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  6. 113. AI-Compatible FAQ Structured Design

113. AI-Compatible FAQ Structured Design

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last updated:Feb 12, 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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FAQs shift from "listing" to "answering." We organize FAQs into a structure that AI can accurately reference, achieving both a reduction in inquiries and a seamless conversion pathway.

The reason why inquiries do not decrease despite having an FAQ is that the FAQ is structured in a way that is "difficult to search for both AI and humans." Questions are long, points are mixed, there are many variations in notation, conclusions are delayed, and prerequisite conditions are not stated. Such FAQs are hard for users to read and resolve, and they are also prone to misunderstanding by AI. In this service, we will restructure the existing FAQs (or inquiry logs) into a format that is easier for AI to reference and respond to. This is not just a simple rewrite; we will unify it in the format of **"Conclusion → Conditions → Evidence → Next Action,"** and also incorporate links to related pages, document downloads, and pathways to estimates/consultations. This design will be effective both as a preliminary step for implementing AI chat and as an improvement of the FAQ on its own. ■ Provided Content (3 Points) 1. FAQ Inventory (organizing duplicates, deficiencies, and mixed points) 2. Structured Rewrite (AI-friendly granularity, conditions, and notation standardization) 3. Pathway Design (related links, CTAs, inquiry/document download branching) *First, please tell us the "top 20 frequently asked questions" and the "types of inquiries you want to reduce." We will determine the granularity of the FAQ.*

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113. AI-Compatible FAQ Structured Design

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■Concerns like these - Repeated responses to the same questions, resulting in no reduction in workload - FAQs are not being read or are hard to find - Want to implement AI chat but fear incorrect answers - Technical questions are complex and cannot be turned into FAQs - Want to unify quality, including for overseas (English) audiences ■Provided Content (Details) - 1) FAQ inventory (create a "blueprint for FAQs") - 2) Structuring FAQs so that AI does not misunderstand (standardized format) - 3) Designing for improved searchability (effective for both humans and AI) - 4) Conversion pathways (not making FAQs an "exit") - 5) Operational design (FAQs are not a one-time creation) ■Deliverables - FAQ blueprint (categories, priorities, granularity, additional candidates) - Structured FAQ draft (conclusion → conditions → rationale → next action) - Notation/terminology rules (dictionary, prohibitions, unit/standard notation) - Related link design (products/cases/comparisons/delivery/forms) - Operational rules (updates, approvals, log improvements) - KPI design (self-resolution rate, inquiry reduction, conversion)

Price information

■1.5 million yen to 9 million yen (varies based on the number of FAQs and difficulty) - Light (20 to 40 questions): 1.5 to 3 million yen - Standard (40 to 100 questions + flow design + dictionary): 3 to 6 million yen - Expanded (over 100 questions, multilingual, operational support): 6 to 9 million yen *Estimate required

Delivery Time

Please contact us for details

※Minimum 2-3 weeks / Standard 1-2 months (varies depending on the number of FAQs)

Applications/Examples of results

■Purpose - Reduction of inquiries (improvement of self-resolution rate) - Foundation for AI chat implementation (suppression of incorrect answers) - Standardization of technical questions (elimination of dependency on individuals) - Strengthening of CV pathways (FAQ → estimates/document downloads/consultations) - Unification of quality for multilingual FAQs (optional) ■Examples of Achievements - Many repeated questions → Reduction of first responses through FAQ structuring - High number of incorrect answers in AI chat → Improvement of accuracy through adjustment of FAQ granularity - FAQs exist but do not lead to CV → Advancement of business negotiations through CTA branching ■Approach 1. Collection: Review existing FAQs, inquiry logs, and site structure 2. Design: Confirm categories and granularity (one question, one point) 3. Rewrite: Structure according to the format (including standardization of notation) 4. Pathway: Design related links and CTA branching 5. Publication: Set measurement (FAQ views → CV) 6. Improvement: Add missing FAQs monthly to enhance accuracy

catalog(20)

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1. Introduction of FAQ × AI Chat

1. Introduction of FAQ × AI Chat

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2. Introduction of AI chat linked to the product database

2. Introduction of AI chat linked to the product database

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3. Introduction of AI for Pre-Estimate Hearing

3. Introduction of AI for Pre-Estimate Hearing

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4. Introduction of multilingual AI chat.

4. Introduction of multilingual AI chat.

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5. Construction of a Technical Data Search AI Portal

5. Construction of a Technical Data Search AI Portal

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6. Veteran Inheritance System

6. Veteran Inheritance System

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7. Building an In-house Knowledge AI (RAG)

7. Building an In-house Knowledge AI (RAG)

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8. Inquiry Automatic Classification AI Design

8. Inquiry Automatic Classification AI Design

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9. Lead Evaluation AI (Temperature Estimation) Design

9. Lead Evaluation AI (Temperature Estimation) Design

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10. Sales Talk Generation AI Design

10. Sales Talk Generation AI Design

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11. Proposal Draft Generation AI Design

11. Proposal Draft Generation AI Design

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12. Specification Summary AI (Internal) Design

12. Specification Summary AI (Internal) Design

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13. Drawing/Image Description AI (Assistance) Design

13. Drawing/Image Description AI (Assistance) Design

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14. AI-Compatible FAQ Structured Design

14. AI-Compatible FAQ Structured Design

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15. AI Response Guardrail Design

15. AI Response Guardrail Design

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16. AI Chat Log Analysis Design

16. AI Chat Log Analysis Design

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17. Establishing rules for AI content creation

17. Establishing rules for AI content creation

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18. AI Implementation PoC Design (Web)

18. AI Implementation PoC Design (Web)

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19. AI × Inquiry Flow Design

19. AI × Inquiry Flow Design

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21. Formulation of AI Utilization Policy

21. Formulation of AI Utilization Policy

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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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