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見出し画像

[Fully Automated] SEO Article Generation Tool | Python code file where AI handles everything from competitor analysis to structure and article generation

SEO article automation tool built with SerpAPI + OpenAI | Includes competitor analysis logs

You cannot win with SEO articles using AI alone

Recently, I often see methods for "mass-producing SEO articles with AI."

Certainly, using AI has made the act of writing articles easier.

However, what is truly important for SEO is not writing the text.

What is important is

  • originality

  • expertise

  • authority

  • your own strengths

.

In other words, content that only your company can write is the most important thing for SEO.


The problem with AI articles

When you write articles using only AI, they tend to become like this:

  • content that is everywhere

  • the same structure as competitors

  • no differentiation

In other words, articles that cannot win in SEO.


But competitor analysis is a hassle

The part that takes the most time when writing SEO articles is competitor analysis.

For example

  • reading top-ranking Google search articles

  • checking headings

  • organizing the structure

  • This work alone takes 30 minutes to an hour.

This task alone takes 30 minutes to an hour.


The tool I created for this

This tool automates only the competitor analysis. What it does is simple.

キーワード入力
↓
Google検索
↓
競合記事取得
↓
見出し構造分析
↓
SEO記事構成作成

In other words, it automates everything from competitor analysis to outline design.


This tool is not an 'AI that writes articles' but an 'AI that designs editing'.

The feature of this tool is
not to have AI write the article, but to have it perform SEO design..

Many AI writing tools are

キーワード → AIが記事を書く

structured like this.

However, with this method,
it is inevitable that similar articles tend to be mass-produced.

Therefore, with this tool,
the prerequisites before writing the article are set in detail on the code side..


For example, I pass these kinds of prerequisites to the AI

Before designing the article, for example, you can pre-set the following information in the code.

想定読者
- ナショナルクライアントのマーケ責任者
- 広告代理店のプランナー
- ブランド担当者
- 新しい動画施策を検討している企業担当者

読者の悩み
- 若年層に届く施策をやりたいが、安っぽく見せたくない
- 動画施策が刈り取りだけで終わるのを避けたい
- バズだけではなくブランド資産につなげたい
- 制作会社の違いが分かりにくい
- 相談するなら、単なる制作会社ではなく戦略理解のある相手にしたい

事業の強み
- CMクオリティの映像美
- IP化ノウハウ
- 若年層理解
- リアル動員力

By setting this

the AI

  • knows who the article is for

  • What kind of problems it solves

  • What kind of strengths should be leveraged

With an understanding of SEO article design can be performed, resulting in a design with a certain degree of uniqueness rather than completely mass-produced articles.


However, this is where the AI's role ends.

At the current stage,

  • competitor analysis

  • search intent organization

  • SEO structure

  • article design

are left to the AI.

On the other hand, I believe the following parts
are better written by humans.

  • actual experience

  • unique know-how

  • field insights

  • concrete examples


Benefits of this tool

1. Automate competitor analysis

Using SerpAPI to

  • top-ranking Google articles

  • heading structure

  • Main text

is retrieved.

In other words,
SEO competitor research is automated.


(2) AI creates the structure design

Using the OpenAI API,

  • SEO title

  • article structure

  • differentiation points

are generated.

In other words,
the framework of an SEO article can be created automatically.


(3) Uniqueness can be set

With this tool, before designing the article,

  • target audience

  • reader pain points

  • business strengths

and more can be set in the code.

For example,

target audience

  • marketing manager at a national client

  • planner at an advertising agency

  • Brand Manager

Reader's pain points

  • Want to implement measures that reach the younger generation without looking cheap

  • Want to avoid video initiatives that only result in harvesting

Business strengths

  • CM-quality visual beauty

  • IP development know-how

  • Understanding of the younger generation

By setting these premises,

AI

  • who the article is for

  • what problems it solves

  • what strengths should be leveraged

understands these points and then designs the SEO article.

In other words, it can compensate for the 'lack of originality' which is a weakness of AI articles.


(4) Logs are saved

With this tool,

  • competitors.txt

  • heading_analysis.md

  • seo_blueprint.json

is generated.

In other words,

  • competitor articles

  • heading analysis

  • SEO structure

everything is saved as a log.

This is
also quite useful as an SEO analysis tool.


The true value of this tool

This tool is

not just a tool for writing SEO articles.

clearly separating the parts that humans should think about is the main point.


SEO in the AI era

SEO in the AI era is

AI → 分析
人 → 独自コンテンツ

I believe it will be divided like this.

AI excels at competitor analysis and structure design.

However,

  • unique insights

  • experience

  • business strengths

can only be written by humans.


Summary

This tool is a tool that automates competitor analysis to create time for human thinking.

It is a tool for dividing roles between AI and humans rather than leaving everything to AI.


From here on, I will explain:

  • The tool's Python code

  • Setup instructions

  • How to use it

It is still in beta as I continue to improve quality and expand features, so I have set it at a trial price.

ここから先は

7,882字 / 1画像 / 1ファイル

¥ 2,200

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