The Google Keyword Tool is SUPER helpful for building a foundation for your keyword research strategy. At the end of the day, these search numbers are coming straight from the horses mouth. You can filter down to a hyper-local level and see which keywords are getting the largest search volume. Plus, with it’s integration with PPC you can get a quick idea about commercial intent by looking at the bid and competition metrics. How much are people bidding on KWs, higher = more likely to generate a return. Usually its aligned with search intent. That said, the trending data is a little less reliable. I would still use Trends to analyze the popularity/ seasonality of KW search volume.
One important strategy for getting specific enough to rank is researching long-tail keyword phrases. For instance, instead of searching for travel agent, a user may prefer the specificity of “Disney travel agents for European cruises.” Seventy percent of Google search are long-tail queries. Long-tail presents the opportunity to optimize for your target audience. As you research keywords, look for long-tail keyword phrases you can prioritize.
Internal duplicate content is when you have more than one URL address pointing to one and the same page. A great example for such duplicate content is e-commerce websites. Usually, online shops use multiple filters (for price, color, size, etc.) in order to help their users find the right products easily. The problem occurs when this internal duplicate content has not been taken care of properly (noindex tags, canonical tags and robots.txt rules). This can have a devastating effect on your SEO.
If the pages you’ve created don’t rank for the keywords you’ve selected, you should re-evaluate your content strategy and adjust. If your page isn’t generating organic traffic, focus on less competitive keywords. Unfortunately in reality this is pretty common. The good thing is, you’ve collected a lot of actual keyword data at this stage. Adjust your keyword strategy and use this data in your advantage.      
Remember, again since the Google AI is tracking real user behavior and using that as a quality signal - we are trying to avoid the scenario where the user visits out page and then clicks the back button which effectively takes him back to Google to search again or continue the search. If this happens, it indicates that users did not find the information they are looking for on our site.

One important strategy for getting specific enough to rank is researching long-tail keyword phrases. For instance, instead of searching for travel agent, a user may prefer the specificity of “Disney travel agents for European cruises.” Seventy percent of Google search are long-tail queries. Long-tail presents the opportunity to optimize for your target audience. As you research keywords, look for long-tail keyword phrases you can prioritize.
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Hi, Great article! the tools you listed in this article are great. I tried only Keyword planner and at present I’m using a long tail pro for Keyword search but I didn’t try the other tools you said. Because I’m new to this and now only I’m learning one by one. At this time, I thought this guide will help me to know more about keyword search tools. It’s wonder and thank you so much for this nice guide. 

An SEO audit that just includes some marketer telling you what they think is wrong might be helpful, but it’s not a true audit. You should require professional tools involving research and algorithms to be used in addition to professional opinions. Why? Because those tools were created for a reason. Whether your SEO audit pulls from sites like SEMrush or Screaming Frog SEO Spider, they should have data backing them up.
How do you go about a Pagination? You have to simply place the attributes: rel=”prev” and rel=”next” in the head of each page in the series. Perform an audit by using an SEO Spider tool. While doing this, make sure that the attributes serve its purpose and that is to establish a relationship between the interconnected URLs that directs the user to the most relevant content that they need.
I recently decided to go with ahrefs after using spyfu for a couple years and trialing secockpit. I was a moz client for awhile too about a year ago. I found spyfu data to be sketchy (or just plain wrong) fairly often, and moz, I don’t know, just didn’t seem like they were really into supporting what I wanted to know. secockpit was achingly slow for a trickle of data. ahrefs isn’t nearly so graph-y as spyfu, but they are so blazing fast and the data is so deep. I enjoy it a great deal, even if it is spendy.
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