machines — your services, people, reviews, FAQs, and how they all connect. Done well, it's one of the highest-leverage technical fixes left on most sites: it doesn't just describe your content, it makes search engines and AI models confident about it. That confidence is what turns into rich results and gets you quoted in AI Overviews.

01 — Custom JSON-LD

Hand-written, not plugin-guessed.

Plugins ship generic markup that rarely matches how your business actually works. I write JSON-LD to your specific content — Organization, Person, Service, Product, LocalBusiness, FAQ — and wire it into a single nested @graph so the entities reference each other instead of floating loose.

Talk through your site →

Content-specific schema typesMarked up to what's actually on the page — never fabricated data.
Nested @graph architectureOne clean block; entities linked by @id instead of duplicated.
Entity linking to knowledge basessameAs ties you to Wikipedia, Wikidata, and the Google Knowledge Graph for E-E-A-T.

02 — Schema at scale

Thousands of pages, one template.

Marking up ten pages by hand is easy. Marking up ten thousand is an architecture problem. I build templated structured data through your CMS or tag manager so every page — products, locations, articles — emits correct, dynamic schema without anyone touching code again.

CMS & tag-manager templatesSchema populated from your real data, page by page, automatically.
Programmatic location & product markupBuilt to scale across large catalogs and multi-location sites.
Maintainable by your teamYou get a system, not a one-off you can't update.

03 — Audits & validation

Find what's silently broken.

Most sites running schema have errors they can't see — invalid types, missing required fields, markup that contradicts the page. I audit what you have against Google's guidelines, hand you a prioritized fix list, and validate everything end to end so it actually earns the rich results it's eligible for.

See the full website audit →

Validation against Google guidelinesRich Results Test and Search Console errors cleared, not just flagged.
Conflict & compliance checkNo marking up data that isn't visible — the fast track to a manual action.
Impact-ranked fix roadmapHighest-leverage corrections first, in plain English.

04 — Schema for AI search

Get read — and quoted — by AI.

AI Overviews, ChatGPT, and Perplexity lean on structured data to understand who you are and what you do. Clean, entity-linked schema is how you make your facts easy to pull accurately into an AI answer. It's the implementation layer underneath the broader work of answer engine optimization — it's not a guarantee of being cited, but it stacks the odds, and almost nobody is doing it properly yet.

Make your site AI-legible →

Entity-first structured dataDefines your business as a thing AI models can reason about.
Answer-ready content modelingFAQ, HowTo, and definition schema that maps to how people prompt.
Knowledge-graph alignmentConsistent signals across your site and the profiles that describe you.

Questions, answered

Schema markup, in plain English.

What does a schema markup consultant actually do?Plans, writes, and validates the structured data (JSON-LD) that tells Google and AI systems what your content means — so you earn rich results, clearer entity recognition, and citations in AI answers. In practice that's custom JSON-LD, site-wide schema templates, and fixing markup that's silently broken.
Is schema markup worth it for SEO?It rarely moves rankings by itself, but it changes how you appear and how machines understand you — rich results, better click-through, and a real edge in AI Overviews, where well-defined entities get pulled into answers. For most sites it's one of the highest-leverage technical fixes left.
What is the difference between JSON-LD and microdata?Both express schema.org data, but JSON-LD lives in a single script block separate from your HTML, so it's far easier to maintain, scale, and debug. It's Google's recommended format, and it's what I use unless a platform forces otherwise.
Can schema markup help me show up in AI Overviews and ChatGPT?It's one of the strongest levers you have. Structured data is how AI systems read your business's facts, entities, and relationships with confidence, which makes your site easier to quote accurately. It's not a guarantee, but it stacks the odds.
Do you just audit schema, or implement it too?Both. I'll audit what you have and hand you a prioritized fix list, or implement the whole thing — custom JSON-LD, @graph entity linking, and site-wide templates — and validate it end to end.

Think your structured data could be working harder? Let's look.

Send a couple of sentences about your site and what you're trying to win — rich results, AI visibility, or just markup that isn't broken. I read every request myself.

Request a consultation → See all ways to work together