Setting Up Brands for Monitoring
Written By Ashish Mishra
Last updated 7 months ago
This comprehensive guide walks you through creating and configuring brands in ThirdEye AI for optimal monitoring performance. Proper brand setup is the foundation of effective AI brand monitoring.
Understanding Brands in ThirdEye AI
What Constitutes a "Brand"
In ThirdEye AI, a brand can be:
Company Brand: Your main business identity
Product Brand: Specific products or services
Sub-Brand: Divisions, product lines, or subsidiaries
Personal Brand: Individual executives or thought leaders
Acquisition Brands: Companies you've acquired or partner with
Brand Hierarchy
Organization: Acme Inc.
βββ Company Brand: "Acme Software"
βββ Product Brands:
β βββ "Acme CRM"
β βββ "Acme Analytics"
β βββ "Acme Mobile"
βββ Sub-Brands:
β βββ "Acme Enterprise"
β βββ "Acme Startup"
βββ Personal Brand: "John Smith, CEO of Acme"
Creating Your First Brand
Access Brand Management
Navigate to "Brands" in the main menu
Click "Add New Brand" button
Choose "Quick Setup" for basic configuration or "Advanced Setup" for comprehensive options
Basic Brand Information
Brand Name
β
Good Examples:
- "Acme Software" (clear, specific)
- "DataFlow CRM" (product-specific)
- "GreenTech Solutions" (descriptive)
β Avoid:
- "Software" (too generic)
- "The Best CRM" (promotional language)
- "acme.com" (just domain names)
Brand Type Selection
Choose the most appropriate category:
Technology Company: Software, hardware, tech services
SaaS Platform: Cloud-based software solutions
Mobile App: Smartphone applications
E-commerce Brand: Online retail and marketplaces
Service Provider: Consulting, agencies, professional services
Product Brand: Physical products or consumer goods
Personal Brand: Individual professionals or influencers
Industry Classification
Select your primary industry for better context analysis:
Technology Industries:
- Software/SaaS
- Cybersecurity
- AI/Machine Learning
- Data Analytics
- Cloud Services
Business Services:
- Marketing/Advertising
- Consulting
- Financial Services
- Legal Services
- HR/Recruiting
Consumer Industries:
- E-commerce/Retail
- Healthcare
- Education
- Real Estate
- Travel/Hospitality
Brand Description
Write a clear, concise description that helps our AI understand your brand:
Effective Description Framework
[Brand Name] is a [solution type] that helps [target audience] [achieve specific outcome] through [key capabilities/features].
Example:
"Acme CRM is a cloud-based customer relationship management platform that helps small to medium businesses increase sales efficiency and customer retention through automated sales workflows, contact management, and integrated email marketing."
Key Elements to Include
What you do: Core product or service
Who you serve: Target audience or market segment
Value proposition: Primary benefits or outcomes
Key differentiators: What makes you unique
Industry context: Business model and market position
Advanced Brand Configuration
Brand Variations and Aliases
Essential Variations
Include all ways your brand might be referenced:
Primary Name: "Acme Software Inc."
Short Names:
- "Acme"
- "Acme Software"
- "AcmeSoft"
Acronyms and Abbreviations:
- "ASI" (Acme Software Inc.)
- "ACME"
Product Names:
- "Acme CRM"
- "Acme Suite"
- "Acme Platform"
Domain Variations:
- "acmesoftware.com"
- "acme.com"
- "getacme.com"
Common Misspellings
Add frequent misspellings users might make:
- "Acme Sofware" (missing 't')
- "ACME Software"
- "Acmy Software"
- "Acme CRM Software"
Historical Names
Include previous brand names if you've rebranded:
- "AcmeTech" (2018-2020)
- "Acme Solutions" (original name)
- "TechFlow" (acquired company, 2019)
International Variations
For global brands, include localized names:
- "Acme Software EMEA"
- "Acme Asia Pacific"
- "Software Acme" (Spanish markets)
- "Logiciel Acme" (French markets)
Keyword Configuration
Primary Keywords
Core business terms that define your market:
For CRM Software:
Primary:
- CRM
- Customer Relationship Management
- Sales Software
- Customer Management
- Contact Management
Secondary:
- Sales Automation
- Customer Database
- Lead Management
- Sales Pipeline
- Customer Tracking
Use Case Keywords
How customers describe their needs:
Problem-Based Keywords:
- "manage customer relationships"
- "track sales leads"
- "organize customer data"
- "improve sales process"
Solution-Based Keywords:
- "CRM system"
- "sales platform"
- "customer management tool"
- "contact database software"
Feature-Specific Keywords
Capabilities users search for:
Technical Features:
- API integration
- Mobile CRM app
- Email sync
- Custom fields
- Reporting dashboard
- Data import/export
Business Features:
- Sales forecasting
- Lead scoring
- Pipeline management
- Customer segmentation
- Email marketing integration
- Team collaboration
Long-Tail Keywords
Specific phrases indicating buying intent:
- "best CRM for small business"
- "affordable sales management software"
- "CRM with email marketing"
- "simple customer management"
- "CRM for real estate agents"
- "sales software for startups"
Geographic and Demographic Targeting
Geographic Scope
Define where you want to monitor mentions:
Global Monitoring:
β
All countries and languages
β
Maximum market coverage
β
International competitive intelligence
Regional Monitoring:
β
Specific markets (e.g., North America, EMEA)
β
Cost optimization for regional brands
β
Focused competitive analysis
Local Monitoring:
β
Single country or metro area
β
Local business optimization
β
Regional competitor tracking
Language Configuration
Primary Languages:
- English (US/UK/Global)
- Spanish (LATAM/Spain)
- French (France/Canada)
- German (DACH region)
Secondary Languages:
- Portuguese (Brazil)
- Italian (Italy)
- Japanese (Japan)
- Korean (South Korea)
- Chinese Simplified (China)
Target Demographics
Help AI understand your audience:
Business Demographics:
- Company size (SMB, Mid-market, Enterprise)
- Industry verticals
- Geographic markets
- Technology adoption level
User Demographics:
- Job roles and titles
- Experience levels
- Usage scenarios
- Decision-making authority
Monitoring Configuration
AI Platform Selection
Platform Strategy Matrix
Choose platforms based on your audience and goals:
All Platforms (Recommended):
β
Maximum coverage and insights
β
Complete competitive landscape
β
Cross-platform trend analysis
Cost: Higher | Coverage: Complete
Selective Platforms:
β
Budget optimization
β
Audience-specific targeting
β
Technical limitations
Cost: Lower | Coverage: Focused
Platform-Specific Considerations
ChatGPT (OpenAI):
Best for: General business queries, consumer recommendations
Audience: Broad user base, mixed business/consumer
Priority: High (largest user base)
Claude (Anthropic):
Best for: Business analysis, professional use cases
Audience: Business professionals, developers
Priority: High (growing rapidly in B2B)
Gemini (Google):
Best for: Search-related queries, Google ecosystem users
Audience: Google Workspace users, Android users
Priority: Medium-High (integrated with Google services)
GPT-4 Turbo:
Best for: Complex analysis, premium user queries
Audience: Power users, technical professionals
Priority: Medium (smaller but high-value audience)
Perplexity:
Best for: Research queries, fact-based questions
Audience: Researchers, analysts, journalists
Priority: Medium (quality over quantity)
Monitoring Frequency
Frequency Options and Use Cases
Real-Time Monitoring:
β
Crisis management
β
Product launches
β
Breaking news response
β
High-volume brands
Cost: Premium | Response Time: Immediate
Hourly Monitoring:
β
Active brand management
β
Competitive intelligence
β
Regular business operations
β
Most common choice
Cost: Standard | Response Time: 1 hour
Daily Monitoring:
β
Trend tracking
β
Budget-conscious monitoring
β
Stable brand management
β
Basic brand awareness
Cost: Basic | Response Time: 24 hours
Weekly Monitoring:
β
Minimal monitoring needs
β
Very limited budgets
β
Passive brand tracking
Cost: Minimal | Response Time: 7 days
Choosing the Right Frequency
Consider these factors:
Industry Velocity: How fast does news travel in your market?
Competitive Dynamics: How active is competitive activity?
Crisis Risk: How sensitive is your brand to reputation issues?
Resource Availability: Can your team respond to frequent alerts?
Budget Constraints: What monitoring costs can you afford?
Data Collection Settings
Quality Filters
Configure mention quality thresholds:
Confidence Threshold: 75%+
β
High-quality mentions only
β
Reduces false positives
β
Focuses on reliable data
Relevance Scoring: Medium+
β
Filters tangential mentions
β
Focuses on business-relevant content
β
Improves signal-to-noise ratio
Context Requirement: Enabled
β
Captures full conversation context
β
Better sentiment analysis
β
Richer competitive intelligence
Data Retention
Choose how long to keep historical data:
Standard Retention (2 years):
β
Sufficient for trend analysis
β
Cost-effective for most brands
β
Regulatory compliance for most industries
Extended Retention (5 years):
β
Long-term trend analysis
β
Historical brand studies
β
Compliance-heavy industries
β
Enterprise strategic planning
Minimal Retention (6 months):
β
Cost optimization
β
Real-time focus only
β
Limited storage requirements
Multiple Brand Management
Brand Portfolio Strategy
When to Create Multiple Brands
Separate Brands for:
β
Distinct product lines with different audiences
β
Acquired companies maintaining separate identity
β
Different geographic markets with local branding
β
B2B vs B2C offerings under same company
β
Parent company vs subsidiary brands
Single Brand for:
β
Product variations under same brand umbrella
β
Different pricing tiers of same product
β
Minor feature differences
β
Same target audience and positioning
Brand Relationship Configuration
Parent-Child Relationships:
- Acme Inc. (Parent)
βββ Acme Software (Child)
βββ Acme Analytics (Child)
βββ Acme Mobile (Child)
Competitive Relationships:
- Direct competitors
- Indirect competitors
- Market alternatives
Partnership Relationships:
- Technology partners
- Channel partners
- Strategic alliances
Cross-Brand Analytics
Consolidated Reporting
Combined mention volumes across all brands
Portfolio-level sentiment analysis
Cross-brand competitive analysis
Unified share of voice calculations
Brand Comparison
Performance benchmarking between your brands
Resource allocation optimization
Market opportunity identification
Portfolio strategy development
Brand Optimization
Performance Monitoring
Key Performance Indicators (KPIs)
Mention Volume KPIs:
- Total mentions per period
- Mention growth rate
- Platform distribution
- Geographic distribution
Quality KPIs:
- Average sentiment score
- Mention relevance rate
- Context richness score
- Accuracy of brand information
Competitive KPIs:
- Share of voice percentage
- Competitive mention ratio
- Head-to-head comparison wins
- Market position tracking
Optimization Strategies
Low Mention Volume:
β
Expand keyword coverage
β
Create more targeted content
β
Increase custom prompt frequency
β
Improve SEO/AEO optimization
Poor Sentiment:
β
Address product/service issues
β
Improve customer support
β
Create positive content campaigns
β
Monitor and respond to concerns
Low Share of Voice:
β
Analyze competitor strategies
β
Increase content marketing
β
Improve brand positioning
β
Enhance thought leadership
Continuous Improvement
Regular Review Schedule
Weekly Reviews (30 minutes):
β
Check key performance metrics
β
Review new mentions for insights
β
Adjust keywords based on performance
β
Monitor competitor activity
Monthly Reviews (2 hours):
β
Comprehensive performance analysis
β
Keyword optimization and expansion
β
Competitive strategy assessment
β
Alert threshold adjustments
Quarterly Reviews (Half day):
β
Strategic brand positioning review
β
Market trend analysis
β
Competitive landscape evolution
β
Brand portfolio optimization
Optimization Best Practices
Data-Driven Decisions: Base changes on performance metrics
Incremental Testing: Make small changes and measure impact
Competitive Awareness: Monitor how changes affect competitive position
Stakeholder Alignment: Keep team informed of optimization strategies
Documentation: Track what changes were made and why
Common Setup Challenges
Challenge 1: Overly Broad Keywords
Problem: Too many irrelevant mentions creating noise Solution:
Add negative keywords to filter out irrelevant contexts
Make keywords more specific to your business
Use phrase matching instead of broad matching
Regular review and refinement
Challenge 2: Missing Mention Opportunities
Problem: Not capturing all relevant brand references Solution:
Expand brand variation list based on actual mention patterns
Add industry-specific terminology
Include customer language and terminology
Monitor competitor mention patterns for inspiration
Challenge 3: Inconsistent Data Quality
Problem: Mentions vary greatly in relevance and accuracy Solution:
Increase confidence thresholds
Implement better negative keyword filters
Regular manual review of mention samples
Adjust AI training based on feedback
Challenge 4: Poor Competitive Intelligence
Problem: Not getting useful competitive insights Solution:
Ensure competitor list includes all relevant players
Add indirect and aspirational competitors
Track competitive keywords and positioning
Regular competitive landscape reviews
Advanced Features
API Integration
Brand Management API:
- Programmatic brand creation
- Bulk keyword updates
- Automated configuration changes
- Integration with existing systems
Automation Features
Smart Keyword Suggestions:
- AI-powered keyword recommendations
- Trending term identification
- Competitive keyword discovery
- Performance-based optimization
Auto-Optimization:
- Automatic threshold adjustments
- Smart alert tuning
- Performance-based recommendations
- Trend-based strategy suggestions
Enterprise Features
Advanced Brand Hierarchies:
- Complex organizational structures
- Multi-level brand relationships
- Inherited configuration settings
- Centralized management controls
White-Label Capabilities:
- Agency brand management
- Client-specific dashboards
- Branded reporting
- Custom domain support
Next Steps:
Setup time: 15-30 minutes per brand | Configuration complexity: Medium | Optimization: Ongoing