高效建站,智能成长

PinShop 是专为全球企业打造的现代建站平台,帮助团队快速上线、高效拓展,并借助 AI 简化内容运营。 平台基于 Next.js 架构,网站具备出色的加载性能、SEO优化和移动端适配能力。 上线不是终点,我们还提供自动生成 SEO 文章、AI 视频、AI 客服等智能功能,助你持续成长。

国内合作客户,助力企业品牌出海

2015年起步于外贸建站服务,合作用户突破 1,000 家

年历程,持续为中国外贸企业出海赋能

Pinshop Stats

我们的愿景

我们相信,通过提供一套全方位解决方案,我们可以帮助商家解决面临的各种挑战和问题。无论是提升销售效率、拓展销售渠道,还是优化库存管理和物流配送,我们的解决方案都能够为商家带来实质性的帮助和支持。我们致力于成为商家的长期合作伙伴,与他们共同成长,共同迈向成功之路。我们的团队,由充满激情和创新精神的专家组成,是推动这一愿景成为现实的核心力量,致力于不断探索和实现互联网零售领域的未来趋势。

Office Team

我们的使命

我们的使命是致力于提供一个融合了线上与线下购物体验的全方位解决方案,创造一个无缝互联的购物世界。我们憧憬着将购物从单纯的交易行为转变为一场充满激情的探索旅程,并让零售更智能化。

Office Team

我们的价值观

专注差异化

我们专注于构建差异化的商业价值,不断在商业模式、业务策略、产品设计、客户群体、垂直行业和特定场景中探索出独特的优势,提供具有差异化价值的解决方案,在市场竞争中脱颖而出。

深入洞察业务

我们持续洞察我们所处的行业,全面深入地梳理客户的业务和场景,提供最专业和最实用的解决方案,超越客户的期望。

打造卓越产品

我们坚持卓越和开放的原则,高效构建有竞争力的产品,创造最佳客户体验,赢得客户的认可。

提供优质服务

我们秉承以客户为本的初心,精准把握客户的需求与困难,提供专业且高效的服务,助力客户的商业成功。

  • 2015/5月

    起步于外贸建站服务,合作用户突破 1,000 家

  • 2017/6月

    转型外贸数据服务,进入SaaS数据领域

  • 2019/4月

    Pintreel获客软件申请软件专利

  • 2023/3月

    推出 AI Agent雏形(外贸业务助手)与PinShop自动化SEO打通,形成“获客+独立站”双引擎;合作客户突破 6,000 家.

  • 2025/至今

    AI Agent 全面升级:AI外贸电话,采购商意图分析与多渠道自动编排.与网站深度联动,跑通“AI找客—触达—跟单—沉淀”的自动化闭环;发布“陪跑运营服务”

我们的证书
广州品推科技有限公司自2015年创立以来,已经走过9年的时光,我们共计用心服务了国内6000+合作客户,以我们的专业,为6000+企业成功解决品牌出海难题,回首过去,展望未来,我们愿意保持初心,为中国外贸企业出海继续赋能。
广州品推科技有限公司自2015年创立以来,已经走过9年的时光,我们共计用心服务了国内6000+合作客户,以我们的专业,为6000+企业成功解决品牌出海难题,回首过去,展望未来,我们愿意保持初心,为中国外贸企业出海继续赋能。
广州品推科技有限公司自2015年创立以来,已经走过9年的时光,我们共计用心服务了国内6000+合作客户,以我们的专业,为6000+企业成功解决品牌出海难题,回首过去,展望未来,我们愿意保持初心,为中国外贸企业出海继续赋能。
广州品推科技有限公司自2015年创立以来,已经走过9年的时光,我们共计用心服务了国内6000+合作客户,以我们的专业,为6000+企业成功解决品牌出海难题,回首过去,展望未来,我们愿意保持初心,为中国外贸企业出海继续赋能。
广州品推科技有限公司自2015年创立以来,已经走过9年的时光,我们共计用心服务了国内6000+合作客户,以我们的专业,为6000+企业成功解决品牌出海难题,回首过去,展望未来,我们愿意保持初心,为中国外贸企业出海继续赋能。
广州品推科技有限公司自2015年创立以来,已经走过9年的时光,我们共计用心服务了国内6000+合作客户,以我们的专业,为6000+企业成功解决品牌出海难题,回首过去,展望未来,我们愿意保持初心,为中国外贸企业出海继续赋能。
广州品推科技有限公司自2015年创立以来,已经走过9年的时光,我们共计用心服务了国内6000+合作客户,以我们的专业,为6000+企业成功解决品牌出海难题,回首过去,展望未来,我们愿意保持初心,为中国外贸企业出海继续赋能。
广州品推科技有限公司自2015年创立以来,已经走过9年的时光,我们共计用心服务了国内6000+合作客户,以我们的专业,为6000+企业成功解决品牌出海难题,回首过去,展望未来,我们愿意保持初心,为中国外贸企业出海继续赋能。
PinShop产品功能

全面功能,支持上线与持续增长。

深入了解 Pinshop 的全功能体系,覆盖建站、内容、AI 增长等多个维度。

咨询更多
建站功能
AI 赋能
内容与运营

模板系统

提供行业模板,支持结构、配色、模块的灵活调整。

自适应设计

网站默认适配手机、平板、电脑多设备。

快速上线

支持快速上线与持续部署。

SEO 优化结构

默认生成语义结构、Meta 信息与干净链接。

CMS 接入支持

可接入 Strapi、Sanity、Contentful 等主流无头 CMS。

自动 SEO 生成

AI 自动生成标题、描述与内链,提升收录效果。

AI 视频生成

一键将图片生成视频,并添加多语言字幕。

AI 数字人客服

7×24 多语言数字人客服,驻站接待。

智能询盘弹窗

基于滚动、停留等行为弹出表单,提升询盘率。

3D 产品展示

支持 3D 产品模型嵌入,增强浏览体验。

多语言网站支持

轻松搭建多语种网站,适配海外市场。

自动 SEO 生成

AI 自动生成标题、描述与内链,提升收录效果。

AI 视频生成

一键将图片生成视频,并添加多语言字幕。

AI 数字人客服

7×24 多语言数字人客服,驻站接待。

智能询盘弹窗

基于滚动、停留等行为弹出表单,提升询盘率。

联系我们

  • 总部+
    广东省番禺区大夫山文体创意产业园A405

PinShop近期动态

Foreign trade website
Foreign trade stations
Independent website operation strategy
Independent website industry application
Independent website marketing and promotion
Integrated operation of building materials industry and trade, high-expansion foreign trade independent station seamlessly connects factory ERP and customer CRM management system
mia06-24

Integrated operation of building materials industry and trade, high-expansion foreign trade independent station seamlessly connects factory ERP and customer CRM management system

Under the integrated model of building materials industry, trade, production and sales, the separation of website, ERP inventory, and CRM customer data is a core operational pain point. Overseas procurement relies on the GEO generative engine to retrieve real-time building materials inventory and production capacity. Old sites cannot link back-end systems, resulting in gaps in AI exposure. Pintreel React+Next's high-expansion independent station's native two-way API seamlessly connects factory ERPs and foreign trade CRMs such as Kingdee and UFIDA. Building material specifications, inventory, and inquiries are synchronized in milliseconds. The bottom layer automatically captures back-end data to generate a full set of GEO price comparison semantics, realizing an integrated closed loop of Google + AI dual-line customer acquisition, automatic customer profile creation, and workshop production scheduling.

Large-scale machinery foreign trade track, React+Next.js independent foreign trade station relies on hard-core SEO to seize the global procurement search seat
mia06-24

Large-scale machinery foreign trade track, React+Next.js independent foreign trade station relies on hard-core SEO to seize the global procurement search seat

Overseas procurement of global large-scale machinery and equipment has the core industry characteristics of high customer price, long decision-making cycle, and high barriers to professional keywords. The first step for overseas engineering buyers must be to search for professional industrial keywords on Google to screen suppliers. Hard-core industrial SEO rankings directly determine whether heavy industry factories can join the global procurement candidate pool. At present, AI tools such as ChatGPT and Google SGE have become the core channels for horizontal comparison of equipment parameters, production capacity, and quality assurance. GEO (Generative Engine Optimization) has become a necessary supporting layout for incremental large-scale inquiries in the machinery industry. Most machinery foreign trade companies still use cheap WordPress and old PHP templates to build their websites. High-definition large images of large amounts of equipment are slow to load. Core Web Vitals indicators are unqualified across the board. Professional heavy industry keywords have been ranked low for a long time. At the same time, the industrial equipment-specific llms.txt index and price comparison JSON-LD structured data are missing. The large AI model is completely unable to capture equipment information, and the search and AI dual-line traffic are both disconnected. Pintreel is deeply involved in the large-scale machinery track. React+Next.js native independent station customization and development. The underlying architecture is deeply adapted to the product display logic of long pictures and texts, multi-working conditions, and multi-parameters in the heavy industry. It simultaneously embeds an industrial-specific global SEO system and a complete GEO equipment semantic knowledge map.

The first stage of buyer search: High-ranking foreign trade independent websites take the lead in entering the buyer's candidate list based on SEO
mia06-17

The first stage of buyer search: High-ranking foreign trade independent websites take the lead in entering the buyer's candidate list based on SEO

Overseas B-side procurement has formed a standardized hierarchical decision-making link. Active search and screening of suppliers is the first decision-making stage for buyers. Google SEO natural ranking directly determines whether the foreign trade independent website can enter the buyer's preliminary candidate list. It is also the prerequisite for subsequent negotiations, price comparisons, and in-depth cooperation. At present, a large number of foreign trade merchants use old PHP and WordPress templates to build websites. There are problems such as redundant code, inefficient rendering, confusing tags, and substandard Core Web Vitals (CWV) indicators. Even if they lay out a large number of keywords, it is difficult to obtain a stable and high ranking in the buyer's search results, and they will be eliminated directly in the first step of customer acquisition. At the same time, most traditional websites only deploy basic SEO and do not link with GEO (Generative Engine Optimization) for global traffic coordination, further missing out on overlapping customer sources.

Seize the digital voice in the AI ​​era, and the independent foreign trade station natively adapted to GEO enters the global large model knowledge base
mia06-17

Seize the digital voice in the AI ​​era, and the independent foreign trade station natively adapted to GEO enters the global large model knowledge base

The AI ​​wave is sweeping across the global foreign trade field. Mainstream large models such as ChatGPT, Google SGE, and Gemini have become the core entrance for overseas buyers to obtain supplier information, compare products, and verify brands. GEO (Generative Engine Optimization) has become the core starting point for foreign trade brands to compete for digital voice and enter the global large model knowledge base. A large number of traditional WordPress and PHP foreign trade sites rely on third-party plug-ins, use old rendering architecture, lack llms.txt, and standardized JSON-LD global semantic system, and cannot be included in the global AI knowledge base. Brand information, product parameters, and corporate strength are largely lost in large model retrieval. Even if they have strong offline capabilities, it is difficult to reach the massive potential customers through AI channels.

Integrated operation of building materials industry and trade, high-expansion foreign trade independent station seamlessly connects factory ERP and customer CRM management system
mia06-24

Integrated operation of building materials industry and trade, high-expansion foreign trade independent station seamlessly connects factory ERP and customer CRM management system

Under the integrated model of building materials industry, trade, production and sales, the separation of website, ERP inventory, and CRM customer data is a core operational pain point. Overseas procurement relies on the GEO generative engine to retrieve real-time building materials inventory and production capacity. Old sites cannot link back-end systems, resulting in gaps in AI exposure. Pintreel React+Next's high-expansion independent station's native two-way API seamlessly connects factory ERPs and foreign trade CRMs such as Kingdee and UFIDA. Building material specifications, inventory, and inquiries are synchronized in milliseconds. The bottom layer automatically captures back-end data to generate a full set of GEO price comparison semantics, realizing an integrated closed loop of Google + AI dual-line customer acquisition, automatic customer profile creation, and workshop production scheduling.

Large-scale machinery foreign trade track, React+Next.js independent foreign trade station relies on hard-core SEO to seize the global procurement search seat
mia06-24

Large-scale machinery foreign trade track, React+Next.js independent foreign trade station relies on hard-core SEO to seize the global procurement search seat

Overseas procurement of global large-scale machinery and equipment has the core industry characteristics of high customer price, long decision-making cycle, and high barriers to professional keywords. The first step for overseas engineering buyers must be to search for professional industrial keywords on Google to screen suppliers. Hard-core industrial SEO rankings directly determine whether heavy industry factories can join the global procurement candidate pool. At present, AI tools such as ChatGPT and Google SGE have become the core channels for horizontal comparison of equipment parameters, production capacity, and quality assurance. GEO (Generative Engine Optimization) has become a necessary supporting layout for incremental large-scale inquiries in the machinery industry. Most machinery foreign trade companies still use cheap WordPress and old PHP templates to build their websites. High-definition large images of large amounts of equipment are slow to load. Core Web Vitals indicators are unqualified across the board. Professional heavy industry keywords have been ranked low for a long time. At the same time, the industrial equipment-specific llms.txt index and price comparison JSON-LD structured data are missing. The large AI model is completely unable to capture equipment information, and the search and AI dual-line traffic are both disconnected. Pintreel is deeply involved in the large-scale machinery track. React+Next.js native independent station customization and development. The underlying architecture is deeply adapted to the product display logic of long pictures and texts, multi-working conditions, and multi-parameters in the heavy industry. It simultaneously embeds an industrial-specific global SEO system and a complete GEO equipment semantic knowledge map.

The first stage of buyer search: High-ranking foreign trade independent websites take the lead in entering the buyer's candidate list based on SEO
mia06-17

The first stage of buyer search: High-ranking foreign trade independent websites take the lead in entering the buyer's candidate list based on SEO

Overseas B-side procurement has formed a standardized hierarchical decision-making link. Active search and screening of suppliers is the first decision-making stage for buyers. Google SEO natural ranking directly determines whether the foreign trade independent website can enter the buyer's preliminary candidate list. It is also the prerequisite for subsequent negotiations, price comparisons, and in-depth cooperation. At present, a large number of foreign trade merchants use old PHP and WordPress templates to build websites. There are problems such as redundant code, inefficient rendering, confusing tags, and substandard Core Web Vitals (CWV) indicators. Even if they lay out a large number of keywords, it is difficult to obtain a stable and high ranking in the buyer's search results, and they will be eliminated directly in the first step of customer acquisition. At the same time, most traditional websites only deploy basic SEO and do not link with GEO (Generative Engine Optimization) for global traffic coordination, further missing out on overlapping customer sources.

Seize the digital voice in the AI ​​era, and the independent foreign trade station natively adapted to GEO enters the global large model knowledge base
mia06-17

Seize the digital voice in the AI ​​era, and the independent foreign trade station natively adapted to GEO enters the global large model knowledge base

The AI ​​wave is sweeping across the global foreign trade field. Mainstream large models such as ChatGPT, Google SGE, and Gemini have become the core entrance for overseas buyers to obtain supplier information, compare products, and verify brands. GEO (Generative Engine Optimization) has become the core starting point for foreign trade brands to compete for digital voice and enter the global large model knowledge base. A large number of traditional WordPress and PHP foreign trade sites rely on third-party plug-ins, use old rendering architecture, lack llms.txt, and standardized JSON-LD global semantic system, and cannot be included in the global AI knowledge base. Brand information, product parameters, and corporate strength are largely lost in large model retrieval. Even if they have strong offline capabilities, it is difficult to reach the massive potential customers through AI channels.

Buyer AI price comparison stage: GEO optimization allows independent foreign trade stations to appear frequently in ChatGPT comparison replies
mia06-17

Buyer AI price comparison stage: GEO optimization allows independent foreign trade stations to appear frequently in ChatGPT comparison replies

At present, the overseas B-side procurement process has fully entered the mainstream stage of AI price comparison. Buyers no longer rely solely on Google keywords to search for suppliers. Instead, they give priority to initiating multi-dimensional price comparison questions on product parameters, prices, factory strength, and comprehensive services through AI tools such as ChatGPT, Google SGE, and Gemini. GEO (Generative Engine Optimization) has become the core capability that determines whether independent foreign trade stations can enter AI comparison responses and obtain accurate price comparison inquiries. A large number of traditional WP and PHP foreign trade sites only do basic Google SEO, lack llms.txt index, standardized JSON-LD product price comparison structured data, and are completely invisible in AI price comparison scenarios. Even if the product price and quality have advantages, they cannot be retrieved by buyers in the AI ​​comparison process, and they miss out on a large number of high-intention price comparison customers.

The first stage of buyer search: High-ranking foreign trade independent websites take the lead in entering the buyer's candidate list based on SEO
mia06-17

The first stage of buyer search: High-ranking foreign trade independent websites take the lead in entering the buyer's candidate list based on SEO

Overseas B-side procurement has formed a standardized hierarchical decision-making link. Active search and screening of suppliers is the first decision-making stage for buyers. Google SEO natural ranking directly determines whether the foreign trade independent website can enter the buyer's preliminary candidate list. It is also the prerequisite for subsequent negotiations, price comparisons, and in-depth cooperation. At present, a large number of foreign trade merchants use old PHP and WordPress templates to build websites. There are problems such as redundant code, inefficient rendering, confusing tags, and substandard Core Web Vitals (CWV) indicators. Even if they lay out a large number of keywords, it is difficult to obtain a stable and high ranking in the buyer's search results, and they will be eliminated directly in the first step of customer acquisition. At the same time, most traditional websites only deploy basic SEO and do not link with GEO (Generative Engine Optimization) for global traffic coordination, further missing out on overlapping customer sources.

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