Voice search, Trend implementation strategy for 2020

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As voice assistants become more popular, knowing how to optimize your SEO to rank first in voice search can help keep you at the top. Currently traditional SEO and voice SEO are ranked using the same algorithm in Google’s search engine. Therefore, to develop an SEO voice strategy, you must have an existing traditional search strategy and website, as new voice search strategy elements develop on existing content. It’s also key your site content is always up to date otherwise no matter how high you rank no one will be interested.

Step 1: Longtail Keywords Instead of developing short keywords, for voice search longtail keywords have more impact.

In 2017 Google Data shows that 70% of all searches on the Google Assistant are in natural language. - Forbes Voice search has more human conversations than traditional search and it is more likely to contain question phrases and longer sentences, since it’s easier to speak in full phrases than typing where we keep it shorthand. This is a strategic element to remember when developing content for voice search to drive traffic.

Typical long tail keywords range up to 5/6 words in length compared to typing which typically ranges up to 3. Voice searches are 76.1% longer than text bases searches – SEO expert

How to add longtail keywords into your strategy: Make your keywords more specific: Common keywords make it harder for your content to rank high in SEO so finding unique keywords can help you rank higher above competitors:

Think about: Updating product descriptions: For example: Women’s dress is unlikely to rank high as other ecommerce websites will likely have the same keyword, But ‘red lace women’s dress’ is more likely to rank higher. Emphasising products E.G how they feel, how comfortable they are, to sensory words can help connect potential buyers and help you rank higher when they search using voice. (These descriptions will turn into long tail keywords on your site). You can also expand your keywords into your product descriptions by predicting potential questions buyers might have about the product and developing them into key product descriptions


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