NYC has 2.3M rental units — 1M of them rent-stabilised, every one DHCR-tracked.

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People also ask

• How much of NYC's rental stock is rent-stabilised under DHCR?

  ~1 million of NYC's ~2.3 million rental units are rent-stabilised — 43% of the rental stock — tracked in the NYC Division of Housing and Community Renewal (DHCR) registry, queryable by building. Misrepresentation of stabilised status triggers NY AG + DHCR fines plus tenant overcharge claims with treble damages under the 2019 Housing Stability and Tenant Protection Act (HSTPA), which removed luxury decontrol and high-rent vacancy decontrol. AI marketing automation pulling from MLS / RLS without DHCR cross-check creates regulatory exposure.

• Is source-of-income discrimination actually enforced in NYC?

  Yes — aggressively. NYC Administrative Code §8-107 protects source of income (Section 8, HASA, CityFHEPS, FHEPS-X, LINC, Pathway Home) among the strictest in the US. NY AG and NYC Commission on Human Rights routinely fine brokerages and landlords $1M+ for repeat source-of-income discrimination, with consent decrees imposing multi-year monitoring + Fair Housing training. AI-generated listing copy with `not for everyone`, `young professional`, `quiet building`, or `must qualify` creates exposure. Areza bakes Fair Housing review into the listing-publish pipeline.

• What is Compass AI and how does it set the recruiting baseline?

  Compass (NYC HQ, NYSE: COMP, ~28,000 agents nationwide) launched Compass AI agent tools in 2024 — CRM-integrated LLM features for listing description drafting, market analysis, client communication, and contact intelligence. Public positioning: `agent productivity, not agent replacement`. Architecture: OpenAI + Anthropic via Microsoft Azure with Compass-controlled prompt + retrieval layer, no-training-on-client-data contractual posture. Brokerages without comparable tooling lose top-producer recruits to Compass; competing brokerages with comparable or better tooling pick up Compass-defector teams.

• Why does RealEstateListing schema matter for NYC long-tail queries?

  schema.org RealEstateListing (introduced 2023) is the canonical structured-data type for residential and commercial listings — Apartment + House + Place + GeoCoordinates + Offer + MonetaryAmount layer underneath. Adoption is ~30% of US listings as of 2024, so the citation gap is wide and cheap to close. Google AI Overviews + ChatGPT + Perplexity preferentially cite RealEstateListing-marked pages for `find me a 3-bedroom in Brooklyn` queries. Mid-market NYC brokerages with this schema pick up citation share against StreetEasy's ~80%+ NYC rental search share.

• When does after-hours voice intake matter for NYC residential brokerages?

  NYC residential inbound spikes 6 PM–9 PM weekdays and all-day Saturday + Sunday — exactly when brokerages staffed business-hours-only miss the call. Mid-market NYC brokerages with after-hours voice agents pick up 30–40% of consumer-facing real-estate inquiry that arrives outside business hours. The Voice Agent runs Fair Housing-aware pre-screen, source-of-income protection awareness, DHCR rent-stabilisation status awareness, and books viewings via Calendly with Compass / BoldTrail / Follow Up Boss CRM handoff. Audit-log retention compliant with NY consumer-protection law.

Frequently asked

• How does Areza handle NY Fair Housing + NYC source-of-income protection on AI-generated listing copy?

  Every AI-generated listing description and marketing surface goes through a Fair Housing review baked into the publish pipeline. NY State Human Rights Law + NYC Administrative Code §8-107 prohibit discrimination on race, colour, national origin, religion, sex (incl. gender identity + sexual orientation), age, disability, marital status, military status, source of income, immigration status, and other protected categories. Prohibited patterns flagged automatically: `not for everyone', `young professional', `quiet building', `must qualify', school-quality claims, neighbourhood-character claims, `family-friendly' (implies marital + parental status), source-of-income exclusions (Section 8, HASA, CityFHEPS, FHEPS-X, LINC, Pathway Home are all protected sources). AI-generated copy is reviewed by a Fair-Housing-trained reviewer before publish; the Voice Agent script is configured to recognise Fair Housing trigger phrases on inbound calls and route to human handoff inside 30 seconds. Audit logs retained for the NY AG investigative-period requirement.

• Does Foundation include DHCR rent-stabilisation status cross-check?

  Yes. Every rental listing rendered on a Foundation engagement has DHCR rent-stabilisation status cross-checked against the DHCR registry (where applicable to the unit). Misrepresentation of stabilised status triggers NY AG + DHCR fines plus tenant overcharge claims with treble damages under the 2019 Housing Stability and Tenant Protection Act. The architecture: DHCR registry query at listing intake, automatic flag if the unit is rent-stabilised, mandatory disclosure of stabilised status in the listing surface (rendered as schema-marked HTML, not buried in PDF footnotes), audit log retained. For commercial listings, NYC DOB Buildings Information System (BIS) cross-check is performed for classification + Certificate of Occupancy + zoning + violation history; misrepresenting a building's DOB classification creates litigation exposure.

• Is the Voice Agent compliant with NY consumer-protection law for real estate?

  Yes. The Voice Agent is configured for NY State Real Estate License Law (Article 12-A of the Real Property Law) and NYC Department of State licensing requirements. The script discloses `licensed real estate broker' on inbound and outbound interactions; agent-level NY DOS license number is referenced where required. Fair Housing trigger phrases (`I don't want neighbours who are X', `is this neighbourhood good for [protected class]', `families with kids living here?') are flagged for human handoff inside 30 seconds. Source-of-income protection awareness is baked in — the script will not screen out callers using Section 8, HASA, CityFHEPS, FHEPS-X, LINC, or Pathway Home. Audit logs retained for the NY AG investigative-period requirement plus NY DOS retention rules. After-hours + weekend voice capture configured for the 30–40% of NYC residential inbound that arrives outside business hours.

• How does Areza handle RealEstateListing schema and structured data for AI citation?

  Every listing surface in a Foundation engagement ships schema.org RealEstateListing + Apartment + House + Place + GeoCoordinates + Offer + MonetaryAmount + amenity-tagged Feature schema as canonical structured data. Google AI Overviews + ChatGPT + Perplexity preferentially cite RealEstateListing-marked pages for `find me a 3-bedroom in Brooklyn' style queries — adoption is ~30% of US listings as of 2024, so the citation gap is wide and cheap to close. Agent bios ship Person + RealEstateAgent + Place schema with REBNY participation, NY State DOS license number, transaction history (where publicly available), and media mentions. Brokerage office surfaces ship RealEstateAgent + Organization + LocalBusiness schema. llms.txt is configured for ChatGPT + Perplexity + Claude allow-list with en-US scoping.

• Do you handle NYC AEDT (Local Law 144) for a brokerage's recruiting tooling?

  Yes — same approach as our other NYC vertical practices. We map the bias-audit obligation across the brokerage's recruiting stack (Workday, Greenhouse, BambooHR, or whatever the brokerage uses), configure the candidate-notification flow on the recruiting marketing surface (10-business-day notice + opt-out + alternative-process language), and surface the summary results of the most recent bias audit as plain HTML. We do not perform the bias audit ourselves — the statute requires an independent auditor with no financial interest in the AEDT or the employer. For clients that need both marketing-site work and bias audit, we refer to a specialised AEDT auditor. Most mid-market NYC brokerages with sub-50-agent headcount have minimal AEDT exposure (they don't run formal AEDT in hiring), but Compass-scale + larger Douglas Elliman / Corcoran-scale recruiting teams are firmly in scope.

• Does the AI Search retainer compete against StreetEasy and Compass.com?

  Not on portal-share — StreetEasy and Compass.com hold structural advantages we cannot displace. The AI Search retainer competes on off-portal AI citation and long-tail neighbourhood + price-band + property-type queries answered by ChatGPT, Perplexity, and Google AI Overviews. AI Overviews route around StreetEasy + Compass.com + Zillow + Realtor.com 30–45% of the time on long-tail NYC real-estate queries, citing a mix of brokerage own-listing pages, REBNY directory, NY State DOS licensee directory, NY Furman Center reports, NYC EDC neighbourhood profiles, The Real Deal + Real Estate Weekly + Brownstoner + Curbed NY commentary. NYC mid-market brokerages with RealEstateListing schema, structured agent bios, and authoritative FAQ markup pick up citation share that previously had to be bought through StreetEasy Premium + Zillow Premier Agent + Realtor.com lead packages.

• What pricing should a NY mid-market brokerage expect for an Areza engagement?

  Foundation starts at USD $5,200 for a 2–4 week conversion-first build with RealEstateListing schema across listings, structured agent bios with Person + RealEstateAgent + Place schema, FAQPage markup for co-op vs condo + board approval + REBNY co-broking + NY transfer tax + mansion tax queries, NY Fair Housing + source-of-income review pipeline, DHCR rent-stabilisation cross-check workflow, NYC DOB BIS cross-check for commercial listings, NY SHIELD-aligned cookie banner, ADA WCAG 2.1 AA compliance, llms.txt configured for ChatGPT + Perplexity + Claude allow-list. AI Search retainer starts at USD $430/month with named-target citation tracking against StreetEasy + Compass.com + Zillow + Realtor.com + The Real Deal + Brownstoner. Voice Agent for inbound buyer + seller + tenant intake + viewing-appointment scheduling adds USD $1,300–$1,900/month depending on call volume. A typical NY mid-market brokerage engagement combines Foundation + AI Search + Voice Agent at USD $7,200–$10,200 setup plus USD $1,600–$2,700/month.

• How does Areza differ from Compass AI, StreetEasy's tooling, or a NYC real-estate marketing boutique?

  Compass AI is captive to Compass agents — it does not help a Douglas Elliman, Corcoran, Brown Harris Stevens, Coldwell Banker Warburg, or independent boutique agent. StreetEasy's tooling is captive to StreetEasy's portal — brokerages pay for placement, not for owned AI infrastructure. NYC real-estate marketing boutiques (the long tail of agency vendors serving NYC brokerages) cover photography + 3D tour + listing copy + paid media but typically do not ship RealEstateListing schema infrastructure, Fair Housing review pipelines, or AI-search citation strategy. Areza is purpose-built for the AI-search + agentic-automation + voice + Fair-Housing-compliant marketing infrastructure layer at mid-market NYC brokerages (10–500 agents) and mid-market commercial RE firms (30–500 professionals) — the firms that Compass-scale tooling does not serve and that need to compete with Compass on first-pass agent productivity without paying Compass's overhead.