How Real Estate Agents Show Up When Buyers Ask ChatGPT 'Who's a Good Realtor Near Me'
                     How Real Estate Agents Show 
Up When Buyers Ask ChatGPT 
‘Who’s a Good Realtor Near Me’
Buyers are increasingly skipping the Google 
search entirely and asking ChatGPT, Perplexity, or 
Google’s AI Overview a direct question: “who’s a 
good realtor near me” or “which agent should I 
use to sell my house in Madison.” How an agent 
shows up in that answer, or doesn’t, is starting to 
matter as much as where they rank on a 
traditional search results page.
Unlike traditional SEO, AI search doesn’t rank ten 
blue links. It generates one synthesized answer, 
pulled from a small number of sources it trusts. That 
means the goal isn’t to rank first anymore, it’s to be 
one of the handful of sources an AI model considers 
credible enough to cite at all.
Why This Matters for 
Madison-Area Realtors 
RMositg aghentt w Nebsoitews were built for Google’s old 
ranking system: keywords, backlinks, page 
authority. AI answer engines work differently. They 
favor content that directly answers a specific 
question, sites with consistent and verifiable 
business information, and pages structured so a 
machine can extract a clear answer rather than 
infer one from marketing copy.
An agent bio page that reads “I’ve lived in 
Madison my whole life and love helping families 
find their dream home” gives an AI model almost 
nothing concrete to extract. A page that states 
specifically who you specialize in, which 
neighborhoods you cover, and what your process 
looks like gives it something it can actually cite.
What AI Search Engines Actually 
Look For
1. Structured, Machine-Readable Business Data: AI models rely heavily on 
schema markup, structured data embedded in your site that explicitly labels who you 
are, what you do, and where you operate. A real estate agent site using proper Local 
Business or Real Estate Agent schema gives AI systems a clean, verifiable data source. 
A site without it forces the AI to guess, and it usually won’t bother.
2. Consistent Information Across the Web: AI systems cross-reference your name, 
address, phone number, and specialty across multiple sources, your website, Google 
Business Profile, Zillow, Realtor.com, local directories. Inconsistencies between these 
(an old phone number on one, a different specialty listed on another) reduce how 
confidently an AI model can cite you.
3. Content That Answers a Specific Question in Plain Language: Pages built 
around a direct question (“What should a first-time buyer expect in Madison’s market 
this year?”) get pulled into AI answers far more often than generic service pages. The 
answer needs to appear clearly near the top of the page, not buried after several 
paragraphs of introduction.
4. Review Volume and Recency: AI models weigh recent, substantive reviews as a 
trust signal, not just star rating but review content itself. A page of five-star ratings with 
no written detail carries less weight than fewer reviews with specific, descriptive client 
experiences.
Four Practical Steps to Improve 
AI Search Visibility
1. Add schema markup: Identifying you as a real estate agent, your service area, and 
your specialties, not just generic business schema.
2. Audit your NAP consistency: (name, address, phone) across your website, Google 
Business Profile, and every listing site you appear on.
3. Rewrite your About page: To state specifically who you work with and how, 
instead of a generic personal story an AI model can’t extract a clear answer from.
4. Build a small set of question-based pages: Answering the specific things buyers 
and sellers in your market actually ask, rather than one general “About Madison Real 
Estate” page trying to cover everything at once.
What This Looks Like in Practice
At Megh Designs, this is the exact 
gap we help Madison-area realtors 
close: structuring a site so both 
traditional search engines and AI 
answer engines can find, trust, 
and cite it. That includes schema 
implementation, NAP consistency 
audits, and rebuilding bio and 
specialty pages around the direct 
questions buyers are actually 
asking AI tools today.
Frequently Asked Questions
01 Is this the same thing as regular SEO?
It overlaps significantly but isn’t identical. Traditional SEO focuses on ranking 
in a list of links. AI search optimization, sometimes called GEO or answer 
engine optimization, focuses on being one of the few sources an AI model 
trusts enough to cite directly in a single generated answer.
02 How long does it take to show up in AI-generated answers?
There’s no fixed timeline, since AI models retrain and re-crawl on different 
schedules than traditional search indexing, but the underlying fixes, schema, 
NAP consistency, and clearer content, typically take effect within the same 
general window as traditional SEO improvements, several weeks to a few 
months.
03 Do I need a developer to add schema 
markup?
Not necessarily. Many WordPress SEO plugins support adding structured data 
through their interface, though real estate-specific schema often benefits 
from a developer’s review to make sure it’s implemented correctly.
04 Does my brokerage’s website already handle this for me?
Most brokerage-provided templates are built for compliance and shared 
branding, not for individual agent AI visibility. Most agents need a personal 
site or a set of pages specifically structured around their own specialty and 
market to be competitive in AI search results.
Any Questions?
Let's Get You Found.
meghdesigns.com
608-301- Madison, Wisconsin, 
5392 USA