When your business has an idea about a new search topic for which you think your content has the potential to rank highly, the ability to spin up a query and investigate it right away is key. Even more importantly, the tool should give you enough data points, guidance, and recommendations to confirm whether or not that particular keyword, or a related keyword or search phrase, is an SEO battle worth fighting (and, if so, how to win). We'll get into the factors and metrics to help you make those decisions a little later.
Write a description that would both inform and interest users if they saw your description meta tag as a snippet in a search result. While there's no minimal or maximal length for the text in a description meta tag, we recommend making sure that it's long enough to be fully shown in Search (note that users may see different sized snippets depending on how and where they search), and contains all the relevant information users would need to determine whether the page will be useful and relevant to them.
Mike Levin is the Senior SEO Director at Ziff Davis, PCMag's parent company. His career goes back 25 years to the halls of Commodore Computers, as an original Amiga fanboy to be beamed up by the mothership just as it imploded. Over his past 10 years in NYC, Mike's highlights have included leading the Apple Store, Kraft and JCPenney SEO accounts whi... See Full Bio

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By 2004, search engines had incorporated a wide range of undisclosed factors in their ranking algorithms to reduce the impact of link manipulation. In June 2007, The New York Times' Saul Hansell stated Google ranks sites using more than 200 different signals.[26] The leading search engines, Google, Bing, and Yahoo, do not disclose the algorithms they use to rank pages. Some SEO practitioners have studied different approaches to search engine optimization, and have shared their personal opinions.[27] Patents related to search engines can provide information to better understand search engines.[28] In 2005, Google began personalizing search results for each user. Depending on their history of previous searches, Google crafted results for logged in users.[29]
This is also where you can see Google's ML algorithms at work. Powered by Google Cloud Platform, the way Quick Answers and Featured Snippets are extracted gets increasingly smarter as Google introduces new innovations in deep learning and neural networks. These constantly evolving algorithms are baked into how the search engine surfaces information.

Most keyowrd databases consist of a small sample of the overall search universe. This means keyword databases tend to skew more toward commercial terms and the core/head industry terms, with slighlty less coverage of the midtail terms. Many rarely searched for longtail terms are not covered due to database size limitations & lack of commercial data around those terms. Plus if those terms were covered, there would be large sampling errors. Google generates over 2 trillion searches per year and claims 15% of their searches are unique. This means they generate searches for over 300 billion unique keywords each year. The good news about limited tail coverage is it means most any keyword we return data on is a keyword with some commercial value to it. And with Google's Rankbrain algorithm, if you rank well on core industry terms then your pages will often tend to rank well for other related tail keywords.
Ever heard of Maslow's hierarchy of needs? It's a theory of psychology that prioritizes the most fundamental human needs (like air, water, and physical safety) over more advanced needs (like esteem and social belonging). The theory is that you can't achieve the needs at the top without ensuring the more fundamental needs are met first. Love doesn't matter if you don't have food.
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