AI visibility for Real Estate
Be the cited expert when buyers and renters ask AI
Buyers ask AI about neighbourhoods, mortgage rates, and 'is [suburb] a good investment?'. Agents and agencies get cited when their content answers those questions with structured, current data. Citedly's free GEO report covers the market and buyer-intent prompts in your coverage areas so you know when your expertise is the answer AI gives.
The prompts your customers actually ask
These are the question patterns that drive AI recommendations in real estate. Track them and you'll see exactly when you're in the answer — and when you're not.
- Is [suburb/area] a good place to buy?
- Best real estate agent in [city] for [need]
- What's the market like in [area] right now?
- First home buyer — what do I need to know in [country]?
How Citedly works for Real Estate
- 1Audit. The free deterministic audit checks the factors engines rely on in real estate — llms.txt, schema.org, entity consistency, crawlability and content structure. No AI cost.
- 2Track. Paid plans run your real estate prompt set across ChatGPT, Perplexity, Gemini and Claude daily, recording mention, citation, position and sentiment per answer.
- 3Win. Watch share of voice against the competitors you name, get alerted when your position drops, and prove the lift with reports.
Real Estate FAQ
Do AI engines recommend real estate agents?
Yes, for agent and area questions. Citedly's free GEO report covers both: agent-recommendation signals and market-question signals where your content can be cited as the source.
What content gets cited for market questions?
Fresh, structured market insights — area guides, price trends, buyer checklists. Engines prefer specific, dated, well-organised content over generic listings.
Can I track multiple suburbs or branches?
Yes — run the free GEO report on each branch or market area domain. Citedly's tools are free and require no signup, so you can check as many locations as you need.
See where your real estate brand stands
Run the free audit on your domain, or generate a spec-compliant llms.txt in 30 seconds.