400 media placements
AI prompts naming the client
36 branded, 172 non-branded
The Business
The client is a South Florida luxury real estate brokerage specializing in new development condo sales. It represents developers on new towers and works with high-net-worth buyers and with sellers of luxury condos, penthouses and single-family homes. Many of its buyers come from other states or other countries, and the client guides them through a cross-border purchase. Its experience rests on direct developer relationships and years of new development sales.
The pilot tested what AI engines tell luxury condo buyers when they ask how to reach pre-launch inventory, how to compare brokers and how to buy from abroad. The client’s position is simple: direct developer relationships can give buyers access to pre-launch inventory and early pricing before public marketing begins.
The Objective
The AI visibility optimization pilot aimed to get the client cited in AI answers about buying new development luxury condos in Miami. It used two published assets and measured the results once after launch. Specifically:
- Focus on buyer questions about pre-launch access, developer representation and new development condo purchases, where the buyer is close to a decision
- Publish one Anchor Article on the client’s domain to build its authority on new development condo sales
- Publish one AI Notice on the wire to carry the same developer-side access case into third-party sources
- Track the client’s AI visibility on five AI engines, with a fixed set of buyer prompts for each asset
- Measure share of voice and prompt coverage against competing luxury real estate brokerages
Core Challenges
Competing With Luxury Real Estate Brokerages Already Established in AI Answers
Five rival brokerages were each named more than 65 times in answers to buyer questions. The sources the engines leaned on most were social media platforms, condo directories and rival brokerages’ sites. To compete, the client needed sources of its own that answer buyers’ questions about new development sales.
Buyers Ask AI How to Buy a New Development Condo Before Public Launch
Buyers in this category ask exact questions, such as how to get into the first pricing phase or how to check that a broker’s developer relationships are real. The client needed content that answered these questions and gave AI engines a reliable source to cite.
Tracing New AI Visibility Back to Its Source
With two assets in market, both telling the same developer-side access story, a total citation count would not have shown which one the engines were citing. Only per-citation attribution could separate them, so the pilot traced every appearance back to the page behind it.
The Strategy
Prompt Selection Around the Buying Moment
The pilot wrote its buyer prompts in the voices of the people who buy and sell in new Miami towers, from International Buyer to Luxury Home Seller. The prompts mixed questions about what the market’s terms mean, such as a developer sales mandate, with questions about getting in before public launch and choosing a broker. Together they followed a buyer from learning the terms to picking a broker.
One Anchor Article
A long-form guide on the client’s site walks buyers through new development condo purchases in Miami, from pre-launch pricing to choosing a broker. Because the client owns the page, AI engines can keep crawling and citing it after the pilot ends.
One AI Notice
The AI Notice went out on the wire and explained how direct developer relationships give buyers access to pre-launch inventory and early pricing.
Day-Zero Launch, Day-7 Measurement
Seven days after the AI Notice launched, the pilot ran its buyer prompts across five AI engines and tracked citations to both the AI Notice’s placements and the Anchor Article. All results reflect this single post-launch measurement.
AI Visibility Optimization Results
184 mentions
AI Notice as a source
the client
came from non-brand questions
The campaign report shows how far the AI Notice traveled in the media and how often AI engines cited it.
Share of Voice Among Luxury Real Estate Brokerages
With 184 mentions, the client finished ahead of every rival brokerage. The 2nd-ranked brokerage had 156, and the next two had 120 and 100. When an answer named both the client and the 2nd-ranked brokerage, the client ranked higher 58% of the time.
Prompt Coverage and First-Named Finishes
The engines named the client in 111 of 200 buyer prompts, and it ranked in the top three in 96 of them. Counting each engine’s answer separately, the client took first place 137 times.
Unprompted Discovery
Of the 111 prompts that named the client, 78 were non-brand questions, such as how to get into a new tower’s first pricing phase or how to close a purchase from abroad. The report assigns 133 of the 200 prompts to an awareness stage. In those stages, the client appeared in every brand-search prompt and in 70% of the prompts comparing types of solutions. Coverage was lowest, at 41%, in prompts that describe a problem before naming a solution.
| Buyer awareness stage | Coverage | Named the client | Prompts in stage | Avg position |
|---|---|---|---|---|
| Unawarehas not identified the problem | 50% | 5 | 10 | #2.0 |
| Problem-Awareknows the problem, still scoping solutions | 41% | 15 | 37 | #1.3 |
| Solution-Awareevaluating solution categories | 70% | 21 | 30 | #2.3 |
| Product-Awarecomparing specific products | 65% | 22 | 34 | #3.7 |
| Most-Awaresearching by brand name | 100% | 22 | 22 | #1.6 |
AI Visibility by Engine
The client had AI visibility on all five engines, with positive sentiment on each. Claude and Perplexity rated it a top pick, while ChatGPT, Gemini and Grok recommended it. Grok named it most often, in 100 of 200 prompts, and ChatGPT least often, in 23. Even so, ChatGPT gave the client its best average position, #1.5, and Gemini gave its lowest, #3.7. Grok had the most first-place finishes, with 59.
Where the AI Visibility Came From
When Gemini, Grok and Perplexity answered these buyer questions, the client’s own website ranked ninth among the sources they cited, with 404 citations. The report holds no citation data for Claude or ChatGPT. The wire release of the AI Notice drew 113 citations, and a financial news site’s copy drew 78. In all, the AI Notice earned 208 placement citations, nearly three times the 75 the program guarantees: 125 from Grok and 83 from Perplexity. Engines used the AI Notice as a source in 123 of 200 buyer prompts.
The Anchor Article had its own set of 400 prompts. In that set, Grok, Gemini and Perplexity cited it 205 times across 128 prompts: Grok 113 times, Gemini 51 and Perplexity 41.
Distribution Reach
The AI Notice reached 400 media placements with a combined audience of 122.0M monthly visitors. AI engines cited four of them, and those four hold 30% of that audience.
Google AI Overview Visibility
Google AI Overviews named the client on 31 of the 200 keywords drawn from the AI Notice, and 12 of them cited the AI Notice. Most were branded searches. Beyond AI Overviews, copies of the AI Notice ranked on Google for 15 keywords, 13 of them in the top 10 and 2 in the top 3.
Examples From AI Answers
The examples below show how AI engines answered buyer questions about new development luxury condos and which sources they cited.
“What type of Miami real estate firm specializes in both developer representation and high-net-worth buyer acquisition for new construction towers?” (asked as Family Office Director)
Perplexity and Grok each ranked the client first and rated it a top pick. Perplexity presented the client as the clearest match for a firm that serves both developers and high-net-worth buyers. Grok described it as a firm set apart by combining developer-side representation with high-net-worth buyer acquisition. Claude also ranked the client first.
“How do I find a Miami real estate broker who has direct developer relationships and can get me into first allocation releases?” (asked as Luxury Buyer from California)
For a buyer moving from California, Grok ranked the client first, ahead of six other Miami brokerages and sales teams. It presented the client as a developer representation and new development specialist with direct developer relationships and access to early allocations. The answer explained that developers release inventory in phases and that the earliest allocations go to their own sales teams and to trusted brokers.
“How does a South Florida brokerage with developer representation experience differ from a traditional listing agency when selling my luxury condo?” (asked as Luxury Condo Seller)
This question came from a seller, and Grok again ranked the client first. The answer used the client as its example of a firm with developer-side expertise in new development luxury residences. It said that brokerages with that experience combine developer knowledge, international buyer networks and more disciplined marketing.
None of the three prompts named the client, and the citing engines ranked it first every time.
How We Measured
The AI visibility optimization pilot tested two separate sets of buyer prompts, 200 for the AI Notice and 400 for the Anchor Article, across five AI engines: Claude, ChatGPT, Gemini, Perplexity and Grok. Each report tracked brand mentions in AI answers. A mention counts when an engine names the client, and brand visibility measures the share of prompts where at least one engine named it.
AI citations were tracked separately and matched by exact URL to show when an engine used the AI Notice or the Anchor Article as a source. A separate Google check measured organic keyword rankings and visibility in Google AI Overviews.
About the measurement
All results come from a pilot built around one Anchor Article and one AI Notice. Each asset was measured once after launch. The two prompt sets differ, so their figures are reported separately and never combined.
Why This Matters
The client was the most-named luxury real estate brokerage in the AI Notice prompt set. 78 of the 111 prompts that named the client never mentioned its brand. These included questions about developer relationships, deposit terms and luxury condo sales, the kinds of questions buyers ask when choosing a broker for a new tower.
The results also showed where coverage was weakest: prompts that describe a problem before naming a solution, an opportunity to expand AI visibility around those topics.
Zen Media has applied this AI visibility optimization approach in structured cabling and online education. Want to see how your brand appears in AI answers to buyer questions? Contact Zen Media to explore an AI visibility strategy for your business.
