How do real estate agents get found on ChatGPT, Claude, Gemini and Google AI Overviews?

Step 1: Make your facts identical everywhere

An AI tool cross-checks. When your name, phone and brokerage line agree on every site, the tool has a reason to trust them. When they disagree, it has no reason to trust any of them.

• Name: pick one version, such as "Brian Lee Burke", and use it on every profile.
• Address and phone: one office address and one phone number, written the same way every time.
• Brokerage line: your team name and your brokerage name together, such as "The Kenna Group at Keller Williams DTC".
• License: your license type and the year you were licensed.

In Colorado, Real Estate Commission Rule 6.10 requires the brokerage name in advertising, including with any team name. Other states have similar rules. The compliance rule and the AI rule point the same way: one full line, everywhere, every time. Update your website, Google Business Profile, Zillow, Realtor.com, your brokerage roster, LinkedIn and your social bios in one sitting.

Step 2: Build one verified profile page about you

You need one page that is unmistakably about you and your market. Put your name, your city and the words "real estate agent" in the first 100 words. Example: "Brian Lee Burke is a real estate agent in Highlands Ranch, Colorado, with The Kenna Group at Keller Williams DTC, licensed since 2003." That sentence is easy for a person to read and easy for a machine to repeat.

The page also needs proof a reader can check: license lookup link, brokerage, reviews with links to where they live, sales with dates, and the areas you serve. A PadLeaders Pad Page^™ is built this way. Each one states the agent's name, city and brokerage in the first lines, shows verified checks with links to the source, and updates local numbers daily where the agent's MLS data allows it. A Pad Page can help you get found. It is not a promise of placement in any search engine or assistant.

Step 3: Add schema that matches the visible page

Schema is structured data that states facts in a format machines read without guessing. Two types matter for agents:

• RealEstateAgent (schema.org) for your name, phone, address, brokerage, areas served and review links.
• FAQPage (schema.org) for the questions and answers printed on the page.

Google's general structured data guidelines say markup must represent the visible content of the page. Do not mark up reviews, awards or areas a visitor cannot see. Mismatched schema is a reason for Google to ignore it, and it teaches AI tools the wrong facts.

Step 4: Earn real reviews on Google and Zillow

Reviews are proof that other people stand behind your claims. Google's local ranking help page lists three main factors for local results: relevance, distance and prominence. It says review count and review score factor into prominence. Zillow and Realtor.com agent profiles are pages AI tools read and cite.

1. Ask every closed client for a review, not only the happy ones.
2. Ask for Google first, then Zillow.
3. Reply to every review, good or bad, in plain words.
4. Link to your review pages from your profile page.

The Federal Trade Commission announced a final rule on August 14, 2024 that bans fake reviews, buying reviews, and paying for reviews tied to a positive or negative sentiment. It took effect October 21, 2024. Do not write reviews, buy them or filter who gets asked.

Step 5: Publish fresh, dated local data and Q&A content

AI tools answer follow-up questions. "Real estate agent in Parker" fans out into "Parker home prices", "how long homes take to sell in Parker" and "Parker property taxes". Each page that answers one of those questions with a number, a source and a date is another place to find you.

• Lead with the answer: "Homes for sale in Littleton: [count]. Median list price: [price]. Updated [date]."
• Name the source of every number, such as your MLS, the county assessor or the U.S. Census Bureau.
• Refresh numbers on a schedule. A stale number is worse than none.
• Write one section per client question: closing costs, metro districts, HOA rules, school boundaries, commute times.

Our method: every market number on our sites rebuilds daily and shows "Updated" with the date. We also keep a daily missed-search list that compares real autocomplete searches against our sitemap, and we build a page for each gap.

Step 6: Get mentioned on trusted sites

An AI tool trusts a fact more when an independent site states it. Mentions that count for an agent:

• Local news quotes about the market, with your name and brokerage line.
• Your brokerage's agent roster and press releases.
• Chamber of commerce, HOA, charity and school sponsor pages.
• Guest answers on real estate sites and podcasts, with a link to your profile page.

Each mention should use the same name and brokerage line from Step 1. One accurate mention on a trusted local site is worth more than 50 links from sites nobody reads.

Step 7: Complete your Google Business Profile

Google Maps and the local results in Google come from Google Business Profiles, and Gemini and AI Overviews draw on Google's data. Verify your profile, pick the correct primary category, set your service area, add hours, photos and your website link, and answer the questions people post. Google's local ranking help page says complete and accurate information helps a business match more searches. Keep the name on the profile to your real business name. Google's guidelines prohibit stuffing keywords into it.

Step 8: Get listed in the directories AI tools read

When we ran Denver-area agent searches on October 13, 2026, directories and review sites showed up most: Zillow, Realtor.com, HomeLight, Yelp, RateMyAgent and similar. Claim and complete your profile on each one. Use the same name, phone, brokerage line, photo and bio. Add your license number where the site allows it. Also submit your site to Bing Webmaster Tools, since several AI tools use search indexes beyond Google. The PadLeaders directory is one more listing built for this, with schema on every agent page.

Step 9: Add an llms.txt file, and know what it is

llms.txt is a plain text file at yoursite.com/llms.txt that lists your key pages in a format written for AI tools. Jeremy Howard proposed it on September 3, 2024, with a specification at llmstxt.org. It is a proposed convention, not a web standard. Google's Gary Illyes said in July 2025 that Google does not support llms.txt and has no plans to. No major AI company has confirmed using it in its search answers. It takes ten minutes to write, so add one if you like, with your name, brokerage line, profile page and key market pages. Do not pay anyone extra for it, and do not let it replace Steps 1 through 8.

Step 10: Let the AI crawlers in

If a tool's crawler is blocked, that tool cannot read your pages. Many website platforms, security plugins and CDNs added AI-bot blocking in 2024 and 2025. Open yoursite.com/robots.txt and check. Each company documents its own bots:

• OAI-SearchBot (OpenAI) indexes pages for ChatGPT search. OpenAI says sites that block it will not appear in ChatGPT search answers. GPTBot is OpenAI's training crawler and is a separate setting.
• Claude-SearchBot (Anthropic) indexes pages for Claude's search results, and Claude-User fetches pages when a person asks Claude a question. Anthropic says blocking Claude-SearchBot can reduce your visibility in search results. ClaudeBot is Anthropic's training crawler.
• PerplexityBot indexes pages for Perplexity's search results. Perplexity recommends allowing it.
• Google-Extended is a robots.txt token, not a separate crawler. It controls use of your content for Gemini training and grounding. Google says it does not affect Google Search ranking or inclusion.

Example robots.txt lines that allow the search crawlers. Each block is a user-agent line followed by an allow line:

• User-agent: OAI-SearchBot / Allow: /
• User-agent: Claude-SearchBot / Allow: /
• User-agent: Claude-User / Allow: /
• User-agent: PerplexityBot / Allow: /
• User-agent: Googlebot / Allow: /
• User-agent: Google-Extended / Allow: / (or Disallow: / if you want to keep content out of Gemini, which costs you Gemini grounding)
• User-agent: GPTBot and User-agent: ClaudeBot / Allow: / or Disallow: / (training only, your choice)

Watch for a "User-agent: *" line followed by "Disallow: /". That blocks every bot that has no rule of its own. Then ask your host or CDN in writing whether they block AI crawlers at the network level, because robots.txt will not show that. OpenAI says a robots.txt change reaches its systems in about 24 hours.

What not to do

• Do not buy "AI rankings". No one sells placement in ChatGPT, Claude, Gemini or Google AI answers. A vendor who promises a mention is selling something they do not control.
• Do not post fake reviews. The FTC rule from August 2024 bans them, and Google and Zillow remove them.
• Do not stuff keywords. A page that repeats "Denver realtor" 30 times in a row reads badly to people and machines. Google's spam policies name keyword stuffing.
• Do not block the crawlers by accident. Check robots.txt and your CDN settings after every website change.
• Do not use different names in different places. "Brian Burke", "Brian L. Burke" and "Kenna Real Estate" on three sites look like three people to a machine.
• Do not claim what you cannot prove. Ranking claims need proof under state advertising rules, and AI tools repeat what they read.

How to check if AI tools mention you

Pick 10 to 20 questions your clients ask. Mix city questions and niche questions:

1. "Real estate agent in [city], [state]"
2. "Who should I call to sell my house in [city]?"
3. "Realtor in [city] who works with first-time buyers"
4. "Agent in [city] for divorce home sales"
5. "Agent in [city] for luxury homes"
6. "Agent in [city] for military relocation" or another niche you serve
7. "Is [your name] a good real estate agent?"
8. "[Your team name] reviews"

Ask each question in ChatGPT with search on, Claude with web search on, Gemini, Google (watch the AI Overview) and Perplexity. Keep a monthly log with one row per question per tool: the date, whether you were named, which agents were named, and which sources were listed. Run it on the same day each month. HousingWire's article noted specialty queries returned specific agent names 87 percent of the time, versus 73 percent for generic ones, so niche questions are where a smaller agent has the clearest opening. Your server logs add one more column: which AI crawlers visited and which pages they read.

Frog tip: write down the sources each AI tool lists when it names another agent in your city. Those sites are your to-do list. If Perplexity keeps citing one local news site and one directory, get accurate on both before you write another blog post.

Not sure where you stand? Start with the free PadLeaders AI Visibility Check. We ask five AI tools the questions your clients ask about your city, save the answers and sources, and list the three fixes we would make first. It can help you see what to fix. It is not a promise of a mention in any AI tool or search engine.