아파트 시세·분양·입주 한눈에
R114 (r114.com) scores 74 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Real Estate brands, Technology brands, in the 44th percentile of 12900 Real Estate brands.
R114 (부동산114, r114.com) is a South Korean real estate information platform that provides nationwide apartment pricing, pre-sale (분양) listings, and subscription (청약) schedules through a map-based interface. It combines data-driven reports with expert commentary to help users understand real estate market trends. The platform targets homebuyers, pre-sale applicants, investors, and the general public interested in residential real estate. It operates within the Real Estate and Technology categories in Korea.
| Brand Name | R114 |
|---|---|
| Domain | r114.com |
| Industry | Real Estate, Technology |
| Main Competitors | Naver Real Estate, Zigbang (80/100), Dabang (78/100), KB Real Estate (KB부동산) (72/100), Hogangnono (74/100) |
Moz Domain Authority 30/100 vs category average 36 / leader 93 - limited third-party links, so AI systems rarely encounter mentions of the brand.
No Wikipedia presence was found - a major gap, since Wikipedia is among the most heavily weighted sources in AI training data.
The homepage meta description reads "전국 분양 단지를 지도에서 지역·시공사·분양 시기별로 찾아보고 청약 일정을 확인하세요." (Meta description: 10 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 2 JSON-LD block(s), Organization schema, Breadcrumb/Website schema, og:title, og:description, og:image, og:type, Twitter cards, canonical. Adding FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt present, no AI bot restrictions - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Content is KO-only, limiting citation in English-language AI answers.
Detected tech stack: Next.js.
Social footprint: verified profiles on X (Twitter), Instagram, YouTube, GitHub; no detected presence on LinkedIn, Facebook - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Live results from asking a general-purpose AI assistant about the brand, checked October 2026.
When asked "What is R114?", Claude could not identify the brand as of October 2026. I don't recognize R114 or r114.com specifically, likely because it's a small or regional real estate company without much presence in my training data.
When asked "Best brands similar to R114?", Claude would not surface R114 as of October 2026. I can't recommend a company I don't have verified information about.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
R114's main competitors in Real Estate: Zigbang (80/100), Dabang (78/100), KB Real Estate (KB부동산) (72/100), Hogangnono (74/100).
Sources: Brand Analyzer scan
R114 has limited AI-search visibility, scoring 27/100 on Brand Analyzer's AI visibility composite (visibility 13, trust 32, recommendation 45). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: R114 official site
R114 offers a map-based search service for nationwide apartment developments, allowing users to filter by region, construction company, and sale timing. It also provides housing subscription (청약) schedule information, apartment sales price data, move-in (입주) information, and data-based reports paired with expert commentary on real estate market trends.
Sources: R114 official site
R114 scores 45/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Real Estate options. Recommendation depends on crawlability, structured data, and category authority.
Sources: R114 official site
R114 (부동산114) is a South Korean real estate information platform accessible at r114.com. It provides nationwide apartment pricing, pre-sale (분양) unit listings, and housing subscription (청약) schedules through a map-based interface, combining data analytics with expert commentary to support real estate market understanding and decision-making.
Sources: R114 official site
R114 aggregates and presents real estate data such as nationwide apartment sales prices, new pre-sale developments, and move-in (입주) information on an interactive map. Users can search by region, construction company, and sale timing, and check subscription (청약) schedules. The platform pairs this data with reports and expert analysis to help users interpret real estate market trends.
Sources: R114 official site
R114 can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.
Sources: R114 official site
R114 is known for its map-based search tool that lets users browse nationwide apartment pre-sale developments by region, construction company (시공사), and sale timing, along with checking housing subscription (청약) schedules. It is also known for combining real estate data with expert reports and commentary.
Sources: R114 official site
R114 is used by prospective homebuyers, pre-sale (분양) applicants, and real estate investors, as well as members of the general public who want to track real estate market trends. Its target audience includes actual end-users interested in apartment purchases and subscription opportunities, as well as those seeking general real estate market insights.
Sources: R114 official site
R114 scores 27/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
R114 has a weak AI-visibility profile at 27/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (45/100) and its weakest is visibility (13/100). It benefits from a Wikidata knowledge-graph entry, open access for AI crawlers (GPTBot, ClaudeBot, etc.) and machine-readable schema.org markup. The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, a low Moz Domain Authority of 30/100 and no llms.txt to steer AI to its best pages. In a live check (October 2026), Claude could not identify R114 from memory, confirming the gaps above.
The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark.
Ranked closest to R114: Qualitas (74/100), Puumarket (74/100), RadonAway (74/100), Rafael de la-Hoz (74/100).
A step up - brands to learn from: Zucchetti (81/100), Zucchetti (81/100).
Category leader: Chaos (95/100).
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