With the rise of smartphones, smart speakers, and in-car assistants, voice search has become a cornerstone of local SEO. Over 50% of local searches now come from mobile users speaking queries like:
- “Where’s the best Thai restaurant near me?”
- “What time does the closest urgent care open?”
- “Who does same-day AC repair in Atlanta?”
Voice search queries are longer, more conversational, and intent-driven—which makes them harder to capture with traditional SEO tools.
That’s why you need AI.
In this guide, we’ll show you how to use DIYSEO GPT to surface voice-style keywords, generate optimized answers with DIYSEO AI Writer, and improve trust and authority using DIYSEO Link Marketplace. You’ll be able to rank not just in organic results, but also in Google’s featured snippets, Map Packs, and voice assistant answers.
Why Voice Search Matters for Local SEO
Voice search is changing how users interact with search engines—especially on mobile. Unlike traditional searches, voice queries are:
- Conversational: “What’s the best place to get sushi nearby?”
- Location-sensitive: “Is there a nail salon open now in South Tampa?”
- Action-oriented: “Call a plumber near me that’s open 24/7.”
This means search intent is immediate and clear—and local businesses that optimize for voice queries win more phone calls, foot traffic, and bookings.
What Makes a Keyword Voice Search-Friendly?
Voice keywords tend to include:
✅ Natural language phrases
✅ Location modifiers like “near me,” “in [neighborhood],” or zip code
✅ Action verbs such as “find,” “call,” “get,” “book,” “order,” or “open now”
✅ Question formats (“who,” “what,” “where,” “when,” “how”)
✅ Device-specific phrasing (e.g., “Hey Siri, find…”)
Step-by-Step: How to Use AI to Find Voice Search Keywords for Local SEO
✅ Step 1: Use DIYSEO GPT to Identify Voice Query Patterns from Real Data
Start by connecting your site’s Google Search Console account to DIYSEO GPT. This gives the AI access to:
- Queries that already trigger impressions or clicks
- Voice-style queries that you’re ranking for without targeting
- Missed “near me” or question-based searches
Prompt:
“Show me voice-style keywords related to ‘emergency dentist Chicago’ with location intent and question-based phrasing.”
Example Output:
| Keyword | Type | Volume | Voice Suitability | Suggested Page |
|---|---|---|---|---|
| best emergency dentist open now in Chicago | Navigational | 1,100 | High | Local Service Page |
| where to get tooth pulled same day near me | Question | 950 | Very High | FAQ/Landing Page |
| emergency toothache help in Lincoln Park | Action | 560 | High | Location Page |
| call emergency dental clinic 60614 | Command | 310 | High | CTA-Enhanced Page |
These keywords often trigger voice assistant responses, rich snippets, or Google Business Profile actions.
✅ Step 2: Use AI to Expand Into Natural Language Keyword Variants
Prompt:
“List conversational and long-tail voice search keywords for a HVAC repair service in Austin, TX.”
DIYSEO GPT returns:
- “Who fixes AC units fast in Austin?”
- “Is there an HVAC repair open now in South Austin?”
- “What’s the best AC company with free quotes near me?”
- “How soon can I get AC service in 78704?”
- “Can I get emergency air conditioning repair on a Sunday?”
These keyword variations reflect how real people talk—not how they type—and are often underserved by competitors.
✅ Step 3: Create Voice-Search-Optimized Content with DIYSEO AI Writer
Once you’ve chosen your voice search keyword clusters, use DIYSEO AI Writer to create content optimized for both search engines and voice assistants like Google Assistant and Alexa.
Best formats include:
- Local landing pages
- Conversational FAQs
- Blog posts answering common questions
- Snippet-optimized how-tos and definitions
- Pages with embedded schema for “speakable” content
Prompt Example:
“Write a 1,500-word local landing page targeting the voice keyword ‘Who does emergency AC repair near me in Austin?’ Include business info, availability, service areas, and clear call-to-actions.”
The AI-generated output will:
- Start with a direct, conversational answer (ideal for snippets)
- Include secondary questions and answers (People Also Ask optimization)
- Reinforce the location and service type multiple times
- Offer CTA buttons like “Call Now,” “Get a Free Estimate,” or “Book Today”
- Match Google’s content quality and local relevance expectations
✅ Step 4: Add Structured FAQs and Speakable Schema
To capture voice search answers directly from Google Assistant or Alexa, use DIYSEO AI Writer to generate structured FAQs and wrap them in schema.
Prompt:
“Add four voice-search-friendly FAQ questions to my page about emergency dental services in Chicago.”
Sample output:
- “What’s the fastest way to get an emergency dental appointment in Chicago?”
- “Is there a 24-hour dentist near me open on weekends?”
- “Can I walk into an emergency dental clinic without an appointment?”
- “How much does same-day tooth extraction cost in Chicago?”
These FAQs help your page win in both organic search and spoken search responses.
✅ Step 5: Build Local Trust with Contextual Backlinks
Google ranks voice-friendly content higher when it’s supported by local authority. Use DIYSEO Link Marketplace to secure links from:
- Regional blogs and news sites
- Local directories and business lists
- City-focused event calendars or review aggregators
Target anchor text like:
- “emergency HVAC repair in Austin”
- “best local dentist open on weekends in Chicago”
- “find urgent care near me 24/7”
These links improve your local domain authority, increase crawl frequency, and help your voice-optimized content gain ranking and response priority.
Real-World Example: Capturing Voice Search Traffic with AI
Business: Emergency HVAC Services
Location: Austin, TX
Goal: Capture mobile and voice search leads
Strategy Using DIYSEO:
- Used DIYSEO GPT to identify long-tail voice search keywords like:
- “Who can fix my AC fast in Austin?”
- “Best HVAC repair open now near me”
- Created optimized landing pages using DIYSEO AI Writer
- Added FAQs with voice schema
- Secured 5 geo-relevant backlinks using DIYSEO Link Marketplace
Results:
- Page 1 ranking for 5 voice-targeted local queries
- 2 featured snippet placements
- 37% increase in mobile call volume in 60 days
- 3x increase in conversions from Google Assistant results
Voice SEO doesn’t just improve traffic—it generates calls and customers.
DIYSEO Voice Search Keyword Strategy Workflow
| Step | Tool | Task |
|---|---|---|
| Pull GSC and query data | DIYSEO GPT | Identify voice-style phrases, questions, and “near me” searches |
| Generate voice-style keyword clusters | DIYSEO GPT | Expand with natural language, geo modifiers, and action terms |
| Write optimized pages | DIYSEO AI Writer | Build local landing pages, answer-driven content, and FAQs |
| Add schema & snippets | DIYSEO AI Writer | Use speakable schema and featured-snippet-friendly structure |
| Build authority | DIYSEO Link Marketplace | Gain trust and rank in voice-first SERPs |
| Track calls and rankings | DIYSEO GPT | Monitor CTR, keyword growth, and direct call traffic |
Final Thoughts
Voice search is the future of local SEO—and that future is happening now.
With DIYSEO’s AI-powered toolkit, you can:
- Discover voice-optimized keywords before competitors
- Create content that answers real spoken questions
- Appear in Google’s spoken results, Map Packs, and snippets
- Drive more phone calls, bookings, and in-person visits
Don’t just rank—respond. Let AI help you speak your customer’s language.
Frequently Asked Questions
1. How can AI help identify the right keywords for voice search in local SEO?
AI can delve deep into the complex nature of voice search queries, which are typically longer and more conversational compared to text-based searches. Since voice search is often used to seek immediate answers with local intent, AI can analyze patterns in the way people phrase their spoken queries. It can process massive datasets collected from different voice searches to identify common phrases and questions that are often asked. Tools powered by AI can also understand nuances in language, intention, and context—helping you pinpoint those key phrases that align with local search behaviors. By using AI-driven insights, you can optimize your content for these specific phrases, making your business more visible to people who are searching by voice.
2. What is the difference between traditional SEO keywords and voice search keywords?
Traditional SEO keywords often focus on concise, precise terms like “Thai restaurant” or “urgent care Atlanta.” In contrast, voice search keywords mimic natural speech and tend to be longer and more conversational, such as “Where’s the best Thai restaurant near me?” or “What time does the closest urgent care open?” This reflects how people naturally speak and ask questions in everyday language. Because they are often questions, AI tools can assist by understanding the intent behind these searches, providing insights that go beyond straightforward keyword matching. This means you need to adjust your keyword strategy to include more question-based, long-tail phrases that AI tools can help discover.
3. Can AI improve the optimization process for local businesses using voice search?
Absolutely! AI can streamline and enhance the optimization process for local businesses significantly. By employing AI-driven tools, you can gain valuable insights into what your customers are looking for and how they’re asking for it. AI can help you uncover local search terms that are more colloquial, giving you an edge over competitors who rely solely on traditional keyword methods. It can also assist in adjusting your content to respond more effectively to voice queries, ensuring your business appears in relevant searches. Moreover, AI’s ability to predict trends means you can stay ahead of changes in consumer behavior, fine-tuning your SEO strategy to continue drawing in local traffic through voice search. Additionally, AI can regularly update your keyword lists based on continual learning from newly collected data.
4. What tools or platforms can be used to leverage AI for voice search keyword research?
There are several AI-powered tools available that specialize in keyword research for voice search. Tools such as Google’s AI-driven voice recognition and processing systems provide insights into common queries. Platforms like AnswerThePublic and SEMrush integrate AI to offer detailed analyses of how people speak their queries. Additionally, businesses can use natural language processing (NLP) tools and platforms like Bing’s AI tools for insights into voice search trends and behaviors. These tools help you access data visualizations and predictions that are crucial to adapting to voice search trends. Choosing the right combination of these platforms can offer a comprehensive view of your voice search landscape, allowing you to tailor your content for better search visibility.
5. How should a local business adapt its content strategy to align with AI-driven voice search insights?
Adapting a content strategy to align with insights gained from AI-driven voice search involves a few critical adjustments. Firstly, ensure your content is conversational and addresses potential questions directly. Implementing FAQ sections on your website that use complete, question-based phrases can directly cater to voice searches. It’s essential to focus on local intent by optimizing for “near me” searches and including geographic keywords that are accurate and descriptive. Incorporating structured data can also enhance how search engines comprehend the context of your content. Using AI insights, continually refine your keyword strategy by tracking performance metrics and adjusting your content to reflect any shifts in user behavior or search trends. Remaining flexible and responsive as AI tools provide new insights will keep your strategy aligned with evolving voice search dynamics.
