LocalBusiness schema tells Google your name, address, business type, and service area as structured fact rather than inference. Three gaps show up in nearly every property management audit: a generic type instead of RealEstateAgent, no areaServed, and an empty sameAs chain. It produces no visible snippet.
Across the Metro Vancouver property managers I audit, I find the same gap: the firm has a Google Business Profile, a working website, and years of reviews, but no complete LocalBusiness schema. Google is receiving no machine-readable signal about who the business is, what it offers, or where it operates. That gap is separate from missing review schema. It is the foundational layer that everything else in structured data builds on.
When Google crawls a property management website with no LocalBusiness schema, it infers the business name, address, phone number, service area, and business type from visible page content. Structured data, code added to your site that makes those facts explicit, removes the inference and replaces it with a direct signal.
The firms I audit have often done everything else right: active GBP listings, consistent NAP (name, address, phone number) across directories, a fast site. The structured data layer is the one gap, and it is the layer that ties the organic website to the entity Google already knows about through Maps and the Knowledge Graph.
What does LocalBusiness schema actually do?
LocalBusiness schema is a JSON-LD (JavaScript Object Notation for Linked Data, a structured data format that embeds machine-readable facts in your HTML) block placed in the <head> of your website. It tells search engines: this is a real business, here is its name, address, phone number, service area, business type, and hours.
It is distinct from your Google Business Profile. GBP (Google Business Profile) sends signals to Google Maps and the Local Pack, the map-and-three-listings result for “property management near me” queries. LocalBusiness schema signals to Google’s organic index and structured data graph. Both matter and they reinforce each other, but they operate on different parts of Google’s systems.
Without it, your website and your GBP listing may exist as separate, unassociated items in Google’s systems. The sameAs field, which links your website to your GBP URL, LinkedIn, and other authoritative profiles, creates the co-reference chain that lets Google treat them as the same entity.
Which schema gaps do I find in property management audits?
Three implementation gaps appear consistently.
A generic type instead of a specific sub-type
The @type property (the field that tells Google what kind of entity this is) should be the most specific type that accurately describes the business. For a property manager, that’s "RealEstateAgent", the closest specific type schema.org offers for property management, rather than the generic "LocalBusiness". Google uses the type to understand what the business does; specificity here improves entity recognition for the queries you want to rank for.
No areaServed, so Google gets no coverage signal
Most property managers in Metro Vancouver serve a set of municipalities, not just their postal code. The areaServed field, which accepts a GeoShape (like the GeoCircle in the example below), an AdministrativeArea, a Place, or plain text, is how you communicate that coverage in structured data. Without it, Google gets no geographic scope signal from your schema.
An empty sameAs chain
The sameAs field lists the canonical URLs of your authoritative profiles: your GBP listing URL, your LinkedIn company page, your LandlordBC or PAMA listing. This is the co-reference chain that lets Google connect your website to the entity it already knows about through other sources. When it is empty, that chain is broken, your website and your GBP listing are harder for Google to associate with certainty.
Can you add your own review markup here for stars?
No. A business marking up reviews of itself is ineligible for the star feature and risks a manual action. The sameAs chain above is the legitimate route, it connects your site to the profile where your ratings actually live. See why your Google stars don’t show in search.
What does correctly implemented LocalBusiness schema look like?
The implementation is a JSON-LD block in your <head>, rendered server-side, Google’s crawler needs to see it in the initial HTML response, not injected after load by client-side JavaScript. Key fields for a Vancouver property manager:
{
"@context": "https://schema.org",
"@type": "RealEstateAgent",
"name": "Your Firm Name",
"url": "https://yourdomain.com",
"telephone": "+16045550123",
"address": {
"@type": "PostalAddress",
"streetAddress": "123 Main Street",
"addressLocality": "Vancouver",
"addressRegion": "BC",
"postalCode": "V5K 0A1",
"addressCountry": "CA"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": 49.2827,
"longitude": -123.1207
},
"areaServed": {
"@type": "GeoCircle",
"geoMidpoint": {
"@type": "GeoCoordinates",
"latitude": 49.28273,
"longitude": -123.12074
},
"geoRadius": "30000"
},
"openingHours": ["Mo-Fr 08:00-17:00", "Sa 09:00-14:00"],
"sameAs": [
"https://g.page/your-gbp-listing-url",
"https://www.linkedin.com/company/your-company"
]
}The @type is "RealEstateAgent", specific, not generic. The address block uses PostalAddress with all required sub-fields. The geo coordinates anchor the physical location. The areaServed block uses a GeoCircle with a 30km radius expressed in metres. The sameAs array links to the GBP listing, LinkedIn, and your industry listings. The full list of business sub-types is at schema.org/LocalBusiness.
If you want this implemented and validated correctly, the schema markup service covers LocalBusiness, entity grounding, and any additional schema types your pages need, including removing self-review markup a previous developer left behind.
How do you check whether your site already has it?
- Go to Google’s Rich Results Test and enter your URL.
- Look at the detected structured data. If you see a LocalBusiness result, expand it and check for
@type,address,areaServed, andsameAs. Missing fields or validation errors mean the schema is incomplete. - If the test shows no structured data at all, you have no schema on the page.
A second option is the Schema.org validator, paste your URL or source HTML directly. It will show all detected schema blocks and flag property errors.
A clean result means Google can read the data. It does not guarantee a rich snippet. LocalBusiness schema produces no visual enhancement in search results, and neither does self-hosted review markup, which is ineligible for stars in the first place. The benefit here is entity grounding, not a visible snippet.
Does LocalBusiness schema need to be on every page?
The identity block belongs on every indexed page, not just the homepage. This is counterintuitive if you think of schema as something Google assembles across a whole site, because Google does exactly that: it crawls everything and builds one graph, so a single definition would be enough for it.
AI citation crawlers do not work that way. OAI-SearchBot, ClaudeBot, and PerplexityBot fetch one URL at a time and evaluate it in isolation. To them, a page carrying only a pointer to an identity defined elsewhere has no business name, no service area, and no profile chain at all. Whatever page an engine happens to land on is the page that has to prove who you are.
Repeating the block is valid structured data, not duplication in the sense that would hurt you, because a single canonical @id collapses every copy back to one entity. Define it once in a template or component so there is one place to maintain, then render it everywhere.
Why does entity grounding matter for local rankings?
When a landlord searches “property management Burnaby” or “property manager North Vancouver,” Google is matching that query against its understanding of local businesses. The firms that rank are the ones Google has the most confidence about as entities: what they do, where they operate, and that they are real. LocalBusiness schema gives Google the structured facts it needs to place your firm in the right category, tie it to the right geography, and connect it to the signals it already has from your GBP listing and directory citations.
Without it, Google infers those facts from unstructured page text. Inference introduces uncertainty. Uncertainty reduces ranking confidence.
The firms I have audited that rank well for “property management [city]” queries almost always have LocalBusiness schema in place. The ones invisible in organic results almost always don’t. That correlation is consistent enough that it is now the first technical fix I recommend, before title tag work, before content expansion, before link building.
The technical SEO service covers this alongside indexation, crawling, and page-level signals, but LocalBusiness schema is a standalone implementation that can go live in a single deployment.
If you want to know whether your site’s schema is missing or broken, I run a structured audit that checks every field, type specificity, address completeness, areaServed coverage, sameAs chain integrity, and delivers a prioritized fix list. The audit is the next step.