A performance-driven platform for international property investors, built around a technical SEO foundation, a segmented Meta Ads funnel and an AI qualification layer that replies before the buyer's attention moves elsewhere.
Role
AI Automation Architect & Growth Lead
Client
Expandify Real Estate
Location
Dubai, UAE
Focus
SEO · Meta Ads · AI Automation
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Organic traffic growth
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Avg. first response time
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Lower cost per lead
Overview
Project Overview
Expandify Real Estate connects international buyers with off-plan and resale property across the UAE. Their sales team was closing well once a conversation started, but the pipeline feeding those conversations was leaking: slow replies, thin search visibility and an ad funnel that couldn't tell a serious investor from a casual click.
The brief was to rebuild the digital foundation end to end — site, search, paid acquisition and lead handling — as one connected system rather than four separate vendors, so every inquiry could be answered in seconds and every marketing dollar could be measured against real consultations booked.
At a glance
IndustryReal estate & property investment
MarketUAE & international investors
EngagementEnd-to-end digital rebuild
ChannelsOrganic search, Meta Ads, WhatsApp
My Role
Owning the System, Not Just a Deliverable
I was engaged as the sole AI Automation Architect and growth lead on this project — responsible for the technical rebuild, the search strategy, the paid media funnel and the automation layer connecting them, plus the premium content produced for listings and market-insight pages.
Architected and built the Astro marketing site and its component system.
Defined the technical SEO strategy, information architecture and schema markup.
Planned and ran the Meta Ads funnel across all three acquisition tiers.
Designed the n8n and WhatsApp automation that qualifies and routes every lead.
Produced the listing photography briefs and market-insight content published on the site.
The Challenge
What Was Holding Growth Back
Slow, manual lead intake
Investor inquiries sat in a shared inbox for hours before anyone replied, and high-intent buyers were going cold or contacting competing agencies first.
Thin search visibility
The previous WordPress site had no technical SEO foundation, no schema markup and duplicate location pages, so it ranked below far smaller competitors for investor-intent keywords.
Unfiltered ad spend
Meta Ads were sending every click to a single generic form, mixing serious investors with window-shoppers and inflating the cost of every qualified lead.
Disconnected tools
Ads, the website, WhatsApp and the CRM had no shared data layer, so the sales team had no reliable way to see which channel a buyer actually came from.
The Strategy
Four Pillars, One Connected System
Rebuild on a technical SEO foundation
Migrate to Astro for near-instant page loads, restructure the site's information architecture, and implement schema markup built for real-estate search intent.
Segment paid acquisition by investor tier
Replace the single ad funnel with a three-stage structure — awareness, retargeting, lead-gen — matched to budget bands and investment readiness.
Automate the first response
Route every inbound inquiry through an AI qualification layer that replies on WhatsApp in seconds and hands the sales team a scored, tagged lead.
Publish a content system, not one-off pages
Produce templated location and market-insight pages so new inventory and new areas can be published without rebuilding the funnel each time.
The Process
From Audit to Ongoing Optimization
01
Discovery & audit
Audited the existing site, ad accounts and CRM to map every lead source, identify technical SEO gaps and quantify response-time losses.
02
Technical foundation
Rebuilt the site in Astro with a clean information architecture, structured data and a Core Web Vitals-first component system.
03
AI automation build
Designed the n8n workflows connecting WhatsApp, the CRM and OpenAI's API to qualify, tag and route leads without manual triage.
04
Paid acquisition launch
Launched the three-tier Meta Ads structure with distinct creative and copy for cold, warm and ready-to-talk audiences.
05
Content & SEO scaling
Rolled out templated location and market-insight pages, internal linking and ongoing keyword expansion.
06
Optimization & reporting
Built a Looker Studio dashboard pulling GA4, Meta Ads and CRM data into one view, then used it to run monthly optimization cycles.
Tech Stack
Technologies
AstroTypeScriptn8nOpenAI APIWhatsApp Business APIMeta Ads ManagerHubSpot CRMGoogle Analytics 4Search ConsoleSchema.orgLooker Studio
SEO
A Site Built to Rank, Not Just Load
The rebuild moved the site onto Astro for near-instant load times, replaced duplicate location pages with a single templated structure, and added RealEstateListing,Organization and FAQPage schema so search engines could understand listings the way buyers do.
Keyword research grouped investor-intent terms — by property type, budget tier and area — into clusters, each served by a page built for that specific search rather than a generic listings feed.
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Page-1 keywords (up from 12)
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Lighthouse performance score
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Organic traffic in 6 months
Performance Marketing
A Funnel That Matches Ad Spend to Intent
Instead of sending every click to one form, Meta Ads were restructured into three tiers: broad-interest awareness campaigns, carousel retargeting for people who viewed specific listings, and a lead-gen tier reserved for warm audiences already familiar with the brand.
Creative was tested on a weekly cadence across format, hook and offer, with underperforming ad sets cut early so spend concentrated on the combinations converting into booked consultations.
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Click-through rate after creative testing
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Lower cost per qualified lead
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Funnel tiers: awareness, retarget, lead-gen
AI Automation
The First Reply Now Takes Seconds
Every inbound inquiry — from the site, WhatsApp or an ad — triggers an n8n workflow that uses OpenAI's API to read the buyer's message, classify their intent and budget tier, and reply on WhatsApp immediately with a relevant next step.
Qualified conversations are tagged and pushed straight into the CRM with the classification attached, so the sales team opens each lead already knowing what the buyer wants instead of starting the conversation from zero.
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Average first response time
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Inquiries auto-qualified before handoff
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WhatsApp coverage, no missed inquiries
The Results
Six Months In
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Organic traffic growth
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Avg. first response time
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Lower cost per lead
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More qualified consultations
Gallery
A Look at the Build
Full screenshots are being prepared for publication as the platform continues to roll out new markets.
I build the same connected system — SEO, paid acquisition and AI automation — for other property and service businesses looking to turn traffic into qualified conversations.