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[Data] Web Production that Generates Results: Philosophy and Foundation Edition

Think from 'design' rather than 'planning.' The idea of 'link' gave birth to the Web.

This document explains the philosophy and foundation of web production that generates results. It details the origin of design that started from "connecting," the reasons why a site that "just exists" cannot produce results, and the four axes of content design. Each chapter is clearly explained, making it a useful reference. Please download it and take a look. [Contents (partial)] ■ The reason HTML was created - Why did the web start with "links"? ■ Why do companies need a website - From "business card" to "profit device" ■ Who is the website for - From "self-expression of the management" to "user perspective" ■ What is content - Designing images, text, and structure from the "delivery method" ■ Is "good design sells" an illusion - The true relationship between visuals and results *For more details, please download the PDF or feel free to contact us.

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[Presentation of Materials] Before AI stops bringing customers, Ideology and Crisis Awareness Edition

Become a company that is chosen just by "redesigning" the web for the manufacturing industry!

In this document, we have organized the topic of "How should the manufacturing industry's web be redesigned in the AI era?" in a way that can be understood without specialized knowledge. We explain the reasons why redesign is necessary for manufacturing industry websites, the changes in customer information gathering in the AI era, and the perspectives from which AI interprets the web. Our company offers simple diagnostics and consultations regarding web redesign for the AI era. If you are interested, please feel free to contact us. [Contents (partial)] ■ Why is "redesign" necessary for manufacturing industry websites now? ■ How customer information gathering has changed in the AI era ■ What does AI look at on the web and how does it make judgments? ■ Typical patterns of manufacturing industry websites that are not valued by AI ■ Basic principles of web structure that are valued in the AI era ■ Content structures that work well with ChatGPT and AI search *For more details, please download the PDF or feel free to contact us.

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[Presentation of Materials] Practical Guide to Becoming a Company Chosen by AI: GEO Edition

A new customer acquisition strategy for an era where you can't compete with SEO! An explanation of content structures favored by AI.

This white paper is not a document that explains "the reasons why SEO has become ineffective." It also does not provide specific know-how or templates for GEO strategies. The purpose of this document is singular. It aims to articulate what AI looks at, understands, and judges as "good information" when evaluating content. It seeks to clarify the criteria and structure of that judgment. [Contents] ■ AI reads "structure" rather than "text" ■ The "three structural principles" that are evaluated by GEO ■ Typical patterns of content that are not evaluated by AI ■ Page structures recognized by AI as "organized" ■ GEO is about "overall web design" rather than "article production" ■ ACTSITE's perspective on "web redesign in the GEO era" ■ Whether or not AI selects content is determined by "the ability to design structure" *For more details, please download the PDF or feel free to contact us.

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[Presentation of Materials] AI is no longer looking at websites.

The Misalignment of Sales Structure Leading to the 'Ineffectiveness of Web Strategies' and the Redesign Theory in the AI Era.

This document is a white paper aimed at organizing the structural reasons behind "what is valued in the AI era and why many web initiatives have ceased to function." It provides a detailed explanation of the evaluation (points) of the past and the evaluation (structure) in the AI era, as well as the structural consistency of the entire company as seen by AI, and the true web redesign process. AndOne is not a company that "creates" websites. We are a partner that organizes the structures of sales, business, and information, and designs the web by working backward from results. [Contents (partial)] ■ Introduction | Why have improvements to the web stopped yielding results? ■ The real changes occurring in the AI era ■ AI evaluates "companies" rather than "content" ■ Failures of companies where the sales structure and web are disconnected ■ Why have "correct web initiatives" stopped producing results? *For more details, please download the PDF or feel free to contact us.

  • Business Intelligence and Data Analysis
  • Web Production

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Web production

Web production

At NEO NAGASHIMA, we also engage in web production. We have many achievements, including corporate sites using WordPress. 【Past Achievements】 - Study abroad referral site - Water server ranking site - Travel agency site - Restaurant introduction site For more details, please download the materials or feel free to contact us.

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[Web Production Achievements] Cine Focus Co., Ltd.

The goal is to increase navigation within the site! Created with a focus on being easy to read and simple, while ensuring it doesn't look cheap.

We were involved in the renewal of the corporate website for Cine Focus Co., Ltd., which handles event production planning and equipment rental. In addition to information about the products offered, we organized links to various content such as columns, aiming to increase navigation within the site. Regarding the design, we focused on making it easy to read and simple, while ensuring it does not appear cheap. 【Overview】 ■ Scope of Work: WEB Production ■ Category: Design, Coding ■ Client: Cine Focus Co., Ltd. *For more details, please refer to the PDF document or feel free to contact us.

  • Other services
  • Web Production

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What is a website that produces results?

The goal is not to create, but to establish a strategy as a means to achieve results and shape it on the web.

Many websites are created from "means" rather than "purpose." As a result, they end up being sites that serve no one. At And One, unlike the typical approach where "creating" becomes the goal, we consistently structure a "process for achieving results." That is the "And One Method." *For more details, please download the PDF or feel free to contact us.*

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[Information] Introduction to GEO for Becoming a Company Chosen by AI

In the era of generative AI, "corporate evaluation" is determined not by searches but by whether it is "cited."

This document provides a detailed explanation of the new fundamentals of customer acquisition that small and medium-sized enterprises should know now. We also introduce the benefits that GEO brings to companies, such as being "chosen even without being searched," the knowledge of all employees being turned into assets, and long-term evaluations that do not decline. AI tools like ChatGPT, Gemini, and Copilot are looking for "reliable sources of information to generate answers." As a result, the need for GEO (Generative Engine Optimization) has arisen. GEO is a mechanism that allows companies to gain trust by being cited by AI. 【Contents (partial)】 ■ Introduction | The End of the SEO Era and the Emergence of "GEO" ■ Vol.1 From "Discovery" to "Trust" in the AI Era ■ Vol.2 The Shift in Search from "Human → AI" ■ Vol.3 The Core of GEO is Creating "Reasons to be Cited" ■ Vol.4 Fighting in a "Forest of Context" Rather than a Sea of Information *For more details, please download the PDF or feel free to contact us.

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[Presentation of Data] Companies Evaluated by ChatGPT and Companies Not Evaluated by ChatGPT

Winning manufacturing industry 'information design models' with AI search! ChatGPT evaluates 'the company itself'.

This book is not a book that provides answers. It is a "diagnostic report" to calmly verify whether your company is an explainable entity for AI. It clearly explains the reasons why, even with technology, AI may not favor you, and the logic behind why AI includes certain candidates in its "recommendations." If you find yourself feeling uncomfortable while reading or become anxious about your company's website, that is not a problem. The fact that you have realized this is already a significant step. 【Contents】 ■ How does ChatGPT perceive "companies"? ■ Seven common structures of "companies not evaluated" by ChatGPT ■ The moment ChatGPT determines "this company is trustworthy" ■ What manufacturing websites are fundamentally getting wrong right now ■ So, how can you become a "company not disliked by AI"? ■ Why AndOne can write on this topic *For more details, please download the PDF or feel free to contact us.

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Web Redesign Support for the Metal Industry in the Era of Generative AI

Even when summarized by AI, it remains in the structure of being a "candidate for comparison." Before reworking it, we will establish a "form that accurately conveys the specifications."

The reason why 'there is a website, but inquiries are not increasing' is not the amount of information, but rather 'structural deficiencies.' With the spread of AI search, designers narrow down candidates based on AI's 'comparison results' without thorough reading. Websites where specifications are locked in images or PDFs are ignored by AI, even if they have the technology, and fall off the comparison stage. This service redesigns the structure to communicate effectively to both AI and humans, taking into account the business negotiation process in the metal industry. It helps determine 'what to say and how to be chosen' and supports effective renewal. [Usage Scenarios] - Creating blueprints before production: Logically confirm a data structure that will be chosen by AI before production. - Assetizing technology: Transform information buried in catalogs into a sales foundation that works 24/7. - Developing new sales channels: Help designers in new industries discover your company through AI. [Effects of Implementation] - Establishing comparative advantage: Strengths are accurately cited in AI responses, ensuring they are not excluded from consideration. - Reducing sales costs: Selection criteria become clear, leading to an increase in high-quality inquiries. - Increasing asset value: Acquire customer attraction assets that AI continues to evaluate as 'specialized information sources.'

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27. Wire design chosen based on technical comparison

Companies that do not lose in comparison charts are already winning before the comparison chart. We design the "criteria" for technical comparisons and create a pathway for selection.

Losses in B2B manufacturing occur not due to a lack of technical capability, but because the competitor holds the "arena for comparison." During the comparison stage, users narrow down their options not only based on specifications, price, and delivery time, but also by checking whether there will be "no failures," "operational feasibility," "stable supply," and "adequate guarantees." However, many sites fail to present criteria for comparison, ultimately leading to comparisons based on the competitor's standards and resulting in a price competition. Our service designs comparison criteria where your company can win (such as quality, structure, compatibility, risk reduction, etc.) and addresses common questions (objections) that arise during the comparison process, creating a situation where the judgment is not "this company is safe" but "this company is optimal." ▼ For concerns like these: - Price competition during comparisons leaves no profit. - Despite having technology, losing to competitors in a "safe" manner. - In competitive quotes, it ultimately turns into a discount battle. - Decision-makers say, "I don't really understand, so I'll go with the cheaper option." - Salespeople struggle to explain comparisons verbally each time (leading to dependency on individuals). *Please share the current URL and the "reasons for losing in competitive comparisons (assumptions are fine)." We will address the structural weaknesses in your comparisons.

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Web structure redesign support for industrial machinery.

Even when summarized by AI, it will remain a structure that is a "strong candidate" for selection. Before rebuilding, we will establish a "form that accurately conveys the strengths of processing."

The reason that "excellent processing accuracy is not reflected in AI's responses" lies not in the quantity of information, but in the "structural deficiencies" that prevent AI from interpreting technical capabilities. With the spread of AI search, engineers ask AI about "machines that can achieve specific processing in the shortest time" without thorough reading. Websites where specifications are locked in images or PDFs, even if the technology is excellent, are ignored by AI and fall out of the comparison arena. This service redesigns the structure to convey information effectively to both AI and humans, determining "what to show and how to be chosen," and supports a renewal that yields results. [Usage Scenarios] - I want to create a structure where processing capabilities and accuracy are correctly cited in AI's comparative responses. - I want AI to recognize robot collaboration and the latest control technologies as "solutions." - I want to organize vast amounts of technical information to facilitate self-resolution and gain trust through AI responses. [Benefits of Implementation] - Your company's machines will be cited as "optimal solutions" in AI's recommendation lists. - Clear selection criteria will reduce specification mismatches, leading to an increase in high-quality inquiries. - You will acquire a robust customer attraction asset that AI continues to evaluate as a "specialized information source."

  • lathe
  • Grinding Machine
  • Milling machine
  • Web Production

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Web Redesign Support for the Chemical Industry in the Era of Generative AI

Even when summarized by AI, it will remain in the structure of the "main candidate" for the formulation. Before reconstructing, we will confirm the "type that accurately conveys the superiority of physical properties."

The reason why "the strengths of unique formulation technology and material properties are not reflected in AI" is due to a "structural deficiency" where AI cannot interpret the technical basis. With the spread of AI searches, researchers narrow down their options by asking AI about "specific applications or property values" without thorough reading. Websites where specifications are locked in images or PDFs, despite having excellent technical capabilities, are ignored by AI and fall out of the comparison arena. This service redesigns the structure to communicate effectively to both AI and humans, determining "which properties and applications to showcase to be selected," and supports the renewal process. 【Usage Scenarios】 - Optimization of formulation proposals: Create a structure that allows AI to accurately reference property values and application examples. - Compliance with regulations: Ensure AI recognizes compliance with regulations like REACH as "reassurance in selection." - Application development: Present industry-specific case studies as strengths through AI's comparative responses. 【Benefits of Implementation】 - Search superiority: Your materials will be cited as the "optimal solution" in AI's recommendation lists. - Improved quality of sample requests: Clear selection criteria will reduce mismatched inquiries. - Assetization of information: Gain a customer attraction asset that AI continues to evaluate as a "reliable source of materials."

  • Physicochemical testing
  • Chemicals
  • Plating Equipment
  • Web Production

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