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

I am currently trying my best to build a script that allows us to analyze content decay in bulk in a much easier and more productive way but I am reaching a point where I am stuck and can´t make any progress so, I am sharing my idea so hopefully someone else can take on this and share it with the community. Here´s what I plan the script to do: - Connect to GSC - Input the site´s sitemap - An option to exclude any subfolder and/or collections from the analysis (if we only want to focus the analysis on the /blog/ subfolder for example or exclude /category/) - Fetched the Clicks and Impression data for each URL for the last 3 months comparing MoM (check the attached image below) - Highlight with a particular color any and all URLs with a clear downward trend in consecutive months (maybe yellow) and another color for a downward trend in back to back to back months (maybe red - we would prioritize these) - Maybe not color code this and just add a column at the end with a number indicating the number of consecutive months - Export it to a CSV Have you found something like this? Thoughts?

Hi, Is there a pertinent and precise prompt for translating a text for a website or a video ? and verify the translation? and to automatise the process? speech to text? Do you recommand to act with a plug-in? Rask.ai ? (of course there is a lot of translators like google) Any ideas?

Is there any free tools that can use flr keyword research?

This app makes blogs 4 u https://www.skool.com/ai-seo/classroom/09b951ef?md=ac832add8fd2485493b682f8053e896b How the app works: 1. Enter a target keyword you want to make a blog post about 2. Choose an output format (Markdown or HTML) 3. Select a Tone of Voice and run it 4. Wait about 5 minutes and enjoy a blog fresh from the LLM oven!