The context

Search engines are no longer the only entry point

For twenty years, being visible online meant ranking well on Google. SEO (Search Engine Optimisation) organised access to information: a professional asked a question, Google returned a list of links, the professional chose where to click.

That model is shifting. AI answer engines — ChatGPT, Perplexity, Gemini, Claude, Copilot — answer the question directly, with no list of links. They synthesise, cite a handful of sources, and produce a finished answer. For the user, the search stops there.

In 2025, Perplexity handled more than 100 million queries a day. ChatGPT Search, launched in late 2024, captures a growing share of informational queries. None of that traffic passes through traditional Google results pages.

For real estate professionals, this means a growing share of their potential clients — buyers, investors, companies looking for a property manager or a surveyor — get their first answers from a generative AI. If you are not cited in those answers, you do not exist in that channel.

What GEO changes

GEO: optimising your visibility inside AI answers

GEO — Generative Engine Optimisation — is the discipline of optimising how your brand, your expertise and your content appear in the answers produced by language models. The goal: being cited, referenced or recommended when an AI answers a question in your field.

GEO is not SEO under a new name. AI engines do not work the way Google does: they do not read meta tags, and they do not rank pages by PageRank. They were trained on corpora, some of them retrieve sources in real time, and they build their answers from a different set of authority and relevance signals.

SEO
Optimising for Google
Tags, backlinks, page speed, keyword rankings. The outcome: a position in a list of links.
GEO
Optimising for AI
Content authority, structured data, citations in reference corpora. The outcome: being named inside a synthesised answer.

Why it matters here

Why this is critical for real estate

Real estate is a sector where trust and expertise are decisive. A buyer looking for a notary, an investor assessing an asset manager, a company selecting a property manager — all of them ask qualitative questions that generative AI answers better and better.

A few real queries put to generative AI in the real estate field:

Agencies
“Which estate agency should I use to sell a flat in Paris?”
ChatGPT cites the agencies whose content and structured reviews are most present in its sources.
Notarial
“What are the risks of an off-plan purchase in 2025?”
Perplexity synthesises legal expertise. Notaries who publish structured content show up.
Asset Mgmt
“How do I calculate the internal rate of return on a property asset?”
Firms whose methodologies are documented and cited online are referenced in the answer.
Surveying
“Which property surveys are mandatory for a sale in 2025?”
Surveyors who maintain up-to-date guides are cited as sources by AI engines.

Companies investing in GEO today are building a structural lead. AI models memorise — or draw on — authoritative sources. Being present early in those corpora is a durable advantage.

The levers

How AI decides who to cite

Language models build their answers from several signals. Understanding those signals is understanding what to act on.

01
Content authority
Publish content that carries authority on precise topics within your field. Not general blog posts — reference guides, analyses, documented methodologies.
02
Semantic structure
Structured data (Schema.org), FAQs, definitions, clearly identified named entities. AI handles well-structured content far better than dense blocks of text.
03
External citations and mentions
Being mentioned, cited or referenced by third-party sources (trade press, professional directories, associations) raises the odds of being included in AI answers.
04
Freshness and precision
AI favours precise, current content. A page on “2025 energy performance obligations” written in January 2025 beats a general article from 2022.
05
Presence on indexed platforms
Wikipedia, LinkedIn and the trade press are massively indexed by LLMs. Your presence on those platforms counts.

Our approach

How Optai supports your GEO strategy

GEO plays out differently depending on your profession, your audience and the questions your clients put to AI. Optai structures the work in three stages.

01
AI visibility audit
We map the queries relevant to your field across ChatGPT, Perplexity and Gemini. We identify who gets cited, on which topics, and with what authority. That is your GEO baseline.
02
GEO content strategy
We identify the topics on which you can build differentiating authority. We produce or restructure the content to GEO standards: structure, entities, precision, freshness.
03
Deployment and measurement
We ship the content, structure your data (Schema.org, structured FAQs) and develop external mentions. We track how your citations in AI answers evolve, month by month.

Assess your AI visibility in 30 minutes

We audit how you are currently cited in ChatGPT, Perplexity and Gemini on the key queries of your field, and walk you through the levers for improvement. No commitment.

Book a GEO audit →Write to us