Evaluating which self-service SEO tools are best suited to your business incorporates a number of factors, features, and SEO metrics. Ultimately, though, when we talk about "optimizing," it all comes down to how easy the tool makes it to get, understand, and take action on the SEO data you need. Particularly when it comes to ad hoc keyword investigation, it's about the ease with which you can zero in on the ground where you can make the most progress. In business terms, that means making sure you're targeting the most opportune and effective keywords available in your industry or space—the words for which your customers are searching.
On the voice and natural language side, it's all about FAQs (frequently asked questions). Virtual assistants and smart home devices have made voice recognition and natural language processing (NLP) not only desirable but an expected search vector. To predict how to surface a business's results in a voice search, SEO professionals now need to concentrate on ranking for the common NL queries around target keywords. Google's Quick Answers exist to give its traditional text-based search results an easy NL component to pull from when Google Assistant is answering questions.
Hi Noya, all the info suggests that dwell time IS taken into account in search ranking, and we know that Google measures time on page and bounce rate in Analytics, too. Plus the search engine gets smarter all the time. With the machine learning component of RankBrain, we wouldn’t be surprised if Google can tell the difference between sites where visitors stick around, bounces where the visitor gets an answer immediately, and bounces where the visitor keeps searching.