One connected entity graph, written for machines to read.
Structured data is how you hand a search engine or an AI tool the facts instead of hoping it infers them. We build a single linked JSON-LD graph across your site, Organization or LocalBusiness, WebSite, WebPage, BreadcrumbList, Service, Person, and FAQPage, connected by @id so each entity is defined once and everything references it. Google has been removing rich results, not adding them, so we build for the durable payoff: machine and AI legibility, and entity clarity. We validate on the rendered page, and we never invent ratings or reviews.
> Define each entity once,
> then link the rest by @id.
Schema is not decoration. It is how you spell out the facts.
Structured data is a machine-readable layer you add to a page so a search engine or an AI tool does not have to reverse-engineer what the page means from prose. Written in JSON-LD, it states plainly: this is a business, this is the site it owns, this page describes this service, here is the breadcrumb trail, here is who wrote it. The engines already know how to read it. Most sites simply never tell them, or tell them a fraction of the story.
For years the reward for schema was a richer listing: stars, FAQ dropdowns, how-to steps. That era is closing. Google retired the FAQ rich result in May 2026, did the same to HowTo on desktop back in 2023, and pulled seven more structured-data appearances out of Search in June 2025. The markup did not become invalid, the visual features went away. So we build schema for the reason that still holds and is getting more important, not less: legibility to machines, including the AI engines people now ask before they reach out.
That means we do not chase rich results that Google is actively removing, and we do not fabricate the reviews and ratings that some plugins bolt on to fake a fancier snippet. We build the honest thing: a clean, connected graph of who you are and what you do, defined once and validated where it actually runs. If a legitimate rich result is still available and your real data supports it, you get it. If not, you still get the entity clarity, which is the part that lasts.
What we mark up
The core entity graph for a service business, connected into one @graph.
- Organization or LocalBusiness, defined once
- WebSite, with your search action where it fits
- WebPage for every page type
- BreadcrumbList for the path to each page
- Service for what you actually offer
- Person for real, named authorship
- FAQPage where genuine questions live
One graph, linked by @id.
The difference between schema and a schema graph is the linking. We define each entity once, give it a stable @id, and reference it from everywhere else by that @id. A machine reads connected meaning instead of repeated, drifting fragments.
// define once, link by @id, keep the story consistent
Disconnected fragments
A plugin drops a standalone Organization block on the home page and calls it done. Nothing states that the WebSite belongs to that Organization, that this page describes a specific Service, or who authored it. The same details get repeated page to page and quietly fall out of sync, so a machine sees facts with no relationships between them.
It validates. It just does not say much, and it leaves the engine to infer the connections you could have declared outright.
Connected entities
One @graph ties it together. The Organization owns the WebSite. The WebSite contains WebPages. A WebPage is about a Service and sits on a BreadcrumbList. A Person is the author. Each has a stable @id, and everything references that @id rather than copying the values again.
The result reads like a knowledge graph: who you are, what you offer, and how the pages relate, stated once and stated consistently.
The whole graph, generated and validated.
A structured-data engagement is an audit, an architecture, and an implementation, not a plugin toggle. We map the entities your content already implies, build them into every page type, and generate the values from real page data so the graph stays true as the site changes.
Then we validate where it counts: on the rendered URL, through Google’s own tooling and the Schema.org Validator, with Search Console watched over time. You get the graph and the documentation to run it.
What we deliver
- An audit of your current schema with a validation report
- Entity-graph architecture mapped to your content
- A single linked
@graphconnected by@id - The core types: Organization or LocalBusiness, WebSite, WebPage
- BreadcrumbList, Service, Person, and FAQPage where genuine
- Dynamic generation from real page data, so it stays current
- Rich Results Test and Schema.org Validator on the rendered URL
- Search Console Enhancements monitoring over time
- Specialty types where they genuinely apply, never faked
- Documentation your in-house team can read and extend
Rich results are leaving. The vocabulary is not.
It is worth saying plainly, because a lot of schema advice still sells rich results that no longer exist. Google has spent recent years pruning structured-data appearances from Search, not expanding them. The FAQ dropdown is gone, HowTo went before it, and a batch of others went in 2025.
None of that makes the markup invalid, and Google is clear that unused structured data does not hurt a page. What it changes is the reason to do the work. The payoff moved from a decorated listing to something quieter and more durable: a site a machine can read without guessing.
So we are candid about it. If your only goal was FAQ stars in the SERP, that ship has sailed for everyone. If your goal is to be legible to search engines and to the AI tools reading your pages, structured data matters more now than it did when the snippets were the whole story.
Feature versus vocabulary
| Type | Rich result in Search? | Markup still valid? |
|---|---|---|
| FAQPage | Retired May 2026 | Yes, still parsed |
| HowTo | Retired (desktop, 2023) | Yes, still parsed |
| Course Info, Vehicle Listing, and 5 more | Retired June 2025 | Yes, still parsed |
| Organization, WebSite, Service | Not a SERP decoration | Core to the entity graph |
| BreadcrumbList | Still shown | Yes, and worth keeping |
The takeaway. Keep the markup, drop the expectation of a snippet Google has removed, and build the graph for legibility. That is the honest read on where structured data earns its keep in 2026.
We will never invent a star to decorate a result.
Rating and review schema is the part of structured data most often abused, and it is the part we are strictest about. Google’s guidelines are explicit that review markup has to reflect genuine reviews a visitor can actually find on the page, and that self-serving or fabricated review data can earn a manual action. A fake five-star snippet is not a shortcut. It is a liability with your name on it.
So the rule is simple. If you collect real reviews, we mark them up correctly and validate them. If you do not, we leave that schema off rather than manufacture it. The rest of the graph, your Organization, your Services, your pages and their relationships, does its job without a single invented number attached to it.
Our hard lines
- No fabricated ratings, review counts, or star snippets
- Review markup only for reviews a visitor can find on the page
- No schema for rich results Google has already removed
- No promised rankings, snippets, or AI citations
- Values generated from real data, not hand-faked
Audit, architect, generate, validate.
Schema is a small, precise piece of work when it is done right and a mess of drift when it is not. We treat it as architecture: map the entities once, generate them from real data, and validate where the page actually renders, so the graph stays honest as the site grows.
// build the graph once, generate the values, validate the rendered page
- Audit what is thereWe inventory your current structured data and run it through the validators, on the rendered URL, not the source. Usually we find a lone plugin block, an outdated logo, and a lot of the graph missing. You get a written report of what exists, what is broken, and what your content already supports but never declared.
- Architect the entity graphWe map the entities your site actually implies, Organization or LocalBusiness, WebSite, WebPage, BreadcrumbList, Service, Person, FAQPage, and design how they connect by
@id. Site-wide entities are defined once; page-level entities reference them. This is the step that turns fragments into a graph. - Generate from real dataWe build the schema into each page type so it is generated from the page’s real content rather than pasted in by hand. That keeps it current when you change a service or add a page, and it removes the drift that makes hand-maintained schema go stale and start lying.
- Validate on the rendered pageEvery page type goes through Google’s Rich Results Test and the Schema.org Validator against the real rendered output, which matters on JavaScript-heavy sites where the source and the render differ. We resolve every warning we reasonably can and document what remains and why.
- Monitor and hand overWe watch the Enhancements and structured-data reports in Search Console after launch, since production surfaces things a one-time test does not. Then we hand you the graph and documentation your team can read, so you can extend it as the site grows without starting over.
Frequently asked questions
Related services
Schema is one tablet in the larger search-and-AI record. These are the neighboring pieces, plus a deeper read from the Insights.
Want to know what your structured data actually says right now?
Send us your URL. We will validate what is there on the rendered page, map the entity graph your content already implies, and send back an honest read on what to build, what to drop, and what schema will and will not do for you.