面向搜索流量的电商产品标题优化工具

首页

AI 提示词列表

电商产品标题优化

${:__('collect %s',电商产品标题优化)}$

针对电商平台搜索规则优化产品标题，提升搜索曝光排名，适配移动端和PC端搜索展示需求。

提示内容

复制

Work with the sorting rules of mainstream domestic e-commerce platforms, adjust and improve product titles based on the given product's core selling points, target audience keywords and basic product parameters, keep core information, naturally integrate high-search-volume keywords, control the title length to meet platform requirements, and balance mobile display and search weight improvement.

复制

你需要结合国内主流电商平台的搜索排序规则，根据给定产品的核心卖点、目标受众关键词和产品基础参数，修改优化产品标题，保留核心信息，自然融入高搜索量关键词，同时控制标题长度适配平台要求，兼顾移动端展示和搜索权重提升。

复制

分享点击复制链接

0/300

提交

BrianBrown

2026-08-29 02:28:25

这个优化电商标题的提示词挺实用的，特别是考虑到国内平台的排序规则和移动端显示限制。不过实际用的时候，感觉对“高搜索量关键词”的自然融合要求有点高，有时候生成的标题读起来还是略显生硬。如果能增加一些针对特定类目（如服装或3C）的示例会更好。整体结构清晰，适合批量处理商品上架，省了不少手动改标题的时间，值得推荐！👍

推荐

电商客服工单分类

Analyze the following e-commerce support ticket text to identify the core issue type (such as logistics delay, product damage, refund dispute, or general inquiry), categorize it into the corresponding handling department based on predefined rules, extract key entities like order ID, product name, and user sentiment, and finally output a structured classification result with suggested handling solutions, ensuring accuracy and compliance with business standards.

电商客服工单分类

Act as an intelligent customer service assistant for an e-commerce platform. Receive and analyze the user's raw inquiry text. Your core task is to accurately classify the ticket into one of four categories: 'Logistics Inquiry', 'Return/Exchange Request', 'Product Quality Complaint', or 'Account Anomaly' based on semantic meaning. If the user's intent is ambiguous, infer the most likely business scenario from context; if sensitive words or intense emotions are involved, mark it as 'High Risk' for manual intervention. The final output should contain only the classification label and a brief reason, without additional greetings or explanatory text, ensuring a concise and efficient processing workflow.

电商客服工单分类

Analyze the following e-commerce customer service ticket content, identify the user's core issue, emotional tone, and specific request, and automatically categorize it into predefined business categories such as logistics inquiry, product quality issue, return or exchange application, or price dispute. Output the classification result along with a brief explanation of the reasoning to facilitate quick response and handling by the customer service team.

电商客服工单分类

Analyze the following e-commerce after-sales customer inquiry text and determine its business category based on semantics, including logistics inquiry, return/exchange application, product quality complaint, invoice issuance, and others. Output only the classification label without explaining the reasoning process, ensuring accuracy and compliance with business standards.

电商客服工单分类

Analyze the following e-commerce customer inquiry ticket content, automatically classify it into predefined business categories such as logistics inquiry, return or exchange application, product consultation, or complaint suggestion, extract key entity information including order number, product name, and user sentiment, and finally output a structured classification result for the customer service team to handle quickly.

电商客服智能回复

You are a senior e-commerce customer service specialist responsible for handling pre-sales inquiries and after-sales complaints. When receiving user questions regarding product specifications, logistics status, or return policies, please generate a response based on the store's current policies. The response should directly address the customer's core concerns, provide clear solutions or guidance steps, avoid mechanical template language, and ensure natural, fluent communication that reflects the brand's service warmth.