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  6. Analysis service for causes of drop in AI search for energy equipment.

Analysis service for causes of drop in AI search for energy equipment.

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last updated:Feb 09, 2026

アンドワン 本社、東京支社、川崎営業所
アンドワン 本社、東京支社、川崎営業所
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"Energy-saving effects" and "implementation results" are not being accurately conveyed to AI. A diagnosis for energy equipment sites to be selected in AI searches.

As decarbonization management becomes urgent, equipment managers at companies are exploring "the most suitable energy solutions for their company's scale and applications" through AI searches. However, in the energy equipment industry, many opportunities for comparison are lost due to a structure where "AI cannot accurately simulate system configurations and ROI," despite possessing excellent technology and reduction achievements. This service analyzes your company's website based on the logic that "AI analyzes equipment specifications and applicable regulations." It visualizes where strengths are diminished and why other companies are recommended first. ▼ For concerns like these: - "Industry + energy conservation" or "BCP measures + equipment" searches do not mention your company. - Reduction achievements and implementation flows are visualized, but AI does not grasp specific effects. - Support information for subsidy compliance and statutory inspections is not reflected in AI's reliability assessment. - Strengths in the latest environmental technologies (such as hydrogen and energy storage) are generalized in AI's responses. Will you not remain a candidate for "next-generation infrastructure selection"? If you share your current URL, we will quickly organize the points where you are losing out and guide you on how to proceed with the diagnosis.

    Industrial Furnace
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Analysis service for causes of drop in AI search for energy equipment.

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  • Related Link - https://andoneweb.co.jp/
  • Special site - Product/service details - https://pr.mono.ipros.com/and1/product/

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basic information

**Features** - Cause Map: Identifying defects in whether "numerical values such as kW and efficiency" can be extracted, and whether AI can link "which regulations in which regions (e.g., revised Energy Conservation Law) are being addressed." - Improvement Instructions by Major Page: Emphasizing the structuring of data for "case studies (numerical reduction basis)" and making "maintenance and support systems (service networks)" AI-readable. - Quick Wins: Summarizing texts for "implementation simulations" to enhance searchability and strengthening the association with keywords like "decarbonization" and "carbon neutrality." **Our Strengths** "Reliable energy information influences the future of companies." In the energy sector, deficiencies in information are directly linked to long-term management risks. We propose a website that accurately conveys your solid solutions to AI and supports decision-making for stakeholders.

Price information

200,000 yen to 600,000 yen (depending on scale and number of target pages) * A simple diagnosis (light) is also possible first / estimate required is also acceptable.

Delivery Time

Please contact us for details

※Approximately 2 to 3 weeks (after the hearing is conducted)

Applications/Examples of results

- Manufacturing industry (BtoB) corporate site / product site / service site - Understanding the current situation before renewal, identifying the causes of decreased inquiries, and creating a starting point for GEO measures

catalog(20)

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Visualizing the risk of being "not chosen by AI search"

Visualizing the risk of being "not chosen by AI search"

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GEO Diagnosis (Structure Selected by AI)

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GEO Design (Sales × Web Integration)

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Corporate Structure Mapping

Corporate Structure Mapping

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

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

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6. Customer Understanding Research Design (B2B) for the Manufacturing Industry

6. Customer Understanding Research Design (B2B) for the Manufacturing Industry

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8. Sitemap Redesign for the Manufacturing Industry in the AI Era

8. Sitemap Redesign for the Manufacturing Industry in the AI Era

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9. Design of user navigation after search traffic (in-depth) | For the manufacturing industry

9. Design of user navigation after search traffic (in-depth) | For the manufacturing industry

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10. Structural design to increase brand searches | For the manufacturing industry

10. Structural design to increase brand searches | For the manufacturing industry

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11. Winning through competitive comparison: "Appeal Structure Design"

11. Winning through competitive comparison: "Appeal Structure Design"

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12. Information Structure Rewrite (AI Summary Support)

12. Information Structure Rewrite (AI Summary Support)

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13. Issue-specific landing design (GEO) next-generation entry strategy for the manufacturing industry

13. Issue-specific landing design (GEO) next-generation entry strategy for the manufacturing industry

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14. Web Copy Improvement (Psychological Triggers) for the Manufacturing Industry

14. Web Copy Improvement (Psychological Triggers) for the Manufacturing Industry

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15. FAQ Structuring (Foundation for AI Responses) for the Manufacturing Industry

15. FAQ Structuring (Foundation for AI Responses) for the Manufacturing Industry

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16. Product DB Information Design (AI Reference Optimization)

16. Product DB Information Design (AI Reference Optimization)

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17. Case Page Design (How to Show Reproducibility)

17. Case Page Design (How to Show Reproducibility)

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18. Manufacturing Industry GEO Starter Support: The Fastest Path to "AI-Selected Structure"

18. Manufacturing Industry GEO Starter Support: The Fastest Path to "AI-Selected Structure"

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19. Structured Content Operation Design for the Manufacturing Industry

19. Structured Content Operation Design for the Manufacturing Industry

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20. GEO Support (Monthly Improvement) for the Manufacturing Industry (For Our Production Site)

20. GEO Support (Monthly Improvement) for the Manufacturing Industry (For Our Production Site)

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7. Decision-making wire design (comparative examination measures) for the manufacturing industry

7. Decision-making wire design (comparative examination measures) for the manufacturing industry

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Company information

アンドワン

アンドワン 本社、東京支社、川崎営業所

IT/Telecommunications

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A site that is just cheap ultimately increases costs and risks." We propose web development that maximizes business results while thoroughly addressing essential requirements. Are you creating a website like this? - It seems that the websites of competitors look better, but you don't know why. - Every update incurs additional costs, and before you know it, expenses have ballooned beyond expectations. - While the appearance is nice, it ignores laws and industry-specific rules, leading to complaint risks... - You want to attract customers and inquiries, but the production company only talks about design. - As a result of choosing a production that is simply cheap, you are overwhelmed with trouble handling and can't focus on your core business. Point 1. Avoid troubles with a design that has no "gaps or omissions." 2. Minimize operational costs with a design that assumes in-house updates. 3. Planning power that pursues business results. "Is the initial cost a bit high?" But in the long run, it's safe and cost-effective. We have prepared a plan to truly deliver results "correctly.

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