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.
๐๐ซ๐ฒ ๐ญ๐ก๐ ๐๐๐ ๐ข๐ง๐ญ๐๐ ๐ซ๐๐ญ๐ข๐จ๐ง ๐ฏ๐๐ซ๐ฌ๐ข๐จ๐ง: https://lnkd.in/ggYacFBW ๐๐ซ๐ฒ ๐ญ๐ก๐ ๐ฆ๐๐ง๐ฎ๐๐ฅ ๐ค๐๐ฒ๐ฐ๐จ๐ซ๐ ๐ฏ๐๐ซ๐ฌ๐ข๐จ๐ง: https://lnkd.in/gTXwJ4XW ๐๐จ๐ฐ ๐ข๐ญ ๐ฐ๐จ๐ซ๐ค๐ฌ:
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: Itโs not perfect. It gets confused with abbreviations and specific industry jargon and can recommend the same placement multiple times. Use your judgment when optimizing.
๐๐จ๐๐ฌ ๐ข๐ญ ๐ฐ๐จ๐ซ๐ค?
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.
๐๐ก๐ฒ ๐๐จ๐๐ฌ ๐ข๐ญ ๐ฐ๐จ๐ซ๐ค?
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