Identify stores most similar to any brand by products, content, and positioning — enriched with GMV estimates, platform data, cross-border readiness, and tech stack.
=== Similar stores to nordic-home.se ===
1. scandi-living.dk
Similarity: 0.92 | GMV: €2.8M-€4.2M/year
Ships: DK → NO/SE | Platform: Shopify
2. hygge-interiors.no
Similarity: 0.88 | GMV: €1.5M-€2.1M/year
Tech: GA4, Klaviyo | Cross-border: EU-wide
3. minimal-home.fi
Similarity: 0.86 | GMV: €720k-€950k/year
Carrier: PostNord, DHL | Platform: WooCommerce
→ 387 semantically similar stores identifiedWhy Competitor Mapping Is Broken Today
Category-based tools are too broad. Traffic-based tools miss product similarity. Manual discovery is slow and incomplete.
Categories like "Home Decor" or "Lifestyle" are too broad. A minimalist furniture brand doesn't compete with generic home stores, but today's tools treat them the same.
Traffic doesn't equal competition. A store with high traffic and unrelated products is irrelevant for competitive analysis.
Even if you find similar stores, you don't know their GMV tier, cross-border footprint, tech stack, or operational maturity. Strategy becomes guesswork.
ShopRank Semantic Competitor Intelligence
A complete semantic similarity engine for e-commerce — enriched with GMV buckets, cross-border flows, platform data, and tech stack.
What You Get
Not category-based. Not traffic-based. Semantically accurate and rich in business context — GMV, cross-border, tech stack.
See dominant countries, best-selling categories, growth clusters, and cross-border acceptance for your specific niche.
Analyze GMV distribution, carrier use, tech stack maturity, and marketing sophistication across your competitive set.
Example: Home Décor Manufacturer
A Scandinavian furniture brand wanted to understand the real size of the minimalist home décor competitive landscape across Nordics, DACH, and Benelux.
Example anonymized. Results based on realistic aggregated scenarios from the furniture and home décor market.
| Metric | Before ShopRank | With ShopRank | Impact |
|---|---|---|---|
| Time to build competitor map | 4-6 weeks | 3 days | 90% faster |
| Relevant competitors found | 20-40 | 387 stores | 12× insights |
| Cross-border opportunities | Unknown | 178 EU-wide | New markets |
| GMV distribution clarity | None | Full buckets | Data-driven |
| Product strategy insights | Very limited | Segment patterns | High clarity |
"Instead of spending 6 weeks manually searching for competitors, we got 387 semantically similar stores in 3 days — with GMV tiers, cross-border flows, and tech stack data. We identified 178 stores shipping EU-wide that we never knew existed. This changed our entire expansion strategy."
— Head of Strategy, Scandinavian Furniture Brand
What's Included in Competitor Intelligence Report
Delivery formats: CSV, XLSX, or JSON. Ready for BI tools, competitive analysis decks, or CRM imports.
Results range: From 20 to 5,000 stores depending on your scope and similarity threshold. Multi-country bundles available.
How It Works
Provide a URL (e.g., "nordic-home.se"), a category ("minimalist Scandinavian furniture"), or a product description. We'll use it as the semantic anchor.
Our similarity engine analyzes 15M+ stores, finding the closest semantic matches. Clusters competitors and adds GMV, carriers, PSP, cross-border, platform data.
Get ranked list of similar stores with similarity scores, GMV tiers, cross-border flows, and operational context. CSV, XLSX, or JSON format.
Ideal Use Cases
Build a true map of the competitive landscape in days instead of weeks. No category noise, just semantic accuracy.
Find similar stores across Europe. Understand where your niche is strongest and identify expansion opportunities.
Find acquisition targets semantically aligned with your portfolio. Assess market size and competitive density by GMV tier.
Find lookalike audience segments at merchant level. Understand how competitors position, operate, and ship cross-border.
Find answers to common questions about Semantic Competitor Intelligence.
Yes. Provide a URL, a description (e.g., "luxury wallpaper retailer"), or a category prompt. We'll use it as the semantic anchor to find similar stores.
We use multi-layer semantic signals across product descriptions, site text, categories, and metadata. Similarity scores reflect product and content alignment, not just traffic or category tags.
Yes. Similarity × GMV is one of the strongest use cases. For example: "Find stores similar to X with €1M-€10M annual GMV in Nordics region."
Yes. EU-wide, US, APAC, and LATAM supported. Multi-country bundles available with volume pricing.
From 20 to 5,000 stores depending on your scope and similarity threshold. You control the precision vs. coverage tradeoff.
No problem. You can provide a category description ("minimalist Scandinavian furniture") or product type ("eco-friendly outdoor gear"). The semantic engine will find relevant stores.
Pricing depends on scope (number of results, countries covered, enrichment level). Contact sales for a quote based on your requirements.