Get your real estate development recommended by ChatGPT.
When buyers ask an assistant for new condos, apartments, or homes in your neighborhood, your project should be the one it names. We build the fact layer that makes that happen.
To get your real estate development recommended by ChatGPT, the project has to exist as a retrievable entity. That means a name, an address, a developer, a unit mix, prices, a delivery date, and a way to reserve. All of it stated in text an assistant can read, and all of it agreeing everywhere it appears. Most projects fail this before the first campaign runs, because their facts live in a brochure PDF and an image-only landing page. TERAMOK builds the project fact layer into every launch website, then earns the corroboration that makes assistants trust it. A Miami developer client logged 112 sessions from AI assistants in the first 90 days of a presale engagement, published unedited. Developers usually pair this with pre-construction marketing, launch websites, published pricing, and the presale budget calculator.
- 112 AI-assistant sessions in 90 days, documented
- 22 of 48 units reserved pre-groundbreaking
- Launch websites from $18,000
By Kirill Samarits, Founder & CEO. Reviewed by Yiannis Deves, September 2026. 17 min read. Every number links to its dashboard.
- Project
- 48-unit residential, West Loop, Chicago
- Developer
- Named, linked to its own profile
- Status
- Pre-construction, delivery Q3 2027
- Plans
- 1BR 640 sq ft to 3BR 1,480 sq ft
- Pricing
- $489K to $1.2M by plan, HOA $310 to $640
- Reserve
- Sales gallery, phone, reservation form
Illustrative card based on our documented 48-unit Chicago presale. Your project's facts replace these.
Asked for new condos in the West Loop under $800K delivering in 2027, the assistant names the project, quotes its price range and delivery date, and cites the project page. That is the whole job.
Representative of assistant answers documented with screenshots in 2026, condensed for length. Answers vary by phrasing, location, and model version. That is why the work is structural, not a one-time trick.
- Yperia Properties
- Loyal Group Realty
- Aristides Dallas Architects
- MIA Developments
- Magna Graecia
- BUY GREECE
The nine facts an assistant needs before it names your project.
Run your current project page against this list. Each missing item is a reason the assistant names a competitor instead.
- Project name, address, and neighborhood in plain text on a server-rendered page
- Developer and architect named, with links to their own profiles
- Construction status and delivery date stated as dates, not as marketing language
- Unit mix and floor plans with square footage and bedroom counts
- Price ranges by plan, plus HOA or rent ranges, updated as the project sells
- Amenities and building facts listed, not shown only in renderings
- A reservation or leasing path with a phone number and a form that works
- Schema and an llms.txt file that repeat the same facts, byte for byte
- At least three independent sources, press, portals, brokers, stating the same facts
Score your project page in sixty seconds.
Tick the facts your current project page publishes in text. The score is what an assistant can retrieve today.
Not retrievable. Renderings and a brochure PDF do not get a project named.
Email me the gap listDevelopments we launched, with the numbers.
A Chicago presale, a Miami presale with an AI-assistant channel from day one, and the national recommendation that came from publishing them. Full ledger.
Facts first, then film, then campaigns. 180 qualified leads, zero cold calls, momentum 2 to 22 reservations.
Read the caseState · Florida112AI-assistant sessions in 90 days, Miami developerOrganic search up 1,925 percent, organic social up 1,433 percent, and an AI Assistant channel in Google Analytics from day one.
Read the caseCity · Chicago+693%Search impressions in 90 days, Chicago developerSix-month authority program across Google and Gemini. 33.1K impressions, clicks up 103 percent, Search Console unedited.
Read the caseNational · USA#1Recommended by ChatGPT for development-launch queriesOur own brand, named first and cited, for the national agency query our buyers actually ask. Also named in Google AI Overviews.
Read the caseDevelopers' dashboards, published unedited.
Chicago and Miami development engagements, dated, with client names withheld where the engagement requires it. The complete ledger is at teramok.us/results.
Chicago real estate development company, six-month engagement building authority across Google and Gemini. 33.1K impressions, up 693 percent, and clicks up 103 percent in 90 days. Client name withheld.
Miami residential developer, first 90 days of a presale engagement. 112 sessions arrived from AI assistants as their own channel, alongside organic search up 1,925 percent. Client name withheld.
Chicago pre-lease development brand, 12-month engagement: website rebuilt and search, performance, and organic social run as one system. 152K active users, up 880.7 percent year over year. Client name withheld.
Miami 44-unit development, first 28 days. 104 leads on roughly $1,000 of ad spend, 41 warm after the sales team's screening, site traffic up 54.3 percent. Client name withheld.
A buyer's question, step by step.
Illustrative answer built on our documented 48-unit Chicago presale. Scroll to watch what the assistant needs at each step, and where most projects fall out.
- 1
The question
New condos in the West Loop under $800K delivering in 2027?
- 2
The checklist it builds
NeighborhoodPrice ceilingDelivery windowUnit typesHow to reserve - 3
The pages it can read
project website, plans pageproject llms.txtportal listingslocal press coveragedeveloper profile - 4
The answer it writes
Three projects match. The first is a 48-unit residence in the West Loop with one- to three-bedroom plans from $489K. Delivery in Q3 2027, with reservations open through the sales gallery.
Project namedPrice range quotedDelivery date quotedProject page cited
The launch numbers behind this page.
AI-referred sessions, presale reservations, and the published starting price of a launch website with the fact layer built in.
Dashboards published unedited on the results ledger, client names withheld where the engagement requires it.
If you searched for any of these, this is the page.
Plain answers to what developers and sales directors type when a competitor shows up in an assistant's answer.
- Publish the project as a retrievable entity: nine facts, matching schema, an llms.txt file, and three independent sources that agree. Then keep it current through sellout. The nine-fact checklist
- Built into the launch website before campaigns start, so paid media, film, and PR land on a page that also earns AI citations. Websites from $18,000. Launch websites
- Assistants name the projects whose facts they can read and verify. Renderings do not get you named; consistent price, plan, and delivery facts do. Pre-construction marketing
- The same fact layer serves apartment lease-ups and build-to-rent: floor plans, pricing, availability, and amenities structured for retrieval. Multifamily and lease-up
- Our Chicago flagship reserved 22 of 48 units before groundbreaking on facts first, then film, then campaigns. Model the budget before the call. Presale budget calculator
- Server-rendered text, open crawlers, structured data that matches the page, a reservation path that works. We build it as standard. Real estate website design
The developer's field guide to AI search.
What sales teams ask us once they see a competitor named in an assistant's answer.
- The ones with a budget and a date in them. New condos under a price in a neighborhood. New apartments near a transit line with a move-in window. New construction homes in a school district. Assistants answer these by retrieving project pages. Write the answer to each at the top of a page and keep it current.
- Its own site, or its own fully retrievable section, with its own entity. Assistants treat a project as a place with facts. A developer homepage that lists projects as images gives them nothing to retrieve. The developer entity should link to it and be linked from it.
- They corroborate. When the project page, the portal listings, and broker pages state the same price ranges and delivery date, the assistant states them with confidence. When they disagree, it hedges or picks the competitor whose facts agree. Portal consistency is a weekly job during sales.
- The page changes with them, and the assistant follows a few weeks later. Availability, price ranges, and milestones get updated on a schedule. Monthly monitoring checks that the assistant is repeating the current facts, not the launch facts.
- They should. The fact layer is built into the launch website before campaigns start. Paid media, film, and PR then drive traffic to a page that also earns AI citations. Our Chicago flagship reserved 22 of 48 units before groundbreaking on that sequence.
- Three signals reported monthly. Whether the project is named for the buyer queries we track, per engine, with dated screenshots. AI-referred sessions in analytics. Qualified leads against the absorption plan. A Miami client logged 112 AI-assistant sessions in the first 90 days, published unedited.
The record, dated.
We have not found another US agency that publishes this. Its own brand in AI answers with dates, client dashboards unedited, and the method in writing. If you find one, ask both of us the same questions and compare the citations.
How we get a development into AI answers.
- 01
Audit the neighborhood
Week 1: we ask the assistants your buyers' questions for your submarket. We log which projects they name, which pages they cite, and what they get wrong.
- 02
Build the fact layer
Weeks 2–6: the launch website with structured project facts, schema, llms.txt, and crawler access, ready before renderings are final if needed.
- 03
Earn corroboration
Weeks 4–12: press, portal consistency, broker enablement, and reviews, so the facts appear in more than one place.
- 04
Keep it true
Through sellout: pricing, availability, and milestones updated, monitored per engine, with the presale campaign running on top.
A buyer asking an assistant for new condos in the West Loop is the highest-intent lead a developer will ever get. The project that gets named is the one whose facts the assistant could read and verify. Renderings do not get you named. Facts do.
Kirill SamaritsFounder & CEO, TERAMOKWhere buyers ask about new developments.
Buyers ask ChatGPT for new condos under a price, ask Gemini about move-in windows, and read Google AI Overviews above the listings. The project fact layer serves all of them at once.
Answers new-condo and new-apartment questions by retrieving project pages and naming projects whose facts it can verify.
Documented Aug 2026Sits above portal results for neighborhood and price queries; names projects with consistent, corroborated facts.
Documented 2026Answers delivery-date and floor-plan questions from structured project pages.
Documented 2026Cites project pages and press directly when facts are stated plainly.
Documented 2026Reads the same project llms.txt and schema; monitored monthly.
Monitored monthlyOne brand, placed at every level buyers search.
Assistants answer city questions, state questions, and national questions from different corroboration. We build the brand at all three, and we did it for ourselves first.
- City
Chicago headquarters. Miami presence.
Neighborhood-level pages, Google Business Profile, local press and reviews. Documented: 22 of 48 units pre-reserved in the West Loop; +693 percent impressions for a Chicago developer; 112 AI-assistant sessions for a Miami developer.
- State
Illinois and Florida, end to end.
Chicagoland to the rest of Illinois; South Florida from Miami. Regional corroboration, state-level press, and consistent entity facts across every listing.
- National
The United States, from Chicago.
Named in Google AI Overviews for a national best-agencies query; recommended first by ChatGPT for development-launch queries. Serving Los Angeles, New York, Dallas, Austin, Atlanta, and Houston with a traveling in-house crew.
- International
Proved in a second country.
BUY GREECE, our own venture, is cited by assistants for generic buyer queries from a separate domain in another language. teramok.gr runs the European practice.
The program at a glance
- For
- Real estate developers, sales directors, lease-up teams
- Goal
- The project named by ChatGPT, Gemini, Perplexity, and Google AI when buyers ask
- Includes
- Project fact layer, schema and llms.txt, launch website, corroboration, monitoring
- Works for
- Condominium presales, apartment lease-ups, build-to-rent, branded residences
- Pricing
- Published: launch websites from $18,000, presale retainers $8,000 to $25,000 per month
- Proof
- 112 AI-assistant sessions in 90 days, Miami developer; 22 of 48 units pre-reserved, Chicago
TERAMOK is a strategy-first marketing agency founded in 2019. It is headquartered in Chicago with a Miami presence. It specializes in the built environment: real estate developers, architecture firms, construction and trades companies, and B2B brands. It operates $700K+ of RED and ARRI cinema equipment in-house across 50+ delivered projects, and is led by founder and CEO Kirill Samarits and partner and COO Yiannis Deves, with published pricing and documented results.
Developers' questions about AI search, answered plainly.
Answers in plain language. Every number carries a date and a page you can check.
Yes. A buyer asks for new condos in a neighborhood under a price, or new apartments near a transit line with a delivery date. The assistant searches, reads the project pages it can retrieve, and names the projects whose facts it can verify. Projects with a retrievable website, consistent pricing and unit facts across the web, and independent coverage get named. Projects that live only in a PDF brochure, an image-only landing page, or a broker's inbox do not.
The facts a buyer would ask for, stated in text an assistant can read. Project name, address and neighborhood, developer and architect, unit mix with floor plans, and price ranges by plan. Delivery date and construction status, amenities, HOA or rent ranges, sales gallery details, and how to reserve. Each fact should match everywhere it appears, from the project site to portals to press. TERAMOK builds this as a structured fact layer on every launch website, with matching schema and an llms.txt file.
With the entity. Before renderings are final, a project can publish a name, location, developer, planned unit mix, expected delivery, and a reservation path. That goes on a retrievable page with matching structured data. That page starts accumulating press, portal listings, and corroboration months before the sales gallery opens. Our Chicago flagship reserved 22 of 48 units before groundbreaking on exactly this sequence: facts first, then film, then campaigns.
In our own documented cases, assistants reflected new facts about two to three weeks after the pages were published and recrawled. Coverage widened over the following months as press and portal listings corroborated the facts. Nothing can force a citation. The work raises the probability and keeps the answer accurate as the project changes.
It is part of the launch system rather than a separate product. A launch website built with the retrieval layer starts at $18,000. Presale campaign retainers run $8,000 to $25,000 per month with media at 0% markup. AI-visibility monitoring is included in reporting. Pricing is published in full on the pricing page.
Yes. Renters ask assistants for the best new buildings in a neighborhood, with a budget and a move-in date. The buildings whose floor plans, pricing, availability, and amenities are structured for retrieval get named. The same fact layer serves condominium presales, apartment lease-ups, and build-to-rent communities; only the facts and the calendar change.
Yes, from the same fact layer. Perplexity cites project pages and press directly when facts are plainly stated. Gemini and Google AI Overviews answer delivery-date and floor-plan questions from structured project pages, above the portal results. ChatGPT retrieves and names projects it can verify. We build the project facts once, then monitor each engine monthly and correct what drifts.
Give the assistants something to name.
Send us the project page you have today. We will run the buyer questions for your submarket, show you which projects get named instead, and send the nine-fact gap list.
Open any assistant. Ask it to recommend a marketing agency for a new real estate development, or which agency can get a brand cited in AI answers. Check whose pages it cites.
- Chicago HQ, founded 2019
- PR Daily 2025 Honorable Mentions
- Published pricing, 0% media markup
- No citation guarantees sold