This is an example of an agent your team can build in Sylvie: it writes, validates and maintains the JSON-LD for any page or template you point it at, from Article and Product to FAQPage, LocalBusiness and Person. It runs on your brand brain, so the markup carries your real product specs, approved claims, author credentials and entity relationships instead of the placeholder values a generator leaves behind. Sylvie does not ship it pre-built: your team assembles it once on the brand brain, then it keeps the site marked up correctly as pages, prices and templates change.
Sylvie does not ship this agent pre-built. It is an example of an agent your team can build with Sylvie, powered by your brand brain, so it runs your workflow the way you actually run it.
The Schema Markup agent is an example of what a marketing team can build on top of its brand brain in Sylvie. It owns one job end to end: turning a page into the structured data that tells Google, Bing and the AI answer engines exactly what that page is, who published it, what it sells and how it connects to everything else the brand has published.
Most schema on the web is technically valid and factually vague, because whoever generated it did not have the product spec, the cleared claim or the author's credentials in front of them. That gap is where rich results are lost and where an answer engine decides to cite someone else instead. An agent built on the brand brain closes it, because the facts it marks up are the same facts the rest of your work already runs on.
When you assemble the agent, you connect it to the brand brain: product names, SKUs, specs and pricing rules, the claims legal has cleared, the experts and authors the brand publishes under, locations, events, entity relationships and the schema patterns already live on the site. Because the brain is permission-aware, it marks up only what this brand is authorized to state publicly, and nothing from another client's account can leak into a property's markup.
Inside Sylvie you hand it a URL, a batch of URLs or a CMS template, and it returns validated JSON-LD ready to paste or push, plus a plain-language note on what each block claims and where that fact came from. It flags mismatches (markup saying one price while the page says another), gaps it cannot fill from the brain, and properties Google now expects for that type. Every correction you make teaches the brain, so the next batch starts closer to final.
The agent pulls prices, specs, credentials and claims straight from your brand brain, so the markup describes the product you actually sell instead of the generic fields a generator leaves half empty.
It writes against the current required and recommended properties for each type, so batches clear validation instead of coming back as Search Console warnings six weeks later.
Point it at a CMS template once and it returns the markup pattern for every page built on it. One pass covers a whole category rather than a single URL.
Strategists get paste-ready JSON-LD with implementation notes per template, so a schema project stops being a ticket that sits in a sprint backlog for a month.
Clean entity markup is how answer engines confirm who you are before they cite you. The agent marks up the relationships between your brand, people and products, not just the page type.
When a price, a location or an author bio changes in the brain, the agent surfaces the pages whose schema now contradicts the page. Stale markup gets caught before Google catches it.
Structured data work tends to arrive in batches: a legacy site, a migration, an error report, a new client. Here is where SEO teams point this agent once it is built on the brand brain.
The client's site carries almost no structured data and nobody has budget for a specialist to hand-write it. The agent works template by template off the brand brain and returns the full markup spec in days, turning a quarter-long project into one sprint and freeing the SEO lead to work on the content plan instead.
Every product page needs price, availability, identifiers and review data that match both the page and the feed. The agent builds it from the product facts already in the brain, so the catalogue ships with consistent markup, Merchant Center stops flagging mismatches, and the PDPs become eligible for the richer result.
Each location needs its own LocalBusiness entity with consistent name, address, hours and service area. The agent generates all 60 from the brain in one run, so the local pages stop competing with each other and the branches finally read to search as one organization.
The client forwards a list of invalid items and asks what it means. The agent reads the affected pages, rewrites the offending blocks against the brand brain and returns corrected JSON-LD with a note per fix, so the report goes to zero and the account team has an answer for the client the same day.
New templates almost always drop the markup the old ones carried, and it gets noticed a month after launch when the rich results quietly disappear. The agent produces the schema spec as part of the build handoff, so the new site launches with its structured data intact instead of rebuilding it next quarter.
The client publishes under named practitioners whose credentials never make it into the markup. The agent maps Person and Organization entities with the right sameAs links from the brain, so expertise signals become explicit and those authors start being named as the source when AI engines answer questions in their field.
A plugin fills in the fields it can read from your CMS, and a generator fills in whatever you type. Neither knows your approved claims, your real product specs or the credentials of the person who wrote the page. This is an agent you build on your own brand brain, so the markup is grounded in facts your team has already signed off, and it works across templates and batches rather than one URL at a time.
Someone has to put the JSON-LD live, but the hard part (deciding what to claim, in which type, with which properties) is the part the agent does. It returns paste-ready blocks with implementation notes per template, so a strategist can hand a clean spec to a developer or push it through a tag manager without a discovery phase first.
It marks up what is in the brand brain and nothing else. If a required property is missing, it says so and asks rather than filling the gap with something plausible, and anything that contradicts the page gets flagged. The permission model in the brain is what decides which facts this brand can state publicly.
You build the agent once and run it on each client's brand brain. Every brand gets markup from its own products, locations and approved claims, with strict isolation so no client's data appears in another's schema. One agent, one brain per account.
The work is in the brand brain, and if you already run Sylvie for that client most of it exists: the product facts, the cleared claims, the people, the published site. From there, assembling the Schema Markup agent is a configuration step rather than a build. You get usable output on the first batch and tune the rules from there.
That is exactly why it lives on your brain instead of in a static template. The agent writes against current guidance, and when requirements shift you update the rules once and re-run the batch. Because everything it has produced traces back to the brain, refreshing a site's markup is a re-run rather than a rebuild.
Book a demo and we will map the workflows worth turning into agents, and show how each one runs on your brand brain.
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