SEO

Super SEO Optimized Human-Written Long Detailed Blog Post

Create a comprehensive, plagiarism-free SEO article of over 2000 words on the topic PROMPT with keyword KEYWORD. The article should be written in fluent TARGETLANGUAGE using simple, natural English, featuring keyword-rich headings, engaging introduction, detailed subh

15 steps 3 variables English

Prompt template

Run these steps in order.

01
Act as a professional SEO copywriter fluent in TARGETLANGUAGE.
02
Research the topic PROMPT and keyword KEYWORD using the latest data and information.
03
Write a minimum 2000-word long-form article in active voice using simple, natural English with idioms, contractions, and colloquialisms.
04
Create an SEO-friendly, eye-catching, and engaging main heading based on PROMPT and keywords, formatted in bold.
05
Include more than 5 long-tail keywords aligned with human search intent.
06
Write an SEO-friendly meta description between 155 and 160 characters.
07
Write an engaging introduction of more than 200 words incorporating keywords and the topic.
08
Develop multiple detailed and SEO-friendly subheadings (H2 to H6) with bold formatting and keyword-rich titles.
09
For each heading, write unique, in-depth, plagiarism-free content maintaining 2%-3.5% keyword density using relevant semantic keywords.
10
Apply the AIDA formula throughout to ensure the article is persuasive and engaging.
11
Generate more than 5 frequently asked questions using the keywords and topic reflecting human search intent.
12
Provide SEO-friendly, concise answers to each question using keywords and related terms.
13
Write an SEO-friendly conclusion summarizing the headings and keywords with an engaging ending.
14
Ensure the article avoids filler phrases, grammar mistakes, and unnatural sentence structures.
15
Place underscore characters '_' at the ends of paragraphs and mid-sentences as specified.

Prompt library

Use these prompts directly inside ChatGPT.

Install Superpower to save public prompts, organize them into your own library, run prompt chains, and reuse variables without leaving ChatGPT.