Create unique search engine ranking with ChatGPT
Search and store tool for Chat GPT Prompt
Create unique and engaging search engine ranking with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
7 Advanced ChatGPT Prompts: Review search engine rankings
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72 Advanced ChatGPT Prompts: AI and Machine Learning in SEO
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51 Innovative ChatGPT Prompts: Semantic SEO
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100 Innovative ChatGPT Prompts: 301 Redirects and Other HTTP Status Codes
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Develop an SEO Strategy to Improve Search Engine Rankings with ChatGPT
Act as a growth hacker and develop an SEO strategy that includes keyword research and on-page optimization to improve the website's search engine ranking. {SEO strategy}
How Chat GPT Helped a Client Improve Search Engine Rankings: A Case Study
Create a case study detailing how Chat GPT assisted a client in improving their search engine rankings.
Comprehensive SEO Audit and Improvement Recommendations for Your Website or Page
Can you perform a comprehensive SEO audit of my [website/page] and provide recommendations for how I can improve its ranking on search engines?
Link Building: A Strategy to Improve Domain Authority and Search Engine Ranking
How can I use link building to improve my website's domain authority and increase its ranking on search engines?
Optimizing Website Load Time Techniques to Enhance User Experience and Search Engine Rankings
Recommend [number] techniques for optimizing the load time of our agency's website to enhance user experience and improve search engine rankings. Context: Target audience — [your target audience here] Current website load time — [describe current website load time here] Desired load time outcomes — [your desired outcomes here] Inspiration: "[load time optimization inspiration one...
Creating a Case Study Detailing How Chat GPT Assisted a Client in Improving Their Search Engine Rankings
Create a case study detailing how Chat GPT assisted a client in improving their search engine rankings.
What is “prompt engineering”?
A “prompt” is the input that guides a generative AI model to generate useful outputs. Generative AI tools like ChatGPT, GPT, DALL·E 2, Stable Diffusion, Midjourney, etc. all require prompting as their input.
In a natural language processing (NLP) context, “prompt engineering” is the process of discovering inputs that yield desirable or useful results. As is the story with any processes, better inputs yield better outputs; or commonly said another way “garbage in, garbage out.”
![Source: https://www.youtube.com/watch?v=1NQWJjgi-_k
Designing effective and efficient prompts will increase the likelihood of receiving a response that is both favorable and contextual. With a good prompt, you can spend less time editing content and more time generating it.
Going from beginner → advanced prompt engineer
As companies like PromptBase arise around the idea that the prompt is the “secret sauce” to using generative AI, prompt engineering could easily become the “career of the future.” But, any generative AI user can become an “advanced” prompt engineer. Here’s how
Spend time with the tools
- The more time you spend asking ChatGPT questions and receiving responses, the better your idea will be of various prompting approaches and their individual strengths and weaknesses
- Use Open AI’s GPT playground to perform interactive trial and error with variations in your prompt, model, temperature and top_p values (uniqueness of answer, i.e. creativity), and more available within the UI itself.
Become a prompt researcher instead of engineer
- If you’re already a subject matter expert in something, consider figuring out how to apply your personal skills to generating the best prompts in your field
- For example, if you’re an expert in SEO, what questions do you ask yourself when creating SEO strategies? How can you translate this knowledge into better prompts to generate the same level of output with AI?
Become a prompt researcher instead of engineer
- The term prompt engineer glosses over the idea that prompt formulation takes hypothesizing, research, result measurement, and repetition. Instead, approach prompting like a research project.
- Try as many different variations and formulations of your prompt as possible. One problem can have hundreds of solutions and one solution can have hundreds of approaches. The same can be said of prompting.