Wikidata Local Business Coverage by City (2026)

"Lawyer in Austin." "Clinic in Seattle." "Realtor in Miami." When people ask AI in a specific city, the answer only includes businesses that are in the knowledge graph and have city-level location. Most US local businesses aren't in Wikidata at all—and even fewer have that city link, so the gap at the city level is even starker. This post uses live data to show how many law firms, medical clinics, and real estate companies (with an official website) appear in Wikidata by city for 15 major US metros—and how getting your business into the graph with the right location puts you in the running.

The GEO lever that matters here isn't tracking rankings—it's getting listed in Wikidata with your city (and state) so AI can match you to local queries. Below: the numbers. At the end: how to get your business into the graph.

Coverage by city (law firms | medical clinics | real estate)

Only entities with located in (P131) set to the city are counted. Most cities show zero or single digits—so the city-level gap is even larger than the national one.

What this means for you

• Queries are local: People ask "lawyer in Austin," "clinic in Seattle," "realtor in Miami." If your business is in Wikidata but without city (or state) location, AI may not match you to those queries. Publishing with proper location is what fixes that.
• First in city: In many metros, zero or one entity per industry have city-level data. Getting your business into Wikidata with city and state gives you a "first in the graph for this city" opportunity.
• For agencies: This table is pitch-ready. "Here’s how many [law firms / clinics / real estate companies] in [city] are in the knowledge graph with a city location. We can get your client into that set so they show up when people ask AI."

The GEO approach that actually creates visibility

Most AI visibility tools only report whether you appear in ChatGPT or Perplexity for a given city—they don't add you to the source. GEMflush is built around the opposite idea: we publish your business to Wikidata with 11+ structured properties, including location (city, state, address, coordinates where applicable). Monthly updates keep your listing current. Once you're in the graph with the right location, you're in the pool AI can recommend for local queries. That's knowledge graph engineering for GEO: change the data AI uses, not just the report you see.

Methodology

• Law firm: Q613142; medical clinic: Q1774898 or business with P1995, excluding Q16917; real estate: Q1660104.
• US only (P17=Q30), official website (P856), located in city (P131 = city QID).
• Cities: fixed list of 15 US cities (Austin, Miami, Seattle, Phoenix, Denver, Nashville, Boston, Chicago, Los Angeles, San Francisco, Dallas, Houston, Atlanta, San Diego, Philadelphia).

Data as of March 2026. Numbers from SPARQL queries against the public Wikidata Query Service. Run pnpm tsx scripts/wikidata-coverage-by-city.ts to refresh.

Get your business in the graph

• Which US Industries Have the Biggest Knowledge Graph Gap? — national comparison.
• US Law Firms, US Medical Clinics, US Real Estate in Wikidata by state — state-level coverage.
• GEMflush publishes your local business to Wikidata with full location and structured data, and tracks when you appear in AI responses. Get started or see AI visibility for agencies.