Plataforma de indicadores para retail
Getin (getin.mx) earns a Brand Analyzer score of 70 out of 100, placing it in the Developing tier among SaaS brands. Among 12358 SaaS brands analyzed, Getin ranks in the 52nd 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 100/100, Digital Presence 71/100, Visual Identity 93/100, Messaging Clarity 100/100, Trust Foundation 49/100, AI Discoverability 81/100, Brand Authority 33/100.
Getin (getin.mx) is a SaaS platform focused on retail analytics in Mexico and Latin America. It provides indicators based on people-traffic data collected from physical stores, enabling retailers to measure store operations and make data-driven decisions. Its core capabilities include precise foot-traffic counting, dwell-time measurement, real-time saturation analysis, and identification of lost sales opportunities. Getin positions itself as a leader in traffic counting and retail indicators across Mexico and Latin America.
| Brand Name | Getin |
|---|---|
| Domain | getin.mx |
| Industry | SaaS |
| Founded | 1940 |
| Headquarters | Gothenburg |
| Main Competitors | Dor, RetailNext (74/100), Sensormatic, Placer.ai, ShopperTrak |
Moz Domain Authority 33/100 vs category average 28 / leader 99 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #942,071 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 "Getin es una plataforma de indicadores para retail basados en la información del tráfico de personas en tus tiendas, mide la operación y toma decisiones con información real, descu…" (Meta description: 36 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, 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 LinkedIn, GitHub; no detected presence on Facebook, X (Twitter), Instagram, YouTube - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Getin scores 38/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Getin has a weak AI-visibility profile at 38/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is trust (51/100) and its weakest is visibility (22/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #942,071 (Tranco) 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 no llms.txt to steer AI to its best pages.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Getin's main competitors include Dor, RetailNext (74/100), Sensormatic, Placer.ai, ShopperTrak. These companies compete in the SaaS space for similar customers, offering comparable products or services.
Sources: Getin official site
Getin and RetailNext are competitors in SaaS. Brand Analyzer scores Getin at 70/100 and RetailNext at 74/100. They target overlapping audiences; the right choice depends on your specific needs and priorities.
Sources: Getin official site
Getin offers a SaaS platform that delivers retail traffic indicators, including precise people-counting (foot-traffic measurement), dwell-time analysis showing how long customers stay in a store, and real-time store saturation monitoring. The platform also surfaces lost sales opportunity data, giving retailers a quantified view of revenue they may have missed due to operational or capacity issues.
Sources: Getin official site
Popular alternatives to Getin include Dor, RetailNext (74/100), Sensormatic, Placer.ai, ShopperTrak. Each is an established option in the SaaS space; the best fit depends on your specific needs, budget, and required features.
Sources: Getin official site
Getin has limited AI-search visibility, scoring 38/100 on Brand Analyzer's AI visibility composite (visibility 22, trust 51, recommendation 50). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Getin official site
Getin was founded in 1940. Getin operates in the SaaS category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
Getin is headquartered in Gothenburg. Getin operates in the SaaS category.
Sources: Wikidata
Getin is a SaaS platform that provides retail analytics indicators based on people-traffic data collected from physical stores. It is positioned as a leader in Mexico and Latin America in foot-traffic counting and retail indicators. The platform is designed to help store owners and managers measure store operations and make decisions based on real data, including identifying how much revenue their business may have failed to capture.
Sources: Getin official site
Getin collects and analyzes people-traffic data from retail stores to generate operational indicators. Specifically, it performs precise foot-traffic counting, measures customer dwell time within stores, and conducts real-time saturation analysis. By processing this data, it reveals lost sales opportunities and enables retail operators to optimize their store performance and make informed, data-driven management decisions.
Sources: Getin official site
Getin scores 50/100 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: Getin official site
Getin's target audience consists of retail store owners and managers operating in Mexico and Latin America. The platform is designed for those who need data-driven insights to measure and optimize physical store operations, making it relevant to anyone managing a brick-and-mortar retail environment in those regions.
Sources: Getin official site
Getin is known for precise foot-traffic counting, dwell-time tracking, and real-time store saturation analysis for retail environments. It is particularly recognized as a leading platform in Mexico and Latin America for providing traffic-based indicators to the retail sector, as well as for surfacing lost sales opportunities that retailers may not otherwise detect.
Sources: Getin official site
Getin 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: Getin official site
Ranked closest to Getin: Glim (70/100), Genway (70/100), Pluto Card (70/100), Quantic POS (70/100).
A step up - brands to learn from: ZyG (71/100), Zuant (71/100).
Category leader: Accenture (97/100).