Voice search on Amazon refers to the ability of users to search for products on Amazon using voice commands, typically through digital assistants like Amazon's Alexa. This technology leverages natural language processing and machine learning to understand and process user queries. When a user asks for a product or a category of products using voice commands, the system interprets the request and returns relevant search results.
Shoppers use voice search for its convenience, especially when their hands are occupied or when they prefer a quicker search method than typing.
Users commonly ask for products by name or by describing the product. For example, "Alexa, find running shoes for men" or "Alexa, what are the best wireless headphones?"
Voice search is often used for reordering products that have been purchased before. For instance, "Alexa, reorder my last brand of coffee."
Shoppers also use voice search to ask questions about products, like price comparisons, product features, or reviews.
Users might ask for the best-rated or most popular products in a category, relying on voice search to guide their shopping decisions.
Since voice searches are more conversational, sellers should include natural language phrases and long-tail keywords in their product listings.
For businesses that also have a physical presence, optimizing for local SEO can be beneficial as users might search for products available nearby.
Product titles and descriptions should be clear, concise, and include relevant keywords that a user might speak.
Products that earn the "Amazon's Choice" badge are more likely to be recommended in voice searches. This badge is given to highly rated, well-priced products available to ship immediately.
Positive reviews can influence voice search results. Sellers should encourage satisfied customers to leave reviews.
Utilize the backend search terms in the Amazon Seller Central to include relevant keywords that might be used in voice searches.
Keep up with trending phrases and product-specific jargon that might be used in voice searches.
Incorporate phrases and questions in the product descriptions that users might use in everyday speech.
Since voice search results need to be concise, having key features in bullet points can help the voice assistant relay information effectively.
Ensure that the product detail page is mobile-friendly, as many voice searches are done via mobile devices.
Add a section of frequently asked questions that covers common voice queries related to the product.
Although more technical, using schema markup can help in making the product details more accessible to voice search algorithms.
Keep the product information, including pricing and availability, up to date, as outdated information can negatively impact voice search results.
By strategically optimizing their content and understanding the nuances of how customers use voice search, Amazon sellers can significantly enhance their visibility and appeal in this increasingly voice-driven shopping landscape.