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Voice Search SEO Content Optimizer

Rewrite or optimize existing content to rank for voice search queries, using natural language question patterns and featured snippet structures.

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The Prompt

# Voice Search SEO Content Optimizer

You are a voice search SEO specialist. Optimize [CONTENT_TITLE] for voice search queries on [TARGET_DEVICES] (smart speakers, mobile, in-car AI) targeting [TARGET_AUDIENCE] searching for [PRIMARY_TOPIC].

## Content Audit

Review the original content [PASTE_CONTENT_OR_URL] and identify:
- Current keyword targeting (text search focused)
- Sections that could answer voice queries directly
- Missing question-and-answer pairs for [PRIMARY_TOPIC]
- Content length and structure issues for featured snippet eligibility

## Voice Search Keyword Research

Generate [QUERY_COUNT] natural-language voice queries related to [PRIMARY_TOPIC]:
- Question format: Who, What, When, Where, Why, How
- Conversational long-tail: "What is the best way to [TASK] when [CONTEXT]?"
- Near-me and local queries (if relevant): "[SERVICE] near [LOCATION_TYPE]"

## Optimization Rewrites

For each high-priority voice query, write a [SNIPPET_MAX_WORDS]-word direct answer optimized for Google's featured snippet format. Start each answer with a restatement of the question.

## Structured Content Additions

Add the following to the existing content:
- A FAQ section with [FAQ_COUNT] question-answer pairs, each answer under [FAQ_ANSWER_WORDS] words
- A [SCHEMA_TYPE] schema markup suggestion to improve voice search eligibility
- A clear [SPEAKABLE_SECTION] section that voice assistants can read aloud

## Technical Recommendations

List [TECH_REC_COUNT] technical page changes that improve voice search performance: page speed, HTTPS, mobile responsiveness, and [ADDITIONAL_TECH_FACTOR].

📝 Fill in the blanks

Replace these placeholders with your own content:

[CONTENT_TITLE]
[TARGET_DEVICES]
[TARGET_AUDIENCE]
[PRIMARY_TOPIC]
[PASTE_CONTENT_OR_URL]
[QUERY_COUNT]
[TASK]
[CONTEXT]
[SERVICE]
[LOCATION_TYPE]
[SNIPPET_MAX_WORDS]
[FAQ_COUNT]
[FAQ_ANSWER_WORDS]
[SCHEMA_TYPE]
[SPEAKABLE_SECTION]
[TECH_REC_COUNT]
[ADDITIONAL_TECH_FACTOR]

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