Amazon listing optimization for Alexa

You know the need to optimize your Amazon listing for voice search, you can learn about the measures you can take to realize it. The tips are easy to understand and implement so you can save time whenever you choose to optimize your amazon product listing.

  • Write descriptions that can answer questions

One of the key differentiating factors between voice and text-based searches is using questions in greater quantity in voice. An example is, “What’s the best sports shoe model under $400?” instead of typing “Best sports shoe model under $400” in a search bar. Therefore, your product descriptions should contain vital product information. Prominently so that Alexa can easily pick and add that in answers to questions it receives. 

 

Ensure that keywords referring to product features are present in both the title and main description. See to it that the Amazon description writing highlights features in bullet points. 

 

Ensure that technical SEO aspects like alt-text for product images are present so that they can also serve as reference tools for Alexa. A good practice to get this optimization right is to look at related FAQs. Write your descriptions like you would be answering those questions. 

  • Localize the content

Nearly 58% of users tend to use voice search to find local businesses for their desired products. This includes eCommerce stores too. 

 

The high voice search usage count compared to text-based is because the latter is risky or impossible during activities like driving or walking. These activities are also when users look locally for items they need to buy. Thus, consider localization while creating/optimizing your product descriptions. You can hire an Amazon optimization services provider with expertise in the field and use optimization tools like Yext.

 

Focus on your primary target region or area of operation and include a reference in your content. The keyword “near me” is the most often used term for local searches, so add your business locations into the system for easy indexing. Add as many locally applicable keywords too, and align your product lineup to meet local tastes and trends, increasing its chances of ranking high in SERPs. 

  • Use long-tail keywords

In the case of voice-based searches, short keywords pale in comparison to the ability of long-tail keywords to bring in a focused set of prospects. 

 

They can work wonders for your conversion if you tune your Amazon Store SEO accordingly. Voice search and long-tail keywords go well together because both works on the specificity of a query and are focused sharply on a particular result. 

 

Another inherent advantage of long-tail keywords is the relative lack of competition. Primary and secondary keywords contain high usage volumes, reducing the chances of your products getting picked by Alexa. On the other hand, long-tail keywords can be customized, thereby improving your chances of getting conversions. You can include vital attributes such as brand name, price, and color as keywords to help distinguish your listings from the competition. 

  • Optimize bullet points

The bullet points present on an Amazon product description page serve as the anchor for the site’s search algorithms during indexing. This is because of the organized manner in which pertinent information about the product is mentioned. Alexa also considers bullet points as its source material while presenting the Amazon description writing to an enquirer. 

 

The recital starts by mentioning the product title and price. Products having the Amazon Choice badge and ranking at the top of search results always get preference. Alexa then mentions the star ratings and reviews, after which the bullet points get read aloud verbatim. Therefore, your content should be optimized such that every step of the recital is clear and the bullet points succinct. 

 

Note that Alexa is finicky with punctuation, special characters, and abbreviations. So it’s best to avoid the latter two and keep the former to a minimum. Start the points with a subject or verb for easy comprehension. Have a conversational tone wherever applicable while focussing on scannability for SEO purposes. 

  • Keep the language naturally flowing

The Amazon description writing should read and feel like a normal conversation. It shouldn’t sound or feel like a bot has been put up. Whatever it thought would be relevant to the product in question.

 

This writing style plays a significant role in voice search because the enquirer may choose not to view their search results on a screen. Yet, they may intend to know more about the product and request more information about their target purchase. 

 

Their request may contain the intent to understand the lifestyle changes the product may bring. And Alexa should respond with content that can weave a picture of the lifestyle. Upgrade the product can create, helping to draw the potential customer close to a purchase. If the person encounters a response with broken sentences. Poor grammar that doesn’t resonate with them, the search is likely to result in a bounce. 

 

Thus, you should optimize Amazon product listings to be grammatically correct, contain complete but succinct information, and have free-flowing content structuring for the best voice-based ROI. 

The final word

With even mundane objects like light bulbs turning into Smart devices, the future will favor voice-based operations. Amazon has placed Alexa firmly in the lead by making the assistant ubiquitous and multi-talented, offering convenience to their customers wherever the latter may be. You, as a seller, can also make it a convenient tool for increasing your eStore’s conversions by restructuring your product descriptions for voice searches. Taking the help of a dedicated Amazon Optimization services agency, like Data4Amazon, can add to the benefits by saving costs and time while delivering content made by experts in the field. You’re bound to hear the sound of successful sale notifications frequently beeping if you go ahead with it.

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jessicapcampbelll

Jessica Campbell is a Professional Content Strategist at Data-Entry-india.com, a leading organization providing end-to-end Amazon virtual assistant services. For over 7+ years, she has been writing about best practices, tips, and ways to enhance brand visibility and boost sales on the Amazon marketplace. So far, she has written several articles on Amazon listing optimization, Amazon PPC Management services, Amazon SEO & marketing, Amazon store setup, Amazon product data entry, Data standardization, data enrichment, data annotation, video annotation, and more. She holds 12+ years of copywriting experience and has helped thousands of businesses and Amazon sellers build their presence in the marketplace, reach new customers, and register better sales & conversions through the power of a well-built copy.

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