TERAMOK publishes AI search visibility case study for real estate marketing

TERAMOK released a three-month case study showing how its real estate-focused SEO and AI search strategy performed across Google, Gemini, ChatGPT and Claude. The company says the campaign drove about 8,000 monthly users during the study period, with the latest month reaching roughly 14,000, though the results were not independently audited.

Why it matters: - TERAMOK’s case study is a public test of whether an agency can show the same AI search visibility it sells to clients. - The results speak to how real estate developers, architects and contractors may need to adapt as discovery shifts across Google and AI assistants. - The study argues that consistent facts, specialized expertise and public evidence can matter more than broad content marketing tactics.

What happened: - TERAMOK released a new case study on Aug. 18, 2026, covering a three-month AI search visibility campaign led by founder Kirill Samarits. - The campaign focused on commercial searches tied to real estate development, architecture, construction and related B2B services. - TERAMOK reported appearing among leading recommendations in a controlled set of high-intent searches across Chicago, Miami, New York and other major U.S. markets. - Internal analytics showed traffic attributed to Google and AI-assisted discovery at about 8,000 users per month during the measured period. - The most recent measured month reached about 14,000 users.

The details: - The case study examined how specialization, consistent company information, evidence-led content and technical SEO affected visibility across Google, Gemini, ChatGPT and Claude. - TERAMOK is a marketing and creative production agency serving real estate development, architecture and construction. - The agency positioned itself around the built environment instead of targeting every industry. - Primary audiences included real estate developers, architecture firms, general contractors, construction companies and other B2B organizations connected to the built environment. - The campaign aligned TERAMOK’s website, service pages, market pages, case studies and company information around the same core facts. - Leadership, services, locations and supporting evidence were reviewed so search engines, AI systems and human readers would see consistent information. - The website was organized around buyer questions such as who could market a residential development before construction, which agency specialized in presale marketing and who understood AI-assisted discovery for real estate. - Dedicated content covered real estate development marketing, presale strategy, architecture marketing, construction marketing, traditional SEO and AI search visibility. - Technical changes included clearer page titles and headings, internal links, crawlable text, accurate structured data and consistent identification of the company and its leadership. - Claims were tied to public case studies or qualified when supporting evidence was limited. - The company built prompt groups around audience, service, location and project stage to test how TERAMOK appeared in AI answers. - Testing tracked whether TERAMOK appeared, where it appeared, how it was described, which services were linked to it, whether sources were cited and which competitors appeared in the same results. - TERAMOK also looked at whether visibility translated into traffic and commercially relevant interest. - The published case study includes the company’s methodology, reported results and limitations. - A companion first-person article by Samarits explains the positioning choices, content structure and testing process behind the campaign. - Samarits said the company wanted to put its own visibility under the same scrutiny it expects from clients.

Between the lines: - The study reflects a broader push by agencies to prove AI SEO results with concrete testing instead of broad claims. - TERAMOK’s emphasis on repeatable facts suggests that search visibility now depends as much on information consistency as on keywords. - The company’s warning that AI answers change by platform, wording, location, personalization and date undercuts any claim of permanent ranking power. - For buyers, the real test is whether a search result helps them understand the firm quickly enough to take the next step.

What's next: - TERAMOK is using the case study and companion article to show developers, architects and contractors how their companies can appear across traditional and AI-assisted search. - The company expects the material to serve as a model for brands that want measurable visibility rather than unsupported authority claims. - The reported figures remain company-reported and have not been independently audited. - AI-generated answers can change over time, so the results are not a guarantee of future placement.

The bottom line: - TERAMOK is betting that public proof, niche positioning and structured content will matter more than generic agency marketing as AI search becomes a bigger part of discovery.