Quick Answer: Formative Digital's schema markup service builds your site a connected JSON-LD @graph (Article, LocalBusiness, FAQPage, Service, Person, Organization, BreadcrumbList) that ChatGPT, Gemini, and Google AI Overviews read with high confidence. This is Vector 6 (Structure) of our 12-Vector methodology. Brantford-built, Ontario-served, 12-month Results Guarantee, no lock-in.
Matt Griffin, Formative Digital: "Schema markup is how you stop making a machine guess. A page of prose forces an engine to infer your address, your services, who wrote it. A clean JSON-LD graph states those facts in a vocabulary the machine already speaks. It is not a ranking trick. It is the difference between handing over a labelled spec sheet and asking the reader to reverse-engineer one."
What you get with FD's schema markup service
This is the Structure Vector (number 6 of the 12). The deliverable is a complete, validated, connected structured-data graph, not a scatter of tags. Three parts:
- A schema audit of what you have now. Most sites are not at zero. They have a plugin emitting a partial Organization block, or legacy markup that no longer matches the page. We pull your current output, run it through Google's Rich Results Test and the schema.org validator, and give you a written list of what is present, what is incomplete, what is invalid, and what is missing entirely.
- A connected JSON-LD @graph, hand-built per template. We write Organization and LocalBusiness for your entity, Person for the named owner or author, Service plus Offer for what you sell, Article on content pages, FAQPage on question blocks, and BreadcrumbList for navigation. Every node is joined by
@idso an engine resolves one entity instead of seven loose fragments. This is the part plugins do not do. - Validation and entity matching. Every type is tested against the schema.org specification and Google's Rich Results Test before it ships, and every schema claim is matched to visible on-page content so it stays inside Google's structured-data policies. Where your business is eligible, we tie the graph to your Wikidata and Google Knowledge Graph identity so the entity is confirmed across the sources AI engines trust.
Schema rarely travels alone. It is the scaffolding that makes the rest of the work legible, which is why it sits inside the full engagement next to entity optimization and the flagship generative engine optimization service rather than being sold as an isolated fix.
Who this service is for
Best fit
- Established Ontario businesses with a real entity to describe: a physical location, named people, defined services, genuine reviews. Schema works best when the facts it labels are true and verifiable.
- Owners whose site renders fine for humans but reads as a blank to machines, with no structured data, or with a plugin emitting an incomplete graph.
- Businesses that want to be cited by AI engines and have been told "just add schema" without anyone explaining which types, how they connect, or how to keep them valid.
- Service firms, trades, retail, clinics, and professional practices where a precise LocalBusiness, Service, and Person graph maps cleanly onto how buyers actually search.
Not the right fit if
- You want schema to manufacture a result on its own. It raises confidence in facts that are already there; it cannot conjure authority, content, or reviews you do not have. If those are missing, schema is the wrong first dollar.
- You want us to mark up content that is not visible on the page, or fabricate review and rating data to win stars. That violates Google's structured-data policies and risks a manual action. We will not do it, and we will explain why on the call.
- You are looking for a one-time tag dump and no follow-through. Schema has to stay matched to a site that changes. We build it to be maintained, not bolted on and forgotten.
How this differs from a plugin or a typical agency add-on
Most schema work in the market is one of two things: a plugin running on defaults, or a junior task buried in an SEO retainer. The plugin emits a generic WebPage and a thin Organization block and calls it done. The agency add-on ships a FAQ snippet to chase rich results and never builds the entity graph underneath. Both leave the same gap, an engine still cannot resolve who you are with confidence, because the nodes were never connected.
Formative Digital treats Structure as one named Vector inside a transparent system, and three things follow from that:
What changes when schema is Vector 6
- The 12 Vectors methodology means schema is not a mystery line on an invoice. It is a defined Vector with a stated deliverable: the connected graph, validated and entity-matched. You can ask exactly what was built and verify it in the Rich Results Test yourself.
- The Formative Forces orchestrated agent system lets us generate and validate schema across an entire site, page template by page template, at a volume manual tagging cannot reach. Schema that covers ten pages and misses ninety is not a graph; coverage is the point, and orchestration is how we get it.
- The Results Guarantee keeps the work honest. If your existing domain shows no measurable organic search results after 12 months, we work for free until you see them. Schema done as a checkbox cannot stand behind a promise like that. Schema done as engineering can.
Proof: structure as part of a full engagement
Mattress Miracle, Brantford ON
- Monthly organic visits: approximately 1,000 to 82,400 (SEMrush snapshot, April 2026).
- Ranked keywords: up roughly 67% to about 59,900.
- Newly ranked keywords in one 30-day window: approximately 25,000, against an industry benchmark near 100 per client per month.
Brad, Owner, Mattress Miracle, Brantford, ON: "In 40 years of advertising I've never seen anything like this. It's a completely new business."
A clean structured-data graph was one input among many here, working alongside content, citation, and entity work. Schema does not deserve sole credit and we will not claim it does. Results depend on your industry, competition, and existing digital presence, and these numbers are one client's outcome, not a forecast for yours. Full context is at the Mattress Miracle case study.
Pricing
Schema is Vector 6 inside every engagement, so it is built into the tiers rather than sold as a separate product. Full pricing is at /pricing/, month-to-month, no lock-in, written cancellation clause.
Tier overview (full breakdown at /pricing/)
- Starter: for businesses beginning their AI visibility work. Core entity graph (Organization, LocalBusiness, Person) plus foundational Article and FAQPage markup.
- Growth: for scaling businesses. Full connected graph across templates, Service and Offer modelling, entity matching, ongoing validation as the site changes.
- Dominance: for market leaders. Site-wide structured data at production scale, Wikidata and Knowledge Graph reinforcement, and the wider GEO stack the schema feeds.
The Results Guarantee applies on all three tiers for existing domains. No lock-in on any tier. See full pricing.
Want to see what your current schema actually emits?
The free AI Visibility Audit includes a read of your existing structured data: which types are present, which are incomplete, which are invalid, and where the entity graph breaks. No cost. No obligation. The Results Guarantee starts the day you sign if you decide to proceed.
How we build it (engineering view)
The honest version of "what does schema work involve." We do not just "add markup." Here is what the Structure Vector produces, in order.
- Graph design. We map your real entity to schema.org types: Organization and LocalBusiness for the business, Person for owner or author, Service and Offer for offerings, Article for content, FAQPage for questions, BreadcrumbList for structure. The map is built before a line of JSON-LD is written.
- @id linking. Every node carries a stable
@idand references the others, so Organization, LocalBusiness, and Person resolve to one entity. This is the step that separates a graph from a pile of disconnected tags, and the step plugins almost always skip. - Visible-content parity. Every schema claim is matched to text a human can see on the page. Google's policy is explicit that you must not mark up invisible content, so FAQPage answers, review data, and service descriptions in the markup also exist on screen.
- Entity reinforcement. Where eligible,
sameAslinks the graph to your Wikidata Q-ID, Google Business Profile, and verified social entities, confirming your identity across the corpus AI engines lean on. This is where Structure (Vector 6) hands off to Anchor (Vector 2). - Validation gate. Nothing ships until it passes Google's Rich Results Test and the schema.org validator clean. We test, fix, and retest before deploy, then recheck after, because schema that errors out is schema an engine ignores.
FD sites are static by design: no template-injected plugin cruft, no database to corrupt the markup, structured data written deliberately and served as written. Truth, not tricks. A spec sheet, not a guessing game.
How to get started
One step: book the free AI Visibility Audit. It includes a structured-data read alongside your AI citation baseline. We deliver the written findings inside seven business days, and you decide from there. No sales-pressure follow-up. No dark-pattern email sequences. If your schema is already in good shape, we tell you that.
Matt Griffin, Formative Digital: "We will tell you if your existing markup is fine. Sometimes a plugin gets the basics right and the real gap is somewhere else entirely. Selling you schema you do not need would make the whole engagement dishonest, and the Results Guarantee will not let me do that."
Results depend on industry, competition, and existing digital presence. Past performance for our clients does not guarantee identical outcomes. Schema raises the confidence engines place in your facts; it works as one layer alongside authority, content, and entity validation, not as a standalone guarantee of citation.
Frequently Asked Questions
What is schema markup and why does it matter for AI search?
Schema markup is structured data written in JSON-LD that labels the facts on your page in a vocabulary machines understand: your business name, address, services, author, reviews, and the relationships between them. It matters for AI search because it replaces guessing with stated fact. When ChatGPT, Gemini, or Google AI Overviews read a page with a complete schema graph, they extract your details with higher confidence than from prose alone. Reporting in Search Engine Land notes that roughly 71% of pages cited by ChatGPT carry structured data, a figure that tracks with what we see in the field.
Does schema markup guarantee I get cited by ChatGPT or Google AI Overviews?
No, and anyone promising that is misreading the evidence. Google states plainly that correct structured data does not guarantee a rich result, and the same caution applies to AI citations. Schema raises the confidence an engine has in your facts; it is necessary scaffolding, not a switch. It works alongside authority, content depth, and entity validation. We build it because the pages that do get cited overwhelmingly have it, not because it forces an outcome.
What schema types do you actually implement?
We build a connected @graph rather than scattered tags. For a typical Ontario business that means Organization and LocalBusiness for the entity, Person for the named author or owner, Service and Offer for what you sell, Article for content pages, FAQPage for question blocks, and BreadcrumbList for site structure. Each node is linked by @id so engines read one coherent entity, not seven disconnected snippets. We validate every type against the schema.org spec and Google's Rich Results Test.
Can incorrect schema markup hurt my site?
Yes. Marking up content that is not visible on the page, faking reviews, or describing something the page does not contain violates Google's structured data policies and can trigger a manual action. Invalid or mismatched markup also gets ignored, which wastes the investment. This is exactly why schema is an engineering task, not a plugin you switch on. We match every schema claim to visible on-page content and test it before it ships.
How much does the schema markup service cost?
Schema is Vector 6 inside every Formative Digital engagement, so it is built into the Starter, Growth, and Dominance tiers rather than billed as a standalone line item. See /pricing/ for the full breakdown. Most small Ontario businesses fit Starter or Growth. The Results Guarantee applies to all tiers on existing domains: no measurable results after 12 months and we work free until you see them. No lock-in contracts. Month-to-month with written cancellation.
I already have a Yoast or RankMath schema plugin. Why would I need this?
Plugin defaults are a starting point, not a finished graph. They typically emit a generic WebPage and Organization block, often leave LocalBusiness, Service, and Person incomplete, and rarely connect nodes by @id so engines can resolve one entity. We audit what your plugin already outputs, keep what is correct, and rebuild the graph so the entity is complete, internally linked, and matched to your Wikidata identity where eligible. The goal is a graph an AI engine reads as a single confident answer, not a pile of fragments.
Sources
- Google Search Central. (2025). General Structured Data Guidelines. developers.google.com
- Google Search Central. (2025). Intro to How Structured Data Markup Works. developers.google.com
- Search Engine Land. (2025). How schema markup fits into AI search, without the hype. searchengineland.com
- Aggarwal, P., Murahari, V., Rajpurohit, T., Kalyan, A., Narasimhan, K., & Deshpande, A. (2023). GEO: Generative Engine Optimization. KDD '24. arXiv:2311.09735
- Schema.org. (2026). Full Hierarchy and Type Vocabulary. schema.org
Book Your Free AI Visibility Audit
Formative Digital, Brantford, Ontario
The audit reads your current structured data and shows where the entity graph is incomplete or invalid. We deliver the written findings inside seven business days, no follow-up sales pressure. The Results Guarantee starts the day you sign if you decide to engage.