Daraz Brand Score: 72/100 - Brand-Ready tier

Best Deals, Prices & Discounts

Daraz (daraz.com.np) earns a Brand Analyzer score of 72 out of 100, placing it in the Brand-Ready tier among E-commerce brands. Among 2261 E-commerce brands analyzed, Daraz ranks in the 69th percentile (category average 68, leader 97). 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. Dimension scores: Name Quality 100/100, Digital Presence 71/100, Visual Identity 95/100, Messaging Clarity 100/100, Trust Foundation 62/100, AI Discoverability 53/100, Brand Authority 46/100.

AI Snapshot

Daraz (daraz.com.np) is one of the largest online shopping platforms in Nepal, operating under an e-commerce model. It serves customers across the country, including major cities such as Kathmandu and Biratnagar. The platform positions itself as a destination for hassle-free shopping, offering deals and discounts, a mobile app, and nationwide delivery options. Its mission is to provide convenient online shopping experiences to Nepali consumers.

Key facts about Daraz

Brand Name	Daraz
Domain	daraz.com.np
Industry	E-commerce
Main Competitors	SastoDeal, HamroBazar, Gyapu, Muncha, Foodmandu

Evidence

Moz Domain Authority 45/100 vs category average 29 / leader 95 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.

Ranked #46,883 on the Tranco list of most-visited sites - strong traffic reinforces the brand's prominence to AI models.

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 "Looking for Online Shopping Nepal? Daraz.com.np Online Shopping Site is One of the Largest Online Shopping Store in Kathmandu, Biratnagar Across the Country - Shop Now!" (Meta description: 26 words (ideal length). No OG description (falling back to meta)) - this is the summary AI engines are most likely to quote.

Structured data on the homepage: No structured data or Open Graph tags detected. Adding Organization and 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.

Social footprint: verified profiles on LinkedIn, GitHub; no detected presence on Facebook, Instagram, YouTube, X (Twitter) - consistent profiles reinforce the brand's identity across the web.

0 Reddit mentions - community discussion signals real-world reputation to AI models.

Score breakdown - 7 dimensions

• Name Quality - 100/100
• Digital Presence - 71/100
• Visual Identity - 95/100
• Messaging Clarity - 100/100
• Trust Foundation - 62/100
• AI Discoverability - 53/100
• Brand Authority - 46/100

AI visibility

Daraz scores 40/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.

Daraz has a limited AI-visibility profile at 40/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (65/100) and its weakest is visibility (27/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #46,883 (Tranco) and a Moz Domain Authority of 45/100. The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data and thin schema.org structured data.

Visibility - 27/100

• Wikipedia presence - 0/40
• Wikidata entity - 17/25
• Web popularity (Tranco) - 10/20
• Reddit visibility - 0/15

Trust - 39/100

• Domain Authority - 15/30
• Backlink trust (spam score) - 10/10
• Schema.org structured data - 0/25
• Knowledge graph anchors (sameAs) - 0/15
• llms.txt convention - 10/10
• Reddit sentiment (heuristic) - 4/10

Recommendation likelihood - 65/100

• robots.txt AI bot permissions - 30/30
• Sitemap.xml presence - 10/10
• Help center / Docs hub - 10/15
• FAQ presence - 0/15
• Category-relative authority - 15/20
• Category leader signals - 0/10

People Also Ask About Daraz

Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.

Who are Daraz's main competitors?

Daraz's main competitors include SastoDeal, HamroBazar, Gyapu, Muncha, Foodmandu. These companies compete in the E-commerce space for similar customers, offering comparable products or services.

Sources: Daraz official site

What are the best alternatives to Daraz?

Popular alternatives to Daraz include SastoDeal, HamroBazar, Gyapu, Muncha, Foodmandu. Each is an established option in the E-commerce space; the best fit depends on your specific needs, budget, and required features.

Sources: Daraz official site

How visible is Daraz in AI search?

Daraz has limited AI-search visibility, scoring 40/100 on Brand Analyzer's AI visibility composite (visibility 27, trust 39, recommendation 65). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.

Sources: Daraz official site

What is Daraz?

Daraz is one of the largest online shopping platforms in Nepal, accessible at daraz.com.np. It operates as an e-commerce store catering to customers across the country, from Kathmandu to Biratnagar. The platform is positioned as a leading online shopping destination in Nepal, focused on delivering hassle-free shopping with deals and discounts.

Sources: Daraz official site

Daraz vs SastoDeal: how do they compare?

Daraz and SastoDeal are competitors in E-commerce. They target overlapping audiences; the right choice depends on your specific needs and priorities.

Sources: Daraz official site

What does Daraz do?

Daraz operates as an online shopping platform in Nepal, enabling customers to browse and purchase a wide range of products through its website and mobile app. It offers delivery options nationwide, targeting shoppers across major and smaller cities. The platform emphasizes providing deals, discounts, and a convenient shopping experience for Nepali consumers.

Sources: Daraz official site

Does ChatGPT recommend Daraz?

Daraz scores 65/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest E-commerce options. Recommendation depends on crawlability, structured data, and category authority.

Sources: Daraz official site

How can Daraz improve its AI discoverability?

Daraz 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: Daraz official site

Who uses Daraz?

Daraz is used by online shoppers in Nepal who are seeking deals, discounts, and convenient nationwide delivery. Its customer base spans across the country, including residents of major cities such as Kathmandu and Biratnagar, as well as shoppers in other areas of Nepal looking for accessible e-commerce options.

Sources: Daraz official site

What is Daraz known for?

Daraz is known for being one of the largest online shopping stores in Nepal. It is recognized for its wide range of products, deals and discounts, free delivery options, and a downloadable mobile app. The platform serves customers across the country, including major hubs like Kathmandu and Biratnagar, making it a prominent name in Nepali e-commerce.

Sources: Daraz official site

Why is Daraz popular?

According to the available information, Daraz is popular because it is one of the largest online shopping platforms in Nepal, offering a wide range of products, deals, discounts, free delivery options, and a mobile app for convenient access. It serves customers across the country, from Kathmandu to Biratnagar, making online shopping accessible nationwide.

Sources: Daraz official site

Recommendations

• Add structured data and Open Graph tags - Add JSON-LD structured data (Organization, FAQ schemas) and complete Open Graph tags (og:title, og:description, og:image, og:type). This helps AI systems and social platforms accurately represent your brand. (impact: high, effort: moderate)
• Establish your social media presence - Create profiles on major platforms (LinkedIn, X, Instagram, Facebook, YouTube) using a consistent handle derived from your brand name. Link to them from your website footer. (impact: medium, effort: quick_win)
• Add an FAQ section - Create a Frequently Asked Questions section with FAQ schema markup. AI systems often source answers directly from FAQ content. (impact: medium, effort: moderate)
• Build a content ecosystem - Add a blog, documentation, or help center to your website. A rich content ecosystem signals brand maturity and authority. (impact: medium, effort: major)

Peer brands

Ranked closest to Daraz: Dangdang (72/100), Cycletyres (72/100), deeove (72/100), DeutschlandCard (72/100).

A step up - brands to learn from: YesStyle (81/100), VOC AI (81/100).

Category leader: Atom (97/100).