![]() On one log file analysis, I found order pages that numbered in the thousands, responsible for a significant chunk of crawl budget. Google also considers website quality as a whole when ranking individual pages. Like removing thin pages during a content review, a log file analysis can find low-quality pages that search engines crawl but don’t deem worthy of decent indexation. new pages crawled and indexed quicker after removing low value pages that Google crawled regularly). Though we’ve seen indexation improvements on websites with as few as 150 pages indexed in Google (e.g. Generally, the more pages a website has, the greater benefits a log file analysis can provide. If crawl budget is wasted on pages that shouldn’t be crawled, it can lead to the website not being crawled or indexed as well as it should be. Most large websites have a crawl budget – a limited time search bots spend on a website each day. E.g: Beds > Double Beds > Jameson Natural Pine You want to send crawlers to the pages you want to rank in search engines while keeping them away from unimportant pages and especially pages that shouldn’t be indexed (such as filter URLs, test and template pages).Ī well structured main menu with a clear hierarchy that leads to products is one way of helping search bots (and website visitors). Guiding search bots (such as Googlebot and Bingbot) around a website is an important aspect of technical SEO. Server Log Files Request (Email Template).Software used for our Log File Analyses.I’ve provided example findings from a server log file analysis of .uk. ![]() ![]() Read on for a basic log file analysis that assumes some knowledge of SEO, Microsoft Excel formulas, and Screaming Frog SEO Spider (or other crawling software). ![]()
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