ให้เช่า บ้านเดี่ยว คอนโด ทาวน์โฮม ทาวน์เฮ้าส์ ที่ดิน - Dot Property
ซื้อขาย (dotproperty.co.th) scores 70 out of 100 on Brand Analyzer, placing it in the Developing tier among Other brands, in the 37th percentile of 9722 Other brands.
Dot Property (dotproperty.co.th) is a Thailand-based online real estate listing platform that aggregates buy and rent listings for houses, condominiums, townhomes, townhouses, and land across the country. The site features more than 200,000 units and allows users to search by project name, location, or BTS/MRT station. It also offers price comparison tools and information about nearby amenities, helping users find properties in areas of interest.
| Brand Name | ซื้อขาย |
|---|---|
| Domain | dotproperty.co.th |
| Industry | Other |
| Main Competitors | DDproperty (73/100), Hipflat (60/100), Livinginsider (69/100), Baania (75/100), Property Guru (82/100), Thailand Property (76/100) |
Moz Domain Authority 33/100 vs category average 37 / leader 94 - limited third-party links, so AI systems rarely encounter mentions of the brand.
Ranked #156,388 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
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 "Dot Property รวมประกาศซื้อขาย-ให้เช่า บ้าน คอนโด ทาวน์โฮม ทาวน์เฮ้าส์ ที่ดิน ครอบคลุมทุกทำเลของไทย กว่า 200,000 ยูนิต ค้นหาง่ายจากชื่อโครงการ ทำเล หรือสถานี BTS MRT สามารถเปรียบเที…" (Meta description: 19 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 46 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 TH-only, limiting citation in English-language AI answers.
Detected tech stack: Next.js, Cloudflare.
Social footprint: verified profiles on X (Twitter), Instagram; no detected presence on Facebook, LinkedIn, YouTube, GitHub - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
ซื้อขาย's main competitors in Other: DDproperty (73/100), Hipflat (60/100), Livinginsider (69/100), Baania (75/100), Property Guru (82/100).
Sources: Brand Analyzer scan
ซื้อขาย has limited AI-search visibility, scoring 25/100 on Brand Analyzer's AI visibility composite (visibility 5, trust 39, recommendation 45). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: ซื้อขาย official site
The platform offers property listing services for sale and rental of houses, condominiums, townhomes, townhouses, and land, along with search tools by project, location, or transit station, and price comparison with nearby location information.
Sources: ซื้อขาย official site
ซื้อขาย scores 45/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Other options. Recommendation depends on crawlability, structured data, and category authority.
Sources: ซื้อขาย official site
ซื้อขาย (Dot Property) is an online real estate listing platform in Thailand that aggregates advertisements for buying, selling, and renting homes, condominiums, townhomes, townhouses, and land across the country.
Sources: ซื้อขาย official site
It compiles and displays real estate listings-covering houses, condos, townhomes, townhouses, and land-for sale or rent throughout Thailand, allowing users to search by project name, location, or BTS/MRT station, and to compare prices and nearby amenities.
Sources: ซื้อขาย official site
ซื้อขาย 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: ซื้อขาย official site
It is known for hosting a large database of more than 200,000 property units across Thailand and for its search functionality based on project names, locations, and proximity to BTS/MRT stations.
Sources: ซื้อขาย official site
It is used by individuals and organizations in Thailand looking to buy, sell, or rent residential properties such as houses, condos, townhomes, townhouses, and land.
Sources: ซื้อขาย official site
ซื้อขาย scores 25/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
ซื้อขาย has a weak AI-visibility profile at 25/100 - 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 (5/100). It benefits from a global traffic rank of #156,388 (Tranco), 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, no strong Wikidata entry and a low Moz Domain Authority of 33/100.
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 ซื้อขาย: DocuDriven (70/100), DoanhNghiep.Biz (70/100), Dreamland (70/100), Dussmann (70/100).
A step up - brands to learn from: XXXLutz (71/100), WWIN (71/100).
Category leader: Accenture (97/100).
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