With the widespread application of AI across industries, more companies are integrating AI into marketing. This article examines leveraging AI on LinkedIn for precise and efficient B2B client acquisition, enhanced by insights from Microsoft’s substantial AI investment.

With the development of artificial intelligence technology, AI+marketing has become a new hotspot. In the social media sector, leveraging Twitter data allows companies to gain a deeper understanding of consumer needs, thereby enhancing marketing effectiveness. This article discusses the significance of AI+marketing, specific application scenarios, and how to legally and ethically utilize these valuable data resources.

As AI technology becomes increasingly widespread, businesses are focusing on using AI to enhance their capabilities, especially in customer acquisition. This article will discuss AI's role in customer acquisition by examining Microsoft’s significant investment and providing real-world examples to highlight its potential for driving business growth.

As AI technology advances, businesses increasingly rely on intelligent tools to boost acquisition efficiency. LinkedIn offers vast potential client resources. Yet, it is crucial to monitor legal changes and ensure compliance when utilizing these resources.

With the development of AI technology, customer acquisition methods are constantly evolving. This article explores how to combine AI acquisition tools with Google Maps to mine potential customers through big data analysis and smart algorithms, enabling more precise marketing strategies. Using the latest MiniMax MCP Server as an example, it demonstrates how it can empower businesses to quickly obtain high-quality leads and increase conversion rates in the digital era.

In today's competitive business environment, leveraging AI for marketing has become a powerful means for companies to acquire customers. Analyzing location-based data, such as gathering customer information through Google Maps, demonstrates significant value in industries like dining and retail. This article explores cutting-edge practices of AI in marketing, ways to boost sales efficiency, and developments such as support for MCP on Xunfei StarAgent that enhance the developer experience.

As AI technology advances, more companies are exploring its application in customer acquisition. This article delves into the technical principles and practical effects of AI-driven customer acquisition using the new upgrade of SensTime's SenseCore 2.0, offering insights and advice for businesses.

As AI technology advances, more companies are using AI tools for customer acquisition. Particularly in international trade, LinkedIn, as a vital B2B platform, has become a preferred choice for acquiring high-quality customers. This article introduces how to combine AI acquisition techniques to effectively uncover potential LinkedIn customers and enhance marketing efficiency.

In recent years, the continuous advancement and application of AI technology have brought new opportunities for businesses in acquiring customers. Particularly in the B2B field, LinkedIn has become a crucial platform for customer acquisition. With the recent launch of the open-source InternVL3 series of multimodal large language models by Shanghai AI Lab, we explore how to leverage this advanced technology to improve customer acquisition efficiency on LinkedIn.

This article delves into enhancing new customer acquisition through AI technologies. Using LinkedIn client data collection as an example, combined with news on the new company founded by a former OpenAI executive, it explores the impact of the latest technology developments on business operations and offers practical advice to help companies seize opportunities and enhance market competitiveness.