Cost per viewing, not cost per click.

• 01

  Listing content at scale

  Descriptions, locality summaries and portal variants generated from structured property data, constrained to claims the data supports.

• 02

  Locality and project landing pages

  Programmatic pages per locality and project built on real inventory and amenity data, with the schema and internal linking that get them indexed.

• 03

  Attribution through to closing

  Portal, paid and organic spend joined to booked viewings and closed deals rather than form fills.

• 01

  The agent qualifies; a human sells

  It captures requirements, answers factual questions from the listing, and books the viewing. Negotiation and advice stay with a licensed agent — in most markets that's a legal boundary as well as a good idea.

• 02

  Listing data is read live

  Availability, price and status come from your CRM at query time. Advertising a property that went under offer yesterday is a complaint, not a lead.

• 03

  Consent and channel rules are built in

  Opt-outs are honoured across channels and quiet hours are respected — WhatsApp and telecom rules in India and the EU both make this a compliance matter, not a courtesy.

1. 1

   Audit

   We baseline your CAC, LTV, attribution, and existing AI usage. Identify the 3 levers with the biggest near-term ROI.

2. 2

   Instrument

   Server-side tracking, multi-touch attribution model, AI-friendly content schema. So every dollar can be traced to a conversion.

3. 3

   Activate

   AI media buying across Google / Meta / X / programmatic. AEO content for ChatGPT / Perplexity / Claude search. CRM automation in Gmail + WhatsApp.

4. 4

   Optimize

   Weekly experiment cycles with budget reallocation, audience refresh, creative testing. AI never reallocates over set guardrails without sign-off.

5. 5

   Compound

   Monthly board-ready dashboards. Predictive ROI, churn prediction, LTV cohorts. Growth becomes a system, not a scramble.

• Salesforce & HubSpot
• Zoho CRM
• MagicBricks, 99acres & Housing feeds
• WhatsApp Business API
• Twilio voice
• Calendly & Google Calendar
• DocuSign

FAQ

AI growth marketing for real estate: your questions.

• Is generated listing copy a legal risk?

  It is if it invents amenities or overstates area. Claims are constrained to your structured property data and checked before publish — which is also what keeps you clear of RERA and advertising-standards trouble.

• How does this compare to just buying more portal leads?

  Portal leads are rented; organic and lifecycle assets are owned. Most clients do both, and the honest reason to build the second is that the first gets more expensive every year.

• Why bundle these instead of hiring a paid-ads agency, an SEO agency, and a CRM consultant separately?

  Because the data is shared. When media buying knows what CRM lifecycle a lead is in, both perform 30–50% better. Most agencies can't bridge those silos because they're optimized for one channel.

• What's Answer Engine Optimization?

  Getting your business cited when users ask AI tools (ChatGPT, Perplexity, Claude search, Google AI Overviews) for recommendations. It replaces a chunk of traditional SEO traffic. We do it with structured content, schema, and llms.txt — never prompt injection.

• AI agents for real estate lead responseAgents that respond to portal and website leads instantly across WhatsApp, voice and email — qualifying against your criteria and booking the viewing into a real calendar.Read
• RAG for leases and property documentsRetrieval across leases, society bye-laws, title documents and listing packs — returning the clause, the document and the date rather than a summary you can't verify.Read

• AI growth marketing for e-commerceServer-side tracking, margin-aware attribution and AI-assisted creative and lifecycle production — reported per SKU after returns and shipping.Read
• AI growth marketing for SaaSContent and lifecycle systems that produce pages worth indexing, with attribution joined to activation and revenue rather than form fills.Read