I'll be co-hosting a webinar on Nov 21 with @Mason Yu from MarketerHire about building and leveraging no-code AI tools to help you streamline and automate your SEO Efforts. Recording: Maximizing SEO With AI Tools

Add a comment here to say hi and tell us a little about yourself! (If you're up for it)

Looking for a specific tool, feature, or functionality? Request it here. I'm always looking or new ideas for things to make. Please provide as much detail as you can. Such as what the tool should do, what you'll use it for, etc.

i am doing right now basic link building. i am reading advanced. but applying practical it's difficult. didn't get result. any suggestions to improve ?

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