AmuraAMURA Marketing
03 · Optimization · real estate

GEO · AEO · LLMO for Real Estate & Luxury

We optimise content, structure, data, FAQs, comparisons and key pages for generative answers.

Industry focus
Real Estate & Luxury

For companies competing for international clients, high-value local search and brand authority across premium markets.

Focus areas
BrokersDevelopersProperty mgmtInvestmentBranded residences
How this plays here

What this engagement
actually does for this buyer.

A premium real-estate agency's listings are gorgeous but invisible to AI shortlist generation. GEO · AEO · LLMO restructures the listing template (RealEstateAgent + Place + Residence schema, location entity hooks, school and transit micro-data), the neighborhood guide layer (city and neighborhood pages with citation-quotable structure), and the comparison surfaces buyers actually use. We optimise for 'is X neighborhood good for Y kind of buyer' prompts in addition to listing-level queries — because that's where the AI-mediated funnel actually starts.

Buyer prompts

The questions they're
asking right now.

Prompt 01

best neighborhoods in Madrid for a family of 4 with school-age kids

Prompt 02

premium real estate agencies in Marbella that speak German

Prompt 03

compare buying a flat in Salamanca vs Chamberí for a 35-year-old single buyer

Priorities

What matters
in this industry.

  1. 01

    Surface in international buyer queries

    Show up in 'best places to invest in Mallorca', 'moving to Madrid', 'reputable agencies in Y country' — the searches premium buyers run before contacting anyone.

  2. 02

    Own premium-market authority

    Buyers comparing million-euro listings expect a brand that AI has seen in Forbes, Business Insider or Architectural Digest — not just on its own website.

  3. 03

    Win the local + global match

    AI cross-references the city, the neighborhood, the school district, the legal process. Brands that own the location entity also own the buyer.

Buyer journey

How buyers
actually research.

International buyers research properties in cities they may have never visited, often in a language that isn't theirs. They ask AI 'is X neighborhood good for families', 'what's the buying process in Y', 'who are the trusted agencies in Z'. AI summarizes from public information, broker websites, press, and reviews. If the summary doesn't include your name, you're invisible to a buyer with an eight-figure budget.

Trust signals

What AI engines
are reading.

  • 01

    Authority on locations: city guides, neighborhood pages, school and transit data

  • 02

    Reviews and press in real-estate publications, plus international media

  • 03

    RealEstateAgent, Place and Residence schema with consistent NAP and listings

  • 04

    Multilingual presence — one brand, one entity, every language a buyer thinks in

Deliverables

What you get
specifically here.

  1. 01

    Listing template with RealEstateAgent, Place and Residence schema rendered cleanly per property

  2. 02

    City and neighborhood content layer engineered for AI quoting (school data, transit, average price)

  3. 03

    Multilingual entity unification across 5 languages with citation-rate measurement per market

Sources we tune for

Where the citations
actually come from.

IdealistaZillowKnight FrankForbes Real EstateArchitectural Digest
Multilingual shape

International buyers in this vertical research in their own language. Hitting parity across the 3-5 languages that actually buy isn't a translation pass — it's its own entity, source-pool and citation-rate workstream per market.

Service context

How this engagement
fits the sector.

03 · Optimization

GEO · AEO · LLMO

We optimise content, structure, data, FAQs, comparisons and key pages for generative answers.

+40% typical lift
Request audit
AI Visibility Audit

Do you know what AI
says about you?

Request an audit and discover how your brand appears when customers, partners and investors ask AI for solutions, recommendations, comparisons or vendors in your category.

Includes
  • 01Analysis across ChatGPT, Gemini, Perplexity, Copilot and Google AI Mode
  • 02Real comparison with your main competitors
  • 03Citations, mentions and source review
  • 04Detection of errors and incomplete information
  • 05Content and authority opportunities
  • 06Executive 30 / 60 / 90 day roadmap