Editorial Team Key Takeaways
- Use AI-powered tools like Semrush’s Keyword Magic Tool with the question and word-count filters to find the long-tail, conversational queries people actually use in voice search.
- Sort your voice queries by intent, informational, navigational, transactional, investigational, so you can write ad copy that actually matches what the user wants.
- In Google Ads, use “Phrase Match” and the old “Broad Match Modifier” logic, along with a heavy dose of negative keywords, to hit voice search queries without burning through your budget.
- Check your voice search ad performance every two to four weeks. You need to be adjusting bids and tweaking ad copy based on what the conversion data and user behavior are telling you.
- If you’re a local business, you have to build your ad strategy around local modifiers and question-based keywords to grab those high-intent “near me” voice searches.
The way people use search has been totally upended by smart speakers and voice assistants, which is both a headache and a huge opportunity for us advertisers. With voice search projected to be a massive chunk of all online searches by 2026, you can’t just keep doing the same old keyword research. Your standard text-based keyword lists are going to miss the mark because people talk differently than they type, their queries are longer, more like a conversation, and full of questions. This means we have to use smarter, AI-based methods to figure out the exact phrases people are speaking into their devices. An effective AI voice search strategy is table stakes now for accurate ad targeting. So how do you actually find these things?
1. Identify Core Voice Search Personas and Scenarios
Before you even open a keyword tool, you have to get inside the heads of the people using voice search for your product and figure out *why* they’re doing it. I always start by brainstorming user scenarios. For a local coffee shop, you might have “Sarah, a busy professional driving to work.” She isn’t going to just say “coffee shop.” She’s going to say, “Hey Google, where’s the nearest coffee shop with a drive-thru that’s open right now?” or “Siri, find me a latte near my office.” Figuring this out first stops you from using the wrong seed keywords later on.
You also have to think about the context. Is the person in their car? At home making dinner? Walking down the street? Their physical environment changes how urgent and specific their search is. People using voice are often looking for an immediate solution or local info. I always document these personas and their likely search phrases in a shared spreadsheet. Doing this foundational work now prevents you from chasing a bunch of irrelevant keywords down the road.
Pro Tip: Frame your brainstorming around the “5 W’s and H” (Who, What, When, Where, Why, How). This naturally leads you to voice search patterns like, “Who sells organic dog food?” or “How do I fix a leaky faucet?”
2. Use AI-Powered Keyword Research Tools for Conversational Queries
Okay, with your personas mapped out, now you can fire up the tools built to find real conversational language. Your old-school keyword tool might spit out “best running shoes,” but a voice user is far more likely to ask, “What are the best running shoes for flat feet?” This is where AI-driven platforms really shine, since they’re great at pulling out these long, natural-sounding phrases.
My first stop is usually a tool like Semrush’s Keyword Magic Tool. I’ll put in my broad seed keywords, like “personal injury lawyer Atlanta” or “home insurance quotes.” The real magic happens when you start applying filters. Hit the “Questions” filter, and you’ll instantly get a list of queries phrased as a question. Then I’ll refine it even more by filtering the “Word count” to 4+ words, which is a good signal for a voice search. Suddenly, for “personal injury lawyer Atlanta,” I’m seeing gold like “What are the average settlements for car accidents in Atlanta?” or “Who is the best personal injury lawyer near Fulton County Superior Court?” These are the high-intent voice queries you’d never find otherwise.
Another solid choice is Moz Keyword Explorer. Once you’ve entered your seed terms, go to the “Suggestions” tab and use the “Question” filter. I’ve found Moz’s AI is weirdly good at finding related long-tail questions that a human would probably miss. You can export these lists and dump them into a word cloud generator to quickly spot recurring themes and common ways people phrase things.
Common Mistake: Just targeting short-tail keywords. Sure, “car insurance” gets a ton of volume, but it’s way too broad for voice search. Voice users are almost always more specific and further along in the buying process.
“Referral traffic from AI tools like ChatGPT and Gemini has tripled over the past year, and 44% of marketers say they’ve made a business purchase based on a brand they first discovered in an AI answer.”
3. Analyze Search Intent and Categorize Voice Queries
Getting a long list of voice keywords is only the first step. You need to know the *intent* behind each one. Voice queries generally fall into a few buckets: informational (“What is the average cost of a kitchen remodel?”), navigational (“Directions to the nearest Home Depot”), transactional (“Buy size 9 running shoes”), and investigational (“Compare iPhone 15 vs. Samsung Galaxy S24 features”).
You have to manually go through your AI-generated list and tag each keyword with an intent category. This part is absolutely essential for writing ad copy that works. If the query is informational, your ad should offer helpful content, maybe sending them to a blog post. If it’s transactional, the ad needs to go straight to a product page. I always use a color-coding system in my spreadsheets for this (e.g., green for transactional, blue for informational). That visual guide makes it so much easier when I’m building out ad groups later.
4. Map Voice Keywords to Ad Groups and Craft Conversational Ad Copy
Once you’ve categorized your keywords by intent, you can finally start building your ad campaigns properly. You’ll want to create very granular ad groups that are based on specific themes and intents. For example, all your transactional voice queries about “buy running shoes” will live in one ad group, while the informational queries like “how to choose running shoes” will go into a completely different one. This lets you get incredibly specific with your ad messaging.
When you write the ad copy, make it sound like a person, not a robot. Don’t just say “Best Running Shoes.” Try a headline like “Need Running Shoes for Flat Feet? Shop Our Top Picks” or “Find the Perfect Running Shoes for Your Marathon Training.” Dynamic keyword insertion can work, but you have to check that the final ad still reads like a normal sentence. Your calls to action need to match the user’s intent. And if you’re a local business, you have to use location-specific language like “Fastest Pizza Delivery in Midtown Atlanta” or “Emergency Plumber Near Emory University.”
Pro Tip: Constantly test ad variations that are written as direct answers to common questions. If you see a lot of people asking, “Where can I get my car detailed in Buckhead?”, your ad copy should be something like “Professional Car Detailing in Buckhead. Book Now!”
5. Implement Precise Bidding Strategies and Match Types for Voice Search Ads
Voice searches can convert really well, but they can also get expensive fast if you’re not careful. In Google Ads, I still find that “Phrase Match” and the logic behind the old “Broad Match Modifier” (BMM) are your best friends for voice search keywords. Even though Google has changed its match types, thinking in terms of BMM gives you a decent mix of reach and control for these longer, unpredictable queries. For instance, setting up a keyword like +best +running +shoes +flat +feet will catch variations like “best running shoes for flat feet women” without being too wide open.
You absolutely must have a strong negative keyword strategy. Voice search can pull in all sorts of garbage phrases. You need to be in your search term reports all the time, adding negatives for anything that’s not relevant. If you sell running shoes, you don’t want to pay for clicks from “sneakers review” or “casual shoes,” so add them to your negative list.
Once you have enough conversion data flowing, think about switching to “Target CPA” or “Maximize Conversions” bidding. These AI-driven strategies are good at optimizing for the value of a voice search lead. But when you’re starting a new campaign, I’d stick with manual CPC or eCPC to get a feel for the data and keep control over your spend.
6. Monitor Performance and Iteratively Refine Your Voice Search Ad Strategy
You can’t just launch a voice search campaign and walk away. You have to be in there constantly monitoring and optimizing. I check my Google Ads search term reports weekly, at a minimum. I’m looking for new voice queries that are converting so I can add them to my keyword list, and I’m also looking for terms that are just wasting money so I can add them as negatives or adjust the bids. This is not a one-and-done task.
Keep a close eye on your conversion rates and cost-per-conversion for your voice-specific ad groups. Are certain question-based keywords knocking it out of the park? Put more budget behind them. Are others just burning cash? Pause them and figure out why. You should be A/B testing different headlines and descriptions that speak to common voice queries. As a rule of thumb, I do a full performance audit every two to four weeks, usually adjusting bids by 10-15% based on what the data is telling me.
And of course, you have to keep up with what the platforms are doing. Google Assistant, Alexa, and Siri are always changing, and a new feature could completely alter how people search and how you need to advertise. If you stay on top of it, you can adapt your strategy before you get left behind.
If you systematically use AI for keyword research, truly understand the user’s intent, and then build and refine your campaigns around that knowledge, you can win the voice search game. This kind of targeting cuts down on wasted ad spend and connects you with users who are much closer to making a buying decision, which means better conversion rates and a much healthier return on investment.
How do AI tools help find voice search keywords?
AI tools are great at sifting through huge amounts of data on how people actually talk. They spot the common question formats, slang, and long-tail phrases people use when speaking to a device. They can pick up on intent and context in a way that older keyword tools just can’t, giving you a list of highly relevant, conversational keywords.
What’s the difference between text and voice keywords?
Voice keywords are longer, conversational, and usually questions (like, “Where’s the closest Italian place that’s open now?”). Text keywords are short, choppy, and to the point (like, “italian restaurant near me”).
Should I make separate campaigns just for voice search ads?
You don’t need entirely separate campaigns, but I absolutely recommend creating dedicated ad groups for your voice search keywords. This is the only way to write tailored ad copy that speaks directly to those queries and allows you to set more accurate bids for them.
How often should I update my voice search keywords?
At least monthly. The way people talk and search changes, and you have to keep up. Constantly checking your search term reports in Google Ads is the best way to find new, winning queries and to spot irrelevant terms you need to add as negatives.
Are some ad extensions better for voice search?
Yes. Location extensions are a must, since a huge number of voice searches are local (like “Find a pizza place near me”). Call extensions are also super important for users who want to connect immediately. I also like using structured snippet extensions to call out specific features or services that directly answer a common question.
