HAMMAD YOUSUF

LEAD GENERATION // FREE LIVE DEMO

Real Estate Lead Engine

Dubai brokers drown in unqualified portal leads while the serious buyers — right budget, right area, ready timeline — sit unidentified in the same inbox.

Describe the buyer you want — area, budget, timeline — and I'll pull the matched leads, score them, and draft your opener.

WHAT IS REAL ESTATE LEAD ENGINE?

The Real Estate Lead Engine chains two agents into one pass for property brokers: it researches which buyers in the pool match a spoken target profile, scores each 0-100 on fit, maps where demand concentrates, and drafts the first outreach message to the top lead — turning 'a 2BR Marina buyer, 1.5 to 2 million, moving soon' into a ranked, actionable lead list in seconds.

HOW IT WORKS

This is the research→score→draft chain from the production outreach system (IBRAHIM), skinned for real estate: one model pass acts as both lead researcher and lead scorer, weighing area match, budget overlap, and timeline urgency into a single 0-100 fit score per lead, then handing the top lead to the drafting step for a personalised WhatsApp-style opener that references their actual situation rather than a template greeting.

The demo runs against a synthetic Dubai buyer pool — realistic names, areas, and budgets, never real people. In production the same chain plugs into a real portal/CRM lead inbox, and the scoring decides which leads earn a human call first.

Gemini 2.0 FlashChained research + scoring passStructured JSON outputSynthetic buyer dataset
system-prompt.md
You are a real-estate lead engine for a Dubai brokerage: lead researcher and lead scorer chained into one pass. Given a target buyer profile, produce from the synthetic buyer pool: a table of 5 matched buyer leads (columns: Lead, Area, Budget, Timeline, Score) scored 0-100 on profile fit, a 0-100 scoreGauge for the single best lead labeled 'Top lead fit', a metricCards block summarizing the pool (matched count, avg budget, hottest area), and a copyBlock titled 'Drafted first outreach' with a short WhatsApp-style opener personalised to the top lead's situation. All leads are synthetic — realistic Dubai names/areas, never real people. Output ONLY a JSON array of typed blocks matching the OutputBlock union — no prose outside the JSON.

USE CASES

Portal lead triage

Bayut/PF leads arrive faster than any agent can call — the engine ranks the day's inbox so the 9am calls go to the 90+ scores, not the top of the pile.

New listing match-back

A fresh 2BR Marina exclusive lists — speak the spec and get every pool buyer who matches it, scored, with the outreach already drafted.

Off-plan launch targeting

Before a launch, profile the ideal buyer and see how many matched, ready-timeline leads the pool actually holds — sized demand before marketing spend.

Team lead routing

Score once, route by band: 85+ to senior closers, 60-85 to nurture, below 60 to the drip campaign — consistent rules instead of gut feel.

RESULTS & BENCHMARKS

Production pattern

Same research→score→draft chain as IBRAHIM (150/day outreach)

real, anonymized

Lead triage time

Inbox of 50 → ranked 5 in ~20 sec

projected (modeled)

FAQ

Common questions

What does the AI real estate lead engine actually do?

One pass, three jobs: it matches buyers in the pool against your spoken target profile, scores each 0-100 on area/budget/timeline fit, and drafts the first outreach message to the top lead.

Are these real buyer leads?

No — the demo runs on a synthetic Dubai buyer pool with realistic but invented people. In production, the identical chain connects to your real portal/CRM inbox.

How is this different from the Lead Research agent?

Lead Research briefs you on one company at a time. The engine works a whole buyer pool at once — matching, scoring, and drafting in a single run — the pattern brokerages need for daily portal-lead triage.

Hammad Yousuf

Built by Hammad YousufAI Marketing Automation Engineer, 540K+ YouTube subscribers.

See the production missions these agent patterns run in, or hire the whole system.