Setting Up Content Reservoirs
Complete guide to creating and configuring your first Content Reservoir for strategic content intelligence and automated generation.
Prerequisites
Before You Begin
- • Active BlackOps Center account with reservoir access
- • Defined content expertise area or niche
- • Sample content (articles, posts, documents) in your expertise area
- • Clear content goals and target audience identified
Step-by-Step Setup Process
Create Your Reservoir
Start by defining your expertise area and creating a new Content Reservoir.
Naming Best Practices
- • Use specific, descriptive names: "AI in Healthcare" vs "Technology"
- • Include target audience: "B2B SaaS Marketing for Startups"
- • Avoid overly broad topics: "Business" → "Remote Team Management"
- • Consider content volume: ensure enough source material exists
Configure Reservoir Settings
Set up generation parameters, voice preferences, and content targets.
Voice & Style
- • Tone: Professional, Casual, Technical
- • Formality level: 1-10 scale
- • Industry terminology preferences
- • Brand voice guidelines
Content Targets
- • Primary platforms (Twitter, LinkedIn, Blog)
- • Content formats (threads, articles, posts)
- • Publishing frequency goals
- • Audience engagement objectives
Add Source Content
Feed your reservoir with high-quality content to train the AI on your expertise and voice.
Direct Input
- • Paste blog posts
- • Add article links
- • Upload documents
- • Import presentations
Browser Extension
- • Save web articles
- • Capture Twitter threads
- • LinkedIn post collection
- • One-click adding
API Integration
- • RSS feed monitoring
- • Social media imports
- • CMS integrations
- • Automated collection
Quality Guidelines
Add 10-15 high-quality pieces initially. Focus on your best content that represents your expertise and desired voice. The AI learns faster from fewer, better examples.
AI Training & Analysis
Allow the AI to process your content and build your voice profile.
Training Process
Test Content Generation
Generate your first pieces of content to validate the AI training and voice accuracy.
Initial Testing
- • Generate 3-5 sample Twitter threads
- • Create a LinkedIn post draft
- • Test blog post outline generation
- • Review voice consistency
Quality Checklist
- • Tone matches your brand voice
- • Technical accuracy in your domain
- • Appropriate complexity level
- • Platform-specific formatting
Advanced Configuration
Voice Profile Settings
Content Preferences
Common Issues & Solutions
Generated content doesn't match my voice
The AI hasn't learned your voice patterns effectively from the source content.
Content is too generic or broad
The reservoir topic is too wide or lacks specific expertise context.
Training takes too long or fails
Content quality issues or technical limitations affecting AI processing.