Create unique Google with ChatGPT
Search and store tool for Chat GPT Prompt
Create unique and engaging Google with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
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Create Google Ad Scripts with ChatGPT
"Product: [detail of your product] Provide me a Google ads script that checks the search term report daily and marks all keywords I am not bidding on a negative keyword"
Create CTAs with ChatGPT
"Product: [detail of your product] List some compelling call to action phrases for my Google ads"
Create a list of in-market audience segments with ChatGPT
"Product: [detail of your product] What Google Ads in-market audience segments should I target for my product above?"
Create structured snippets with ChatGPT
"Product: [detail of your product] Create 2 Google Ads Structured Snippets. Each snippet should have 5 values. Each value should be no longer than 15 characters The format should be Type: Value 1, Value 2, etc."
Create call out extensions with ChatGPT
"Product: [detail of your product] Create 10 Google Ads Call Out extensions with no more than twenty five characters each."
Create sitelink ad extensions with ChatGPT
"Product: [detail of your product] Create 4 Google ads sitelink extensions with suggested URLs. Each site link should have title with no more than 30 characters. Each site link should have 2 descriptions with no more than 25 characters each."
Create responsive search ads with ChatGPT
"Product: [detail of your product] Create a Google Responsive search ad for my product above. Create 5 unique headlines with no more than 30 characters. Create 4 descriptions with no more than 90 characters"
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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.”


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.