Virtual shopper research in 3 days
ShopperFacts (shopperfact.com) earns a Brand Analyzer score of 60 out of 100, placing it in the Developing tier among SaaS brands, Marketing & Advertising brands. Among 12358 SaaS brands analyzed, ShopperFacts ranks in the 13th percentile (category average 69, 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 78/100, Digital Presence 71/100, Visual Identity 93/100, Messaging Clarity 95/100, Trust Foundation 43/100, AI Discoverability 85/100, Brand Authority 6/100.
ShopperFacts is a consumer-behaviour research specialist founded in 2014, operating in the SaaS and Marketing & Advertising categories. The company runs photorealistic 3D virtual-shop and e-commerce studies across 40+ markets. Its browser-based platform captures natural shopper interactions as structured data, including eye-path tracking and add-to-basket events. Studies are delivered within three working days globally, serving brands and companies seeking data-driven insights into retail and e-commerce consumer behaviour.
| Brand Name | ShopperFacts |
|---|---|
| Domain | shopperfact.com |
| Industry | SaaS, Marketing & Advertising |
| Founded | 2014 |
| Main Competitors | Behaviorally, Savanta, Focal Research, Kantar, NIQ (NielsenIQ), Ipsos |
Moz Domain Authority 12/100 vs category average 28 / leader 99 - 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 "ShopperFacts is a consumer-behaviour research specialist founded in 2014, running photorealistic 3D virtual-shop and e-commerce studies in 40+ markets for the world" (Meta description: 22 words (ideal length). 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, 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.
Social footprint: verified profiles on Facebook, Instagram; no detected presence on X (Twitter), 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.
ShopperFacts scores 21/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
ShopperFacts has a weak AI-visibility profile at 21/100 - 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 (0/100). 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 12/100.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
ShopperFacts offers browser-based photorealistic 3D virtual-shop studies and e-commerce research studies. These products capture natural shopper interactions as structured data, including eye-path tracking and add-to-basket events. The service is designed for global deployment across 40+ markets and is delivered within three working days. The company operates within the SaaS and Marketing & Advertising categories, positioning its offerings as tools for data-driven consumer-behaviour research in retail and e-commerce contexts.
Sources: ShopperFacts official site
ShopperFacts's main competitors include Behaviorally, Savanta, Focal Research, Kantar, NIQ (NielsenIQ). These companies compete in the SaaS space for similar customers, offering comparable products or services.
Sources: ShopperFacts official site
ShopperFacts is a consumer-behaviour research specialist founded in 2014. It operates as a SaaS and Marketing & Advertising company focused on virtual retail research. The company provides photorealistic 3D virtual-shop and e-commerce study environments delivered through a browser-based platform. It serves brands and companies looking to understand shopper behaviour across retail and e-commerce contexts in more than 40 global markets.
Sources: ShopperFacts official site
ShopperFacts runs photorealistic 3D virtual-shop and e-commerce studies designed to capture natural shopper interactions. Its browser-based platform records structured data including eye-path tracking and add-to-basket events, replicating realistic in-store and online shopping environments. Studies are conducted across 40+ markets and delivered within three working days globally, enabling brands and researchers to obtain fast, data-driven insights into consumer behaviour without requiring physical retail settings.
Sources: ShopperFacts official site
Popular alternatives to ShopperFacts include Behaviorally, Savanta, Focal Research, Kantar, NIQ (NielsenIQ). Each is an established option in the SaaS space; the best fit depends on your specific needs, budget, and required features.
Sources: ShopperFacts official site
ShopperFacts has low AI-search visibility, scoring 21/100 on Brand Analyzer's AI visibility composite (visibility 0, trust 34, recommendation 45). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: ShopperFacts official site
ShopperFacts and Behaviorally are competitors in SaaS. They target overlapping audiences; the right choice depends on your specific needs and priorities.
Sources: ShopperFacts official site
ShopperFacts is known for its photorealistic 3D virtual shops used in consumer-behaviour research. The company is recognised for delivering browser-based virtual retail studies that capture natural shopper interactions as structured data, including eye-path and add-to-basket events. It is also noted for its global reach across 40+ markets and its fast three-working-day delivery turnaround for study results.
Sources: ShopperFacts official site
ShopperFacts scores 45/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest SaaS options. Recommendation depends on crawlability, structured data, and category authority.
Sources: ShopperFacts official site
ShopperFacts is used by brands and companies that conduct consumer behaviour research in retail and e-commerce environments. Its target audience includes organisations seeking structured, data-driven insights into how shoppers interact with products and shelves in virtual retail settings. The platform is designed to serve global clients, with studies available across 40+ markets.
Sources: ShopperFacts official site
ShopperFacts 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: ShopperFacts official site
Ranked closest to ShopperFacts: Shine HR (60/100), S&G HR Consulting Solutions (60/100), SinglepointAI (60/100), SmartForce® (60/100).
A step up - brands to learn from: ZyG (71/100), Zuant (71/100).
Category leader: Accenture (97/100).