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I spoke with an experienced web developer yesterday who mentioned he didn’t have his sitemap in his robot.txt files.I was more than a little surprised. A sitemap should be included in your robots.txt file as its important because it helps search engines find and understand how to crawl and index your site pages. This improves your site's crawlability and indexing, which leads to better search engine rankings Creating a Robots. txt file allows search crawlers to find and identify your website's sitemap more accurately too. It also helps reduce the potential workload of the search engine bots to index your website. If a Robots. txt file is not included, the sitemap will need to be submitted manually to the search engine directly. This usually takes 8-10 seconds a page or you can do uk to 500 pages via Google Search Console. More via Bing. Organises content Using multiple sitemap links in a robots.txt file helps organise content AND ensure that search engines crawl and index the site more effectively. Most crawls by the bits usually only crawl about 20% of your website pages… we can index 100% of your pages every day for you if you like. According to Google 95% of website pages get ZERO traffic. This tip will help ecommerce businesses and large website owners get more organic traffic.If you want to increase or improve your website traffic, or want a free website audit and site traffic overview. DM me or comment below with your URL. https://digitalmarketinggroundworks.com/svs/?Source=JohnJBRussell #seotips #seoadvice #seoagency #websites #organictraffic #webtraffic #sales #ecommerce #retailers #googletips #searchengines

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This tool helps you optimize pages for striking distance keywords in GSC! Just enter a URL and hit run. You'll get a list of optimization placements. 𝐓𝐫𝐲 𝐭𝐡𝐞 𝐆𝐒𝐂 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐯𝐞𝐫𝐬𝐢𝐨𝐧: https://lnkd.in/ggYacFBW 𝐓𝐫𝐲 𝐭𝐡𝐞 𝐦𝐚𝐧𝐮𝐚𝐥 𝐤𝐞𝐲𝐰𝐨𝐫𝐝 𝐯𝐞𝐫𝐬𝐢𝐨𝐧: https://lnkd.in/gTXwJ4XW 𝐇𝐨𝐰 𝐢𝐭 𝐰𝐨𝐫𝐤𝐬: 1. Scrapes your existing published web page 2. Connects to Google Search console and pulls the highest-performing queries in the last 90 days 3. Counts and scores the n-grams usage of your page text 4. Determines where and how to increase usage for unused and underoptimized queries 5. Outputs optimized text with increased keyword frequency (marked in bold) Note: It’s not perfect. It gets confused with abbreviations and specific industry jargon and can recommend the same placement multiple times. Use your judgment when optimizing. 𝐃𝐨𝐞𝐬 𝐢𝐭 𝐰𝐨𝐫𝐤? I recently used this tactic to increase clicks to a page by 52%! It also got clicks from 30% more queries! I've used this tactic for years and recently automated it. 𝐖𝐡𝐲 𝐝𝐨𝐞𝐬 𝐢𝐭 𝐰𝐨𝐫𝐤? Optimizing for the queries your page already ranks for helps it get more visibility and higher rankings, and helps it rank for new related queries. It will also help increase rankings for the other queries. Rising tides and such. The Python this app uses is cool: - Turns page text into n-grams. - Scores n-gram relevance to keywords using cosine similarity. - Filters out low-relevant n-gram keyword pairs. - Feeds the most relevant pairs to Claude 3.5 Sonnet for placements Full details here