AI Visibility Audit for Real Estate Agents | Found and Verified
For Real Estate Agents and Teams

Buyers Ask AI to Recommend a Realtor. Is Your Name Coming Up?

“Who is the best realtor in [neighborhood]?” is one of the most common local AI queries in real estate. The agents appearing in those answers are closing conversations before you know they started.

What AI Search Looks Like Right Now
Buyers and sellers use AI to find their agent before asking anyone.

Realtor.com profiles, Zillow listings, NAR membership, and your website’s structured data are what AI draws from when recommending an agent. Agents who haven’t built those signals into their digital presence simply don’t appear.

AI Search — Live Query
User Query
“Who is the best realtor in Franklin TN for first-time buyers?”
AI Response — Top Results Cited
1
Agent with complete Realtor.com and Zillow profiles and NAR listing
Verified
2
Team with structured buyer specialization and neighborhood schema
Verified
3
Your name — not found in AI results
Not Found
Sources AI checked: Realtor.com, Zillow, NAR Member Directory, Trulia, Google Business Profile
The Problem

AI Recommends Specific Agents — and Most Are Missing from the Results

Picture this: a couple relocating from out of state opens ChatGPT and types “Who is a good real estate agent in Franklin, Tennessee for families?” They get two names. They call the first one. You have been selling in Franklin for twelve years and your name never appeared.

Or this: a first-time buyer searches your name directly in an AI tool to verify you before their appointment. The AI pulls an old phone number and lists a brokerage you left three years ago. They hesitate. They call someone else.

AI search tools are now a primary research step for homebuyers and sellers, especially those relocating or working with a new agent for the first time. When someone asks ChatGPT who to call about buying a home in a specific neighborhood, AI pulls from Realtor.com profiles, Zillow listings, the NAR member directory, and structured data on the agent’s website. Agents with incomplete profiles, inconsistent information, or missing schema simply don’t show up — and the buyer calls whoever does.

The AI visibility gap is especially significant for individual agents and small teams competing alongside large brokerages. Franchise brands and large team operations often have web teams maintaining their digital infrastructure. Solo agents frequently have well-maintained social media and a strong local reputation but gaps in the directory presence and structured data that AI actually sources from. Social proof that only lives on Instagram does nothing for AI citation.

“First-time and relocation buyers are the fastest-growing segment of AI-assisted real estate search. These clients are least likely to have a warm referral and most likely to call whoever AI recommends.”

Establishing AI visibility now means your name appears in those conversations for years. The audit shows exactly what needs to be in place and in what order to get there.

The Audit

What We Check

Every audit focuses on the directories, profiles, and data signals AI uses when recommending real estate professionals in a specific market.

01
Real Estate Directory Presence
Realtor.com, Zillow, Trulia, and the NAR member directory reviewed for completeness, photo quality, review recency, and accuracy of contact information across all listings.
02
Specialty and Market Area Schema
How your neighborhood expertise, buyer or seller specializations, and service area are structured in your website’s data. AI matches agents to searches based on these specific signals.
03
Google Business Profile Audit
Categories, services, and reviews reviewed with attention to real estate-specific signals. An optimized GBP is one of the strongest single inputs for local AI recommendations.
04
Agent Bio and Credential Structure
Experience, certifications (ABR, GRI, CRS, etc.), and production history reviewed for how well they’re presented in a format AI can read, index, and cite as evidence of expertise.
05
NAP Consistency
Agent or team name, office address, and phone verified across all directory listings. Inconsistencies reduce AI confidence and citation likelihood significantly.
What You Receive

A Clear Picture and a Specific Plan

AI Visibility Index Score
A scored assessment across ChatGPT, Perplexity, Claude, and Google AI Overview, with category-level breakdowns and benchmarks versus verifiable competitors.
Platform Citation Report
Documentation of exactly what each AI tool returns when someone in your market searches for your type of agent. You see competitors’ results alongside your own.
Two Separate Action Documents
One plain-language checklist for your team — no technical knowledge required. One developer-ready technical brief your web developer can act on immediately without additional briefing. Nothing gets lost between the two.
Verification Re-Run
After your team implements the fixes, we re-run the audit to confirm corrections took hold and document the improvement. You see your before score and your after score side by side.
Services and Pricing

Three Ways to Work Together

Every engagement starts with the Tier 1 audit. From there, you choose how far you want to go.

Tier 1 — Start Here
$1,500
Real Estate Agent AI Audit
  • Full audit across all four AI platforms
  • AI Visibility Index score with category breakdowns
  • Real estate directory and credential review
  • Priority fix list with responsibility assignments
  • Developer action document
  • Competitor citation comparison
  • Delivered as polished PDF on a call
Book a Call
Tier 3 — Done For You
$3,500+
Full Implementation
  • Requires Tier 1 audit (billed separately)
  • Scope determined by audit findings
  • Schema markup written and installed
  • All directories claimed and corrected
  • NAP standardized across platforms
  • FAQ schema added to key pages
  • Wikidata entity created
  • Final verification report included
Book a Call
🌎
A La Carte Add-On
Wikidata Entity Creation
$300
Wikidata is a structured database that ChatGPT and Google pull from directly when verifying a business is real. Most local businesses have no entry, which means AI cannot confirm they exist. We create and structure yours so AI platforms can confidently cite you.
Common Questions

Frequently Asked Questions

How does AI decide which agent to recommend for a specific neighborhood?
AI looks at whether your Realtor.com profile is complete, whether your Zillow profile reflects your active NAR membership, and whether your website’s structured data explicitly identifies your service areas and specializations. Agents who have never documented their neighborhood expertise in a machine-readable format are invisible in neighborhood-specific AI queries, even if they’re the most active agent in that area.
I have strong Zillow reviews. Does that help with AI recommendations?
Zillow reviews contribute positively, but they’re most effective when your Zillow profile is complete, consistent with your other listings, and connected to an active NAR membership. An agent with 20 reviews on a complete, well-structured profile often outperforms one with 100 reviews on an incomplete profile in AI-generated recommendations.
My brokerage has a strong website. Does that help my individual AI visibility?
It depends on how the brokerage site is structured. If your individual agent page includes your name, credentials, designations, service area, and contact information in structured data, it helps significantly. If you’re listed as one of many agents in a generic directory-style page without individual schema, the brokerage site doesn’t transfer much to your personal AI visibility. The audit reviews your brokerage page specifically alongside your independent profiles.
How is this different from paying for Zillow Premier Agent or Realtor.com advertising?
Paid placement buys you visibility in those platforms’ own search results, and it stops when the budget stops. AI citation is earned through the quality and completeness of your data across multiple authoritative sources. AI tools don’t accept payment for placement. An agent cited because their data is complete will consistently appear in AI recommendations for free, indefinitely.
I work with both buyers and sellers. Does the audit cover both sides?
Yes. The audit reviews how your buyer and seller specializations are structured and whether AI can correctly identify you as a resource for both types of queries. Many agents have strong language in their website content but haven’t structured it in a way AI can parse. The fix list addresses both buyer-specific and seller-specific visibility gaps.
How long does the audit take from start to finish?
Most agent and team audits are completed within five to seven business days of intake. You receive all four deliverables in a single package, including a walkthrough call to review the findings before you share them with your web developer or brokerage support team.
Ready to Find Out Where You Stand

See Whether AI Is Recommending You to Buyers

Book a 30-minute discovery call. We’ll run a live spot check on your profile in the AI tools buyers in your market are using right now.

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