Managing Keywords - Brand variations and keyword management

Written By Ashish Mishra

Last updated 6 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