AI visibility for real estate
The real estate agents
The real estate agents
buyers ask AI for.
Buyers now ask AI who to work with, and three names come back. Citelight shows you whether one of them is yours.
Buyers now ask AI who to work with, and three names come back. Citelight shows you whether one of them is yours.
Four platforms, no signup. See the answer a buyer just got in Fort Lauderdale, and the three things to fix this week.
Built for real estate agents at
and every independentThe buyer opens ten tabs and compares for an hour. You are somewhere in the 247, waiting to be found.
247 agents returned
One answer. Three names. The buyer calls the first, and that agent wins the listing.
The other 244 are not in the answer.
3 agents named
The score you watched climb above is the spine. These are the three artifacts that move it, delivered before your first showing.
Three fixes, ranked by what moves your score most this week, each with the reason it matters. When a fix lands, the next brief shows what changed.
Best week since March. Your Harbor Beach guide earned a Gemini citation, position #2.
Publish a Las Olas waterfront guide. Perplexity favors fresh, specific local pages.
Add licence history and closed sales to your About page. Perplexity favors verifiable credentials.
Answer your three June reviews. AI Overview reads review recency.
Reply to this email and Andy answers.
Citelight captures every agent AI names in your market, and which platforms name them. You see exactly who owns the answer today.
Every buyer and seller question in your specialties, your price bands and your neighborhoods. Four platforms, every week, scored the same way so the trend means something. When a dot lights, the brief tells you which page earned it. When one goes dark, you hear it first.
This is the black box every buyer and seller now trusts. Citelight is the light inside it, so you can see exactly who gets named, and why.
For luxury waterfront in Fort Lauderdale, buyers are most often pointed to three consistently cited agents: a Las Olas Isles specialist1, a Rio Vista listing agent2, and a Harbor Beach broker3. Each is named across multiple answers for this market.
Every one of those citations was earned. Yours can be too.
Buyers are pointed to the same three names, and increasingly to a fourth: an agent whose Las Olas waterfront guide is now cited directly4 for pricing and dock depth on the Isles.
Every plan starts with the free audit and runs on the same weekly cadence: scan, score, brief, fix.
Citelight measures how AI assistants describe real estate agents. Every week we ask four assistants, ChatGPT, Gemini, Perplexity and Google’s AI answers, the questions buyers and sellers actually ask about a market, and record which agents get named, in what position, and which pages the assistant read before answering.
Who it is for. Individual real estate agents and small teams, who are named as people rather than as brands. Our unit of analysis is a named agent in a named neighbourhood, which is a different measurement from a company’s share of a category.
Where we measure. Broward County, Florida is the only market with published research. Five further Florida markets are seeded and unpublished. We do not publish a market until it has corpus, because a page with no readings behind it is worse than no page.
What we publish. The method, the measurement window and the limitations travel with every finding. Our methodology states the four weights and the four numbers we refuse to compute. Our studies carry a revisions log recording every figure we have corrected, including corrections that made a finding stronger.
What we do not do. We do not sell placement in AI answers, and we do not claim that publishing more causes an assistant to name you. We measure and we report. Where we cannot establish cause, we say so on the page.
The first 25 Florida agents to claim founding access lock 50% off forever. We email you the moment Citelight opens.
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