Buyer-intent SEO & location pages
Programmatic SEO for residential and CRE buyer intent — location pages, building-type pages, investment-style pages. AEO optimization for the answer engines PropTech buyers now use.
We run marketing and AI automation for PropTech platforms and real-estate operators — residential SaaS, CRE platforms, and the teams managing portfolios in Singapore and the US. SEO, content, and brand for buyer and tenant intent; listing, tenant, and deal-desk AI for the operational team behind it.
Everyone has a ChatGPT-powered listing-description tool and an ABM agency telling them to target 'landlords.' The winning operators build deeper: buyer-intent SEO that captures the search, tenant-communication copilots that handle 60% of maintenance triage, and a deal-desk agent that screens acquisitions against an actual investment thesis.
Our PropTech work has shipped into residential platforms, CRE leasing workflows, and property-management stacks across Singapore and the US mid-market.
Finyki is remote-first, with teams across Singapore and the United States — ideal for PropTech platforms selling cross-market, and for operators running portfolios across APAC and North America.
Every engagement targets a buyer-search shape and an operational workflow — we ship both.
Programmatic SEO for residential and CRE buyer intent — location pages, building-type pages, investment-style pages. AEO optimization for the answer engines PropTech buyers now use.
Multi-persona programs reaching the actual PropTech buyer — landlord ops, broker principals, investment managers. LinkedIn, paid, and partnership-led depending on the target.
Marketing sites with live inventory, interactive maps, calculator tools, and programmatic landing pages. Built to convert across a fragmented buyer journey.
Listing generation, comparable-sale analysis, and market-report drafting that respects your voice and actually uses your comp data — not a scraped national database.
Maintenance-request triage, lease-renewal messaging, and tenant-FAQ copilots that resolve 60% of incoming queries without a human — with the other 40% routed with context.
Deal-screening agents that pre-score acquisition targets against your investment thesis, plus underwriting copilots that draft memos against your model and precedent deals.
The model hallucinated a comp. The campaign targeted 'landlords.' A listing analysis that cites a nonexistent sale is a credibility event. Generic landlord targeting with no property-type or operator-scale segmentation converts nothing. Both fail for the same reason — no real data in the loop.
Tenant data leaked into a prompt. PDPA or state privacy laws don't stop at the landing page. We design access controls on tenant and lease data as a first-class constraint — not a post-hoc filter.
Nobody owned the broker experience. An AI surface or marketing asset the broker has to remember to use is one they don't use. We build inside the CRM and listing platforms they already open.
The demo hid the MLS integration. The SEO hid the licensing. Real-estate data is fragmented and litigious. MLS (US) or URA / HDB (SG) integration is the actual work; we don't skip it. Same for the content licensing behind property images.
Built the maintenance-triage copilot running across a 4000-unit portfolio, plus the programmatic SEO program driving 58% of net-new tenant inquiries. 58% of tenant messages resolved without human routing.
Shipped the deal-screening agent pre-scoring acquisitions against the client's thesis, alongside the named-investor ABM program that generated qualified partnership conversations.
Week 0 — Scoping call (free). Forty-five minutes on your call, not ours. You describe the workflow that's bleeding time, the demand program that's plateaued, or the system that's stuck. We tell you which lever is the right first move, and roughly what shape the engagement would take.
Week 1 — Written scope. A one-page scope with the specific agent, workflow, or marketing program, the success metrics, the eval or measurement plan, and the cost. No 60-slide proposal.
Weeks 2–6 — Build. You see working output by the end of week 2, iterated weekly. Evals, analytics, or campaigns run against real production data from week 3. Your team joins the build reviews.
Week 6+ — Handover & operate. Full documentation ships to your repo, your CRM, your ad accounts. Your team runs it. We stay on for operate-and-improve retainer if you want us — many clients keep us for 18+ months. Many don't. Both are fine.
Yes. Buyer-intent SEO, ABM, and marketing sites on one side; listing, tenant, and deal-desk AI on the other. Most PropTech clients need both, priced together.
MLS-adjacent for US; URA, HDB, and listing portals for SG. We build integration as a first-class data source, with licensing reviewed with your legal team before data flows.
PDPA (SG) and state-specific privacy laws (US) scoped at kickoff. Tenant-identifying data is minimized, access-controlled, and audit-logged.
AVMs are well-established; we integrate existing providers or build custom models on your data. Autonomous pricing for client listings is rare — most clients want a copilot that drafts a range, not a black box that sets the number.
Different stacks, different economics, different regulatory surfaces. We scope them separately — the overlap is smaller than it looks.
Both. About 60% of our PropTech work is platform companies; 40% is direct operators (brokerages, PM firms, REIT platforms).
First production AI system: 6–10 weeks. Tenant-facing copilots: 8–12 weeks. Marketing programs ship in parallel — first programmatic pages in 3–4 weeks.
Forty-five minutes, your agenda, no slides. You'll leave with a clear read on what the right first move is for your PropTech team — and a rough shape for the first engagement if it is.