マンション相場価格がいますぐわかる
IESHIL（イエシル） (ieshil.com) scores 74 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Real Estate brands, Technology brands, SaaS brands, in the 44th percentile of 12900 Real Estate brands.
IESHIL（イエシル）is a Japanese real estate information website that provides market valuation services for used (pre-owned) condominiums. Using big data-approximately 90 million rental and sales transaction records-combined with patented valuation technology, it estimates unit-level prices and disaster risk information. The service aims to support individuals and investors in making informed buying, selling, and investment decisions, and also considers partnerships with real estate companies.
| Brand Name | IESHIL（イエシル） |
|---|---|
| Domain | ieshil.com |
| Industry | Real Estate, Technology |
| Main Competitors | SUUMO (75/100), LIFULL HOME'S (66/100), at home (81/100), マンションナビ (69/100), Yahoo!不動産 |
Moz Domain Authority 36/100 vs category average 36 / leader 93 - a strong backlink profile, so AI systems frequently 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 "不動産情報サイトIESHIL（イエシル）は、中古マンションの市場価値を査定するサービスです。「売りたい」「買いたい」あのマンションの相場情報を、ビッグデータを使って高精度に分析。不動産物件の最適な売買をサポートします。" (Meta description too short (1 words). OG description present but brief) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 1 JSON-LD block(s), Breadcrumb/Website schema, og:title, og:description, og:image, og:type, Twitter cards. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt mentions GPTBot, ClaudeBot, PerplexityBot - all allowed - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Content is JA-only, limiting citation in English-language AI answers.
Social footprint: verified profiles on Facebook, X (Twitter), Instagram, YouTube, GitHub; no detected presence on LinkedIn - 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 IESHIL（イエシル）?", Claude could identify the brand as of October 2026. IESHIL（イエシル）is a Japanese real estate website operated by Tsukuruba Inc. that provides AI-driven price estimates and market data for condominiums (mansions) across Japan, helping users check estimated resale values and area price trends. Best known for AI-based mansion (condominium) price valuation and market data in Japan.
When asked "Best brands similar to IESHIL（イエシル）?", Claude would recommend IESHIL（イエシル） as of October 2026. It's a well-known Japanese proptech tool for condo valuation, so it fits naturally if someone asks about similar Japanese real estate price-check services.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
IESHIL（イエシル）'s main competitors in Real Estate: SUUMO (75/100), LIFULL HOME'S (66/100), at home (81/100), マンションナビ (69/100).
Sources: Brand Analyzer scan
IESHIL（イエシル） has limited AI-search visibility, scoring 26/100 on Brand Analyzer's AI visibility composite (visibility 12, trust 30, recommendation 45). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: IESHIL（イエシル） official site
IESHIL offers a condominium market valuation service that estimates the price of individual pre-owned apartment units using big data and patented valuation technology. It also provides disaster risk information for properties, supporting decision-making for buying, selling, and investing in real estate.
Sources: IESHIL（イエシル） official site
IESHIL（イエシル） 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: IESHIL（イエシル） official site
IESHIL（イエシル）is a Japanese real estate information website that offers a market valuation service for pre-owned (used) condominiums. It uses big data analysis to estimate the market value of individual apartment units, helping users considering buying or selling to understand current pricing.
Sources: IESHIL（イエシル） official site
IESHIL analyzes approximately 90 million pieces of rental and sales transaction data using patented valuation technology to estimate the price of specific condominium units. It also provides disaster risk information related to properties, supporting purchase, sale, and investment decisions for individuals, investors, and partner real estate companies.
Sources: IESHIL（イエシル） official site
IESHIL（イエシル） 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: IESHIL（イエシル） official site
IESHIL is used by individuals considering buying or selling a pre-owned condominium, real estate investors seeking market value and risk data, and real estate companies exploring potential partnerships with the platform.
Sources: IESHIL（イエシル） official site
IESHIL is known for its big-data-driven, patented valuation technology that estimates market prices for individual pre-owned condominium units in Japan, rather than providing only general area-level price averages.
Sources: IESHIL（イエシル） official site
IESHIL（イエシル） scores 26/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
IESHIL（イエシル） has a weak AI-visibility profile at 26/100 - 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 (12/100). It benefits from open access for AI crawlers (GPTBot, ClaudeBot, etc.). The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, no strong Wikidata entry and a low Moz Domain Authority of 36/100. In a live check, Claude could already identify IESHIL（イエシル） from memory (October 2026) - a sign these signals are paying off.
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 IESHIL（イエシル）: Reality.iDNES.cz (74/100), TimBrik (74/100), ietty (74/100), ANDMORE (74/100).
A step up - brands to learn from: Zucchetti (81/100), Zucchetti (81/100).
Category leader: Chaos (95/100).
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