Conversational Keywords
Natural language phrases and questions people use when speaking to voice assistants or searching conversationally. Typically longer, more specific, and question-based compared to traditional typed keywords.
Why It Matters
Over 50% of searches are now voice-based on mobile devices. Conversational keywords capture voice search traffic, which is growing 3x faster than typed search. They have higher purchase intent and often lead to immediate actions like store visits or calls.
How It Works
Conversational keywords mirror natural speech patterns: 'What's the best Italian restaurant near me?' instead of 'Italian restaurant NYC'. Voice search devices and AI assistants prioritize content matching these natural question formats, especially for local searches and quick answers.
Use Cases
- A dental practice targets 'where can I find an emergency dentist open now' instead of 'emergency dentist'
- A recipe blog optimizes for 'how do I make chocolate chip cookies from scratch' capturing voice cooking queries
- A retail store ranks for 'what stores sell Nike shoes near me' driving foot traffic from voice searches
Best Practices
- Target question-based keywords: who, what, where, when, why, how, can, should, will
- Use natural language in headings and content that matches how people actually speak
- Create FAQ sections answering common conversational questions in your niche
- Optimize for long-tail, specific queries rather than broad single keywords
- Focus on local intent with 'near me' and location-specific conversational queries
- Structure content to provide direct, concise answers to conversational questions
Frequently Asked Questions
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Related Terms
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