アンドワン Product Lineup

"Although there is a website, new inquiries are not increasing" — the cause lies not in the amount of information, but in the insufficient clarification of "solutions" that AI and representatives seek. Now that logistics stagnation has become the norm, shippers are exploring "solutions that maximize delivery efficiency with the limited resources currently available" through AI searches. However, websites with outdated information structures quietly fall out of AI comparison results, even if they have excellent systems and track records. This service redesigns the web structure to comply with regulations from 2024 onwards and anticipates the "2030 problem" in terms of sales realities and product characteristics. It supports determining "which issues to address, in what order, and what to say to be chosen." ■ Service Offerings (3 points) - Organization of business, products, and customers (winning strategies for problem-solving / selection criteria / handling objections) - Redesign of information structure and pathways (entry points by issue/solution → deep dive → CTA) - Creation of key page outlines (headline structure, appeal axes, placement of case studies/FAQs) Deliverables: Redesign report (To-Be structure) + sitemap + key page outlines + improvement roadmap Scope: Focused on designing key pages (top + product/service groups + case studies + document downloads, etc.)

"Although there is a website, inquiries are not increasing" — the cause lies not in the amount of information, but in "insufficient structural design." With the spread of generative AI and AI search, users do not read pages thoroughly; instead, they narrow down their options based on the results of "adaptability and cost comparison" provided by AI. Websites that are not structured quietly fall out of the comparison arena, even if they have excellent technology. This service redesigns the web structure to communicate effectively to both AI and humans, taking into account the sales realities, regional characteristics, and decision-making processes in the agricultural field. It supports determining "which information to present, in what order, and how to make it resonate with the field." ■ Provided Content (3 points) - Organization of field, products, and decision-making (adaptable crops/selection criteria/cost recovery logic) - Redesign of information structure and pathways (region/crop-specific entry → in-depth technology exploration → CTA) - Creation of key page outlines (headline structure, appeal axes, placement of case studies/FAQs) Deliverables: Redesign report (To-Be structure) + sitemap + key page outlines + improvement roadmap Scope: Focused on designing key pages (top + product groups + case studies + document downloads, etc.) with production handled separately. *Please first share the current URL and products. We will organize the current "structural defects" and provide guidance on the redesign.

We have published a white paper summarizing the structural conditions necessary for manufacturing industry websites to be evaluated and recommended by AI, as revealed in an AI demonstration experiment. ■ What does AI evaluate? In a demonstration case from February 2026, specific materials were automatically displayed as related materials solely based on algorithms, without relying on human selection or advertising budgets. AI assesses not just simple word matching (keyword volume), but rather the "similarity of meaning structures" of the entire text. ■ Five structural conditions to be chosen by AI This document explains the conditions that AI prioritizes when summarizing, comparing, and recommending information. ■ New evaluation metric for manufacturing websites: "GEO" Simply listing specifications will not lead to evaluation by AI. We will introduce a method to redefine the web not as a sales tool, but as a "blueprint that shows the structure of the company." *For more details, please download the PDF document.

This service inventories the complex business, technology, products, and sales processes unique to the automotive industry, and distills "which process," "which issues," and "why our company can solve them" into a single structural diagram. As a result, the communication axis for web content, sales materials, exhibitions, and recruitment is sharpened to a level that does not rely on "affiliations or existing transactions," creating a foundation to "win" in the comparison and consideration of new projects. 【Usage Scenarios】 - Introduction of new technologies for EV shift and CASE response - Improvement of the quality and accuracy of "Request for Quotation (RFQ)" - Moving away from "cataloging" in exhibitions and websites - Resolution of the personalization of technical sales and standardization of "winning materials" - Visualization of technology to attract excellent engineers 【Effects of Implementation】 - Acquisition of nominations from both "AI and humans" - Prevention of "dropout" in the consideration process - Reduction of sales costs and increase in order unit prices - Completion of a "command center" for all communication media

The generative AI that searches for JAXA and private space venture representatives and suppliers evaluates companies based on "trust and process structure" rather than "processing capability." This service inventories advanced technologies, certifications, and special processes, consolidating "which level of challenges can be completed and why" into a single structural diagram. It establishes a standard for communication that ensures you won't be "excluded" even in long-term projects spanning several years. 【Usage Scenarios】 - Entry into new fields: Redefining in-house technology as "space and defense quality" to develop new sales channels. - Weaponizing certifications: Transforming certifications like JIS Q 9100 from mere labels into "decisive factors for selection." - Standardizing technical sales: Eliminating subjective explanations and unifying "winning logic" through web and materials. - AI search optimization: Ensuring AI correctly recognizes you as a "specialist in a specific field" to avoid missing business opportunities. 【Effects of Implementation】 - Preventing dropouts in the consideration process: You can proactively present the "basis for selection" needed for customers' internal approvals. - Increasing nomination rates: By structuring information, you become more likely to be nominated as the "first choice" by AI and customers. - Consistent brand building: Aligning proposals from the web to documents eliminates wasted information dissemination.

Medical device manufacturers and generative AI assess companies based on "compliance with regulations and quality assurance structures" rather than "processing capabilities." This service inventories your technology and QMS system, consolidating "which clinical challenges your company can solve and why" into a single structural diagram. It establishes criteria for communication that ensures you are not "left out" even in the long deliberation process that takes years until approval. 【Usage Scenarios】 - Medical Entry: Redefine existing technology as "medical grade" and want to develop relationships with major manufacturers. - Weaponizing Quality: Transform standards like ISO 13485 from mere labels into a basis for "reducing development risks." - Standardizing Sales: Aim to unify "winning logic" in web and materials directed at doctors and developers. - AI Search Optimization: Ensure AI correctly recognizes experts and effectively captures digital business opportunities. 【Benefits of Implementation】 - Prevention of Dropouts in the Deliberation Process: Proactively present necessary evidence against the strict selection criteria unique to medical device development. - Increased Nomination Rate: Become more likely to be prioritized as a "reliable partner candidate" by AI and customers. - Consistent Communication: Align proposals from the web to materials, eliminating waste in information dissemination considering regulations like the Pharmaceutical and Medical Device Act.

Food manufacturers and generative AI assess companies not merely as "suppliers" but as "structures for solving food safety and added value." This service inventories your raw materials, technologies, and management systems, consolidating "which needs can be solved and why" into a structural diagram. It establishes a standard for communication that continues to be "chosen" even amidst rapidly changing food trends. 【Usage Scenarios】 - Introduction of new materials and technologies: I want to redefine our unique manufacturing methods as the basis for customers' "hit product development." - Weaponizing safety and quality: I want to convey our strict hygiene management system as a value that reduces customers' "brand damage risk." - Standardization of sales: I want to unify the "winning logic" in web and materials for product developers and purchasing staff to increase order rates. - AI search optimization: I want AI to correctly recognize experts in specific fields and reliably capture digital business opportunities. 【Effects of Implementation】 - Prevention of dropouts in the consideration process: We can proactively present evidence that aligns with customers' strict hiring criteria. - Improvement in nomination acquisition rates: We will be prioritized as the "optimal partner for product development" by AI and customers. - Consistent communication: From the web to proposals, the messaging is aligned, eliminating communication costs across various applications.

Energy market representatives and generative AI evaluate companies not as "just equipment suppliers" but as "solution structures that balance decarbonization and economic viability." This service inventories your technology and maintenance systems, consolidating "which challenges can be solved and why" into a single structural diagram. In a market where GX investments are accelerating, we establish criteria for communication that ensures you are not excluded from comparisons. 【Usage Scenarios】 - Decarbonization Appeal: We want to redefine advanced technology as the shortest route to achieving customers' "environmental goals." - Visualization of Economic Viability: We want to transform the strengths of maintenance efficiency into a basis for long-term "cost reduction." - Standardization of Sales: We want to ensure consistency in "selection reasons" for equipment investment personnel through web and materials. - AI Search Optimization: We want to ensure that AI correctly recognizes us as experts and captures digital business opportunities reliably. 【Effects of Implementation】 - Prevention of Drop-off in Consideration Process: We can proactively present necessary evidence against strict selection criteria for investment recovery and environmental performance. - Increased Nomination Rate: We will be prioritized and recognized by AI and customers as the "optimal partner for carbon neutrality." - Consistent Communication: From web proposals to materials, alignment is achieved, eliminating waste in conveying the value of complex energy businesses.

Food and daily necessities manufacturers, as well as generative AI, assess companies not as "material and machinery providers" but as "structures for solving environmental and productivity issues." This service inventories your company's technologies and know-how, consolidating "which packaging challenges can be solved and why" into a single structural diagram. In a market where SDGs compliance and labor shortages are accelerating, we establish criteria for communication that ensures you are not excluded from comparisons. 【Usage Scenarios】 - Environmental appeal: We want to redefine technologies such as plastic reduction as contributions to customers' "ESG management." - Weaponizing labor-saving: We want to transform the automation of packaging lines from merely "speed" to a "solution for labor shortages." - Standardizing sales: We want to unify the "winning logic" for product developers and purchasing personnel through web and documentation. - AI search optimization: We want AI to correctly recognize experts and reliably seize digital business opportunities. 【Effects of Implementation】 - Preventing drop-off in the consideration process: We can proactively present evidence that aligns with customers' environmental policies and cost targets. - Increased nomination rates: We will be prioritized and nominated as "partners in problem-solving" by AI and customers. - Consistent messaging: From the web to proposals, the messaging is aligned, eliminating waste in communication across a wide range of products and applications.