Measurement & Reporting · 9 min read · July 15, 2026

Measuring mentions: Which AI queries surface your real-estate agency – and where competitors are ahead

When a seller asks ChatGPT "Which agent in Regensburg sells older apartments reputably?", visibility today is decided in the AI's answer text – not on page one of Google. Measuring mentions means systematically checking which queries surface your agency, in what context, and where competitors rank ahead of you.

Why mentions are the new currency for agents

You used to measure your visibility with a single number: your Google position for "agent + city". That world is disappearing right now. More and more owners and buyers ask their first question not in the search box, but of ChatGPT, Gemini, Perplexity or Google's AI overview. The answer is a finished piece of prose with two or three names spelled out – and everything below that effectively doesn't exist for the user.

For you as an agent this means: your visibility is no longer a ranking, it's a mention. Either the AI writes "An established contact for terraced houses in Freiburg-Vauban is agency XY" – or it doesn't. There is no in-between result on position seven that you can still find with a bit of scrolling. Mentioned or invisible, with little in between.

That's why measuring mentions isn't a gimmick, but the foundation of every honest GEO strategy. Anyone who doesn't know which queries they appear in is optimizing blind. Before you change a single sentence on your website, you need a baseline: where do you stand in the answers – and where do the others stand?

The right questions: how your customers really think

The most common mistake in measuring is testing the wrong queries. Hardly anyone types "real estate agent Munich" into ChatGPT. People talk to AI in full sentences and with their actual life situation: "I want to sell my inherited house in Nuremberg-Zabo, but I need someone who knows about communities of heirs." Those are exactly the questions you have to collect, not abstract keywords.

Build yourself a list from four types of question. First, recommendation questions: "Which agent do you recommend in Leipzig for apartment buildings?" Second, comparison questions: "Is Engel & Völkers or a local agent better for my condominium?" Third, problem questions: "Who do I turn to for a forced sale in Dortmund?" Fourth, process questions: "Who helps me with the sale and notarization of a semi-detached house in Potsdam?"

Every question needs variants with your location, your neighboring towns, your specializations and your property types. A solid starting list has 30 to 60 questions. This list is your measuring instrument – it stays stable over months so you can even compare changes. Don't keep changing the questions, or you'll measure noise instead of progress.

How to measure concretely: the mention check in five steps

Take your list of questions and ask each one in turn in at least three systems: ChatGPT, Google Gemini and Perplexity. Important: log out or use a fresh, non-personalized mode, otherwise your own search history distorts the result. You want to see what an unknown prospect sees, not what the AI shows you as a known agent.

For each answer, note four things in a simple table: Are you mentioned (yes/no)? In which position (first, middle, last)? In what tone (recommended, neutrally mentioned, only as an example)? And which competitors appear? These four columns are your entire cockpit. Perplexity also shows you the sources – look closely at which pages the AI cites, because those are the levers for your optimization.

Repeat the run once a month, always with the same list, ideally on the same weekday. AI answers fluctuate; a single snapshot says little. Only repetition reveals patterns: for which questions do you appear consistently, for which never, and where has something shifted after your measures? Record the date and the respective model as well, because updates can noticeably shift the results.

Where competitors are ahead – and why

If your neighboring agency is mentioned more often in the answers, it's rarely down to chance. Usually the competitor has three things that AI systems love: a large number of consistent reviews on Google and ImmoScout, editorial mentions in the local press, and a website that states clearly, in text, what they do. AI pulls its knowledge together from exactly such sources.

So analyze your competition not by gut feeling, but by findings. Ask the AI directly: "Why do you recommend agency XY for apartment sales in Cologne?" It often names the reasons – long market presence, many reviews, specialization in one district. That's honest, free feedback about your gaps. Note which unique selling point the competitors are credited with in the answers.

The honest part: some gaps you won't close in four weeks. An agency with 400 reviews and twenty years of press has a real head start. But you'll almost always find niches where nobody is strongly positioned – "agent for barrier-free apartments in Wuppertal" or "farm sales in the Allgäu". There you can become the named name, while the big players stay merely generic.

From measurement to improvement: what you do next

The measurement is worthless if you draw no consequences from it. Take the questions where you aren't mentioned and check: does the matching answer even exist anywhere in text form on your website? If the AI doesn't know your agency for "sell inherited house community of heirs Kassel", you probably have no clear page on this topic. That's exactly the page you then write – concrete, with location, problem and your approach.

Work on the sources AI draws from. Systematically ask satisfied sellers for Google reviews with concrete context ("sale of our apartment in Bogenhausen in six weeks"). Such detailed reviews are more valuable to AI than a bare star. Keep your entries on Google Business Profile, ImmoScout and industry directories absolutely consistent – same name, same address, same specializations everywhere.

After each measure you wait and measure again the following month. Is the mention moving? Sometimes it takes two or three cycles until models have taken up your new content. This patience is normal. What matters is the trend over six months, not the jump from one week to the next. That's how guessing turns into a controllable process.

Tools or manual work? An honest look

There are now specialized GEO monitoring services that automatically query your questions daily and evaluate mentions. For a single real-estate agency these tools are often oversized and expensive. The manual monthly check with 40 questions and a spreadsheet costs you maybe two hours – and in the process you understand far better how the AI talks about your market than any dashboard could ever convey.

If you want to automate, start small. A simple spreadsheet with a history column per month is entirely enough to get going. Only once you manage several locations or a larger team, and the effort becomes noticeable, does a paid tool pay off. Don't buy monitoring before you have measured manually for three months and understood what actually matters for you.

Whether tool or manual work: the value lies not in the measurement itself, but in the decisions afterward. An expensive dashboard that nobody derives measures from is money thrown away. An honest spreadsheet that once a month leads to a concrete new website page or review campaign is priceless.

The most common mistakes in measuring

Mistake one: checking only ChatGPT. Your customers use various systems, and the answers differ greatly. Perplexity cites sources, Gemini pulls Google data, ChatGPT works more from training knowledge. Anyone who measures only one system has a distorted picture and may be optimizing away from the real user.

Mistake two: measuring while logged in with your own history. The AI then knows you and mentions your agency flatteringly – a completely false signal. Always test in neutral, logged-out mode. Mistake three: measuring once and drawing conclusions from it. A single run is a snapshot with a lot of randomness. Only the repeated rhythm makes the data reliable.

Mistake four: getting annoyed about a bad mention instead of using it. If the AI describes your agency incorrectly or names an old specialization, that's a signal that your public sources are outdated. Fix them at the root – on your website and in your profiles – instead of complaining about the machine. The AI only mirrors what it finds about you.

Your roadmap for the next 90 days

Week one: create your list of questions with 40 industry-realistic queries from your area and your specializations. Run the first mention check in ChatGPT, Gemini and Perplexity and enter everything into your table. That's your baseline, against which you measure everything going forward. Deliberately take your time for this, because this foundation carries all the work that follows.

Weeks two to eight: work through the three biggest gaps. Usually that's a missing topic page, too few concrete reviews and inconsistent directory entries. Write the pages, collect reviews with context, tidy up your profiles. Focus on questions where you can realistically move up, not on the most contested search term in the city.

Day 90: second full mention check with exactly the same list. Compare line by line with your baseline. Where do you appear now, where not, how has the tone changed? This comparison shows you in black and white whether your work is having an effect – and turns a vague gut feeling about AI visibility into a real, controllable metric of your agency business.

Common questions

How often should I, as an agent, measure my AI mentions?

One full run per month is the sensible rhythm. Measure more often and you'll only measure noise, because AI answers fluctuate slightly from day to day. Always use the same list of questions, the same weekday and logged-out mode, so the results stay comparable over the months and you see real trends instead of chance.

What do I do if a competitor is constantly mentioned ahead of me?

Ask the AI directly why it recommends them. It usually names reasons like many reviews, long market presence or a clear specialization. That shows you your gaps. Instead of attacking the big players head-on, occupy a niche – a district, a property type, a selling situation – where you can become the clearly named name.

Is it enough to check only ChatGPT, or do I need several systems?

You need several. Your customers use ChatGPT, Gemini and Perplexity in a mix, and the answers differ markedly. Perplexity even shows you the cited sources, which is worth gold for your optimization. Anyone who measures only one system gets a distorted picture and optimizes away from real user behavior.

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