How To Use ChatGPT For SEO Better Than 99% of People

How To Use ChatGPT For SEO Better Than 99% of People

How to Use ChatGPT for SEO Effectively

Understanding the Limitations of ChatGPT in SEO

  • Many users rely on ChatGPT for keyword ideas, search volumes, and competitor analysis without realizing that it often fabricates this data.
  • The lack of access to real-time SEO data leads to ineffective strategies, causing users to struggle with ranking.

Creating Custom GPTs with Real-Time SEO Data

  • The video introduces a method to create three custom GPTs that utilize actual SEO data, enhancing their effectiveness compared to standard usage.
  • To build these custom GPTs, users need a paid account with ChatGPT and an account with a service like Data for SEO, which is more affordable than traditional tools.

Setting Up Your Accounts

  • Users are advised to sign up for Data for SEO, which operates on a pay-as-you-go model, allowing cost-effective access to necessary data.
  • After creating an account, users will receive credits that can be used efficiently since each API call costs only fractions of a cent.

Encrypting API Credentials

  • Users must obtain their API login and password from Data for SEO and encrypt them using Base64 encoding for secure integration into the custom GPT.
  • Instructions are provided on how to encode the credentials properly by combining the email and API key before encryption.

Building the First Custom GPT: SEO Researcher

  • The first custom GPT created is designed as an "SEO Researcher," capable of conducting high-quality keyword research and competitor analysis.
  • Users are guided through configuring the new GPT by enabling features such as code interpretation and creating actions linked to real-time data sources.

How to Use Custom GPT for SEO Tasks

Making API Calls

  • The process begins by selecting a random URL and making an external API call, which requires permission confirmation.
  • Instructions are provided for the custom GPT, detailing available tools and how it should assist in tasks.

Keyword Research Capabilities

  • The custom GPT is tested for its ability to conduct keyword research and competitor analysis using a specified website URL.
  • Users can request the GPT to identify keywords that the website should rank for, leveraging its access to SEO data without needing prior knowledge of specific keywords.

Data Analysis Results

  • The system returns a data-driven keyword research analysis based on live Google keyword data, highlighting low-difficulty keywords with high potential ROI.
  • Examples of suggested keywords include "how to take over a mortgage" and "cost to assume a mortgage," indicating areas where content may be lacking.

Competitor Analysis Functionality

  • After completing keyword research, the focus shifts to competitor analysis by asking the custom GPT about top competitors and their ranking keywords.
  • The tool efficiently identifies local competitors and their relevant keywords, saving significant time compared to traditional methods like Hrefs or SEM Rush.

Building Additional Custom GBT

  • Following successful completion of initial tasks, there’s an introduction to creating a second custom GBT focused on content planning.
  • This new GBT will utilize different calls within its configuration aimed at generating effective content strategies.

Custom GPT Setup and Content Optimization

Setting Up the Custom GPT

  • The process begins with copying the raw file containing necessary code to set up a custom GPT for high-quality research.
  • An API key is required, which involves pasting an encrypted code obtained earlier in the video. This step is crucial for saving the setup.
  • When creating instructions for the custom GPT, it's important to keep them under 8,000 characters. A name like "Content Planner" is suggested for this specific GPT.

Testing the Custom GPT

  • The custom GPT is tested by asking it to build a content plan based on a provided website URL, which prompts an API call for permissions.
  • After calling the SEO API, it returns insights about keyword difficulty and suggests easier alternatives that can still drive traffic effectively.
  • The tool provides a structured content architecture including target keywords and writing suggestions, significantly reducing manual effort.

Creating a Content Scorer GPT

  • The final custom GPT focuses on scoring existing content. It emphasizes updating old articles that may not be performing well in search rankings.
  • Google favors updated content; thus, this tool helps identify what needs improvement in older posts that are already indexed but underperforming.

Implementing Best Practices

  • For schema configuration, another GitHub resource is utilized to analyze content effectively. This includes pasting relevant schemas into the setup.
  • Instructions should incorporate techniques like capsule content technique to enhance citation potential by AI overviews.

Analyzing Content Performance

  • Users can input URLs of blog posts into the custom GPT to receive actionable insights on how to improve their performance based on analysis results.
  • The tool generates a content score (e.g., 62 out of 100), indicating areas needing enhancement while providing specific recommendations for improvement.
  • Suggestions include restructuring headings (H1 and H2), adding sections addressing common questions directly, and incorporating tables or FAQs for better engagement.

This markdown summary encapsulates key steps and insights from setting up and utilizing custom GTP tools aimed at enhancing SEO strategies through effective content planning and optimization.

Custom GPTs and Community Support

Building Custom GPTs

  • Users are encouraged to either create their own custom GPTs or delegate the task to someone else if they lack the technical skills.
  • For those who prefer not to build from scratch or incur API costs, joining a community is presented as an alternative solution.
  • The community offers access to pre-built custom GPTs, enhancing user experience without the need for extensive technical knowledge.

Community Benefits

  • Membership in the community includes participation in two weekly live Q&A sessions, providing direct support and interaction with experts.
  • An onboarding session is available for new members, ensuring they understand how to utilize resources effectively.
Video description

Learn to rank #1 in AI search πŸ‘‰πŸΌ https://www.skool.com/ai-ranking Most people using ChatGPT for SEO are flying blind β€” asking for keyword ideas, search volumes, and competitor analysis while ChatGPT just makes up the numbers. In this tutorial, I'll show you how to build 3 custom GPTs that connect to real-time SEO data through DataForSEO. This gives you the power of tools like Ahrefs and SEMrush at a fraction of the cost. WHAT YOU'LL BUILD: 1. **SEO Researcher GPT** β€” Keyword research + competitor analysis with live data 2. **Content Planner GPT** β€” Strategic content planning based on actual keyword difficulty 3. **Content Scorer GPT** β€” Analyze and improve existing content for better rankings ### WHY THIS WORKS: Instead of ChatGPT hallucinating SEO metrics, these GPTs pull real data from DataForSEO's API β€” the same data that powers enterprise SEO tools, but pay-as-you-go (fractions of a cent per query). RELATED VIDEOS: - Claude Code for SEO β€” https://www.youtube.com/watch?v=6REd0SJ8Q2A RESOURCES: Json Files https://github.com/dataforseo/open-ai-actions/blob/master/dataforseo_dataforseo_labs_openapi.json DataForSEO - https://dataforseo.com/?aff=182182&promo_aff=airanking Base64 Encoder β€” https://www.base64encode.org TIME STAMPS: 0:00 - Why ChatGPT fails at SEO (and how to fix it) 0:58 - What you need to get started 2:00 - Setting up your DataForSEO API credentials 3:49 - Building GPT #1: SEO Researcher (keyword research + competitor analysis) 11:53 - Building GPT #2: Content Planner 15:31 - Building GPT #3: Content Scorer 16:50 - The Capsule Content technique for AI citations 19:22 - Join the community #SEO #ChatGPT #CustomGPT #DataForSEO #AIMarketing