SMITH Algorithm in SEO: The Definitive Guide

SMITH Algorithm in SEO: The Definitive Guide

What is SMITH algorithm?

SMITH stands for  Siamese Multi-depth Transformer-based Hierarchical Encoder for long-form document matching. SMITH algorithm is trained to understand passages within the context of the entire document. Here we use the SMITH algorithm to check passages satisfy the criteria of the algorithm in the content or not.

Today in the definitive guide we will learn more about this new algorithm and the use-cases on how it will affect the future of SEO.

Working mechanism

  • We first take a long content with lots of passages. Probably a landing page of a website
  • Then we check passage density in the content.
  • Then we check the word count of each passage.
  • Check any long tail keywords if it’s available in the passage or not
  • The check similarity distance between two passages.
  • Check, If the similarity distance is high, have a long tail keyword available & satisfy the density criteria then the passage fulfills the SMITH algorithm in search engine optimization.

Ideal score’s which you need to keep in mind

  • The minimum word count of the passage should be between 30-60
  • Long-tail keyword present should be greater than 1

Details which we have taken for the optimization / Suggestion

1. We have taken the below content for the SMITH algorithm 

We have taken all the contents from this landing page from our website https://thatware.co/about-us/ 

2. Execution of Codes in Python

We have then used our own customized code (coded in Python) to measure the passage density, long-tail keywords, and for checking the passage similarity. The codes have been shared in the below Google doc. 

https://docs.google.com/document/d/10utMdC1Z-MOfoY1f2yjU45LnCqIaVV8vSZFdwQvZzdI/edit?usp=sharing

The Output’s Obtained

Word count & Passage density given below along with the passage:

P.S: The code triggered 7 passages and whilst counting the word’s the stop words have been ignored!

  1. [There are many technical seo companies around the world but THATWARE is recognized as a leader in it.]
  • Word count: 9
  • Passage Density 4.411764705882353

  1. [Traditional marketing never provided a better opportunity in understanding the customer’s need. Moreover, with old school marketing, proper analysis and handling of data were a lot difficult. As a result, the ROI and efficiency were much lower as compared to the AI-based marketing model. 4 key benefits are highlighted here as to why seo services should use the ai model over the traditional approach.]
  • Word count: 39
  • Passage Density 19.11764705882353
  1. [AI gives a positive influence on SEO. With AI, corporations can boost the precision, efficiency, and performance of search engine optimization techniques, comprising the content generated for SEO. While some of the SEOs may fear that AI will replace their role, AI fulfills a supporting role as an equipment.AI in SEO assists to enhance your recent SEO strategy by finding out chances, like related keywords. Its algorithms, as well as rate, help businesses expedite the method and improve the precision of keyword research, competitor analysis, search intent analysis, and much more.]
  • Word count: 59
  • Passage Density 28.921568627450984
  1. [There are many technical seo companies around the world but THATWARE is recognized as a leader in it. From advanced off-page services to professional seo services we are the market leader. ]
  • Word count: 18
  • Passage Density 8.823529411764707
  1. [Our main value-added proposition is ai seo optimization & business seo with cutting edge technologies such as data science, machine learning, semantic engineering, advanced search, and much more.]
  • Word count: 23
  • Passage Density 11.27450980392157

6. [While some of the SEOs may fear that AI will replace their role, AI fulfills a supporting role as an equipment.AI in SEO assists to enhance your recent SEO strategy by finding out chances, like related keywords. Its algorithms, as well as rate, help businesses expedite the method and improve the precision of keyword research, competitor analysis, search intent analysis, and much more. ]

  • Word count: 39
  • Passage Density 19.11764705882353
  1. [Its algorithms, as well as rate, help businesses expedite the method and improve the precision of keyword research, competitor analysis, search intent analysis, and much more. ]
  • Word count: 17
  • Passage Density 8.333333333333332

The number of long-tail keywords available in the passages is as under:

For Passage 1:

  • Number of long-tail keyword present: 6

For Passage 2:

  • Number of long-tail keyword present: 14

For Passage 3:

  • Number of long-tail keyword present: 6

For Passage 4:

  • Number of long-tail keyword present: 7

For Passage 5:

  • Number of long-tail keyword present: 5

For Passage 6:

  • Number of long-tail keyword present: 3

For Passage 7:

  • Number of long-tail keyword present: 2

The Similarity score’s for the passages have been given below:

P.S: Every passage have been compared with their subsequent passages for a similarity comparison

For Passage 1:

  • With passage 2, Score is 0.243
  • With passage 3, Score is 0.214
  • With passage 4, Score is 0.8
  • With passage 5, Score is 0.172
  • With passage 6, Score is 0.218
  • With passage 7, Score is 0.162

For Passage 2:

  • With passage 3, Score is 0.356
  • With passage 4, Score is 0.283
  • With passage 5, Score is 0.209
  • With passage 6, Score is 0.341
  • With passage 7, Score is 0.315

For Passage 3:

  • With passage 4, Score is 0.21
  • With passage 5, Score is 0.152
  • With passage 6, Score is 0.915
  • With passage 7, Score is 0.622

For Passage 4:

  • With passage 5, Score is 0.197
  • With passage 6, Score is 0.206
  • With passage 7, Score is 0.159

For Passage 5:

  • With passage 6, Score is 0.15
  • With passage 7, Score is 0.219

For Passage 6:

  • With passage 7, Score is 0.686

Conclusion and Final Result

After checking each passage with our code we can say that only one paragraph follows closely on the SMITH algorithm. Here it is:

[While some of the SEOs may fear that AI will replace their role, AI fulfills in a supporting role as an equipment.AI in SEO assists to enhance your recent SEO strategy by finding out chances, like related keywords. Its algorithms, as well as rate, help businesses expedite the method and improve the precision of keyword research, competitor analysis, search intent analysis, and much more.]

  • Passage similarity Score 0.915
  • Number of long-tail keyword present: 3
  • Word count: 39 (without stop words)
  • Passage Density 19.11764705882353

Only above passage fulfills all condition of SMITH algorithm here.

Benefit’s in SEO:

  1. Now since we know, how to evaluate the SMITH Algorithm of a landing page. This gives us a clue as to which passage Google might consider for an enhanced Passage Indexing.
  2. With the above point being said, SEOs can now optimize the “passage” obtained in the output by enriching it more as per the context which will give the SEO experts an upper edge to optimize for feature snippets and passage indexing.
  3. Please note, the use-case is ultra-useful for websites that have long contents and numerous passages. This makes effortless gains for SEO pros to optimize a given passage to yield higher potential for SERP features.