The method
Use this prompt in your LLM by providing the target content and specifying the desired voice search optimization parameters. Analyze existing content and provide actionable steps, around 200 chars.
The prompts
Prompt 1
Analyze the following content from my headless CMS and provide recommendations for optimizing it for voice search. Consider factors such as natural language, conversational keywords, question-based queries, and snippet optimization. Content: [Paste your content here]. Output a revised content snippet and a list of actionable steps.
Prompt 2
I am using a headless CMS to manage content for a recipe website. Provide a list of frequently asked questions related to a specific recipe [Recipe Name], and then create short, concise answers optimized for voice assistants like Google Assistant and Alexa. Format the output as a FAQ with both question and answer.
Prompt 3
Review the following content intended for [Target Audience] delivered via a headless CMS. Rewrite it to be easily understood when read aloud by a voice assistant. Focus on clarity, conciseness, and a conversational tone. The content is about: [Topic of content]. Provide the original and your revised version for comparison highlighting key changes made for voice.
Prompt 4
As a subject matter expert for [Your Field] utilizing a headless CMS, how can I leverage structured data and schema markup to enhance the visibility of my content in voice search results? Provide specific examples of schema types and how to implement them within my headless CMS content models to improve voice search ranking and feature snippet eligibility.