101. FAQ × AI Chat Introduction
FAQs are about "eliciting answers" rather than "making people read." We will implement an AI chat that simultaneously addresses inquiries and generates leads, based on existing FAQs.
Even if a site has an FAQ, the reasons for not reducing inquiries or increasing business negotiations are due to "inability to find or read" the information. Users will leave if they cannot quickly reach the answers they need. Furthermore, in B2B, questions tend to be complex (usage × conditions × specifications × delivery time), and simply having a list of FAQs does not resolve these issues. In this service, we will organize existing FAQs (or FAQs that will be developed) into a structure that "AI can answer" and implement an AI chat on the site. This is not just an automated response; we will streamline the process from "answer → related page suggestion → document download/quotation/consultation," achieving both efficiency in handling inquiries and lead acquisition. ■ Service Offerings (3 points) 1. AI optimization of FAQs (structuring, adjusting granularity, adding missing FAQs) 2. Implementation of AI chat (site embedding, answer design, process integration) 3. Operational design (guard against incorrect answers, log improvement, update flow) *First, please tell us the "questions you want to resolve via chat" and the "final goal (quotation/consultation/download)." We will design it as quickly as possible.
basic information
■For such concerns - There are many inquiries, and the workload is strained due to responding to the same questions. - There are many technical questions that the sales team cannot handle as the first point of contact. - The pathways leading to document downloads and quote requests are weak. - We want to standardize first responses, including support for overseas users (in English). - We want to incorporate AI, but we are afraid of incorrect answers and potential backlash. ■Provided content (details) - 1) Design of FAQ × AI chat (to function as an entry point) - 2) AI optimization of FAQs (to structure them in a way that AI does not misunderstand) - 3) Lead acquisition pathways (connecting chat to conversions) - 4) Guardrail design (to prevent incorrect answers and incidents) - 5) Operational design (with the premise of nurturing) ■Deliverables - Organized FAQs (structured for AI) - Chat response design (flow by purpose, prohibited areas, tone) - Chat UI wording (opening statement, disclaimer, options, end CTA) - Pathway integration specifications (page links, form/document download branches) - Operational rules (updates, log monitoring, improvement cycles) - KPI design (measurement items, report templates)
Price information
■2 million yen to 9 million yen (varies based on FAQ volume, user flow/guardrail depth) - Light (FAQ maintenance + basic chat implementation): 2 to 3.5 million yen - Standard (user flow branching + guardrail + operational design): 3.5 to 6 million yen - Expansion (multilingual, multiple sites, CRM/MA integration assumed): 6 to 9 million yen *Estimation required
Delivery Time
Applications/Examples of results
■Purpose - Streamlining initial inquiry responses (reducing labor costs) - Organizing specifications and estimates as prerequisites (improving deal conversion rates) - Strengthening pathways for document downloads/estimates/consultations (increasing conversions) - Standardization including overseas support (English) (optional) - Foundation for GEO/AI responses (developing structured FAQs) ■Examples of Achievements - Technical inquiries in manufacturing → Improved self-resolution rates with FAQ × AI - Confirming conditions before estimates → Advancing deal conversion by collecting necessary information - Overseas inquiries → Standardized initial responses linked with English FAQs ■Approach 1. Current situation assessment: Organize FAQs/inquiry logs/targets/objectives 2. FAQ development: Structure FAQs in a way that AI can answer and add missing FAQs 3. Chat design: Confirm response range, guardrails, and pathway branches 4. Implementation: Embed into the site and set up measurement 5. Testing: Check for incorrect answers and pathways (validate with anticipated questions) 6. Operation: Monthly improvements (logs → FAQs → answer accuracy)
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