Auto-GPT vs ChatGPT: Brace Yourself for The New AI SEO Era

You were probably fascinated (or worried) when AI assistants like ChatGPT came around. With so many tools based on large language models such as GPT, they are quite accessible and easy to use and get good results, provided that you keep feeding them data and prompts for every task.

However, what viewers of Star Trek would expect of AI would be to be able to handle EVERYTHING on its own. Now, although it is quite daunting to have an app making decisions for you and buying things with your credit card, this is what the next kid in the AI town strives for – Auto-GPT.

Still, website development and maintenance are services that bots cannot do autonomously. They lack capabilities like creativity, humor, and the nuances you can only notice if you have a real conversation with a person. Planning on having a professionally built website that will make users convert into clients? Then place your bets on the most popular CMS and partner up with a good WordPress agency that stays on top of all technology and marketing trends and will do what’s best for your business.

That said, developments like ChatGPT and Auto-GPT are indeed revolutionary but need a skilled team of individuals operating them. More on how they work in the guide below. Enjoy!

How Did ChatGPT Come About?

ChatGPT is a product that emerged from OpenAI’s ongoing research and development efforts in the field of natural language processing (NLP) and artificial intelligence (AI). It was released as a demo on November 22, 2022. OpenAI, a leading AI research organization, introduced ChatGPT as an extension of the GPT (Generative Pre-trained Transformer) framework.

The development of ChatGPT builds upon the success and advancements achieved with earlier iterations of the GPT model. In fact, GPT-1 was released as early as 2018. The GPT models were designed to understand and generate human-like text based on large-scale training with vast amounts of internet data. This training enabled the model to learn grammar, semantics, and contextual patterns.

OpenAI recognized the potential for GPT models to be used in conversational settings and undertook further research and fine-tuning to create ChatGPT. This process involved training the model using reinforcement learning from human feedback (RLHF). Initially, human AI trainers engaged in conversations and provided model-generated responses along with ranking them for quality. These interactions were then used to fine-tune the model through an iterative process, improving its conversational capabilities over time.

Through continuous research, development, and feedback from users, OpenAI refined and iterated upon ChatGPT to enhance its understanding, responsiveness, and ability to generate coherent and contextually appropriate responses. The aim was to create an AI model that could engage in meaningful and useful conversations, providing valuable assistance and information to users.

The development of ChatGPT represents a significant milestone in the evolution of AI-driven conversational agents. It showcases the progress made in natural language understanding and generation, enabling ChatGPT to engage in human-like interactions and assist users in various tasks and inquiries.

What Is Auto-GPT?

Auto-GPT is the next level of AI – it requires as little human intervention as you can get. It is the first AGI (artificial general intelligence)-based experimental framework.

Although it works similarly to ChatGPT, it can self-prompt and function autonomously, making the necessary decisions to complete a task. It is open-source, built on GPT-4 and can write its own code by creating and customizing its own AI agents without the need to receive human prompts along the way.

Unlike ChatGPT which is a chatbot that you can access from your browser, Auto-GPT requires a specific set of software and some knowledge of Python.

Auto-GPT vs ChatGPT: Key Differences

The main difference between Auto-GPT and ChatGPT is accessibility. AutoGPT needs to be installed alongside software like Python 3.8, an OpenAI API key, a PINECONE API key, and an ElevenLabs Key. On the contrary, working with ChatGPT requires little to none technical knowledge and you can operate with it from any Internet browser.

Another key difference is the human involvement in the process. With Auto-GPT, all you need to do is submit a set of rules and pre-defined goals, and watch it go. Of course, it will prompt you for permission after each step.

The two AI frameworks also differ in the way they function and access to other applications. ChatGPT needs constant prompts and guidance from you to generate a good result. Auto-GPT pairs GPT with a companion robot that instructs the language on what actions to take. Its agents can then access the Internet and perform actions with other applications on your behalf.

For example, if you need to plan a company birthday party and use ChatGPT, you need to keep asking for every next step. If you work with Auto-GPT, the tool will plan out and perform the necessary actions – like book a venue, order a cake, send invitations to the guests etc. In a way, it is more like a personal assistant.

ChatGPT and Auto-GPT also differ on the training data they use to operate.

The database of ChatGPT consists of online content such as blog articles, social media posts, books, etc. It is more well-versed in natural, human-level conversations which is extremely important in the creator economy.

Auto-GPT uses data from code repositories such as StackOverflow, GitHub, BitBucket etc. It is good at understanding code syntax in different programming languages but its outputs are more automatic and “robot-like” outputs.

Another key factor that strikes a line between ChatGPT and AutoGPT is affordability. You can use ChatGPT for free, but it uses the language GPT-3.5. In order to use AutoGPT, you need to subscribe to the upgraded version that operates with GPT-4, which costs $20 per month.

How Can You Get Access To Auto-GPT?

Auto-GPT is still under development so it is not as easily available as its predecessor.

To download and use Auto-GPT, you need to follow these steps:

  1. Install Python 3.8 or later and VS Code on your computer, and download the Auto-GPT executable from GitHub.
  2. Register on OpenAI to create an account that is different from the one you use for ChatGPT. This is so you get access to the OpenAI API.
  3. Once you’ve configured Auto-GPT, install the required dependencies in a new terminal.

Once you’ve set up Auto-GPT, you can start benefiting from its features.

How Does Auto-GPT Work?

Auto-GPT operates on an independent three-agent AI mechanism that breaks down tasks into multiple sub-tasks and employs various AI agents to fulfill them autonomously, without user intervention. These agents encompass:

Task Creation Agent. This agent initiates the task process by engaging with the user and creating a task list aligned with the user’s objectives. It outlines the necessary steps to accomplish the goals and forwards the list to the prioritization agent.

Task Prioritization Agent. Upon receiving the task list, this agent ensures the logical sequencing of the sub-tasks and forwards the organized list to the execution agent.

Task Execution Agent. Once the sub-task priority is established, the execution agent systematically carries out the tasks. It utilizes internet resources, GPT-4, and other relevant tools to complete each sub-task.

These three agents maintain communication to address incomplete tasks. For instance, if the execution agent completes the assigned steps but the outcome does not meet expectations, it communicates with the task creation agent. In response, the task creation agent generates a new list of tasks to fulfill the ultimate objective. This interactive loop continues until the agents collectively generate the desired output as defined by the user.

The collaborative efforts of these agents within Auto-GPT facilitate task breakdown, organization, and execution, leading to effective and adaptive task completion.


You can use AutoGPT for all steps a good SEO strategy requires – keywords research, content planning, idea generation, and writing drafts.

Based on your target audience and the specific SEO goals you’d like to achieve, you can submit them in Auto-GPT and let it generate the best keywords in your niche to rank fr, along with all steps necessary to achieve improvement.

You can utilize the research capabilities AutoGPT has and get to know your key demographics and what content types resonate with them. Also, it has a trend analysis tool that can help you identify trending topics within your industry.

It can assist you with writing full articles in a simplified, digestible way. In addition, you can use it to fine-tune it as it gives you formatting, grammar and punctuation suggestions. And, unlike ChatGPT, it can even perform advanced actions like optimizing your content, creating visuals and tables, adding inbound and outbound links, and even publishing it according to a set schedule.

Bottom Line

As you can see, AutoGPT is the next step in the AI revolution. Although it is still at an experimental stage, it offers much more assistance than ChatGPT as it can interact with different apps on the web and perform actions independently of direct user supervision. However, bear in mind that it requires much more technical know-how and it is, after all, a machine.


The post Auto-GPT vs ChatGPT: Brace Yourself for The New AI SEO Era appeared first on Datafloq.

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