Having a different description meta tag for each page helps both users and Google, especially in searches where users may bring up multiple pages on your domain (for example, searches using the site: operator). If your site has thousands or even millions of pages, hand-crafting description meta tags probably isn't feasible. In this case, you could automatically generate description meta tags based on each page's content.
After you hit “Get ideas,” you will see the number of average monthly searches for the term you entered, plus other related search terms that you may want to use as keywords on your website. Create a list of the keywords and search terms you want to rank for, and fold them in to your website copy and content as naturally as possible. As Google sees your website using these keywords, it will view your site as a relevant and quality search result.
To find the right people I downloaded a list of some of the most popular users within the community. To do this, I used Screaming Frog SEO Spider to gather a list of all the URLs on the website. I then exported this list into an Excel spreadsheet and filtered the URLs to only show those that were user profile pages. I could do this because all of the profile pages had /user/ within the URL.
Local results are based primarily on relevance, distance, and prominence. These factors are combined to help find the best match for your search. For example, Google algorithms might decide that a business that's farther away from your location is more likely to have what you're looking for than a business that's closer, and therefore rank it higher in local results.
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