CoStar and LoopNet dominate commercial inventory the way Zillow dominates residential. · Tenant-rep, investment-sale, and asset-class queries sit outside the IDX duplicate-content problem entirely. · Entity authority on commercial practice areas captures queries the residential MLS architecture cannot reach.
Commercial brokerage is not residential brokerage at scale. The data layer, the directories, the buyer, and the queries diverge enough that a residential SEO program ports to commercial poorly. The commercial surface is its own vertical and the work is built against the commercial data layer directly.
Residential MLS architecture does not carry commercial inventory. Local MLSs and RESO Web API feeds carry residential listings. Commercial inventory lives on CoStar (subscription-walled), LoopNet (the CoStar-owned public surface), Crexi, and broker-direct platforms. The IDX duplicate-content problem that defines residential SEO does not apply, because the feed source is structurally different. Commercial SEO programs that route through residential IDX vendors miss the actual data layer entirely.
CoStar and LoopNet are the directory tollbooths for commercial. CoStar Group owns LoopNet, Apartments.com, and a dominant share of commercial inventory data. Commercial directory authority concentrates differently than residential. The independent-organic versus directory-tollbooth question still applies, but the directories are different and the entity-authority workaround runs on commercial practice areas (tenant rep, investment sales, asset classes) instead of buyer-representation content.
Commercial schema runs on practice-area specialization. RealEstateAgent is the same schema type for commercial. The differentiation comes through knowsAbout populated for commercial practice areas (office leasing, industrial sales, retail tenant rep, multifamily investment, 1031 exchange specialist) and areaServed mapped to the metropolitan statistical area where the broker actually transacts. Service nodes ship per practice area, not per geography alone.
Buyer is institutional or principal, not consumer. The commercial buyer is a corporate tenant, a syndication sponsor, an institutional investor, or a principal. Search intent skews toward asset-class research, market reports, comparable-sale data, and tenant-rep capability. The conversion shape is longer, the deal sizes are larger, and the content cadence runs against quarterly market reports rather than weekly buyer-education posts.
Search Console export filtered for commercial queries, CoStar and LoopNet profile audit, schema audit against commercial practice areas, on-page audit against tenant-rep and investment-sale capability statements. Output names the practice areas where the firm has transactional depth and the queries it can defensibly capture.
RealEstateAgent and RealEstateAgency nodes restructured around commercial practice areas. knowsAbout populated for the specific commercial verticals the firm transacts (office, industrial, retail, multifamily, land, hospitality). Service nodes ship per practice area. areaServed mapped to the metropolitan statistical areas the firm actually covers.
Capability pages built per practice area against the buyer journey for that vertical. Tenant-rep pages structured for corporate occupier search intent. Investment-sale pages structured for syndication and institutional capital intent. Brokerage firm-name disclosure per NAR SOP 12-9 carried through every surface even though the buyer is institutional.
Quarterly market reports per practice area shipped on a cadence that matches CoStar and Cushman & Wakefield rhythms. Comparable-sale and absorption-rate content shipped against the queries institutional buyers actually run. Annual review against commercial directory authority shifts and CoStar pricing changes.
Named-client testimonials surface here as engagements ship.
Commercial real estate buyer intent runs through different surfaces than residential. The buyer is a corporate occupier, a syndication sponsor, an institutional investor, or a principal. The content that earns the engagement matches the buyer's research process rather than the consumer-style shop-by-listing pattern.
Office absorption rates, industrial vacancy trends, retail tenant-rep activity, multifamily rent growth, asset-class-specific cap rate compression. The reports earn editorial mentions from commercial-trade publications, route directly to the buyer's quarterly investment-committee process, and rank for the commercial-intent queries the buyer runs while building the deal pipeline.
A 50,000 SF tenant-rep engagement for a tech occupier expanding into a secondary market. An institutional industrial investment-sale brokerage role with named market-share figures. A retail-portfolio repositioning project with measurable absorption results. The case studies rank for asset-class-plus-geography queries and double as credibility material in the broker's outreach process.
Tenant Representation, Investment Sales, 1031 Exchange Consulting, Net Lease Investment, Industrial Brokerage, Office Leasing. Each capability page surfaces the relevant designations the brokers carry (CCIM, SIOR, MAI) and the specific practice-area depth. The knowsAbout schema populated for each capability provides the entity-graph signal that maps the broker to the practice area.
Commercial buyers research zoning, entitlement, land-use designations, parking ratios, and FAR (floor-area ratio) calculations before they tour properties. A brokerage that ships substantive zoning-explainer content for the jurisdictions it covers ranks for the research-phase queries and earns the engagement when the buyer is ready to transact.
Asset-class outlook pieces (industrial in secondary markets, office adaptive-reuse, multifamily in tertiary metros, neighborhood retail). The content speaks to the institutional capital allocator rather than the consumer. It earns inclusion in institutional-investor research briefings and routes capital-stack participants to the brokerage's commercial-investment-sales practice.
Commercial brokerage SEO operates entirely outside the residential MLS-IDX architecture. The data-layer differences are covered above in the operator section.
We read your Search Console, your CoStar and LoopNet presence, your schema, and your on-page layer against the commercial practice areas you transact. Diagnostic comes back inside two weeks with the practice-area entity gaps, the directory positioning, and the commercial queries you can defensibly capture.