Lesson 17: Basic Algorithmic Authorship Instructions
Key Takeaways
Core Concepts
Main Teaching
hello this is the 13th lecture in the semantic esser course and we will talk about some of the code language that i am actually using the thing is i have actually more than 200 algorithmic authorship rules and i usually these use rules inside my content briefs and the thing that we basically do is creating our own language model with the human authors but to be able to use these language models with the human authors you will need certain types of instructions trainings and also standardization so to be able to use these rules i will suggest you to make a little bit exercise and once we actual...
Koray's Terminology
| Term | Meaning in Context |
|---|---|
| Topical Map | Content network design based on semantics with core and outer sections, processing a central entity with main and minor attributes |
| Source Context | The purpose of the brand identity and how the brand monetizes its content |
| Algorithmic Authorship | Rules and instructions that standardize how authors write content for maximum relevance |
Practical Application
- Create a content brief using Koray's contextual vector methodology
- Map out the central entity and source context for your project
- Study the concepts presented in this lesson until they become intuitive
- Review the related case studies mentioned by Koray for real-world application
- Practice identifying the key terminology in your own SEO projects
- Apply the frameworks discussed to a test website or content network
Connection to Framework
Full Transcript
hello this is the 13th lecture in the semantic esser course and we will talk about some of the code language that i am actually using the thing is i have actually more than 200 algorithmic authorship rules and i usually these use rules inside my content briefs and the thing that we basically do is creating our own language model with the human authors but to be able to use these language models with the human authors you will need certain types of instructions trainings and also standardization so to be able to use these rules i will suggest you to make a little bit exercise and once we actually start to show the content briefs and once we start to create a content brief from zero you will get all these things in a better way too and if you look at the codes that i am using for instance the fs it means featured snippet which means you will need to use less than 40 words or 320 character limit actually it is around 360 character and the word count can be up to actually 50. but usually i like to keep things optimum that's why i try to train my authors to answer things directly under these thresholds in terms of word count and in terms of the character limit paa it actually means people also ask but it is not it doesn't mean that that specific question actually comes from the people also ask part it is actually for triggering it basically we try to change the questions that appear in the search engine result page with the answers that we are writing and the suggestion here or in the instruction or the rule here that tells that you should give a definitive answer in a single sentence basically you have to be certain and you have to be direct there shouldn't be any kinds of need or the space for the possibilities the answer should be certain and direct when it comes to the anchor text which means that from that word we will be linking to a certain type of related article or hashtag or sorry hash identifier which is a subsection of the url with the jump links listing means that we will use different types of listings there are instruction lists there are keyword lists or comparison lists and basically it means that we will be using an html list in the ordered or unordered form and definitive answer means that we will be giving a long form mentioning answer so long for mentioning answer means that we will need to be using all the qualifiers signifiers of the entity while mentioning all the concepts connections we will be explaining everything actually by giving all the definitions as much as possible when you look at these specific quotation marks here it means that actually include this term by protecting context let's say you use chat gbt and there actually you can tell that include these these these words closer to each other while answering this question so basically we were doing this over the actually like four or five years with the humans we were always telling humans that include this word together this word with this context with these word seconds and i won't go in so deep because these are just the fundamental lectures but basically seconds modeling is something that you can use if you are fine tuning your own language models or if you are creating your own large language models by using some open source models you should always understand that you can actually affect the context by including different types of words with different types of word sequences in the article brief creation section we will see it in a better way we usually have as i say over 200 rules but these six are just the fundamental basic ones that i start with and the content briefs you will actually see even more but always understand that you will need to include that specific term with that specific context by protecting the context by connecting everything to the heating and heating back to the actually your title tag and title tag will be connected to your topical map which is connected to your source context thank you