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Initial release: Rypl documentation
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README.md

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---
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layout: default
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title: Rypl Documentation
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description: Official documentation for Rypl — the AI-powered Facebook ad comment management platform that turns ad comments into sales automatically.
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---
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# Rypl Documentation
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Welcome to the official documentation for **[Rypl](https://www.rypl.is)** — the AI-powered platform that manages your Facebook ad comments automatically. Rypl detects spam, replies to real customers, and converts conversations into sales, all without lifting a finger. **[Sign up for a free 7-day trial](https://app.rypl.is/signup)** and see results in your first 24 hours.
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---
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## Quick Start
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Getting started with Rypl takes just a few minutes:
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1. **[Create your account](getting-started/sign-up.md)** — Start your 7-day free trial, no credit card hassles.
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2. **[Connect your Facebook Page](getting-started/connect-facebook.md)** — Securely link your pages via Meta's Official Graph API.
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3. **[Create an AI agent](getting-started/create-ai-agent.md)** — Set your brand voice, upload your knowledge base, define moderation rules.
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4. **[Go live](getting-started/go-live.md)** — Activate your agent and start converting comments into customers.
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---
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## Documentation Sections
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### [Getting Started](getting-started/)
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Everything you need to go from signup to your first AI-managed comment. Covers account creation, Facebook connection, agent setup, and activation.
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### [Configuration](configuration/)
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Deep-dive into every configuration option available in Rypl. Learn how to fine-tune your brand voice, build a comprehensive knowledge base, configure intent detection, set moderation rules, and manage multiple accounts.
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### [Best Practices](best-practices/)
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Proven strategies to get the most out of Rypl. Includes moderation playbooks, reply optimization techniques, and our step-by-step guide to improving ROAS by 10% or more.
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### [Use Cases](use-cases/)
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See how different business types use Rypl. Detailed guides for e-commerce stores, marketing agencies managing multiple clients, and B2B service providers.
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### [Reference](reference/)
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Technical reference documentation including detailed pricing plan comparisons, the complete FAQ, all supported intent types, and AI model specifications per plan.
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### [Troubleshooting](troubleshooting/)
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Solutions to common issues with Facebook connections, agents not replying, and billing questions.
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### [Changelog](changelog.md)
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Release notes and version history.
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---
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## Key Platform Metrics
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| Metric | Value |
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|--------|-------|
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| Average moderation speed | ~1.7 seconds |
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| AI reply time | Under 60 seconds |
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| ROAS improvement (first month) | +10% |
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| Conversations converted to sales | 28% more |
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| Availability | 24/7 automated |
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| Language support | All languages |
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---
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## Resources
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- **Website:** [www.rypl.is](https://www.rypl.is)
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- **Application:** [app.rypl.is](https://app.rypl.is)
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- **Blog:** [blog.rypl.is](https://blog.rypl.is)
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- **Contact:** [hey@rypl.is](mailto:hey@rypl.is)
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---
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Need help? Browse the sections above or [contact our team](mailto:hey@rypl.is) directly.

_config.yml

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title: Rypl Documentation
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description: Official documentation for Rypl — AI-powered Facebook ad comment management platform
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url: https://rypl-ai.github.io
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title: Auto-Reply Optimization — Rypl Documentation
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description: How to optimize your Rypl AI auto-replies for higher engagement, accuracy, and conversion through knowledge base and brand voice refinement.
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---
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# Auto-Reply Optimization
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Your AI agent's replies are the primary way Rypl drives sales. Every reply is an opportunity to convert a commenter into a customer. This guide covers techniques for making every response count.
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---
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## The Reply Quality Framework
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Great AI replies share four qualities:
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1. **Accurate** — Information is correct (prices, specs, policies)
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2. **Relevant** — The reply addresses the specific question or comment
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3. **On-brand** — Tone and style match your brand identity
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4. **Action-oriented** — The reply guides the commenter toward a next step (purchase, DM, website visit)
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If any of these qualities are missing, there is room for improvement.
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---
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## Knowledge Base Optimization
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The single biggest factor in reply quality is the information available to your AI agent. Here is how to optimize your knowledge base:
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### Prioritize High-Impact Information
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Focus on information that directly impacts sales:
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1. **Product pricing** — The most common question on Facebook ads. Make sure your knowledge base has up-to-date prices for every product you advertise.
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2. **Shipping details** — Costs, delivery times, international availability. These are purchase blockers.
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3. **Return policy** — Buyers hesitate when they are unsure about returns. Clear return information reduces friction.
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4. **Size and compatibility** — "Does this fit?", "Is this compatible with...?" are purchase-intent signals.
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5. **Current promotions** — Active discount codes, bundle deals, limited-time offers.
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### Structure for Clarity
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The AI performs better with well-structured information:
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**Good knowledge base entry:**
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```
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Product: Classic Running Shoes
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Price: $89.99
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Sale Price: $69.99 (code RUN20)
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Sizes: 6-13 (US Men's), 7-14 (US Women's)
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Colors: Black, White, Navy Blue, Red
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Shipping: Free over $50, otherwise $5.99
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Delivery: 3-5 business days (US), 7-14 business days (international)
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Returns: 30-day free returns, unworn condition
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```
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**Weak knowledge base entry:**
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```
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We sell shoes. They cost around $70-90. We ship everywhere.
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```
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### Fill Knowledge Gaps
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Monitor your dashboard for questions the AI could not answer well:
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1. Review replies where the AI gave generic responses
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2. Identify the missing information
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3. Add it to your knowledge base
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4. The next time a similar question comes in, the reply will be specific and helpful
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Common gaps to watch for:
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- Questions about product variants not in the catalog
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- Policy questions not documented in the knowledge base
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- Competitor comparison questions
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- Technical specifications
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---
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## Brand Voice Refinement
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### Iterative Improvement
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Brand voice optimization is an ongoing process:
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1. **Week 1:** Set initial brand voice with basic tone and 5-10 example replies
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2. **Week 2:** Review real AI replies, identify where the tone is off, add more specific guidelines
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3. **Week 3:** Add examples for edge cases (complaints, comparison questions, out-of-stock items)
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4. **Week 4:** Fine-tune based on engagement data — which reply styles get the most positive reactions?
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### Specificity Wins
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Replace vague instructions with specific ones:
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| Instead of... | Write this... |
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|---------------|---------------|
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| "Be friendly" | "Start replies with the commenter's first name. Use a warm greeting." |
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| "Be helpful" | "Always answer the specific question asked. Include a link to the product page." |
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| "Be professional" | "Use complete sentences. Avoid slang and excessive emojis. Maintain a knowledgeable tone." |
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| "Be concise" | "Keep replies under 3 sentences. One idea per sentence." |
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### Reply Templates for Common Scenarios
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Give your AI agent guidance for the most frequent comment types:
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- **Pricing questions** — Include the exact price, any active discounts, and a link to buy
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- **Availability questions** — Confirm availability, mention popular variants, create urgency if appropriate
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- **Shipping questions** — Provide delivery time and cost, mention free shipping thresholds
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- **Negative comments** — Acknowledge the concern, offer a solution, invite them to DMs
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- **Positive comments** — Thank them, encourage sharing, ask for a review
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---
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## Measuring Reply Quality
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### Key Metrics
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- **Reply engagement rate** — How often do commenters respond positively to AI replies?
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- **Click-through rate** — When replies include links, how often are they clicked?
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- **Escalation rate** — How often does a conversation need human intervention?
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- **Conversion rate** — What percentage of replied-to comments lead to a purchase?
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### Spot-Check Process
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Spend 10 minutes daily reviewing AI replies:
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1. Open your Rypl dashboard
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2. Sort replies by most recent
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3. Read 10-15 replies across different comment types
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4. Rate each reply: Excellent / Good / Needs improvement
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5. Note patterns in "Needs improvement" replies
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6. Update knowledge base or brand voice to address the patterns
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### A/B Testing Brand Voice
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If you manage multiple Pages or run similar campaigns, test different brand voice configurations:
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- Try a more casual voice on one Page and professional on another
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- Compare engagement rates and conversion metrics
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- Adopt the higher-performing voice across your accounts
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---
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## Advanced Techniques
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### Seasonal Updates
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Update your knowledge base for seasonal campaigns:
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- Holiday shipping deadlines
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- Seasonal product availability
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- Limited-time promotional offers
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- Gift-giving suggestions and bundles
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### Post Content Analysis (Pro and Ultra)
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Rypl's post content analysis reads your actual ad creative and copy, giving the AI additional context for replies. This means the agent can reference specific claims, images, or offers from the ad itself.
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### Conversational Memory (Ultra)
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On the Ultra plan, your agent maintains full conversational memory. This means it remembers previous interactions with the same commenter, creating a more personal and coherent experience.
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---
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## Next Steps
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Apply these optimization techniques alongside the [ROAS Improvement Playbook](roas-improvement.md) for maximum business impact.
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---
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[Back to Best Practices](index.md) | [Back to Documentation](../index.md) | [Visit Rypl](https://www.rypl.is)

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