Still manually writing ad copy and managing Google Ads? You’re missing out on a huge opportunity.
The ChatGPT API can take over repetitive tasks like generating ad copy, cleaning up search terms, and analyzing performance. This allows you to focus on strategy and boosting results.
88% of marketers say AI has significantly improved their customer personalization efforts, leading to better engagement and conversions. With AI like ChatGPT, you can automate and personalize your ad workflows smarter than ever.
In this guide, you’ll learn how to set up the ChatGPT API for Google Ads, choose the right AI agent, and apply best practices to boost performance. Plus, get instant results with ready-to-use ChatGPT prompts!
What is the ChatGPT API?
The ChatGPT API allows developers to integrate OpenAI’s language models, like GPT-4, GPT-4 Turbo, and GPT-4o, into their applications. It enables apps to understand and generate human-like text for tasks such as answering questions, creating content, and more.
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How to Create Google Ads Workflows Using ChatGPT API [Video Tutorial]
Here’s a quick video tutorial that shows you how to set up smart Google Ads workflows using the ChatGPT API, step by step.
How to Use the ChatGPT API for Automating Google Ads Workflow
Follow these steps to get started with the ChatGPT API and seamlessly automate your Google Ads tasks. Each step includes my recommendation for a smoother setup.
- Get Access to the ChatGPT API
- Choose Where to Use the API
- Call the ChatGPT API in Google Sheets
- Optimize Efficiency
Step 1: Get Access to the ChatGPT API
To start, you’ll need access to the OpenAI API to work with ChatGPT. It’s essentially ChatGPT, but you can use it within your tools and scripts to automate tasks.
How to get started:
- Go to platform.openai.com/signup.
- Sign up and create your API key.
- Go to “API Keys” and click “Create new secret key.”
- Store your key securely (you won’t be able to view it again).
Understanding API Costs and Budgeting for Testing: The ChatGPT API is pay-as-you-go. As of writing, GPT-4o (the fastest and most cost-effective model) costs:
- $0.005 per 1,000 input tokens
- $0.015 per 1,000 output tokens
1,000 tokens is roughly 750 words of input/output combined. Most simple prompts cost less than $0.01 per call.
Step 2: Choose Where to Use the API
Selecting the right environment to interact with the API is key to streamlining your workflow. Whether you’re a beginner or have more experience, there’s a tool suited for you. Here’s a simple guide to help you choose:
- Google Apps Script: Perfect for beginners! If you’re working with Google Sheets for reporting or making small feed edits, Apps Script is easy to learn and get started with. It integrates seamlessly into your existing Sheets workflow.
- Python: Ideal for intermediate users. If you need to perform more advanced tasks like audits, data processing, or complex report generation, Python offers the flexibility and power you need.
- Node.js: Best for advanced users. If you’re building web apps, dashboards, or working with large-scale asynchronous tasks, Node.js is the go-to for its speed and versatility.
- Zapier: The no-code option for beginners. If you’re looking for easy, automated integrations with minimal setup, Zapier lets you integrate GPT with other tools without writing a single line of code.
Step 3: Call the ChatGPT API in Google Sheets
Once your API key and tools are ready, you can now connect Google Sheets with ChatGPT. This allows you to run AI-powered tasks like analyzing ad data or generating copy directly inside your spreadsheet.
Here’s a Google Apps Script example you can paste into the Script Editor:
// Function to call ChatGPT from Google Sheets function callChatGPT(prompt) { const apiKey = 'sk-...'; // Replace with your actual API key const url = 'https://api.openai.com/v1/chat/completions'; const payload = { model: 'gpt-4o', messages: [ { role: 'system', content: 'You are a Google Ads expert.' }, { role: 'user', content: prompt } ], temperature: 0.3 }; const options = { method: 'post', contentType: 'application/json', headers: { Authorization: 'Bearer ' + apiKey }, payload: JSON.stringify(payload) }; const response = UrlFetchApp.fetch(url, options); const json = JSON.parse(response.getContentText()); return json.choices[0].message.content; }
How to Use It in Your Sheet
In any cell, you can now use this formula to run a ChatGPT prompt:
=callChatGPT("Analyze Nike’s top 50 non-converting search terms from Performance Max")
Step 4: Optimize Efficiency
To save time and money, it is important to process multiple tasks at once and get consistent responses.
Here’s how you can do it:
- Batch your tasks: Instead of processing one search term at a time, group 10-20 together in one request to save time.
- Give clear instructions: Tell GPT exactly what you want, such as, “You are a PPC expert for Nike.”
- Lower the temperature (0-0.3): This helps make responses more accurate and consistent, avoiding errors.
- Control the length of responses: Be specific about what you need, like asking for bullet points or a set number of words.
- Test with messy data: Run some disorganized inputs through GPT to see how it handles them.
Use Case Examples: How ChatGPT Automation Might Work in Practice
These are just hypothetical examples, but they’ll give you a good idea of how automation can help brands improve results and save time.
How TrailFlex Could Improve Shopping Titles with GPT-4o
TrailFlex, a fictional outdoor gear brand, noticed their product titles were too vague. One product was simply called “Explorer X1,” which didn’t help customers understand its value.
With GPT-4o, they rewrote it to something more helpful like: “Waterproof Hiking Backpack for Long Treks | TrailFlex Explorer X1.” This made the product easier to find and boosted both clicks and conversions.
How TrailFlex Could Speed Up Google Ads Audits
TrailFlex was running several ad campaigns, and keeping track of issues manually was slowing them down. Problems like low keyword quality or broken URLs were often missed.
With GPT-4o connected to the Google Ads API, it became easier to catch things like missing branded terms or poor mobile performance. This helped them fix campaigns quickly and stay on track with their goals.
🎯 Ready-to-Use ChatGPT Prompts for Instant Google Ads Results
What Are the Best Practices for Integrating ChatGPT with Google Ads?
Here are the seven best practices you must try to integrate ChatGPT with Google Ads:
- Set Clear Goals: Before using ChatGPT, think about what you want to do with your ads. Do you want more people to click on them or buy something? Once you know, make sure ChatGPT helps you do exactly that, like writing ads or picking the right words to show.
- Give ChatGPT Good Instructions: Tell ChatGPT what you want. Give it the important words, a description of your business, and who you want to reach. This way, ChatGPT can write ads that make sense and will work well.
- Let ChatGPT Do the Repetitive Stuff: You can use ChatGPT to write lots of ads quickly. It can also help pick the right words to use or choose which ads will get the most clicks. But, make sure to keep an eye on it to make sure it’s working well.
- Keep Your Ads True to Your Brand: Make sure the ads ChatGPT creates sound like your brand. If your brand has a fun voice or a professional one, make sure ChatGPT uses the same style. Also, make sure the ads are relevant to what people are looking for.
- Keep Things Secure: When connecting ChatGPT to your Google Ads, use the official tools. Make sure your account information stays safe by keeping it private and using good security practices.
- Use Smart Ads and Scripts: You can use ChatGPT to help manage ads that change automatically. ChatGPT can make new ads, find the best ones, and help improve them. It can also track how well the ads are doing and make changes as needed.
- Keep Testing and Improving: Test different ads to see which ones people like the most. ChatGPT can help you understand the results and suggest ways to make your ads even better.
Which AI Agent Should You Use for Google Ads Automation?
Choosing the right AI agent can make a huge difference in how efficiently you automate your Google Ads workflow. Different AI models bring different strengths to the table. Here is a quick comparison to help you pick the best one:
AI Model | Hidden Power | Why Use It for Ads? |
ChatGPT-4o | Supports longer, more structured outputs with custom temperature settings | Best for generating bulk ad copies, cleaning messy ad data, and producing consistent messaging across campaigns |
Perplexity AI | Integrates fast with live data lookups, pulling real-time trends and insights | Best for finding trending search queries, generating audience targeting ideas, and staying ahead with fresh campaign inputs |
Gemini 1.5 Pro | Summarizes multiple campaign metrics and recommends smart bidding strategies | Great for performance analysis, identifying wasted spend, and managing multi-account audits effortlessly |
- If you want cleaner, brand-consistent content, go for ChatGPT-4o
- If you want instant access to live search trends, explore Perplexity AI
- If you want actionable insights and bidding recommendations, test Gemini 1.5 Pro
Why You Should Understand ChatGPT API Pricing?
Why You Should Understand ChatGPT API Pricing
Knowing the pricing of AI models, like ChatGPT, helps you make smart choices for your digital marketing efforts. By understanding the costs, you can:
- Optimize your budget by choosing the right model for your needs.
- Maximize ad campaign performance without overspending.
- Allocate resources efficiently based on cost and output.
How Professionals Are Using ChatGPT for Google Ads and Analytics?
Many professionals across Reddit and Quora have shared their experiences using ChatGPT in the world of Google Ads and Analytics. Here’s a quick overview of what people are discussing in each thread:
Reddit Thread: ChatGPT and AI as a Google Ads Expert
As per Reddit users, ChatGPT is mostly used for brainstorming keyword ideas and drafting ad copy, but it doesn’t replace real keyword research tools. Many users argue it’s good for generating ideas but lacks accuracy since it doesn’t access live search data.
Some use it for role-playing ideal customer profiles (ICP) and task prioritization. Overall, Redditors believe it’s a useful assistant for inspiration, but not reliable for actual campaign strategy or targeting.
Reddit Thread: Data Analysts using ChatGPT and APIs
As per Reddit users in this thread, ChatGPT is helping data analysts by writing Python scripts that automate data pulling from Google Ads and Analytics APIs. They shared that it saves a lot of manual effort and improves reporting efficiency.
Instead of focusing on creative tasks, people here are excited about automation and technical enhancements. Overall, the sentiment is highly positive, highlighting time-saving benefits.
Quora Thread: Using ChatGPT for Google Ads Creation
As per Quora users, ChatGPT is mainly seen as a tool to generate ad copy ideas, find long-tail keywords, and brainstorm targeting strategies for Google Ads. However, it cannot directly create or manage campaigns.
Many users agree it’s great for content creation and rough drafts, but final outputs still need manual review and optimization. Overall, the tone on Quora is optimistic, seeing ChatGPT as a support tool, not a full solution.
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FAQs
Is ChatGPT API free?
Is it legal to use ChatGPT API?
What is the difference between ChatGPT and ChatGPT API?
What does API mean in AI?
Can I use ChatGPT API, Perplexity, and Gemini together for Google Ads?
How does ChatGPT API pricing compare to Gemini Pro API for Google Ads workflows?
Final Thoughts
Using the ChatGPT API for Google Ads is a smart way to save time and boost results. It automates key tasks like ad copywriting, keyword research, and campaign analysis, helping you focus more on strategy and scaling. Smart marketers are now relying on AI workflows to stay competitive and drive faster growth.
If you are using the ChatGPT API for your Google Ads or planning to try it, I would love to hear your thoughts. Have you seen any improvements or what results are you aiming for Share your experience in the comments so we can learn from each other.