"Hey Siri, find me a good dentist near me." "Alexa, who are the best plumbers in Austin?" "OK Google, what's the highest-rated Italian restaurant nearby?"
Voice search queries have a distinct characteristic: the user gets exactly one answer. Unlike a screen-based search that returns a list, a voice assistant says one thing. If your business is that one thing, you win. If it's not, you're invisible.
How Voice Assistants Source Business Recommendations
Each major voice assistant draws from different primary data sources:
Siri (Apple) — primarily draws from Apple Maps for local business recommendations. Yelp reviews are also integrated. For general knowledge queries, Siri uses a combination of on-device knowledge and web search.
Alexa (Amazon) — uses Bing for general search queries. For local business recommendations, Alexa has historically drawn from Yelp and Yext-powered data. Amazon's own business directory is an emerging source.
Google Assistant — draws directly from Google's database, which means Google Business Profile, Google Maps, and Google reviews are the dominant data sources. An optimized GBP is the single most important factor for Google Assistant recommendations.
Siri with ChatGPT integration — Apple has integrated ChatGPT into Siri in iOS 18+, allowing Siri to forward complex queries to ChatGPT. This means optimizing for ChatGPT increasingly reaches Siri users as well.
The "One Answer" Dynamics
Because voice responses are singular (or at most a short list read aloud), the competitive stakes are higher than screen-based AI search. The signals that determine which business gets the one-answer recommendation:
Proximity — strongly weighted. The closest high-quality business usually wins for "near me" queries.
Rating and review volume — a business needs to be demonstrably high-quality to be recommended without qualification. Typically 4.0+ stars with 25+ reviews is the floor.
GBP completeness (for Google Assistant) — a fully filled-out GBP with current hours is nearly mandatory for Google Assistant local recommendations.
Apple Maps completeness (for Siri) — claimed and completed Apple Maps listing is the equivalent for Siri recommendations.
Category accuracy — the business must be categorized correctly. A dentist listed as "Medical" rather than "Dentist" may miss specialty dental queries.
Optimizing for Voice Search Specifically
Claim and complete Apple Maps at mapsconnect.apple.com. This is the most commonly overlooked voice search optimization because it requires the least marketing effort and most practitioners focus on Google. For Siri — which reaches hundreds of millions of iPhone users — this is critical.
Optimize for conversational queries. Voice queries are more conversational and longer than text queries:
- Text: "dentist Austin reviews"
- Voice: "Who is a good dentist in Austin who is good with nervous patients?"
Create content (especially FAQ pages) that answers these conversational question formats.
Add speakable schema. The speakable Schema.org property tells Google and other search engines which content on your page is particularly well-suited to be spoken aloud by a voice assistant. Add this to your most important Q&A content and description text.
Keep hours current. "Is [business] open right now?" is one of the most common voice queries for local businesses. An outdated GBP with wrong hours will cause voice assistants to give incorrect information — and potentially lose you a customer.
The Connection Between Voice and AI Search
As AI assistants become the interface for voice search (Siri routing to ChatGPT, Google Assistant using Gemini, Amazon Alexa using more sophisticated language models), the distinction between "voice search optimization" and "AI search optimization" is collapsing.
The same investments that improve your Visibility Score on text-based AI platforms (ChatGPT, Perplexity, Gemini) increasingly improve your voice search performance. The strategies reinforce each other:
- Complete Google Business Profile → better Google Assistant + Gemini + Google AI Overviews
- Complete Apple Maps → better Siri performance
- Strong Yelp presence → better ChatGPT + Perplexity + Alexa performance
- Schema markup on website → better all-around AI understanding
Q: How big is voice search for local business? A: Estimates suggest 30–40% of mobile searches have a voice component, and voice is disproportionately common for local business queries ("near me," "open now," "directions to"). For businesses like restaurants, auto repair, and healthcare — where mobile search at the moment of need is common — voice is already a significant channel.
Q: Can I track voice search visits specifically? A: Not reliably in standard analytics tools. Calls resulting from voice search are often indistinguishable from other call sources without dedicated call tracking. Ask customers "how did you find us?" during intake to get a rough picture of voice-referred customers over time.