See the Shopper, Not Just the Sale
VideoMining (videomining.com) scores 74 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among E-commerce brands, Marketing & Advertising brands, Technology brands, in the 34th percentile of 16093 E-commerce brands.
VideoMining is a company based in State College, United States, that provides AI-powered behavioral shopper insights and retail analytics. It uses artificial intelligence and machine learning to analyze in-store shopper behavior, aiming to help retailers and CPG brands understand customer movements, habits, and micro-moments within physical stores. The company positions itself as a leading behavioral shopper insights provider, targeting CPG brands, retailers, and shopper marketing professionals seeking data-driven strategies to improve retail performance and growth.
| Brand Name | VideoMining |
|---|---|
| Domain | videomining.com |
| Industry | E-commerce, Marketing & Advertising |
| Headquarters | State College |
| Main Competitors | RetailNext (86/100), Placer.ai (82/100), Trax Retail (86/100), Aislelabs (78/100), Shopper Scientist, V-Count (86/100), Nomi |
Moz Domain Authority 33/100 vs category average 43 / 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 "Discover AI-powered behavioral shopper insights and retail analytics that reveal in-store behavior, improve shopper experiences, and drive retail growth." (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: og:title, og:description, Twitter cards, canonical. 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.
Detected tech stack: Cloudflare, HubSpot.
Social footprint: verified profiles on LinkedIn, X (Twitter), Facebook, Instagram, YouTube, GitHub - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Live results from asking a general-purpose AI assistant about the brand, checked September 2026.
When asked "What is VideoMining?", Claude could identify the brand as of September 2026. VideoMining is a retail analytics company that uses computer vision and video analytics to track in-store shopper behavior, helping brick-and-mortar retailers understand foot traffic, dwell times, and customer journeys. Best known for In-store video analytics for shopper behavior and retail intelligence.
When asked "Best brands similar to VideoMining?", Claude would not surface VideoMining as of September 2026. It's focused on physical retail/brick-and-mortar analytics rather than e-commerce, so it wouldn't be a natural fit if someone is asking specifically about e-commerce brands.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
VideoMining's main competitors in E-commerce: RetailNext (86/100), Placer.ai (82/100), Trax Retail (86/100), Aislelabs (78/100), V-Count (86/100).
Sources: Brand Analyzer scan
VideoMining has limited AI-search visibility, scoring 29/100 on Brand Analyzer's AI visibility composite (visibility 21, trust 22, recommendation 51). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: VideoMining official site
VideoMining is headquartered in State College. VideoMining operates in the E-commerce category.
Sources: Wikidata
VideoMining scores 51/100 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: VideoMining official site
VideoMining is a company headquartered in State College, United States, that specializes in AI-powered behavioral shopper insights and retail analytics. It operates in the technology, marketing and advertising, and e-commerce sectors, focusing on understanding in-store shopper behavior for retailers and consumer packaged goods (CPG) brands.
Sources: VideoMining official site
VideoMining uses artificial intelligence and machine learning combined with behavioral science to analyze in-store shopper behavior. It identifies shopper micro-moments and behavioral patterns within retail environments, converting this data into insights that help retailers and brands improve shopper experiences and make informed, data-driven retail decisions.
Sources: VideoMining official site
VideoMining 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: VideoMining official site
VideoMining offers AI-powered behavioral shopper insights and retail analytics services. These include tools and analysis methods designed to reveal in-store shopper behavior, identify shopping micro-moments, and provide data that supports retail strategy and shopper experience improvements for CPG brands and retailers.
Sources: VideoMining official site
VideoMining's services are used by CPG (consumer packaged goods) brands, retailers, and shopper marketing professionals who seek deeper insights into in-store shopper behavior to enhance retail strategy, shopper experience, and overall business performance.
Sources: VideoMining official site
VideoMining is known for its behavioral shopper insights platform that applies AI and machine learning to in-store analytics, helping uncover hidden shopper behaviors and micro-moments that traditional retail data may miss.
Sources: VideoMining official site
VideoMining scores 29/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
VideoMining has a weak AI-visibility profile at 29/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (51/100) and its weakest is visibility (21/100). It benefits from a Wikidata knowledge-graph entry and open access for AI crawlers (GPTBot, ClaudeBot, etc.). The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, a low Moz Domain Authority of 33/100 and thin schema.org structured data. In a live check, Claude could already identify VideoMining from memory (September 2026) - a sign these signals are paying off.
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 VideoMining: Viasil (74/100), Vervaunt (74/100), VillaVerde (74/100), Vinfolio (74/100).
A step up - brands to learn from: ZuPreem (81/100), Zoo Med Laboratories (81/100).
Category leader: DHL (97/100).
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