The best support experience is the one customers solve themselves — instantly. These prompts help you build FAQ systems, design chatbot flows, and create self-service resources that handle 80% of questions without a human. Tested across ChatGPT, Gemini, and Claude so you know which model builds the smartest support automation.
| What you're trying to do | הכי טוב ל |
|---|---|
| Build comprehensive FAQ pages | ChatGPT |
| Design customer support chatbot flows | Gemini |
| Design self-service help centers | Gemini |
| Create reusable support responses | ChatGPT |
| Auto-categorize and route support tickets | Gemini |
| Design customer self-service experiences | Claude |
פרומפטים
Build comprehensive FAQ pages
Build a comprehensive FAQ section for [product/service/website]. What we do: [describe your offering] Target audience: [who uses your product] Common support tickets: [top 10 questions you receive] Existing FAQ: [paste current FAQ, or 'none'] Tone: [professional / friendly / casual] Create: 1. 20 FAQs organized into 4-5 logical categories 2. Each answer: clear, concise (under 100 words), with a specific action step 3. 5 'hidden' questions customers think but don't ask (and answer those too) 4. Internal links: which FAQ answers should link to other pages 5. A 'still need help?' CTA strategy for each category 6. SEO-optimized question phrasing that matches how people actually search
הכי טוב ל: CHATGPT
ChatGPT writes the most natural FAQ answers that sound like a helpful human, not a legal document. Its question phrasing matches how real customers search, improving both UX and SEO.
Tested Feb 15, 2026
טיפים מקצועיים
Sort your support tickets by volume and answer the top 20% of questions in your FAQ. Those 20% typically represent 80% of ticket volume. AI can write great answers, but only if you feed it the right questions.
Design customer support chatbot flows
Design a chatbot flow for [purpose: customer support / lead qualification / order status / FAQ]. Platform: [website / app / WhatsApp / Facebook Messenger] Top 5 customer intents: [what people ask most] Escalation needed for: [when should a human take over] Brand personality: [how the bot should 'sound'] Integrations available: [CRM, order system, knowledge base] Build the chatbot: 1. A greeting message that sets expectations (what the bot can and can't do) 2. Intent recognition: 5-7 main conversation branches 3. Full conversation flow for each branch (with decision trees) 4. Fallback responses: what to say when the bot doesn't understand 5. Human handoff triggers and transition messages 6. A personality guide: do's and don'ts for the bot's communication style
הכי טוב ל: GEMINI
Gemini designs the most logical chatbot flows with clear decision trees and edge case handling. Its conversation branches cover scenarios that other models overlook, reducing frustrating dead ends for users.
Tested Feb 15, 2026
טיפים מקצועיים
The most important chatbot message is the one that says 'I don't understand, let me connect you with a person.' A bot that admits confusion gracefully is better than one that loops customers through irrelevant answers.
Design self-service help centers
Help me build a customer-facing knowledge base for [product/service]. Current documentation: [what exists now, or nothing] Top support categories: [main topic areas] User technical level: [beginner / intermediate / advanced / mixed] Format preferences: [text, screenshots, video, GIFs] Platform: [Zendesk, Intercom, Notion, custom] Design the knowledge base: 1. Information architecture: categories, subcategories, and article hierarchy 2. 10 must-have articles (titles and outlines for each) 3. Article template: standard format every article should follow 4. Search optimization: how to title and tag articles for findability 5. A feedback mechanism: how to know which articles are actually helpful 6. A maintenance schedule: how often to review and update content
הכי טוב ל: GEMINI
Gemini creates the most logical information architectures with intuitive categorization. Its knowledge base structures are immediately implementable in tools like Zendesk or Intercom without restructuring.
Tested Feb 15, 2026
טיפים מקצועיים
Write article titles as questions, not topics. 'How do I reset my password?' gets found. 'Password Management' doesn't. Customers search with questions — your titles should match their exact words.
Create reusable support responses
Build a library of canned responses for our support team. Product/service: [what you support] Channels: [email, chat, social, phone] Team size: [number of agents] Common scenarios: [list 10-15 frequent situations] Brand voice: [professional / casual / empathetic] For each scenario, create: 1. A canned response with [customization brackets] for personalization 2. A shorter version for chat (under 50 words) 3. A longer version for email (100-150 words) 4. Agent instructions: when to use this and when NOT to 5. Personalization tips: what details to add before sending 6. A naming convention so agents can find responses quickly
הכי טוב ל: CHATGPT
ChatGPT produces the most versatile canned responses that agents can adapt quickly. Its templates balance efficiency with personalization, avoiding the robotic feel that makes customers feel like a ticket number.
Tested Feb 15, 2026
טיפים מקצועיים
Require agents to change at least one sentence in every canned response before sending. This forces personalization and prevents the awkward situation where a customer gets the exact same response twice.
Auto-categorize and route support tickets
Help me build a ticket triage system for our support team. Ticket volume: [daily/weekly count] Team structure: [agents, specialists, tiers] Categories: [list current categories, or 'need to define'] Priority levels: [how you currently prioritize, or 'need a system'] SLA requirements: [response and resolution time targets] Design a triage system: 1. Category taxonomy: 6-10 categories with clear definitions 2. Priority matrix: how to assign P1/P2/P3/P4 based on impact and urgency 3. Routing rules: which tickets go to which team/specialist 4. Auto-tagging keywords: patterns that indicate category and priority 5. First-response templates for each priority level 6. A dashboard view: what metrics to track for triage effectiveness
הכי טוב ל: GEMINI
Gemini builds the most systematic triage frameworks with clear routing logic. Its priority matrices and keyword patterns are detailed enough to configure directly in ticketing systems like Zendesk or Freshdesk.
Tested Feb 15, 2026
טיפים מקצועיים
Review your triage categories quarterly. Customer issues evolve as your product changes. Categories that made sense 6 months ago might be splitting tickets that now belong together, or missing entirely new issue types.
Design customer self-service experiences
Help me design a self-service support experience for [product/service]. Current self-service: [what exists now] Top tasks customers need help with: [list 5-10 common tasks] Customer tech savviness: [beginner / intermediate / advanced] Support cost per ticket: [if known] Goal: [reduce ticket volume by X% / improve satisfaction] Design the self-service experience: 1. A self-service homepage layout with smart search and popular topics 2. Interactive troubleshooting wizards for the top 3 issues 3. A decision tree: self-service vs. contact support (when each is appropriate) 4. Video tutorial outlines for visual learners (5 most common tasks) 5. A community forum structure where customers help each other 6. Metrics to measure self-service success: deflection rate, satisfaction, and completion rate
הכי טוב ל: CLAUDE
Claude designs self-service experiences that genuinely respect the customer's time. It builds intuitive troubleshooting flows and knows when to stop self-service and route to a human — avoiding the frustrating loop trap.
Tested Feb 15, 2026
טיפים מקצועיים
Track your self-service 'exit rate' — how many customers start a self-service flow but end up submitting a ticket anyway. High exit rates mean your self-service content is being found but not solving the problem.
Based on actual testing — not assumptions. See our methodology
Gemini
Best for chatbot design, knowledge base architecture, and ticket triage systems. Creates logical, structured automation frameworks. Less effective at writing warm, conversational support copy.
Results from Gemini 2.0 Flash · Tested Feb 15, 2026ChatGPT
Best for FAQ pages and canned response libraries. Writes the most natural support content that doesn't feel automated. Can over-generate — ask it to prioritize the 20% of content that solves 80% of issues.
Results from GPT-4o · Tested Feb 15, 2026Claude
Best for self-service design and troubleshooting flows. Builds empathetic automation that knows its limits and routes to humans at the right moment. Sometimes overcomplicates simple FAQ structures.
Results from Claude 3.5 Sonnet · Tested Feb 15, 2026Grok
Best at designing chatbot personalities that feel engaging and human rather than robotic. Creates witty, on-brand automated responses that customers actually enjoy interacting with. Less focused on enterprise-level support integration architectures and complex ticket routing systems.
Results from Grok 2 · Tested Feb 15, 2026Automate the answer, not the empathy. Bots can deliver information instantly, but they can't make someone feel heard. Use automation for factual responses (order status, pricing, how-to) and humans for emotional situations (complaints, refunds, apologies).
Measure deflection rate, not just ticket volume. If your chatbot 'resolves' a question but the customer immediately opens a ticket, that's not automation — it's delay. Track whether customers who use self-service actually stop needing help.
Update your FAQ before you update your product. The day a new feature launches is the day support tickets spike. Write and publish help content before the release, not after. AI can draft the articles from your product specs before launch day.