There is just one thing to solve:Let customers in need find you precisely。From how the team works and where content is published, to where customers come from, who takes leads, and what to adjust next round, the five things connect into a closed loop that can run on its own.
First look at how customers actually find suppliers, then look at where most enterprises get stuck, and then our approach and what can be seen after implementation.
How customers find you
Where do most enterprises get stuck
How to do it
After it is done
The eight things are actually eight questions to be answered in sequence along one chain: who is assigned to handle the market matter → how to build the brand moat → how customers with needs find suppliers → how to get them to actively search for you → how to get them to remember you after watching the video → whether key people can be contacted after finding you → who takes over after contact is made → how the results of taking over feed back into the market. If one link in the middle breaks, all previous efforts will leak out from there.
For customers to find you accurately, knowing the method is not enough; you also need a system that can catch it. The course solves "the team knows how to do it," and the following four blocks solve "after doing it, it can be caught"—only taking the course without implementing the system makes it hard to sustain after returning to the job; only implementing the system without taking the course leaves the team not knowing how to use the data.
Nine modules, corresponding to the eight stages of the market flywheel plus one overall framework. Each segment is paired with the enterprise's own business for on-site practice, and what is produced in class can be used back on the job.
| Arrange | Topic | Core Content |
|---|---|---|
| Day 1 Morning | 1.1 Build the overall framework of the marketing system 1.2 Build the organizational personnel and assessment system |
Marketing investment is substantial yet stable output is hard to achieve. Common causes are unclear responsibilities, scattered actions, and disconnected lead handover. Start with The eight-ring marketing flywheel model Review the current situation and determine which links should be prioritized. The eight things are eight questions to be answered in sequence along one chain: who handles the market work → how to build the brand moat → how customers with needs find suppliers → how to get them to actively search for you → how to make them remember you after watching the video → whether key people can be contacted after finding you → who takes over after contact → how the results feed back into the market. Provide Trader profile, how to write recruitment job descriptions, trial draft questions and scoring dimensions, improving the discernment of recruitment and selection; after team expansion, clarifying the responsibilities and monthly output baselines of three roles: copywriting, video, and lead. Designed for the two common problems of only assessing deal completion and only assessing document output volume,Three-level indicators: process, intermediate, and result: Discuss the combination of salary and performance, as well as which basic tasks can be assisted by AI and which judgments still need to be made by people. |
| Day 1 Afternoon | 1.3 Build the enterprise brand asset system 1.4 Building an industry product keyword system |
Before contacting an enterprise, customers usually first learn about it through search and AI Q&A.Select three peers on site, observe search results and AI answers respectively, and compare their respective brand information, content foundation, and citation sources. Break down the common information sources for AI answers: corporate websites, encyclopedia materials, government and industry information, media reports, and professional content. When materials are weak, it is harder to build trust and harder to be cited. Based on this, sort out media content, encyclopedia materials, and qualification information Build sequence。 Distinguish the different value of industry terms, product terms, and question terms, and validate priorities with data from your own industry; demonstrate keyword mining sources such as Baidu, WeChat, Douyin, keyword tools, competitor websites, actual words from sales and customer service, and AI Q&A; establish a system including Search volume, competition level, intent, content format, and priority lexicon and convert it into a first draft of the content schedule. |
| Day 2 Morning | 1.5 Building an enterprise article content marketing system 1.6 Building an enterprise video content marketing system |
Clarify the division of labor among different positions in the content matrix: which content is responsible for being found, which for building trust, and which for spreading, and choose the content positions to prioritize in the initial stage based on the enterprise's current goals. Topics come from keywords, high-frequency sales questions, and customer cases; industry news, holiday greetings, and internal activities usually Not used as customer acquisition content.'s priority direction. Practice the four-paragraph structure of the article: introduce the problem → break down the causes → provide methods → guide the next step, and use real cases for paragraph-by-paragraph analysis. Clarify Humans are responsible for topic selection and facts, while AI assists with drafts and rewriting, supporting writing instructions, methods to remove AI flavor, and fact-checking steps. Choose whether the boss or an employee appears on camera based on the enterprise's situation, and design in advance the ownership and handover methods of accounts, content, and materials; practice the spoken script, basic shooting configuration, and batch shooting schedule, aiming to complete a batch of materials that can be continuously edited within half a day; break down content forms such as enterprise short dramas, product demonstrations, customer testimonials, and on-site shooting, as well as their use in sales follow-up. |
| Day 2 Afternoon | 1.7 Building an official website SEO/GEO portal system 1.8 Building a lead conversion system 1.9 Market data analysis, review, and optimization system |
The three core responsibilities of a website are Be found, be trusted, leave leads. Use four criteria to judge whether to optimize locally or redo entirely, and choose the investment approach based on the current situation. The check items here are: whether search engines can smoothly crawl your pages, whether the page structure is easy to understand, and whether the content is continuously updated, specifically covering the crawl rules file, sitemap, page titles and descriptions, hierarchical headings in the body text, and URL structure. Getting AI to willingly cite you is an incremental direction worth watching: Analyze the information sources commonly used by AI, add machine-readable annotations to pages, place a site description file written specifically for AI, and write content in a form that is easy to excerpt and cite; Q&A pages are the most common and effective form. Compare the impact of common lead capture methods, entry positions, and number of form fields on conversion, and design lead capture hooks that match the design and content; sort out entry points such as forms, phone, WeChat, direct messages, and offline, and design Lead pooling, notification triggers, response time limits, and first-contact scripts。 Establish backfill rules for lead status and win/loss reasons to form a weekly marketing-sales alignment mechanism; use sales communication materials within the scope approved by the enterprise, with AI assisting in extracting customer concerns, objections, competitors, and price sensitivity, then feed back into the lexicon and topic selection; finally, select the core metrics that managers need to continuously observe, and consolidate the official website, search terms, customer management records, and sales feedback into One requirements diagram。 |
It is not about listening for two days and taking away a handout. The course must produce six things specific to the enterprise on the same day, and upon returning to the position, there are four things that can be immediately started.
These five items are all on the same dashboard. Managers do not need to stare at it; key changes will be proactively pushed to them.
The three lines of course, official website, and system each have their own contact person, so there will be no situation where "after the course ends, no one is in charge."
Before Starting, First Look at the Company's Current Website, Content Foundation, Team Setup and Lead Handling Methods, Produce a Status Assessment, Then Decide Which of the Five Modules to Launch First and in What Order. It's Not About Pushing the Whole Package from the Start.
The course recommends that marketing, sales, and the boss attend together. Half of the eight links involve cross-departmental matters; if only the marketing colleague listens, they won't be able to push it forward after returning.
The keyword library, content schedule, customer profiles, and lead records all reside in the enterprise's own CRM; staff turnover does not affect the accumulation, and a replacement can pick up where the predecessor left off.
A system is not something you build once and leave alone. Review it once a quarter based on dashboard data: which keywords to add, which content directions to cut, which landing pages to revise, and feed the conclusions into the next quarter's schedule.
The six questions salespeople are asked most often, with all the answers written here, so you don't have to ask again.
You get both, and they are connected in series. The two-day course solves "the team knows what to do"; the SEO/GEO official website, AI CRM, automatic opportunity dispatch, and data dashboard solve "once you start, there is a system to support it." Taking only the course without implementing the system makes it hard to sustain after returning to the job; implementing only the system without the course leaves the team not knowing how to use the data in the system.
Not necessarily. The course has a set of four criteria for judging whether it is local optimization or a complete rebuild: whether it can be crawled by search engines, whether the page structure is easy to understand, whether the content is continuously updated, and whether there is an entry point to capture leads. For most enterprises, local optimization of the official website is enough; a rebuild is a minority case. Diagnostic conclusions will be given on the spot in class.
SEO makes a company searchable in search engines, while GEO makes a company mentioned and cited in AI Q&A. More and more customers now ask AI "which company in this industry is reliable" before contacting a company. AI answers come from public materials such as company official websites, encyclopedias, government and industry information, and media reports; companies with weak materials will not be cited. What GEO does is fill in these citation sources and write content in a form that AI can easily excerpt.
Lead capture forms and inquiry entry points on the official website are connected to CRM through interfaces. Once a customer submits, they automatically enter the CRM lead pool and are assigned to the corresponding salesperson according to rules, with no manual transfer needed. For inquiries that the system cannot capture, such as phone, WeChat, and offline, marketing staff register the source and customer concerns in CRM on the spot when receiving them.
Organic website traffic and key page performance, whether content is indexed by search engines and cited in AI answers, lead sources and follow-up status, win/loss reasons, sales response efficiency, and a monthly comparison of marketing investment versus opportunity output. Key changes are proactively alerted via WeCom, SMS, email, and in-CRM messages, so no one has to watch it daily.
On the day of the course, the enterprise's own current-state diagnosis, a draft keyword library, and a 100-day roadmap will be produced. Basic official website optimization and unified lead entry points can usually be implemented within one month, with visible changes in indexing and lead sources. Metrics such as keyword coverage and AI citations are continuous accumulations, generally observed by quarterly trends.
Leave your contact information and a senior consultant will provide a current-state assessment and priority improvement suggestions based on your industry
