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Yardstick Research tear-sheet / real estate cohort

Methodology · how we score · rubric weights in plain sight · vendors received this sheet seven days before publication and could flag factual errors, never rankings

Buildout

Identity

Total score: 54.0 / 100

Weighted dim sum: 64.0. Minus 10.0 pricing-transparency penalty (hard: no public rate card; pricing opaque and requires a sales engagement).

Dimension scores

Dimension Score Weight Weighted Evidence
AI capability depth 2.4 / 4 15 9.0 [VENDOR-CLAIMED] Buildout AI generates property descriptions, OM narrative sections, and marketing copy from structured property data inputs. Useful time-saver for broker-level marketing production; does not reach into deal analytics, valuation inference, or lease intelligence. - https://buildout.com/product/ai
Stack integration (Yardi/RealPage or Salesforce/ARGUS) 1.6 / 4 25 10.0 [VENDOR-CLAIMED] CoStar and LoopNet listing syndication is native. Salesforce integration exists at the CRM data-sync level. Yardi, RealPage, and ARGUS integrations are not relevant to the brokerage-side workflow Buildout serves - the 1.6/4 score reflects the category mismatch: Buildout is a brokerage marketing platform, and the rubric's integration criterion references PM-side systems that brokers don't operate.
Vertical specialization 4.0 / 4 20 20.0 [VENDOR-CLAIMED] Exclusively CRE brokerage - office, industrial, retail, multifamily (transaction side), and land. No residential consumer product, no PM functionality, no construction module. Built around the broker's OM-and-listing workflow from day one. - https://buildout.com/product
Implementation + time-to-value 2.4 / 4 10 6.0 [VENDOR-CLAIMED + THIRD-PARTY] Template library and AI copy generation are accessible within days of account setup. CRM and team-level pipeline configuration requires 2-4 weeks for a mid-size brokerage office. Faster than PM-platform alternatives; slower than simple listing-only tools.
Data + compliance posture (fair-housing, CCPA) 2.4 / 4 10 6.0 [VENDOR-CLAIMED] CRE commercial focus reduces fair-housing compliance complexity vs residential. CCPA documentation in privacy policy. SOC 2 status not publicly surfaced on a trust page as of research date. [UNKNOWN - SOC 2 audit date, data retention policy for client property data]
Pricing + scalability 0.8 / 4 5 1.0 [UNKNOWN - no public rate card] No pricing published on buildout.com. Sales-led; pricing requires a demo. [THIRD-PARTY ESTIMATE - small brokerage team references suggest $200-500/user/month, unverified] Hard penalty applied.
Vendor strength + named-customer evidence 3.2 / 4 15 12.0 [VENDOR-CLAIMED + THIRD-PARTY] Used by national CRE brokerage brands including CBRE, JLL, Cushman & Wakefield, and Marcus & Millichap teams. G2 reviews emphasize OM production speed. Named-customer case studies at buildout.com/customers. - https://buildout.com/customers
Base weighted total 100 64.0
Pricing transparency penalty −10.0 Hard: no public rate card; pricing fully opaque.
Adjusted score 54.0

Top strength

Vertical specialization in CRE brokerage marketing. Buildout is the only vendor in the cohort built specifically for the OM-and-listing workflow - from property data import through AI-generated narratives to CoStar/LoopNet syndication. Brokers who have manually assembled OMs in InDesign or PowerPoint and then updated listing details in three separate portals find Buildout's unified workflow to be a material time savings.

Top gap

Stack integration score. The 1.6/4 reflects a genuine category reality: Buildout is a brokerage platform, and the rubric's integration dimension references PM-side systems (Yardi, RealPage, ARGUS) that brokerage firms don't operate. Buyers who need the property data pipeline to flow from an owner's Yardi system into their Buildout OM will need to manage that data transfer manually or via API.

Editorial assessment

Buildout scores in the middle of the real-estate cohort because the rubric is calibrated for property operators, and Buildout serves brokers. The stack-integration penalty (1.6/4) is a category artifact: Yardi and RealPage are operator platforms; Buildout is a broker platform. Buyers evaluating Buildout should not interpret that dimension as a product weakness - it reflects the rubric's primary lens, which is property operation, not transaction marketing.

The AI capability score (2.4/4) reflects a useful but bounded AI surface. Buildout AI generates OM narrative sections and property marketing copy from structured data, which is a real and measurable time savings for a brokerage producing 20+ OMs per month. The AI does not extend into deal analytics, lease intelligence, or financial modeling - it is a production acceleration tool, not a strategic intelligence layer.

The hard pricing penalty (−10 points) is the most actionable flag for buyers. Buildout does not publish pricing, which is unusual for a product at this functionality and market penetration level. Buyers should request a detailed pricing breakdown - including per-user, per-office, and AI-feature add-on costs - before proceeding to a full evaluation.

Named-customer evidence (3.2/4) is strong: CBRE, JLL, and Marcus & Millichap teams using the platform is credible institutional validation for the brokerage use case.

Best for

Right-of-reply

Buildout received this tear-sheet seven calendar days before publication of the Yardstick Research 2026 Report, including all measured numbers, sample outputs, and editorial assessment. Buildout was given the opportunity to flag factual errors - incorrect pricing, misquoted feature availability, outdated screenshots, factual misstatement in the editorial assessment. Buildout was not given the opportunity to request a score revision, dispute the rubric or its weights, withdraw from inclusion, negotiate ranking placement, or suggest changes to the editorial assessment beyond factual correction. Where Buildout flagged a factual correction, the correction was applied if verified and noted here; where Buildout disputed scoring, the dispute is recorded in the appendix but the score stands. Silence during the right-of-reply window was treated as no objection.

Sources