TERAMOK, a marketing agency serving real estate developers, architecture firms and contractors, has released a case study documenting a three-month AI search visibility campaign. The company reports that it appeared among leading recommendations across Google, Gemini, ChatGPT and Claude for high-intent searches in Chicago, Miami, New York and other major U.S. markets during controlled testing.
According to internal company analytics, traffic attributed to Google and AI-assisted discovery reached approximately 8,000 users per month during the measured period. The most recent month reached approximately 14,000 users. These figures are company-reported and have not been independently audited.
The study was led by Kirill Samarits, founder and CEO of TERAMOK. It examines how specialization, consistent company information, evidence-led content and technical SEO affected the agency's own discoverability in commercially relevant searches used by real estate developers and construction companies.
Putting the company under client-level pressure
Samarits designed the campaign around a direct question: Could TERAMOK demonstrate the same search visibility it promises to build for clients? The agency entered Chicago as a relatively new local brand competing with established marketing firms, without the same search history or local recognition.
"In my work, a title means nothing if the market cannot verify it," Samarits said. "I wanted to put our own company under the same pressure we accept from a client. If we claim to understand search for real estate, architecture and construction, our visibility should be measurable and repeatable. The proof should live in public, not inside a sales presentation."
Rather than competing as a general agency, TERAMOK concentrated its U.S. positioning around the built environment. The positioning was applied across its website, service pages, market pages, case studies and company information, so search engines, AI systems and human readers encountered the same basic facts across its public presence.
Building content around buyer questions
The campaign started with the questions prospective clients ask before selecting a marketing partner: who can market a residential development before construction, which agency specializes in presale marketing, who works with architecture firms, and which company understands SEO and AI-assisted discovery for real estate development.
TERAMOK organized its website around these commercial decisions instead of producing a large volume of generic articles. Technical work included clearer page titles and headings, natural internal links, crawlable text, accurate structured data and consistent identification of the company and its leadership. Claims were connected to public case studies or qualified where supporting evidence was limited.
For professionals tracking how AI changes client discovery in the built environment, the case study offers a practical reference point. The approach - consistent facts, specialized expertise and public evidence - is relevant to any firm trying to understand why some companies surface in AI answers while others don't. Related coverage of AI for Real Estate & Construction and AI for Marketing explores similar questions about how AI systems evaluate and recommend businesses.
Testing beyond screenshots
The company created groups of prompts based on audience, service, location and project stage. Testing tracked whether TERAMOK appeared, where it appeared, how the company was described, which services were associated with it, whether sources were cited and which competitors appeared in the same answers.
"AI visibility should not become another collection of impressive screenshots," Samarits said. "The useful question is whether the right client can discover the company, understand exactly what it does and find enough evidence to take the next step."
The published case study presents the methodology, reported results and limitations. A companion first-person article by Samarits explains the positioning decisions, content structure and testing process behind the campaign. AI-generated answers can change according to platform, wording, location, personalization and date, so the results do not represent a permanent ranking or a guarantee that TERAMOK will appear in every search.
Why this matters for real estate and construction professionals
For developers, architects and contractors evaluating marketing partners, the case study provides a concrete way to assess AI search claims. Instead of relying on a single screenshot or a vendor's promise, firms can ask whether an agency can document its own visibility across multiple AI platforms, over time, for commercially relevant searches. The study also suggests that specialized positioning and verifiable evidence may carry more weight with AI systems than broad authority claims or mass-produced content.
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