How do you find voice search keywords?
To find voice search keywords, start with seed terms related to your business, use keyword tools to find specific, naturally phrased questions, and turn to Google Autocomplete for additional ideas. But these are candidate keywords, not confirmed records of voice queries: Semrush explicitly notes that the tool data is not designed specifically for voice search, so its search volumes cannot be treated as voice search volumes.
Start with specific needs, not just longer keywords
A 2021 Semrush article notes that voice queries tend to be longer than typed queries and more closely resemble complete questions. Semrush’s 2023 keyword research recommendations focus on three categories:
- Long-tail keywords: These reflect specific needs and usually have lower search volumes; word count alone does not define them.
- Question keywords: These use question words such as “how,” “where,” and “when.”
- Conversational keywords: These read like natural conversation rather than an awkward string of nouns.
The three categories can overlap. As an editorial example, “air conditioner cleaning” is a seed term, while “Where can I book air conditioner cleaning nearby?” adds location and service needs. However, rewriting a phrase as a conversational question only gives you a candidate to investigate; it does not prove that users have actually searched for it.
Use a question filter to find keywords, then check their relevance
Semrush’s 2023 article describes a workflow for Keyword Magic Tool. The steps below reflect the process at that time and may not match the current interface:
- Enter a seed term related to your business or topic and select the target country.
- Use the “Questions” filter to find questions related to your services.
- If needed, narrow the results using the “Easy” or “Very Easy” difficulty filters, but do not choose a keyword solely because its difficulty is low.
- Keep queries that sound natural, express specific needs, and can be answered by your website’s content. Organize them into a list, then review the search results.
A difficulty score is not the probability that a voice assistant will use your answer. The KD metric described in the article measures the difficulty of reaching the top ten traditional search results; long-tail keywords are not necessarily low-competition, either. Google Autocomplete can provide additional keyword ideas, but it cannot tell you whether a query came from voice search.
Match “nearby” and “Are you open today?” to actual services
Local needs are also worth considering when looking for keywords. A 2025 Semrush article illustrates the connection between voice search and local SEO with an example of using a voice assistant to find a nearby sushi restaurant. You can therefore use “nearby services” as a starting point, but specify the actual service in your keywords rather than inserting the same phrase into every page.
For “Are you open today?”, first check whether your website can answer that question. A better-supported approach is to identify relevant questions first, then create content that answers them. Semrush’s 2023 article also recommends incorporating relevant keywords naturally into content and prioritizing readers’ needs. However, the available material does not directly assess whether adding these terms has negative effects, so there is no guarantee that doing so is risk-free. Nor can you conclude that adding them will improve rankings.
At Procrustes, our content services turn the questions that genuinely matter to clients into articles, with ongoing planning, writing, and updates.
Voice search keywords: perspectives from across the web
Do voice search keywords have to be researched separately from typed search keywords?
Not entirely. A 2019 forum comment argued that voice and typed searches use the same keywords, so existing SEO methods still apply. Semrush’s article recommends paying attention to more natural, complete questions. These views are compatible: you can start with existing business-related terms and add possible conversational questions without assuming that each term belongs exclusively to voice or typed search.
Must a heading match the user’s spoken question word for word?
A word-for-word match should not be treated as a requirement. Using simple questions as examples, Semrush recommended in 2023 that headings match the questions and be accompanied by brief answers; another article recommends a natural, conversational tone and specific, relevant keywords. The former is an approach for simple questions, not sufficient evidence that all voice queries require exact matching. Topic selection should still reflect the questions the content can actually answer.
References
- Voice Search Optimization: 6 Tips to Improve Your Resultswww.semrush.com · 2023-08-29T11:04:00Z — Source used in the article above.
- SEO Trends and Techniques in 2019: What Challenges are Coming?www.warriorforum.com — Discusses: Do voice search keywords have to be researched separately from typed search keywords?
- Mobile Keyword Research: What It Is & How to Do Itwww.semrush.com · 2021-01-27T06:30:00Z — Discusses: Do voice search keywords have to be researched separately from typed search keywords?
- 7 Up-to-Date Voice Search Statistics (+ 3 Best Practices)www.semrush.com · 2023-10-20T14:24:00Z — Discusses: Must a heading match the user’s spoken question word for word?
- The Ultimate Guide to Casino SEO: How to Rank Higher, Fasterwww.semrush.com · 2023-12-27T13:16:00Z — Discusses: Must a heading match the user’s spoken question word for word?
- SEO Tasks to Boost Your Site's Performance and Usabilitywww.semrush.com · 2025-05-05T10:15:00Z — Source used in the article above.


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