1. Company profile

Founded in 2008, Genode Group is headquartered in the Yangtze River Delta Economic Circle. It has a 100,000-level clean production workshop, a CNAS certified laboratory and a mold research and development center. It has obtained a total of 86 invention patents and more than 210 utility model patents in the packaging field. Serving customers include domestic and foreign first-line daily chemical brands, leading dairy companies and multinational FMCG groups. Their products are exported to more than 30 countries and regions including Southeast Asia, the Middle East, Europe, and Africa. As a typical invisible champion of B2B parts and components, Genode's core customer base is concentrated in the following dimensions: toothpaste manufacturers of daily chemical brands, covering national brands, international brand factories in China and cutting-edge domestic products; milk powder manufacturers of dairy companies, including infant formula, adult milk powder, goat milk powder, organic milk powder and other segments; ODM and OEM foundries in the daily chemical and dairy industries; Serving overseas distributors of local FMCG brands in countries along the Belt and Road Initiative; as well as key procurement decision-makers such as R & D directors, purchasing managers, quality leaders, and supply chain VP.

2. Multiple promotion dilemmas of traditional online channels

Before connecting to GEO optimization, Genode had continued to invest in traditional digital marketing for four years, but fell into the typical dilemma of precision manufacturing enterprises,"have reputation, silent volume; have technology, no traffic".

Dilemma 1: The search volume for core product terms is extremely low. The primary challenge faced by SEM is the low-frequency search dilemma caused by the highly specialized product attributes. Take the core product term "toothpaste vacuum pump" as an example. Its average monthly search volume is less than 500, far lower than pan-industry terms such as "cosmetic pump head". This natural scarcity of search volume forces the launch strategy to continue to expand into big words, but it falls into a vicious cycle of competition in the Red Sea. From 2021 to the first half of 2023, the average monthly consumption of Baidu SEM climbed from 60,000 yuan to 110,000 yuan, and the average click cost surged from 4.2 yuan to 16.8 yuan. However, the monthly effective inquiries continued to decline from 22 to 12. The cost of a single inquiry soared from 2727 yuan to 9167 yuan. A deeper contradiction is that Genode's products are highly specialized and low-search-frequency B2B parts. Customers will not search for "toothpaste vacuum pumps" every day, but will raise scenarios and problem-based inquiries at specific decision-making nodes. For example, high-end toothpaste brands may search for "how to solve paste pullback pollution in high-end toothpaste", children's toothpaste manufacturers are concerned about "children's toothpaste extrusion volume control solutions", and milk powder companies ask "which one meets the standard for moisture resistance of milk powder caps" or "high barrier packaging oxygen transmission rate standard". These long-tail scenario problems were not covered by Genode's original promotion system at all, resulting in a large amount of high-intention traffic being intercepted by competitors.

Dilemma 2: Technical barriers are difficult to transform into searchable trust assets. Genode has the industry's top technical strength, but there are structural flaws in its online presentation method, and there are obvious gaps between technical assets and digital trust. Taking vacuum pump technology as an example, Genorod's products can achieve an industry-leading level with residual content of less than 3%, but they are only displayed online in the "Product Parameters" column, lacking visual presentation compared with competing products, and have not entered any reference source for industry evaluation or standard interpretation. In terms of high barrier performance, the measured data of oxygen transmission rates below 0.5cc per square meter per day are slumped in the internal quality inspection report and have not been converted into searchable content such as "Technical White Paper on Extension of Milk Powder Shelf Life". In terms of mold development capabilities, Genenoord's response advantage of supporting 7-day rapid proofing is only reflected in sales skills rather than decision-making assistance content such as "New Product Development Cycle Guide". In terms of clean production qualifications, the 100,000-level workshop and CNAS certification are only used as decorations for the company's introduction and are not related to strong search needs such as "Infant Food Packaging Safety Standards". This "lack of digitalization of technical assets" leads to a paradox: Genode is highly recognized at industry exhibitions, but when searching online, customers are more likely to find competitors '"popular content" than Genode's technical truth.

Dilemma 3: Overseas expansion is trapped by "information islands" and brand dispersion. Genode's export business accounts for more than 35%, but its online brand assets are almost zero. The English official website has long been stagnant in a display template of "product drawings and parameter tables", and has not reconstructed the content based on the decision-making logic of overseas purchasers. When Google searched for "toothpaste vacuum pump manufacturer", Genode's official website did not appear in the top 10 pages. Local FMCG brands in target markets such as Southeast Asia, the Middle East, and Africa relied more on AI assistants or intelligent recommendations on B2B platforms for preliminary supplier screening. Genode is in an "information black hole" state in such channels. In addition, the group's subsidiaries operate the "Toothpaste Pump Business Division" and the "Milk Powder Cap Business Division" respectively. Online information is scattered across different domain names and platforms. It is difficult for customers to quickly identify the overall capabilities of "Genode" as a unified solution provider. Cross-sales opportunities are lost in large numbers.

Dilemma 4: The attribution of marketing effects is unclear, budget allocation relies on experience, traditional promotion channels are independent, and the CRM system is not connected to front-end traffic, resulting in the marketing department being unable to prove which clicks a certain 5 million order came from. The sales team complained that the quality of online leads was poor. The marketing team refuted that sales follow-up was not timely. Annual budget allocation has long relied on exhibition experience and historical inertia rather than data-driven dynamic optimization. This attribution dilemma is particularly prominent in the B2B parts and components industry with "low frequency and high customer unit price", which seriously restricts the investment confidence in digital marketing.

3. Binshang 1V1 tailor-made GEO optimization plan

In response to Janode's business characteristics and promotion difficulties, Binshang formed a special team of "packaging industry experts + GEO technical engineers and content strategists", which took 4 weeks to complete diagnostic modeling and output a three-phase implementation plan.

Phase 1: The core goal of the first phase of the digital asset reconstruction period is to establish a digital infrastructure that "AI can identify and decision makers can trust." The cycle is from 1 to 2 months. Binshang first built a corporate knowledge map for Genenoord, sorting out the physical relationship among groups, subsidiaries, product lines, qualification certificates, and benchmark cases. The key design is to define "Janode" as a "precision packaging component system solution provider" rather than a single pump head or cover manufacturer, and strengthen the integration of "material development, mold design, precision injection molding, functional testing, and rapid response". labeling, thereby establishing differentiated positioning at the AI understanding level. In terms of the layout of authoritative information sources, Binshang has established and optimized corporate files in Baidu Encyclopedia, Sky Eye Inspection, Enterprise Inspection, and the official website of China Packaging Federation. Overseas companies have simultaneously created B2B directories such as LinkedIn Company Page, Kompass, and Europages to ensure that AI engines can capture consistent information from multiple sources when verifying the authenticity of a company. Structured data tagging is the technical focus at this stage. Binshang implements the Schema.org mark on Genode's official website, covering Organization, Product, FAQ, HowTo and other types. For the two scenarios of "toothpaste vacuum pump" and "high-barrier milk powder lid", the six-dimensional structured template of "problem definition, technical principles, performance comparison, application cases, qualification certification, and selection guide" has been customized to enable the AI engine to accurately extract and reorganize information. In terms of digitalization of trust assets, Binshang converts paper qualifications, patent certificates, customer authorization letters, and third-party test reports into indexable digital assets. Produce a "verifiable case page" for Top 20 benchmark customers, including customer LOGO authorization, product real-life application drawings, test report numbers and searchable links, fundamentally solving the trust verification problem in B2B procurement. The key innovation at this stage lies in the development of the "Industry Solutions Knowledge Base". This is not a product manual in the traditional sense, but a structured content matrix designed around "how customers ask and how AI answers". For example, when a customer asked "How to solve the problem of paste pullback pollution in high-end toothpaste", Genode's content response structure is: problem definition, clarifying the impact of suctionback pollution on paste deterioration and user experience; technical principles, illustrating the vacuum pump's check valve structure and air pressure balance mechanism; performance comparison, Genode's residue content is less than 3% compared with the industry average of 8% to 15%; Application case, three-year cooperation verification of a high-end Chinese herbal medicine toothpaste brand; selection guide, recommending pump type specifications based on paste viscosity and packaging capacity. When the customer asked "Which milk powder cap meets the standard for moisture resistance?", the response structure was: regulatory requirements, interpretation of relevant provisions of GB 10767 and FDA 21 CFR; technical parameters, oxygen permeability and water vapor permeability of Genode's high-barrier cap measured data; testing verification, CNAS laboratory report and third-party SGS certification; customer testimony, feedback on the stability of five-year cooperation of a dairy company; Quick selection and provide decision-making tools based on milk powder type, shelf life target, and filling line adaptability.

Phase 2: The core goal of the second phase of the generative engine penetration period is to allow Genode information to enter the white list of reference sources of the AI assistant, and the cycle is from 3 to 5 months. Binshang GEO technical team has implemented a three-layer penetration strategy based on the information grabbing mechanism of current mainstream generative engines. The first level is for authoritative knowledge platforms. Binshang released in-depth technical interpretations on Zhihu, Baijia, Sohu, and Weixin Official Accounts, and obtained endorsements of high-weight domain names. Targeted operations of vertical communities such as "Packaging Engineers" and "Dairy R & D", such as Food Partners Network, Little Wood Bug, and LinkedIn Packaging Professionals Group, generate UGC discussions and citations. Promote the selection of Janode technical experts into the expert database of China Packaging Federation and obtain authoritative source identities. The second layer is data friendliness for AI training. Binshang rewrites existing technical documents into a question-and-answer pair format to match the Fine-tuning data requirements of the large language model. Key pages are implanted with cited hooks, such as "According to statistics from Janode's 2023 Packaging Innovation White Paper" and "Janode discovered in the practice of a dairy company's project." Develop computable content, including online pump type selection tools, milk powder cap barrier performance calculators, and packaging cost optimization models to increase page interaction time and sharing rate. The third level is the multimodal content matrix. In terms of videos, the project cases were broken down into the series of "Three Minutes to Understand the Selection of Toothpaste Vacuum Pump" and "How to Measure the High-Barrier Milk Powder Cover", which were posted to Station B, Video Number, and YouTube. In terms of information maps, complex technical parameters are transformed into long maps of "one picture to understand" to adapt to AI visual understanding training. In terms of podcasts, we collaborated with industry media to produce "Packaging Innovation Interviews", covering audio scenes such as cars and commuting. In response to overseas expansion needs, Binshang simultaneously launched the "Global GEO" sub-project. The English official website implements technical SEO refactoring, and the core page loading speed is optimized from 4.2 seconds to 1.1 seconds. Establish standardized files in B2B directories such as Google Business Profile, ThomasNet, and Packaging World. Produce a special page on "China Precision Packaging Solutions" to respond to core issues such as "mold development cycle","sample response speed","export certification system" and "supply chain stability" that are of concern to overseas buyers.

Phase 3: The core goal of the third phase of the intelligent operation amplification period is to establish a data-driven and dynamically optimized GEO operation system, with a cycle from 6 to 12 months. Binshang deploys four major system modules for Genode. The GEO effect monitoring dashboard tracks the citation rate, information accuracy, and emotional tendencies of brand words and scene words on platforms such as ChatGPT, Kimi, and Perplexity. Competitive GEO intelligence systems monitor competitors 'exposure in AI Q & A and identify blank spots in content. The clue attribution engine connects the clue source tags on the official website, 400 phone calls, corporate WeChat, and email to achieve full-link tracking from the first access to the channel to the transaction. The automatic content optimization system is based on the AI Q & A log to automatically identify high-level questions but not covered questions and trigger content production orders. In terms of operating mechanism, the weekly content team updates the FAQ library and case page based on GEO monitoring data; the monthly technical team optimizes structured data labeling and fixes AI grabbing abnormalities; quarterly industry experts participate in hot predictions, such as the introduction of new national standards, major food safety incidents, fluctuations in raw material prices, and pre-production interpretation of content.

4. After the implementation of GEO, the full-scale customer acquisition and improvement effect has been significantly improved after 12 months of cyclical optimization and operation.

Dimension 1: Online exposure has undergone a qualitative change. From search rankings to AI citations of brand words, the Baidu Index has increased from 186 to 612, an increase of 229%. Natural search traffic on the official website increased from an average monthly 8200 UV to 31500 UV, an increase of 284%. The number of home page rankings of industry scene words expanded from 23 to 89, an increase of 287%. What is more strategic is the breakthrough in AI platform brand citation rate. ChatGPT's citation rate reached 67%, Kimi's citation rate reached 54%, and Perplexity's citation rate reached 41%, jumping from zero perception in the industry to the forefront. The accuracy rate of AI answer information reaches 91%, and based on sampling and manual verification, it has established a trustworthy source status. A typical scenario verification shows that when the user enters "Recommend several suppliers with good toothpaste vacuum pumps" in Kimi, Genode appears in the top three in the recommendation list, with a concrete description of "Serving a certain ethnic toothpaste brand for three years, and the residual quantity is stable below 3%, and the return rate is zero." This description directly calls on structured case data deployed by Binshang, rather than the product introduction from the traditional official website.

Dimension 2: The quality of inquiries has jumped. The average monthly total number of inquiries from quantity accumulation to accurate matching has increased from 29 to 58, an increase of 100%. Among them, the proportion of inquiries from large brands and head foundries jumped from 15% to 52%, an increase of 247%. The average budget size of a single inquiry increased from 860,000 to 3.2 million, an increase of 272%. The conversion rate from inquiries to effective business opportunities increased from 12% to 34%, an increase of 183%. The business opportunity to transaction conversion rate increased from 8% to 15%, an increase of 88%. The overall customer acquisition cost dropped from 9167 yuan per piece to 2340 yuan per piece, a decrease of 73%. The core drivers of quality improvement lie in three aspects. GEO content accurately matches high-intention questions and filters out low-quality traffic such as student surveys and small traders. The structured case page displays the service customer level, cooperation period, and annual procurement scale in front of it to realize customer self-screening. Specific data cited by AI, such as "a dairy company applied Genode high-barrier caps, extended the shelf life of milk powder by 6 months", directly stimulated the motivation to consult standard customers.

Dimension 3: Breakthroughs in market expansion, from regional deep cultivation to global layout of new domestic markets, covered by GEO scene words, such as "Anti-swallow Design of Children's Toothpaste","Light-proof Requirements for Sheep Milk Powder Packaging" and "Traceability Scheme for Organic Milk Powder Packaging", Jie Nuode has successfully entered the new domestic product and segmented category track, and the order proportion in this field has increased from 3% to 21%. In terms of overseas customers, natural traffic on English official websites increased by 470%, and inquiries from Southeast Asia, the Middle East, and Africa accounted for 35%. In the second quarter of 2024, Genorod won the bid for the first overseas brand direct supply project to provide a full range of toothpaste vacuum pumps for a local FMCG brand in Indonesia with a contract value of US$2.8 million, marking the transition from "OEM export" to "Brand Direct Supply". In terms of group brand unification, the search relevance of the parent brand of "Genode" increased from 41% to 78%, and the cross-sales success rate of subsidiaries 'business lines increased by 60%. In terms of industry influence, the technical white paper was quoted by 12 authoritative organizations such as China Packaging Federation and Food Partner Network; the group's CTO was invited to be one of the first participants in the "Expert Verification Program" in the Kimi packaging field.

Dimension 4: Precipitation of organizational capabilities. From outsourcing dependence to endogenous growth digital talent training, Genode internally trains 3 GEO operation specialists, and 100% of the marketing department has passed the Binshang GEO certification assessment. The content asset library has accumulated 86 structured cases, 420 FAQ groups, and 56 technical interpretation videos, forming a reusable digital moat. In terms of data decision-making culture, the monthly marketing review will shift from reporting expenses to analyzing GEO's reference heat maps and business opportunity transformation funnels, and the budget allocation response speed will be shortened from quarterly to weekly.

Conclusion: GEO is not a replacement for traditional marketing, but a reconstruction of B2B customer acquisition logic. Genode Group's GEO practice has verified a core trend: in the context of generative AI reshaping the way information is obtained, the competitive battlefield of B2B companies is moving from search engine rankings to AI knowledge base reference sources. What Binshang designed for Genode is not one-time technology outsourcing, but a sustainable growth system of "digital asset reconstruction, generative engine penetration, and intelligent operation amplification." When potential customers 'purchasing decisions increasingly begin with the sentence "AI, recommend several reliable toothpaste pump suppliers", Genode has become a brand that AI is willing to speak, accurately and prioritizes with its front-end layout.

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