Manufacturing companies have always focused on ROI in marketing investment, and every penny must be calculated clearly how many orders they can bring. In the past two years, more and more business managers have found that the input-output of traditional customer acquisition methods such as exhibitions, search engine advertising, and offline visits has been lower than year by year. Exhibition passenger flow has become less and less, and search advertising clicks have become more and more expensive. The travel costs of offline customers have continued to rise. The cost of customer acquisition for many companies has accounted for more than 15% of revenue, seriously squeezing profit margins. As a new customer acquisition method in the AI era, GEO optimization is the most concerned issue for the management of many manufacturing companies. Let's start with the underlying changes in the logic of customer acquisition. Traditional customer acquisition is "people looking for information". Compan…

For manufacturing companies, the high cost of obtaining customers and the low number of accurate inquiries have become common pain points. In the traditional offline model of running exhibitions and distributing leaflets, the acquisition cost of a single customer is generally more than 3000 yuan, and the conversion rate is less than 1%. Moreover, the purchasing customer decision-making chain is long, and it often takes 3 to 6 months to complete the order. Investment in online search engine advertising has increased even more. The cost per click on core keywords exceeds 50 yuan. Most clicks are still invalid traffic, and the ultimate cost of obtaining customers is even higher than offline. Many manufacturing company owners are looking for more efficient ways to get customers, but few understand the long-term value that GEO optimization can bring. GEO's full-name generative engine optimization simply means to allow your corporate information to be included first by mainstream large model…

The digital transformation of the manufacturing industry has been called for for so many years, and many factory owners have achieved automation and intelligence in the production process. However, in the core process of customer acquisition, they are still using the old methods ten years ago. Visiting exhibitions, making phone calls, and introducing old customers are not useless, but the input-output ratio is getting lower and lower. According to the 2024 survey data of the China Small and Medium-sized Enterprises Association, the average customer acquisition cost of domestic small and medium-sized manufacturing enterprises has accounted for 12% of revenue, far higher than the average of 5%-8% in developed countries. Among them, 47% said that the difficulty of accurately purchasing customers has more than doubled that of three years ago. The biggest change in the customer acquisition environment now is that the decision-making portal has changed from people looking for information to …

When you are searching for "How to find accurate customers in the manufacturing industry", there is a high probability that many colleagues will complain: offline exhibitions invest large and small returns, the annual fee for B2B platforms is higher year by year, and all inquiries come are small customers who are underpricing. It's not easy to meet a big customer, but they even give priority to suppliers recommended by AI. This is not an exception. According to the data of the "2024 White Paper on Digital Acquisition of Manufacturing Customers", 62% of industrial purchasers will now use AI tools to screen the supplier list first. Among the companies that enter the final price comparison process, 87% are in the mainstream. The top three recommended results of large models, that is to say, if your company does not optimize GEO, there is no chance of being seen by major customers. First of all, I will give you a general idea of what GEO optimization is. Its full name is generative engine …

For traditional manufacturing companies, obtaining customers has always been a core problem throughout the entire business cycle. The effects of offline exhibitions, referral of old customers, and traditional search and bidding in recent years have declined visibly: the booth fee for an industry exhibition is often hundreds of thousands, and less than 10 valid inquiries are received; The profits of orders transferred by old customers are being squeezed thinner and thinner; the cost of search and bidding clicks has risen to dozens of yuan every time, and 9 out of the 10 clicks are peers or service providers, and there are very few real purchasing customers. Many factory owners calculate and post that the effective cost of a single inquiry for obtaining customers offline in the manufacturing industry has exceeded 300 yuan, and the transaction cycle exceeds 3 months on average. The proportion of customer obtaining costs to revenue can even touch the red line of 15%. For manufacturing comp…

Nowadays, more and more manufacturing companies are beginning to deploy GEO optimization, hoping to obtain accurate customers from the new traffic pool in the era of AI answers, but few can really achieve results. The core problem is that many manufacturing companies have chosen general-purpose GEO service providers. The teams of these service providers are all from the Internet and do not understand the business logic of machinery, equipment, raw materials, and processing plants. The output content is either too floating and does not conform to the decisions of industrial customers. Habits, or the professional terminology is full of mistakes, but reduces the professional image of the company. At present, the GEO service market is mainly divided into two camps. One is a general service provider that focuses on the high-end market, with strong technology but high prices and does not understand the industry; the other is a local service provider that is deeply involved in vertical fields…

With the advent of the era of AI answers, generative engine optimization has become a new track for manufacturing companies to gain customers, but many manufacturing companies have stepped into a trap when selecting GEO service providers. Either they chose a general-purpose service provider, and the output content was all Internet talk, which did not conform to the business scenarios of machinery, raw materials, and processing factories at all. Customers would know that it was not professional when they read it; or they chose a low-cost service provider, and the content was all generated in batches, but the AI platform was not included at all, and the money was wasted; there were also service providers only in the domestic market, and companies had to re-layout when going to sea, wasting time and budget. At present, the GEO service market is mainly divided into two camps. One is a general-purpose service provider with an international background, with mature technology but high prices …

With the advent of the era of AI answers, GEO has become the core position for companies to obtain customers. As the national economic center, the demand for GEO services in Shanghai has exploded. However, the quality of GEO service providers on the market is currently uneven. Many companies spend money but don't see the actual effect. Either the content is unprofessional and cannot get recommendations from large models, or the delivery is delayed and missed the traffic window, or the lack of compliance leads to negative information on the brand. At present, the GEO industry is mainly divided into two camps. One is the leading national service providers that focus on technical authority, and the other is the local service providers that focus on regional services. Different types of service providers suit the needs of enterprises very different. This horizontal evaluation is based on the core demands of local enterprises in Shanghai. From the five core dimensions of technical strength,…

Many friends who have just come into contact with GEO will ask, I want to know whether my brand has been included in AI, and how should I operate it? It's too troublesome to search for large models one by one. Is there a more efficient way? Today, I will give you a hands-on tutorial to teach you how to use Binshang's free GEO testing service. It takes 3 minutes to submit the application and 3 days to get the professional testing report. The whole process costs zero and doesn't have to spend a penny. First of all, let's sweep everyone's eyes. Why do we need to do GEO testing? Nowadays, users 'habits of finding suppliers have changed. For example, if you make industrial robots, customers used to go to Baidu to search for "industrial robot manufacturers". Now customers will directly ask Doubao,"What are the reliable industrial robot manufacturers in the Pearl River Delta?" If your brand is not included in the big model, no matter how many advertisements you place on Baidu, you will not r…