01 · Audit · real estate

AI Visibility Audit for Real Estate & Luxury

Diagnose how ChatGPT, Gemini, Perplexity, Copilot and Google AI Mode describe, cite, ignore or misrepresent your brand.

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.

An international real-estate agency in Madrid notices buyers from London and Frankfurt arriving with property shortlists they say 'came from ChatGPT'. The AI Visibility Audit runs the buyer-side prompts that produce those shortlists — neighborhood comparisons, agency reputation queries, legal-process explainers — and shows which agencies and listings AI cites for each. Where the brand should appear and doesn't, the audit maps the underlying sources (publications, listing portals, city guides) that need to be in scope before AI starts naming you in million-euro searches.

Buyer prompts

The questions they're
asking right now.

Prompt 01

“best real estate agencies in Madrid for international buyers”

Prompt 02

“is Salamanca a good neighborhood for a family with school-age kids”

Prompt 03

“how does buying a property as a non-resident in Spain work”

Priorities

What matters
in this industry.

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.
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.
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.

01
Per-engine citation table on 30 buyer-shaped prompts vs 5 named competitor agencies
02
Listings-portal coverage map (Idealista vs Knight Frank vs agency direct) showing where AI sources properties
03
Neighborhood and city-guide gap analysis showing which location entities the brand owns vs is invisible to

Sources we tune for

Where the citations
actually come from.

IdealistaKnight FrankEngel & VölkersForbes 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.

01 · Audit