Trusted by brands worldwide
Abby qualifies investor enquiries, tenant interest, and acquisition leads 24/7. Outbound to landlords, sellers, and acquirers runs continuously. Live in 7 days.
Trusted by brands worldwide
Hot enquiries on prime listings die overnight. The investor who emails at 11pm gets a reply at 9am from your office and a reply at 11:03pm from a competitor. They book with the competitor.
Your CRM is a swamp of dead leads. Investor preferences, sector interest, deal size, urgency: noted in a spreadsheet nobody updates. By the time the right listing comes through, you've forgotten which investor wanted it.
Outbound to landlords, sellers, and acquirers is whoever has 30 minutes free. Some brokers prospect heavily, most don't. Growth is uneven and depends on a handful of partners who actually pick up the phone.
Every enquiry gets a personalised response in your firm's voice within 5 seconds, with the right listing details, comparables, and a booked viewing or call.
The CRM scores every investor, tenant, and seller against active and pipeline listings. New listings auto-match to ranked contacts so you call the right person first.
Outbound to landlords, sellers, and acquirers runs continuously with personalised intros referencing portfolio holdings and recent transactions.
No. AI replaces the response, qualification, and outbound layer. The relationship work, negotiation, and judgement calls stay with humans. Brokers who use AI well spend more time with serious buyers and less time on admin. Brokers who don’t use AI compete on response time and lose to those who do.
Industry research from CBRE consistently identifies broker productivity (not technology) as the leading indicator of firm growth. AI is a force multiplier on broker time, not a replacement for it.
Three layers. First, Abby monitors inbound enquiries and matches every interested investor or tenant to your active and pipeline listings in real-time. Second, the outbound engine identifies landlords with portfolio holdings matching your active mandates and runs personalised outreach. Third, the content engine publishes market commentary in your firm’s voice across 15 platforms.
The result for most property firms is 2-4 net new mandates per quarter from outbound, plus 30-50% more viewings booked from inbound. Data from CoStar and Knight Frank Research feeds the targeting layer so outbound references specific portfolio holdings rather than generic firmographic data.
Use specialist commercial real estate platforms (ARGUS, Apto, CoStar) for underwriting and comparables analysis. They’re built for the clinical work. The Agency stack handles the sales layer (response, qualification, outbound, content) and integrates with your existing real estate platforms via API or webhook. You keep ARGUS for the maths, we add the lead conversion.
The wrong move is forcing one tool to do both. Real estate-specific platforms are weak on sales automation, and generic AI sales platforms don’t understand sector terminology or deal stages.
Outbound at scale to portfolio landlords, off-market sellers, and active investors in your target sectors. Abby identifies the right contacts using firmographic and portfolio data, references specifics in the opening message (recent deal, neighbouring transaction, market shift), and runs a 5-7 touch cadence over 60 days. Reply rates on our property clients run 8-15% versus the industry-typical 1-2% for generic outbound.
The volume gets to 300-500 ICP-matched prospects per month on the Outbound tier. On the Full Stack tier, that scales to 1,000+ with the addition of AI calling agents for the harder-to-reach landlords.
In two specific places: response time on inbound (from hours to seconds) and follow-up consistency on active deals (from “when the broker remembers” to automated daily nudges with the right context). Both are speed advantages that compound. Faster response means more inbound conversion. Better follow-up means fewer deals stalling.
What AI does not speed up: due diligence, negotiation, valuation, and the human side of trust-building. Those still take the time they take. The Agency stack speeds up everything around the deal so your brokers spend more of their time on the parts that actually close it.
RICS (Royal Institution of Chartered Surveyors) sets the global standard for property professional conduct. The relevant principles for AI-led marketing: factual claims only, valuation work by qualified surveyors only, no conflicts of interest, transparent fee disclosure. The Agency stack configures Abby to respect all four by default. Valuation questions route to your qualified surveyors. Fee disclosure happens at the booking stage. Conflict-of-interest flags are tagged in the CRM for partner review.
For US firms, the equivalent professional body (Counselors of Real Estate, Institute of Real Estate Management) operates similar principles.
The Agency stack sits on top of your existing real estate platforms, not in place of them. ARGUS, Apto, Reapit, and similar platforms remain your deal-management layer. CoStar remains your data source for comparables and market analytics. Abby and the CRM handle conversation, qualification, and outbound. Integration happens via API or webhook where available.
This non-invasive integration is why most property firms can adopt the AI sales layer without disrupting their delivery operations.
Per Savills Research and CBRE Insights, 2026 commercial property markets are showing two clear trends: the post-Covid recovery in office assets continues unevenly, with prime well-located stock outperforming secondary; and industrial and logistics remain the strongest-performing sectors globally, supported by sustained e-commerce demand and reshoring. Investment volumes are rising in Europe and the UK off a low 2024 base.
For boutique and mid-market brokers, this means the deal flow is there but uneven. Firms with strong outbound capability are winning disproportionate share of the recovery volume.
The Agency stack starts at $1,000/mo for Inbound, $2,500/mo for Outbound, and $8,000/mo for Full Stack. For a 10-broker firm doing £3m in fees, the Outbound tier is roughly 1% of annual fees. The ROI is calibrated in new mandate wins: a single new mandate at £50k-£150k in fees pays back the annual investment 10-25x over.
Book a discovery call. We walk through your sector mix, your listing pipeline, and the three biggest leaks in your current enquiry flow. If The Agency is a fit, you see a live demo built on a sample property firm so you know exactly what your system will look like. Full payment starts the build. Live in 7 days.
€40K to €90K monthly revenue, doubled in 6 months
6-year client
Outbound to landlords with portfolio holdings matching your active mandates. Abby identifies the right contacts via CoStar and Knight Frank data, references their specific portfolio, and asks about renewal dates. Reply rates run 8-15% on our property clients.
Three layers: warm referrals from existing clients, content-led inbound for owner-occupiers, and personalised outbound for portfolio landlords. The Agency stack runs all three. Most firms see 2-4 net new mandates per quarter.
Personalised email + LinkedIn outbound that references the prospect's existing holdings and recent activity. Cold calling produces 1-2% conversion. Researched personalised outbound at scale produces 8-15% on our property clients.
Three sources, in order: existing client referrals (highest LTV), warm outbound to portfolio landlords (largest volume), and inbound from local SEO + content (steadiest stream). Combine all three and growth becomes predictable.
Show specific knowledge of the prospect's market or portfolio in the first message. Abby pulls a unique fact (recent transaction, market shift, neighbouring deal) for each outbound. Generic intros get ignored, specific ones get replies.
Most growing property firms spend 5-8% of fees on marketing per RICS benchmarks. For a £3m firm that's £150-240k per year. The Agency stack at Outbound tier is £30k per year and replaces the volume layer of that budget.
Until they say yes or no clearly. Most warm property leads close within 90 days but with 5-8 touches. Abby handles the cadence automatically: day 1, 3, 7, 14, 30, 60, 90 with relevant context each time.
Independent sources cited in this analysis. Verifiable and updated.
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