AI keyword (subject) analysis (original) (raw)

Related: #108

Currently, focus keyword analysis is fundamentally flawed as a concept.

You need a focus subject, not a focus keyword.

[...]

It’s all about basic paper writing: You have a title, an intro (focusing on the title), the subject (explaining the intro, leading to the conclusion) and then the conclusion (referring back to the intro and title). All should contain the focus keyword without thinking about it.

The issue is that the named system doesn’t work anymore since synonyms are considered:
architects, architect, architectural, architecture, architect office, architectural firm

We need to improve that. So, let me introduce you to "the system"...

The system

Let's call the parser "the system". This is still an abstract flow put into words:

Step 1

To counter that flaw, and to slightly give way to a subject, you:

  1. Enter a keyword.
  2. Enter synonyms for the keywords (teach the system).
  3. Repeat 1. and 2. until you've covered your subject.

Alternatively, give (a) common sentence(s) to be filled in:

  1. ["subject"] is about ["this"], ["that"], and ["such"].
    a) Example: ["Ferarri"] is about ["cars"], ["performance"], and ["style"].
  2. Each word filled in allows for synonyms.
    a) Ferrari -> "" (brands often don't have synonyms)
    b) Cars -> "automobiles", "vehicles", "motors"
    c) Performance -> "speed", "mph"
    d) Style -> "beautiful", "glamour"

Step 2

The system analyzes

  1. The system gives you hints whether the subject has been parsed within the content.
  2. Repeat 1. on any change. With slightly buffered intervals (buffer gets exponentially larger as the content does).

Step 3

The system tests

  1. After a while, the system can (i.e. Monitor?) test whether the page is ranking for the subject.
  2. The system will give you results.

Alternatively, use Google Search Console API

  1. The system fetches data through Google Search Console - Search Analytics.
  2. The system checks for the subject on whether it has ranked based on position.

Step 4

The system feeds back

  1. After enough subjects have been covered, Google's Search Console should give you a good list of matching queries.
  2. Those queries can be ranked by CTR, and then fed back to the system to suggest new subjects.
  3. Then you can perform "Step 1" with more confidence.