How to use GPT for search term optimization
Posted: Wed Feb 12, 2025 4:55 am
Once ad groups are launched, data will begin to be collected, such as what search terms your ads were showing for.
Now we can use this data for optimization. The problem peru mobile database with search terms is that there can be a lot of them and manually crawling them can be tedious and time-consuming.
So I asked ChatGPT if they could take all of my search terms for an ad group and rank them by relevance. ChatGPT considers some search terms more relevant, some less so.
This helped me a lot when coming up with negative keyword ideas . I was able to focus my attention on the lower part of the relevance list, where the terms were actually more likely to be less relevant to what the landing page was offering. It’s by no means a perfect solution, but it’s definitely helpful for busy marketers.
How to use GPT to create PPC audiences
Audiences are another important lever for PPC targeting. For example, Performance Max and Search campaigns can be optimized by attaching audiences to them.
So next I tried using GPT to build audiences. Advertisers should focus on their own first-party audience data, but there are ways to use GPT when first-party data isn't available.
Here, I used ChatGPT just as I might use a research assistant .
I asked him what kinds of things a certain type of consumer might be interested in, and then I asked him to suggest some keywords those consumers might use if they were searching for something.
The keywords that ChatGPT suggested can then be used to create a custom audience segment in Google Ads.
How to use ChatGPT to optimize landing page relevance
As more and more campaigns become automated in search engine advertising, one thing advertisers seem to struggle with is understanding why ads are showing on seemingly irrelevant search terms.
Dynamic Search Ads (DSA) and Performance Max campaigns use a site's web pages to determine relevant search terms that should trigger an ad.
So I asked ChatGPT to tell me what they thought the pages on my site were about. If some of the answers seemed too loosely related to what I sell, it might give me ideas on how to optimize those pages with text that was more relevant to our core business.
Tips and tricks for ChatGPT
As you may have noticed, GPT responses come in a variety of formats, from paragraphs to bulleted text, code, and tabular data. You can request the type of response you want and not leave it to chance.
Specify the question: If you have a specific question or request, be as specific as possible. This will help the model better understand what you expect from it.
Limit the scope: If you want an accurate and useful answer, limit the length of the input. The model is best able to respond to short and clearly formulated questions.
Experiment with rewording: If you don't understand the first answer, try rewording the question. Sometimes changing the wording can yield a better answer.
Provide context: If you have a complex question, you can provide some context to make it clear what you're talking about. This can help the model better understand the situation.
Use instructions: It depends on the specific case, but sometimes you can give the model instructions on which direction to go, such as "using step-by-step" or "use simple explanations."
Use system tags: System tags such as [MASK], [PAD], [UNK], [SEP] can have specific meaning in the input and help the model better understand your query.
Verify information: ChatGPT is a powerful tool, but it doesn't always have enough contextual knowledge or up-to-date information. If something is important, it's better to verify it with trusted sources.
Be patient: The ChatGPT model is constantly learning from many different sources and its output can improve over time. If you don't get an ideal answer at some point, try again or wait for updates.
Now we can use this data for optimization. The problem peru mobile database with search terms is that there can be a lot of them and manually crawling them can be tedious and time-consuming.
So I asked ChatGPT if they could take all of my search terms for an ad group and rank them by relevance. ChatGPT considers some search terms more relevant, some less so.
This helped me a lot when coming up with negative keyword ideas . I was able to focus my attention on the lower part of the relevance list, where the terms were actually more likely to be less relevant to what the landing page was offering. It’s by no means a perfect solution, but it’s definitely helpful for busy marketers.
How to use GPT to create PPC audiences
Audiences are another important lever for PPC targeting. For example, Performance Max and Search campaigns can be optimized by attaching audiences to them.
So next I tried using GPT to build audiences. Advertisers should focus on their own first-party audience data, but there are ways to use GPT when first-party data isn't available.
Here, I used ChatGPT just as I might use a research assistant .
I asked him what kinds of things a certain type of consumer might be interested in, and then I asked him to suggest some keywords those consumers might use if they were searching for something.
The keywords that ChatGPT suggested can then be used to create a custom audience segment in Google Ads.
How to use ChatGPT to optimize landing page relevance
As more and more campaigns become automated in search engine advertising, one thing advertisers seem to struggle with is understanding why ads are showing on seemingly irrelevant search terms.
Dynamic Search Ads (DSA) and Performance Max campaigns use a site's web pages to determine relevant search terms that should trigger an ad.
So I asked ChatGPT to tell me what they thought the pages on my site were about. If some of the answers seemed too loosely related to what I sell, it might give me ideas on how to optimize those pages with text that was more relevant to our core business.
Tips and tricks for ChatGPT
As you may have noticed, GPT responses come in a variety of formats, from paragraphs to bulleted text, code, and tabular data. You can request the type of response you want and not leave it to chance.
Specify the question: If you have a specific question or request, be as specific as possible. This will help the model better understand what you expect from it.
Limit the scope: If you want an accurate and useful answer, limit the length of the input. The model is best able to respond to short and clearly formulated questions.
Experiment with rewording: If you don't understand the first answer, try rewording the question. Sometimes changing the wording can yield a better answer.
Provide context: If you have a complex question, you can provide some context to make it clear what you're talking about. This can help the model better understand the situation.
Use instructions: It depends on the specific case, but sometimes you can give the model instructions on which direction to go, such as "using step-by-step" or "use simple explanations."
Use system tags: System tags such as [MASK], [PAD], [UNK], [SEP] can have specific meaning in the input and help the model better understand your query.
Verify information: ChatGPT is a powerful tool, but it doesn't always have enough contextual knowledge or up-to-date information. If something is important, it's better to verify it with trusted sources.
Be patient: The ChatGPT model is constantly learning from many different sources and its output can improve over time. If you don't get an ideal answer at some point, try again or wait for updates.