eTilbudsavis Brand Score: 76/100 - Brand-Ready tier

Spar penge og tid hver dag

eTilbudsavis (tilbudsavis.dk) scores 76 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among E-commerce brands, Other brands, in the 46th percentile of 23976 E-commerce brands.

AI Snapshot

eTilbudsavis (tilbudsavis.dk) is a Danish online platform that aggregates weekly offers and promotional catalogs ('tilbudsaviser') from a wide range of Danish retailers, including grocery, home improvement, home goods, electronics, and cross-border shopping stores. It allows price-conscious consumers to browse and compare deals from multiple stores in one place, via web or mobile app (iPhone, iPad, Android). The service aims to help households save time and money on everyday purchases by centralizing retail offers that would otherwise be scattered across individual store websites and printed flyers.

Key facts about eTilbudsavis
Brand NameeTilbudsavis
Domaintilbudsavis.dk
IndustryE-commerce, Other
Main CompetitorsTjek (78/100), Minetilbud (73/100), PriceRunner (82/100), Reklamehæfter.dk

Evidence

Moz Domain Authority 3/100 vs category average 41 / leader 95 - 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 "Multi-værktøjet til at spare penge og tid i hverdagen. Tilbud og tilbudsaviser er samlet fra butikker inden for dagligvarer, gør-det-selv, bolig, grænsehandel, elektronik og meget …" (Meta description: 33 words. OG description present and descriptive) - this is the summary AI engines are most likely to quote.

Structured data on the homepage: 1 JSON-LD block(s), Organization schema, Breadcrumb/Website schema, og:title, og:description, og:image, og:type, canonical. Adding FAQ schema would further help AI crawlers parse the brand's identity.

AI-crawler access: No robots.txt found (default: all bots allowed, but explicit file preferred) - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.

Content is DA-only, limiting citation in English-language AI answers.

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

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

Does AI know eTilbudsavis?

Live results from asking a general-purpose AI assistant about the brand, checked October 2026.

When asked "What is eTilbudsavis?", Claude could identify the brand as of October 2026. eTilbudsavis (tilbudsavis.dk) is a Danish digital platform that aggregates weekly flyers and catalogs from retailers like supermarkets and department stores, letting users browse current offers and deals online instead of paper flyers. It was later rebranded internationally as Sh Best known for Digitizing weekly retail flyers and deals for Danish consumers.

When asked "Best brands similar to eTilbudsavis?", Claude would recommend eTilbudsavis as of October 2026. It's a well known Danish service for browsing store offers digitally, so it fits naturally if someone asks about deal aggregation or e-commerce flyer platforms in Denmark.

People Also Ask About eTilbudsavis

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

Who are eTilbudsavis's main competitors?

eTilbudsavis's main competitors in E-commerce: Tjek (78/100), Minetilbud (73/100), PriceRunner (82/100).

Sources: Brand Analyzer scan

What products or services does eTilbudsavis offer?

eTilbudsavis offers a platform-accessible via website and mobile apps for iPhone, iPad, and Android-that aggregates digital tilbudsaviser (offer catalogs) and individual promotional deals from Danish retailers. Categories covered include groceries (dagligvarer), home improvement (gør-det-selv), housing/home goods (bolig), electronics, and cross-border shopping (grænsehandel), allowing users to browse and compare offers in one place.

Sources: eTilbudsavis official site

What is eTilbudsavis?

eTilbudsavis is a Danish online and mobile platform that collects and displays weekly offers and promotional catalogs ('tilbudsaviser') from a broad range of retailers in Denmark, covering categories such as groceries, home improvement, housing, electronics, and cross-border shopping. It is available via the website tilbudsavis.dk as well as apps for iPhone, iPad, and Android.

Sources: eTilbudsavis official site

What does eTilbudsavis do?

eTilbudsavis gathers tilbudsaviser (digital flyer catalogs) and individual offers from many Danish stores into a single platform, letting users browse, search, and compare deals across categories like groceries, home improvement, electronics, and more. Users can access these offers through the website or dedicated mobile apps, making it easier to plan purchases and find savings without checking each retailer separately.

Sources: eTilbudsavis official site

Does ChatGPT recommend eTilbudsavis?

eTilbudsavis scores 34/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest E-commerce options. Recommendation depends on crawlability, structured data, and category authority.

Sources: eTilbudsavis official site

How can eTilbudsavis improve its AI discoverability?

eTilbudsavis 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: eTilbudsavis official site

What is eTilbudsavis known for?

eTilbudsavis is known for being a centralized hub of Danish retail offers and catalogs, often described as a 'multi-tool' for saving money and time. It is particularly recognized for aggregating tilbudsaviser from many different store categories-groceries, DIY/home improvement, electronics, and cross-border shopping-into one accessible web and app experience.

Sources: eTilbudsavis official site

Who uses eTilbudsavis?

eTilbudsavis is used by price-conscious Danish consumers and households who want to find and compare the best offers across categories such as groceries, electronics, home improvement, and housing. Its target audience includes everyday shoppers looking to plan purchases efficiently and save money by accessing multiple retailers' promotional catalogs in a single platform, via web or mobile app.

Sources: eTilbudsavis official site

Recommendations

AI visibility

eTilbudsavis scores 23/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.

eTilbudsavis has a weak AI-visibility profile at 23/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (34/100) and its weakest is visibility (12/100). It benefits from 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 3/100. In a live check, Claude could already identify eTilbudsavis from memory (October 2026) - a sign these signals are paying off.

Visibility - 12/100

Trust - 30/100

Recommendation likelihood - 34/100

Score breakdown - 7 dimensions

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.

Peer brands

Ranked closest to eTilbudsavis: Tiffany & Co. (76/100), TICKETS.KE (76/100), Tiller (76/100), Timberland (76/100).

A step up - brands to learn from: ZuPreem (81/100), Zulay Kitchen (81/100).

Category leader: DHL (97/100).

Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.

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