
In the field of enterprise online marketing, “difficult to get customers, low conversion, high cost” is always an insoluble pain point – education and training institutions rely on a team of 10 people to operate hundreds of accounts to maintain the exposure of the content; investment promotion to join the enterprise sales every day to manually reply to thousands of private messages, but it is difficult to capture high-intention customers in a timely manner; decoration companies spend a lot of money on advertising, but customer leads are gradually lost in the maintenance of private domains. Private messages, but it is difficult to capture high-intent customers in a timely manner; decoration companies spend a lot of money on advertising, customer leads but gradually lost in the private domain maintenance. Sichuan so network technology launched the “so AI staff”, the first “promotion – customer acquisition – conversion – private domain” whole chain hosted AI Agent positioning, the four core positions (content matrix officer, customer service experts, sales assistants, private domain operations officer) capabilities integrated into one. The ability to integrate the four core positions (content matrix officer, customer acquisition expert, sales assistant, private domain operation officer) into one, like a real person 24 hours a day, autonomous operation of the computer, the whole process of enterprise marketing from “relying on a pile of people” to “AI fully automated”, and completely reconfigure the logic of the efficiency of online customer acquisition and customer operation.
First, the core subversion: from “segmented artificial” to “full chain AI hosting”, reconstructing the marketing customer acquisition process.
The most revolutionary value of such AI employees is that it breaks the segmented mode of traditional marketing, which is “relying on the team for content, relying on placement for customer acquisition, relying on sales for conversion, and relying on customer service for maintenance”, and realizes the “unmanned closed loop” of customer acquisition through the “AIization of the four major positions and automation of the whole process”. “Unmanned closed loop”, to solve the three core pain points.
(I) Integration of the four major positions: one AI is better than one marketing team.
The AI staff is not a single-function tool, but rather encapsulates all the core post capabilities required by the enterprise’s online marketing into an AI module, forming an intelligent marketing team with a clear division of labor and high efficiency:
- AI content matrix officer: hundreds of accounts of “full-time content housekeeper” without editors and operations, AI can batch generate original short videos – automatic capture of industry material, editing to avoid repetitive frames to realize “original de-emphasis “, write explosive copy that meets the platform’s algorithm (e.g., “Guide to avoiding pitfalls in decoration: these 3 links are the most likely to be added”), accurately add topic hashtags (# Decoration Design #Local Decoration), and manage 100 + social media accounts, distributing the content to Jittery Voice, Shutterbugs, Xiaohongshu at a pre-set time , and video numbers. After a local medical beauty organization used it, it operated 20 accounts with only 1 AI employee, released 40 videos on average per day, and increased brand exposure by 300%, far exceeding the efficiency of the previous 5-person team.
- AI accurate customer acquisition expert: 7×24 hours “customer excavation specialists” traditional customer acquisition rely on placement, high cost and low precision, while AI customer acquisition expert will actively monitor peer popular content or industry keywords, from the comment area to screen high intention customers (such as decoration video users leave a message under the “request for a quote”, investment video users ask for a quote under the video ). ” users, investment video asking “join conditions” of the user), and simulated real people to send a private message (such as “Hello, see you want to know about the renovation offer, we have a local 3 sets of house type program, plus micro-send your reference ~”) The company’s WeChat service is a new feature that automatically guides customers to add the company’s WeChat. With the help of this function, an investment company accurately reaches 1000 + potential customers every day, and the cost of private diversion is reduced from 50 yuan per capita to 8 yuan.
- AI gold sales assistant: massive leads “screening and initial chat robot” sales team is often caught in the “low intention customers take up a lot of time” predicament, AI gold sales assistant can automatically through the WeChat friend request, according to the standardized SOP and customer communications AI Gold Sales Assistant can automatically communicate with customers through WeChat friend requests according to standardized SOPs — asking for “renovation area”, “budget range”, “delivery time”, and marking the customer’s intention according to the reply ( Class A: high intention, can be signed within 1 week; Class B: wait and see, need to follow up; Class C: low intention, do not convert for the time being), and only push Class A customers to real sales. After an education and training company used the service, the number of high-value customers received by sales increased from 10 to 30 every day, and the efficiency of transaction was increased by 2 times.
- AI Private Domain Operations Officer: Long-term maintenance of “customer relationship steward” Private domain customer loss is the invisible loss of the enterprise, AI Private Domain Operations Officer can be based on customer labels (e.g., “renovation – two-bedroom – budget 200,000”, “education – K12 – parents of sixth grade”), “AI Private Domain Operations Officer” can be based on the customer’s label. K12 – 6th grade parents”) to achieve personalized reach: send “case references” (e.g., “completed two-bedroom renovation in the same neighborhood”) to customers who have not yet closed, and push “after-sales care” to customers who have already closed. “After-sales care” (such as “3 months after the completion of the renovation, door-to-door maintenance appointment reminder”), and even simulate a real person “delayed response” to pull the customer’s mentality, to avoid a sense of mechanics. An e-commerce brand maintains 100,000+ private domain customers through AI, with a 45% increase in repurchase rate and a 20% increase in referral rate.
(ii) Full-process automation: “unmanned closed loop” from content to private domains
The core advantage of such AI employees lies in “linking through”, avoiding articulation faults in various links: the video generated by the AI content matrix officer brings exposure, the AI customer-expansion expert digs customers from exposure, the AI sales assistant screens intentions, and the AI private domain operation officer maintains long-term, forming “content diversion → Customer excavation → preliminary transformation → private domain repurchase” of the complete closed loop, the whole process without human intervention. For example, the marketing process of a software enterprise:
- The AI content matrix officer releases “enterprise software use tutorial” videos to 10 accounts every day;
- AI customer acquisition experts monitor the video comments, and send a private letter to the user who is “seeking a trial” to guide the addition of microblogging;
- The AI sales assistant asks about “enterprise size” and “demand scenarios” after passing the WeChat, and then marks A-type customers to be pushed to sales;
- The AI private domain operation officer sends weekly “industry solutions” to customers who have not yet been dealt with, and pushes “function update notification” to customers who have already been dealt with. The whole process operates 7×24 hours, and the enterprise only needs one salesman to dock with high-intention customers, which reduces the labor cost by 60% and increases the customer acquisition volume by 150%.
(C) lightweight management: mobile control of the overall situation, real-time monitoring of progress
Traditional marketing team management needs to rely on meetings, data reporting, but so AI employees support remote control through WeChat applet: the boss can start / pause the task on the phone with one key (such as “today focus on the topic of Little Red Book decoration”), real-time watch the AI operation process (such as AI editing video, send private messages screen recording), Check the data report (“Today we posted 45 videos, attracted 82 customers, and 15 class A customers”). When the boss of a decoration company was on a business trip, he adjusted the keywords of AI’s customer promotion through the small program, and attracted 23 more precise customers on the same day, realizing “anytime, anywhere marketing”.
Functional details: “humanized design” that meets the needs of enterprises.
So AI employees in the functional design of the actual use of enterprise scenarios, through the details of optimization to enhance the practicality and reliability, to avoid the problem of “AI tools flashy but not real”.
(I) originality guarantee: avoid platform penalties, stable access to flow
Content originality is the key to account survival, AI content matrix officer has two major “de-emphasis capabilities”: one is to automatically adjust the order of the material when editing, add filters and transitions, to ensure that the difference between the generated video and the original material is more than 80%; the other is to combine the industry data (such as “2025”) with the original material when generating copy. Secondly, when generating copy, we combine industry data (e.g., “2025 Decoration Trend Colors”) with localized information (e.g., “Chengdu Decoration Labor Cost Standards”) to avoid platitudes and repetitions. A chain restaurant brand used AI to generate “store new product evaluation” videos, and because of the high degree of originality, a number of videos have been popular in the same city, and the account has never been restricted due to “non-originality”.
(ii) Real-life interaction: reduce customer resistance and improve the conversion rate of attracting traffic.
When AI communicates with customers, it deliberately avoids the “mechanical sense”: it adds tone words (“~”, “ah”) to private message replies, and simulates the typing speed of real people (1-2 words per second); when chatting with customers, it can switch according to the customer’s tone of voice. Chatting can switch styles according to the tone of voice of the customer (“let’s” “get it done” for young customers, “you” “trouble” for middle-aged customers); when encountering complex problems, the customer can use “you” “trouble” to reply to private messages. “); when encountering complex issues (e.g., “What support can be provided after joining?”) , will be automatically transferred to a real person sales, to avoid the loss of customers due to the answer. This “semi-real person” interaction increases the conversion rate of customers adding private domains to 35%, far exceeding the 10% of traditional robots.
(iii) Data analysis: precise optimization strategy to improve marketing effectiveness
The platform provides detailed data reports to help enterprises optimize the direction of marketing: the content side can view “the amount of playback on each account, the rate of likes, the number of attractions”, and timely shut down low-flow accounts; the customer acquisition side can analyze “which platform attracts the most traffic, which keywords bring the highest customer intent “, adjusting the focus of customer acquisition; the conversion side can track “the rate of customer churn at various stages” (such as the percentage of customers who did not communicate after adding micro, the reasons for communication and non-delivery), and optimize the SOP dialogues. An enterprise through the data found that “the customer turnover rate of Xiaohongshu diversion is 2 times that of Jitterbug”, and then increased the investment in the content of Xiaohongshu, and the monthly turnover amount increased by 60%.
Third, the use of process: four steps to open the AI marketing, low threshold easy to start!
This AI employee is designed for enterprise users with a simple use process, which can be quickly mastered even by non-technical staff and only supports Windows systems (i5 10-generation processor or above, 16G or more RAM, and Windows 10 or above system):
- Pre-communication and configuration (expert one-on-one service)After visiting the official website ( https://www.ruciapp.com/) to download the system, platform experts will have one-on-one communication with enterprises to clarify business requirements (e.g., “decoration industry, focusing on local customer acquisition”, “education industry, focusing on K12 diversion”), and configure exclusive communication and configuration. “), and configure an exclusive workflow – for example, for the AI content matrix officer to set “publish 5 decoration case videos per day, prioritize the distribution of Xiaohongshu”, for the AI customer acquisition expert to set “Monitor the accounts of Chengdu renovation peers and capture users seeking quotes in the comment section”, and provide SOP dialog templates (e.g., WeChat initial chat scripts, private message copy).
- Login and task deployment (mobile / computer dual-end control)After the configuration is completed, enterprises can manage AI employees in two ways: one is to log in to the WeChat applet console and start the “content publishing” and “customer acquisition” tasks with one click on the cell phone, or adjust the parameters (e.g., “send 20 more private messages today”). 20 more private messages today”); the second is to log in to the PC client, view the detailed operation log, debug the editing style, the details of the speech, etc.. For example, if the boss clicks “Start Today’s Customer Expansion” on the applet, the AI will automatically start monitoring the comment area and sending private messages.
- Real-time monitoring and adjustment (process visualization)During the execution of the task, the enterprise can watch the operation process of the AI in real time on the PC (e.g. the steps of the AI editing the video, the interface of sending WeChat messages) to ensure that the task is carried out according to the plan; if problems are found (e.g. the conversion rate of replying to a certain private message is low), the task can be paused at any time to modify the template of the conversation (e.g. change the phrase “adding WeChat and sending the information” to “Add Micro to receive local decoration subsidy coupon”), and restart after adjustment.
- Data Viewing and Optimization (Report Driven Decision Making)View the work report through the applet every day, the core data including “content publishing volume, number of attracted customers, number of A-class customers, number of new people in private domain”, and optimize the strategy based on the data. For example, if it is found that “Shake video draws less traffic but more Little Red Book”, increase the number of Little Red Book accounts; if it is found that “Class A customers mostly come from ‘budget consulting’ talk”, strengthen the communication of this type of Question.
Fourth, application scenarios: covering multiple industries and solving the marketing pain points of different enterprises
The “full link + high adaptability” characteristics of such AI employees make them landed in multiple industries and become the “standard tool” for online marketing of enterprises.
(A) education and training industry: accurate customer acquisition + efficient conversion
The core demand of educational institutions is to “find parents/students who are willing to pay”, so AI employees can:
- Generate short videos of “course evaluation” and “learning methods” to attract the target group;
- Mining the comment section for potential customers who are “looking for course materials” or “want to enroll in a class” and directing them to WeChat;
- Ask your child’s grade level and learning pain points during the initial chat on WeChat, and filter out the A-type customers who are “about to take the exam and need to improve their scores urgently”, and push them to sales;
- Sending “cases of scoring improvement in the same grade” to unfinished customers, and pushing “reminders of after-class practice” to finished customers to improve the renewal rate. After a K12 training institution used the service, the average monthly customer acquisition was 300+, the transaction rate increased by 25%, and the labor cost was reduced by 3 people.
(ii) Merchants join the industry: low-cost attraction + clues screening
Merchants join the enterprise needs “a large number of accurate entrepreneurial leads”, the value of AI employees is:
- Publish “join profit case” “open store process” video, highlighting “low investment, high return”;
- Monitor keywords such as “joining” and “entrepreneurship”, capture intended customers in the comment area, and send private messages with “joining policy + profitability data”;
- WeChat communication to confirm “start-up budget”, “city”, “whether there is relevant experience”, mark high intention customers (such as “budget 500,000 +, have retail experience”);
- Private domain long-term push “franchisee store scene” “headquarters support policy”, to promote the signing. A milk tea franchise brand with the help of AI, daily diversion 150 + entrepreneurs, joining the signing rate increased by 18%, the cost of customer acquisition from 80 yuan per capita down to 12 yuan.
(C) decoration design industry: local customer acquisition + private domain maintenance
Decoration companies rely on “local accurate customers”, so AI employees can:
- Generate “local neighborhood renovation cases” “renovation to avoid pitfalls” videos, add city locator tags (# Chengdu renovation);
- Capture users who are “looking for local renovation companies” and “want to know about quotes” from the comments section of peer-to-peer renovation videos, and guide them to add WeChat;
- Get “household type, area, budget, delivery time” during the initial chat on WeChat, and screen A-type customers (e.g. “delivery within 3 months, clear budget”);
- Private domain push “the same house type design program” “decoration progress broadcast”, provide “after-sales maintenance reminder” to customers who have been sold to promote referrals. After a Chengdu renovation company used the service, the proportion of local customers rose from 60% to 90%, and the referral rate increased by 30%.
(D) Local lifestyle industry (medical / fitness): brand exposure + in-store conversion
Local life merchants need to “enhance regional visibility and attract in-store consumption”, AI employees can:
- Publish “medical beauty program evaluation” “fitness effect comparison” video, highlighting “local stores, preferential activities”;
- Capture customers who “want to know the price” and “book an appointment” in the comment section, and send private messages with “in-store coupons”;
- WeChat communication to confirm the “time to the store” “interested in the project”, directly booking to the store;
- The private domain pushes “new product experience activities” and “members-only offers” to increase repurchase. After the use of a local gym, the average monthly number of customers visiting the store increased by 100+, and the membership card rate increased by 20%.
V. Summarize: enterprise marketing “cost reduction and efficiency booster”, opening a new era of AI hosting
The emergence of such AI employees is not only an innovation of a tool, but also a reconstruction of the enterprise marketing model — it will originally require a multi-person team to complete the “content – customer acquisition – conversion – maintenance” of the whole process, compressed into an AI employee’s fully automated work, which not only solves the problem of “high labor cost, high efficiency”, but also reduces the costs of the enterprise marketing model. It solves the pain point of “high labor cost and low efficiency” and avoids the problem of “broken links and customer loss”. For small and medium-sized enterprises, there is no need to worry about the recruitment and training of the marketing team; for large enterprises, it can significantly improve the ability to scale marketing and quickly seize online traffic.
In the future, with the iteration of AI technology, such AI employees are expected to further deepen the “industry customization” (such as the development of “compliant customer acquisition dialogue” for the medical industry, and the increase of “product seeding for the e-commerce industry ” function), and expand the adaptation of more platforms (e.g., Jitterbug Little Shop, Meituan) to form a more complete marketing ecosystem. For enterprises, choosing such AI employees is not only choosing a tool, but also choosing a new way of marketing that is “low-cost, high-efficiency, and sustainable” — letting AI become the “first digital employee” of the enterprise. “Let AI become the enterprise’s first digital employee, freeing people from repetitive labor and focusing on the more core “strategy development and in-depth customer service”.
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