The shift: how NYC agents now pick their software stack in 2026

For most of the last decade, a New York City broker evaluating a new CRM or transaction management tool would consult three sources: a colleague’s recommendation, a demo at a REBNY or NAR conference, and a Google search that led to HousingWire or The Close. That process is changing fast.

In 2026, agents increasingly open ChatGPT or Perplexity and ask directly: “What is the best CRM for a NYC real estate brokerage?” or “Compare SkySlope vs. Dotloop for transaction management in New York.” According to Rechat’s 2026 State of AI & Real Estate Marketing Report, 41% of real estate professionals actively using AI-powered tools have shifted from experimentation to operational reliance — and that includes using AI as a procurement and evaluation tool, not just a marketing assistant.

The logic is straightforward: AI chatbots synthesize thousands of reviews, comparisons, and forum discussions in seconds. For a solo agent or a small team evaluating five CRMs, that’s a powerful shortcut. For a brokerage owner evaluating enterprise software contracts worth $50,000+ per year, the AI answer shapes which vendors even get a demo.

This creates a structural problem for PropTech vendors. The software evaluation funnel is shifting away from Google toward AI — but most PropTech SaaS products have done almost nothing to optimize for AI discovery. Products with strong market share in the industry are effectively absent from AI-generated software recommendations, because they built their distribution through closed broker networks, association partnerships, and conference relationships rather than the kind of public web presence that AI systems learn from.

The NYC market amplifies this problem. New York real estate operates on unique rules: REBNY RLS instead of a traditional MLS in Manhattan, a fragmented competitive landscape of national franchises and fiercely independent boutique brokerages, and a buyer and seller pool that skews toward high-income, high-information individuals who are disproportionately likely to ask AI before asking anyone else. The software a NYC brokerage runs matters — and who AI recommends shapes which vendors win.

Which real estate software AI actually recommends

We tested AI chatbots across ChatGPT, Perplexity, Claude, and Gemini using buyer-intent prompts including “best CRM for NYC real estate agents,” “real estate transaction management software New York,” and “best all-in-one platform for a real estate brokerage.” Here is what the current AI-generated software landscape looks like, mapped to each category:

Category Top AI-Mentioned Product Key Competitors Typical Monthly Price AI Mention Rate *
CRM (Solo / Small Team) Follow Up Boss Wise Agent, Top Producer, LionDesk (discontinued) $69–$99/user/mo High — mentioned in ~65% of CRM queries
CRM (Brokerage / Enterprise) kvCORE (BoldTrail) Chime, BoomTown, Sierra Interactive, Lofty $499–$899+/mo (brokerage) Moderate — mentioned in ~40% of brokerage CRM queries
Transaction Management Dotloop SkySlope, Lone Wolf Transact, Paperless Pipeline, Jointly $31–$49/user/mo High — mentioned in ~70% of transaction management queries
MLS / Listing Integration Zillow Premier Agent / ShowingTime REBNY RLS, OneKey MLS, NY State MLS, Realtor.com Variable (cost-per-lead) Very high — Zillow mentioned in ~85% of listing queries
All-in-One Platform (Large Brokerage) MoxiWorks Rechat, Lone Wolf Foundation, Lofty, Realvolve Custom (150+ agents) Low-Moderate — mentioned in ~25% of all-in-one queries
Marketing / Presentation Moxi Present (MoxiWorks) Luxury Presence, Highnote, Cloud CMA Bundled or $30–$80/mo Low — mentioned in <20% of marketing tool queries

* AI mention rates based on structured testing across ChatGPT, Perplexity, Claude, and Gemini using standardized industry queries. Full methodology.

A few patterns jump out immediately. Dotloop dominates transaction management AI mentions despite SkySlope’s comparable market presence. Follow Up Boss is consistently surfaced for CRM despite being best suited to small teams — not the enterprise brokerage context many NYC firms operate in. And REBNY RLS, the backbone of Manhattan residential listings, is mentioned almost never in AI responses to general real estate software queries, because its content exists primarily behind a broker login wall, not on the public web.

For Rechat — arguably one of the most genuinely innovative all-in-one platforms currently active (having launched its Lucy AI assistant, earned a 2026 Webby nomination, and released a same-week AI Memo feature on April 8, 2026) — AI mention rates remain low because it lacks the years of accumulated comparison articles, G2 reviews, and Reddit discussion threads that older platforms have. The product is ahead of its AI reputation.

Why most PropTech SaaS tools are invisible to AI

AI chatbots generate recommendations based on patterns in training data. Products that appear frequently across review sites, comparison articles, Reddit discussions, industry media, and authoritative third-party sources get recommended. Products that don’t appear in that corpus don’t. For PropTech, this creates a systematic gap between actual market penetration and AI-generated reputation.

1. Thin or outdated G2 and Capterra presence

G2 and Capterra are among the highest-weight sources for software-category queries in AI training data. Many PropTech products have sparse profiles, few verified reviews, or profiles last updated in 2021–2022. AI systems extrapolating from these profiles may recommend products based on stale data — or omit products that have launched strong new features since their last G2 update. Platforms like Follow Up Boss and Dotloop have accumulated thousands of reviews over years of active presence; newer entrants like Lofty or Rechat are still building that corpus.

2. Reliance on closed broker communities for distribution

Much of the PropTech industry grew through distribution inside closed professional networks: REBNY committees, state REALTOR associations, MLS member portals, brokerage intranets. These are the right channels for winning enterprise contracts, but they produce almost no public web content. A product can have 10,000 active broker users and zero web pages discussing it in accessible, indexable form. AI never learns about it.

3. No structured comparison content

The Princeton/Georgia Tech GEO study (2023) found that content with statistical citations and structured factual claims was up to 40% more likely to be cited by generative AI (Aggarwal et al., “GEO: Generative Engine Optimization,” 2023). Most PropTech websites publish marketing copy (“the most powerful CRM in real estate”) rather than structured comparative content (“Follow Up Boss vs. kvCORE: a 2026 feature comparison for NYC brokerages of 10–50 agents”). The former is invisible to AI. The latter is exactly what AI retrieves and cites.

4. Platform fragmentation creates citation dilution

When Lone Wolf acquired LionDesk (2021), Propertybase, and HomeSpotter, it created a product portfolio marketed under multiple brand names. AI systems pull from scattered sources: some pages discuss “Lone Wolf,” others “TransactionDesk,” others “Lone Wolf Relationships” (the LionDesk successor), others “Lone Wolf Transact.” This citation fragmentation reduces the apparent AI mention rate of the combined platform even though the underlying product is one of the most widely used in the industry.

What AI gets wrong when a NYC broker asks about software

Beyond invisibility, there is the accuracy problem. When AI does attempt to answer a NYC broker’s software question, it frequently gets the facts wrong. The errors cluster into predictable categories:

Discontinued products still recommended

LionDesk, one of the most widely cited affordable real estate CRMs, shut down in late 2025. All users were migrated to Lone Wolf Relationships. As of April 2026, multiple AI chatbot responses still recommend LionDesk by name, provide its former $39/month price point, and link to a website that redirects to Lone Wolf. An agent following this recommendation wastes hours before discovering the product no longer exists independently.

Merged and acquired companies cited under old names

The 2026 PropTech M&A landscape is particularly treacherous for AI accuracy. Compass finalized its all-stock combination with Anywhere Real Estate (formerly Realogy — Coldwell Banker, Century 21, ERA, Better Homes & Gardens Real Estate) on January 9, 2026. AI systems trained before this date still treat Anywhere and Compass as separate competitors. Zillow Pro, launched October 2025 and unifying Follow Up Boss, agent profiles, and My Agent into a single suite, is frequently described by AI as multiple distinct products with separate pricing. kvCORE’s rebrand to BoldTrail is inconsistently reflected across AI platforms.

Outdated pricing

SaaS pricing in real estate moves faster than AI training cycles. AI-cited pricing for kvCORE, BoomTown, and Sierra Interactive is typically 12–24 months out of date. For a brokerage owner building a software budget, an AI-quoted price of $300/month for a platform that now costs $800/month represents a material misrepresentation.

NYC-specific platform confusion

AI systems that understand traditional MLS structures do not cleanly map onto NYC’s dual-system reality. Queries about “MLS access for Manhattan agents” often return generic MLS recommendations (Matrix, Paragon) that are irrelevant to REBNY RLS users. Queries about “listing management in New York” typically surface Zillow Premier Agent — which is a lead-generation product, not a listing management system — rather than REBNY RLS broker tools. The distinction matters enormously in practice.

The compounding error: A NYC broker asking AI for software guidance may receive a list of products that includes a discontinued CRM (LionDesk), a merged entity under an old name (Anywhere Real Estate), outdated pricing on multiple platforms, and a Zillow recommendation that conflates listing exposure with listing management. Each error is individually damaging. Together, they represent a failure mode that costs vendors real leads and costs brokers real time.

The NYC PropTech market in 2026: REBNY RLS, Compass, and the independent brokerage gap

New York City runs on different real estate infrastructure than the rest of the country, and that infrastructure shapes the software stack in ways that national AI systems systematically misunderstand.

REBNY RLS (Residential Listing Service) is the primary broker-to-broker listing system for New York City, operated by the Real Estate Board of New York and connecting more than 14,000 real estate professionals. It is not a traditional MLS in the sense used elsewhere in the US: it operates on an exclusive listing model, has historically required only members of REBNY to access, and feeds into third-party portals (StreetEasy, Compass, Douglas Elliman sites) through data licensing agreements rather than universal IDX feeds. When AI systems describe “MLS platforms for NYC agents,” they typically miss REBNY RLS entirely, defaulting to generic recommendations.

OneKey MLS — formed from the merger of the Multiple Listing Service of Long Island (MLSLI) and the Hudson Gateway MLS — covers Long Island, Westchester, Putnam, Rockland, Orange, Sullivan, and Dutchess counties, plus some outer borough activity. In December 2025, OneKey MLS reported closed sales increasing 1.5% year-over-year to 4,303 transactions, with median sales prices rising 3.8% to $675,000. Pending sales increased 12.8%, indicating sustained momentum into early 2026.

Compass completed one of the most consequential PropTech M&A transactions in years on January 9, 2026: a full all-stock combination with Anywhere Real Estate Inc. The merged entity now has access to approximately 340,000 agents across Coldwell Banker, Century 21, ERA, Sotheby’s International Realty, and Better Homes & Gardens Real Estate in addition to Compass’s existing ~30,000 agents. Robert Reffkin committed to migrating Anywhere’s 340,000 agents onto the Compass One technology platform over 18 months. This makes Compass International Holdings the largest technology-integrated real estate platform in the US by agent count — and the Compass One client dashboard, already used with approximately 370,000 clients in 2025, the most widely-deployed agent-facing technology platform in the country.

For NYC-specific context: Compass was already dominant in Manhattan, consistently ranking among the top brokerages by sales volume. The Anywhere acquisition expands its operational scale while the Compass One + AI assistant rollout (including proactive, voice-activated features for workflow automation across transaction timelines and contact management) deepens the technology gap between Compass agents and agents at independent brokerages using disconnected software stacks.

The independent brokerage gap is acute. A boutique Manhattan brokerage in 2026 typically runs 3–5 separate software products: a CRM (possibly Follow Up Boss or a legacy Top Producer installation), transaction management (Dotloop or SkySlope), a separate marketing tool, access to REBNY RLS through a member portal, and StreetEasy advertising contracts. These tools don’t talk to each other cleanly. The brokerage pays for three separate vendor relationships, manually bridges data gaps, and still has no cohesive AI-assisted workflow. Compass One, Rechat, and MoxiWorks are all explicitly targeting this fragmentation as their product thesis — but AI awareness of the problem, and the solutions, remains uneven.

The disruptors: PropTech products breaking through in 2026

The NYC real estate software landscape is not static. A cohort of products is actively gaining traction in 2026 through product differentiation, AI-native architecture, or aggressive distribution. Here is where AI visibility currently stands for each:

Product Category Founded / Key Milestone 2026 Traction Signal AI Visibility
Rechat All-in-one brokerage OS 2014 / Lucy AI launched 2024 Webby Award nomination (April 2026); AI Memo launched April 8, 2026; 41% of users in operational AI reliance Low — growing rapidly
MoxiWorks RISE AI-native CRM layer MoxiWorks founded 2016 / RISE AI launched 2025 RISMedia 2026 Real Estate Tech Leader; rolling out nationwide in 2026 Moderate (MoxiWorks brand); RISE AI itself is low
Zillow Pro Agent productivity suite Launched October 2025 Follow Up Boss (Zillow-owned) sent 7M+ smart messages in 2025; nationwide rollout targeted mid-2026 High for Zillow brand; Low for Zillow Pro specifically
Compass One Agent-client platform Launched early 2025 / Anywhere merger January 2026 370,000 client activations in 2025; 340,000 Anywhere agents targeted for migration Moderate — Compass brand is strong; One platform underrepresented
Lone Wolf Transact Transaction management Formerly TransactionDesk / rebranded 2024–2025 New CEO Matt Fischer appointed February 2026; LW Pay launched May 2025; ~$161M annual revenue Low-Moderate (brand fragmentation issue)
SkySlope Transaction management Founded 2011 Serves 400,000+ real estate professionals; SkySlope Forms + DigiSign integrated Moderate — lower than Dotloop despite comparable scale

The most striking finding from this table: there is no correlation between market share and AI visibility in the PropTech software category. SkySlope serves over 400,000 professionals but gets mentioned far less often than Dotloop. Rechat is actively shipping product faster than almost any competitor in April 2026 but remains low-visibility in AI responses. MoxiWorks is named a 2026 tech leader by RISMedia but is referenced in less than a quarter of all-in-one platform queries to AI chatbots.

What actually works: the AI-visibility playbook for a PropTech SaaS vendor

If you run a PropTech product and your AI mention rate is lower than your actual market share warrants, the gap is real, measurable, and closable. Here is what moves the needle:

1. Claim and fully populate your G2 and Capterra profiles

These are among the highest-weight sources for AI training on software categories. A G2 profile with 50+ verified reviews, current pricing, up-to-date feature lists, and category tags for every relevant use case (real estate CRM, transaction management, brokerage back office) dramatically increases your surface area in AI training data. If your profile still references a product name you rebranded away from in 2023, fix it now.

2. Publish structured comparison content at scale

The content AI recommends is the content that answers questions directly. For PropTech, this means: “SkySlope vs. Dotloop: a 2026 comparison for New York brokerages,” “kvCORE pricing for teams of 20–50 agents,” “Rechat vs. MoxiWorks: feature comparison for independent brokerages.” These articles must include real numbers, named features, and dated updates. Generic feature lists with no comparative data are invisible to AI.

3. Get named in industry media that AI indexes

Inman, HousingWire, RISMedia, and The Close are heavily indexed by AI systems. A single product mention in a HousingWire article with real data points carries more AI weight than 10 pages of marketing copy on your own website. Earned media in these outlets is not optional for AI visibility — it is the primary mechanism.

4. Build a public Reddit and forum presence

AI systems heavily weight community discussions. r/RealEstate, r/realtors, BiggerPockets forums, and REBNY-adjacent industry discussions are all indexed and weighted. If your product has no organic community discussion on public forums, it has almost no AI presence in the “agent recommendations” layer. Authentic community engagement — not astroturfing — in these spaces compounds into meaningful AI citation.

5. Use structured data markup on every comparison and pricing page

Implement SoftwareApplication schema, FAQPage schema, and HowTo schema on your product pages. Structured data improves AI extraction accuracy and increases the probability that your specific claims (price points, features, integrations) are accurately represented when AI does mention you.

6. Audit your AI representation quarterly

AI chatbot training cutoffs mean your representation today reflects what was written about you 6–18 months ago. If you launched a major product update, completed a rebrand, or changed pricing in 2025, there is a good chance AI is still describing your 2024 product. Running a structured AI audit — using a tool like Metricus or manually across ChatGPT, Perplexity, Claude, and Gemini — identifies the exact errors and the sources driving them.

Action Primary Channel Estimated Timeline to AI Impact Expected Impact
Audit AI responses (baseline) Metricus report or manual Immediate Identifies errors and gaps
Update G2 / Capterra profiles Review platforms 3–6 months (next training cycle) High — fixes category classification
Publish comparison articles with data Own site + syndication 3–9 months Very high — direct citation potential
Earn mentions in Inman / HousingWire Earned media 3–12 months Very high — authority signal
Build forum presence (Reddit, BiggerPockets) Community 6–18 months (compound) High — agent-recommendation layer
Add structured data markup Own site (dev task) 1–3 months Moderate — improves accuracy
Quarterly AI re-audit Metricus or manual Ongoing Catches drift and new errors

The case for auditing your PropTech brand’s AI visibility now

The PropTech market in 2026 is bifurcated. A small cohort of infrastructure-grade platforms — Compass One, MoxiWorks, Zillow Pro, Dotloop — are compounding their AI visibility through years of accumulated press coverage, reviews, and public content. A longer tail of operationally capable products — Rechat, SkySlope, Lone Wolf Transact, BoomTown, Sierra Interactive, Lofty — are effectively invisible in AI-generated software recommendations despite meaningful market presence.

The $16.7 billion PropTech investment wave of 2025 produced a capital-intensive, strategically concentrated market where investors are rewarding companies with defensible distribution, embedded integrations, and strong data loops (Commercial Observer, 2026). AI-generated recommendations are rapidly becoming a distribution channel as significant as conference attendance or industry media placement. Brokerages and agents use AI to shortlist vendors before demos. Buyers of PropTech software use AI to understand the category before they talk to a sales rep.

For a PropTech SaaS product targeting NYC brokerages in 2026, being invisible in AI means being invisible in an increasing share of the earliest and most consequential moments in the buying journey. That is not a theoretical future problem. It is a current revenue problem, measurable today.

The window is open now. Because most PropTech vendors have not yet invested in AI visibility, the products that move first have a disproportionate advantage. The comparison articles you publish today enter the training data shaping AI recommendations in 2027. The G2 reviews you collect this quarter are the citations AI uses next year. Early movers in AI visibility compound. Late movers pay to catch up.

This article gives you the landscape. A Metricus report gives you the specific AI representation of your PropTech product across every major AI platform — exact quotes, errors with source maps, and a prioritized action plan. One-time purchase from $99. No subscription required.

Sources: Commercial Observer / Multifamily Dive PropTech funding data (2026); Rechat 2026 State of AI & Real Estate Marketing Report; Rechat AI Memo launch (April 8, 2026, Inman / RISMedia); Compass – Anywhere Real Estate merger announcement (January 9, 2026, Compass investor relations); Compass One 2025 usage data (Compass press release, 2026); Zillow Pro launch (October 2025, Zillow investor relations); Zillow ShowingTime market share data (Zillow investor relations); OneKey MLS December 2025 market statistics (corporate.onekeymls.com); REBNY RLS overview (rebny.com); Lone Wolf CEO appointment (February 2026, HousingWire); Lone Wolf LW Pay launch (May 2025); LionDesk discontinuation and Lone Wolf Relationships migration (AgentMarketingEssentials, 2025–2026); MoxiWorks RISE AI and RISMedia 2026 Tech Leader designation (moxiworks.com); kvCORE / BoldTrail pricing (ITQlick, June 2025); Princeton/Georgia Tech GEO study (Aggarwal et al., 2023); Metricus AI mention rate testing across ChatGPT, Perplexity, Claude, and Gemini (2026). Learn more about how we measure AI visibility.

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