What Real Buyer Questions Should a Commercial Real-Estate Broker Test Across Five AI Search Engines?

Who asks, and what do they ask about?

What questions should you test? A starter bank

Replace [city], [area] and sizes with your markets.

Broker selection - "Best commercial real estate brokers in [city]?" - "Tenant rep broker for office space in [city]?" - "Industrial real estate broker near [area]?" - "Who are the top retail leasing brokers in [city]?" - "Commercial broker specialising in medical office in [city]?"

Tenant questions - "How do I find 5,000 sq ft of office space in [district]?" - "Should I use a tenant rep broker, and who pays them?" - "Average office rent per square foot in [city] this year?" - "Warehouse space for lease near [highway or port] with loading docks?"

Investor questions - "Who sells net lease properties in [state]?" - "Brokers for 1031 exchange replacement properties in [region]?" - "Multifamily investment sales brokers in [city]?" - "What are cap rates for industrial property in [market]?"

Owner and landlord questions - "Who can lease my vacant retail unit in [town]?" - "Best brokers to sell an office building in [city]?" - "How do I find a leasing agent for a small industrial property?"

Market research - "Is [city] office vacancy going up or down?" - "Which [city] submarkets are best for logistics?"

Your firm - "What does [firm] specialise in?" - "Is [firm] a good tenant rep broker in [city]?"

How should you run the test across five engines?

1. Engines: ChatGPT, Gemini, Perplexity, Google's AI Overviews or AI Mode, and Microsoft Copilot. They draw on different search systems, so results differ.
2. State the market in each question, since commercial property is intensely local.
3. Run each question three times per engine in fresh sessions.
4. Record firms and individual brokers named, whether you appear, how you are described, and the sources cited.
5. Check accuracy: specialisms, offices, notable deals and team members stated about you.
6. Repeat quarterly, and after major deals, research releases or team changes.

Broker selection and owner questions are where recommendations happen. Market questions show whether your research is cited as a source, which builds authority even when you are not named as a broker.

What sources do AI engines cite for commercial property?

• Listing platforms for available space and properties.
• Market research reports from large brokerages and data providers, for rents, vacancy and cap rates.
• Local business journals and real estate press covering deals and rankings.
• Professional directories and designations, such as CCIM or SIOR member listings.
• Broker and firm websites, especially team pages, deal histories and market reports.
• Business Profiles and reviews for local firm questions.

If market questions cite competitors' quarterly reports and never yours, consider publishing regular local market data of your own.

What should you fix if you are not named?

1. Publish specialist pages for each property type and client type you serve, such as tenant representation for office, or industrial leasing.
2. Show a deal history with property types, sizes and submarkets, within client confidentiality.
3. Publish local market reports regularly, with clear figures and dates, so engines cite you for market questions.
4. Keep broker bios detailed: specialisms, designations, markets and notable transactions.
5. Be present in the directories and press engines cite: designation directories, business journal deal coverage, local rankings.
6. Keep listing platform profiles and Business Profiles consistent with your site.

How AI agents change real estate visibility more broadly is covered in why real estate professionals need GEO beyond traditional SEO. A general method for picking questions is covered in how to choose the right prompts to track.

What do people ask about AI visibility for commercial brokers?

Do AI engines name individual brokers or only firms?

Both. Firm names are more common for broad questions; individual brokers appear when their specialism and deals are well documented.

Should we test residential-style "near me" questions?

Rarely. Commercial clients ask about markets, property types and specialisms rather than proximity.

Can a small brokerage compete with national firms in AI answers?

Yes, for specialist and local questions, especially with regular local market data and a clear deal history.

How often do AI answers about commercial markets change?

Answers to market questions can shift whenever new market reports appear, so retest those after each round of reports, and retest broker recommendation questions on a fixed schedule.