Managing Keywords - Brand variations and keyword management

Written By Ashish Mishra

Last updated 10 months ago

You can add variation of keywords like

‘Compare best customer support software solutions’

‘Top 10 customer support software in {{location}}’

‘Ways to support customer interactions"‘

Mention Detection

Continuous Scanning: 24/7 monitoring across all platforms

  • Natural Language Processing: Advanced NLP to understand context

  • Entity Recognition: Precise brand identification in conversations

  • Confidence Scoring: Quality assessment of each mention

Detection Methods

Direct Mentions: 
"I recommend [Brand Name] for this use case" 

Indirect References: 
"The software from [Company] works well" 

Competitive Comparisons: 
"[Brand A] vs [Brand B] - here's my analysis" 

Contextual Mentions: 
"For CRM solutions, consider [Brand Name]"

Quality Filters

  • Relevance Scoring: Filters out tangential mentions

  • Context Analysis: Ensures mentions are meaningful

  • Spam Detection: Removes artificial or manipulated content

  • Duplicate Removal: Prevents counting same mention multiple times

3. Data Collection & Analysis

Mention Metadata

Each mention captures:

Core Data: 
- Timestamp of mention 
- AI platform source 
- Full conversation context 
- User query that triggered mention 
- AI response containing brand 

Analysis Data: 
- Sentiment score (0-100%) 
- Confidence level (0-100%) 
- Relevance score (0-100%) 
- Competitive context 
- Geographic indicators (when available) 

Performance Data: 
- Response ranking position 
- Mention prominence in response 
- Associated recommendations 
- User follow-up questions

Advanced Analytics

  • Trend Analysis: Historical patterns and forecasting

  • Sentiment Evolution: How perception changes over time

  • Competitive Intelligence: Share of voice vs competitors

  • Topic Clustering: Common themes in brand mentions

  • Platform Performance: Effectiveness across different AI systems