Store Locator for Websites, No Coding Required
StoreRocket (storerocket.io) scores 76 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among SaaS brands, Technology brands, E-commerce brands, in the 48th percentile of 27064 SaaS brands.
StoreRocket is a SaaS platform that allows businesses to add a customizable store locator to their website without coding. It integrates with Google Maps or Mapbox and includes features such as analytics, filters, and lead capture. Designed for businesses of all sizes, from small retailers to large global brands, StoreRocket helps customers find physical store or dealer locations online. It is used by brands including Puma and Hisense, with pricing starting at $25 per month.
| Brand Name | StoreRocket |
|---|---|
| Domain | storerocket.io |
| Industry | SaaS, Technology |
| Main Competitors | Stockist (78/100), Storepoint (81/100), Where2Get.it, Bindy (80/100), Yext (92/100), Uberall (89/100) |
Moz Domain Authority 32/100 vs category average 37 / leader 99 - limited third-party links, so AI systems rarely encounter mentions of the brand.
Ranked #233,169 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
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 "Add a fast, customizable store locator to any website in minutes, with no code. Google Maps or Mapbox, analytics, filters and lead capture. From $25/month." (Meta description: 25 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 3 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.
Detected tech stack: Cloudflare, Angular.
Social footprint: verified profiles on X (Twitter), Facebook, Instagram, YouTube; no detected presence on LinkedIn, 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 StoreRocket?", Claude could identify the brand as of September 2026. StoreRocket is a store locator SaaS tool that lets businesses add an embeddable map showing their retail locations, dealers, or franchises on their website. Best known for easy-to-embed store locator widgets for websites.
When asked "Best brands similar to StoreRocket?", Claude would recommend StoreRocket as of September 2026. It's a well-known, dedicated solution specifically for store locator functionality, so I'd mention it if someone needed that niche tool.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
StoreRocket's main competitors in SaaS: Stockist (78/100), Storepoint (81/100), Bindy (80/100), Yext (92/100), Uberall (89/100).
Sources: Brand Analyzer scan
StoreRocket offers a store locator widget that can be embedded on websites using Google Maps or Mapbox. The product includes analytics to track user interactions, filtering options to help customers narrow down locations, and lead capture functionality to collect customer information. Pricing starts at $25 per month.
Sources: StoreRocket official site
StoreRocket is a software-as-a-service (SaaS) product that provides a store locator tool businesses can embed on their websites. It uses Google Maps or Mapbox to display physical store or dealer locations, and requires no coding to install or customize.
Sources: StoreRocket official site
StoreRocket has limited AI-search visibility, scoring 34/100 on Brand Analyzer's AI visibility composite (visibility 5, trust 52, recommendation 63). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: StoreRocket official site
StoreRocket enables businesses to add a fast, customizable store locator to their website in minutes without writing code. It supports Google Maps or Mapbox integration and includes features like analytics, filters, and lead capture to help customers find physical store or dealer locations.
Sources: StoreRocket official site
StoreRocket scores 63/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest SaaS options. Recommendation depends on crawlability, structured data, and category authority.
Sources: StoreRocket official site
StoreRocket is known for offering a simple, no-code store locator that can be embedded on any website. It is recognized for combining ease of installation with enterprise-grade features such as analytics, filters, and lead capture, and for being used by brands like Puma and Hisense.
Sources: StoreRocket official site
StoreRocket 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: StoreRocket official site
StoreRocket is used by businesses of all sizes, from small retailers to large global brands, that need to help customers find their physical store or dealer locations online. Known users include major brands such as Puma and Hisense.
Sources: StoreRocket official site
StoreRocket is popular because it offers a fast, no-code solution for adding a store locator to a website, making it accessible to businesses without technical expertise. Its combination of simplicity, affordability starting at $25/month, and features like analytics, filters, and lead capture appeals to businesses of all sizes, including large brands like Puma and Hisense.
Sources: StoreRocket official site
StoreRocket scores 34/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
StoreRocket has a weak AI-visibility profile at 34/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (63/100) and its weakest is visibility (5/100). It benefits from a global traffic rank of #233,169 (Tranco), 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 32/100. In a live check, Claude could already identify StoreRocket 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 StoreRocket: Steer Protocol (76/100), StayFocusd (76/100), STRATZ (76/100), Streaks (76/100).
A step up - brands to learn from: Zutobi (81/100), Zuppler (81/100).
Category leader: Hostinger (97/100).
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