How to Automate SEO Tasks with ChatGPT

Search Engine Optimization(SEO) involves a lot of daily routine—from clustering the semantic core and generating metadata to planning blog topics and building content structures. The good news? These repetitive tasks can now be automated with AI.

Promodo SEO specialist Oleksandr Hetmanskyi shares how he uses ChatGPT to streamline and speed up typical SEO workflows—saving time without compromising quality.

General Tips for Using ChatGPT in SEO

1. We recommend using English to use promos, as practice shows that it is better perceived by AI.
2. Give context if the task requires it, for example, where the article you are asking to write for will be published.
3. Experiment with wording, add examples. You can get a satisfactory result the first time, provided you have or create high-quality content. However, the more AI trains and receives corrections, the fewer inaccuracies and additional edits there will be.
4. Save successful promos - they will come in handy for reuse or scaling to other projects.
5. Test different models. For example, ChatGPT and Gemini can produce very different results, and you can choose which one suits you best.

AI needs to be “pumped up” a bit, customized for itself. But the more you work with it, the better it “understands” your tasks. It's not a replacement for humans, but it's definitely a great assistant that opens up a lot of new opportunities in work.

Examples of Routine SEO Tasks You Can Optimize

Clustering the Semantic Core Based on Custom Parameters

Using AI, you can automate the process of grouping keywords to simplify further work with pages, categories, or filters on your website. As input, you can provide a semantic kernel, category URL (to extract filters and values), or just a list of ready-made parameters for clustering.

What to look for when creating a prompt:

1. Write down the task to be solved with the help of the prompt, for example, “Your task is to cluster a given semantic core”
2. Clearly write down the input data and explain it. For example:
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INPUT_PARAMETERS:
KEYWORDS: list of keys to be clustered
LIST_GROUP: is the names of the clusters by which the keywords should be clustered.
LANGUAGE: you must specify the language of the "KEYWORDS" parameter

3. Clearly define the response parameters, for example:

RESPONSE_PARAMETERS:
Tone: formal
Temperament: 1
Communication Language: English

4. If necessary, we set additional instructions, for example:

ADDITIONAL_INSTRUCTIONS: 
Do not assign all the keywords to one LIST_GROUP.
If there are words "buy" "price" in the "KEYWORDS", refer them to the "GROUP LIST" which refers to the base keyword.

5. We clearly define the rules for answering, for example:

RESPONSE_RULES: 
INPUT_PARAMETERS ask for one at a time. Ask for "KEYWORDS" first, after "LANGUAGE", after "LIST_GROUP". 
The response format is a table with KEYWORD and GROUP headings, where each "KEYWORDS" is assigned a value from "LIST_GROUP" and "ADDITIONAL_INSTRUCTIONS" are taken into account.

6. If necessary, we set examples to be taken into account. This will be useful for improving the quality of the result.

EXAMPLES:
If "KEYWORDS" has the keys "iphone 13" and "iphone 13 price", "iphone 13 buy" or plural keys, it is one "LIST_ GROUP" named "iphone 13", "KEYWORDS" in different languages should be in one "LIST_ GROUP"
Our prompt is designed to work with eCommerce semantics, so the example of its work will be for this niche. It also uses predefined cluster names.

However, you can customize the software so that the AI, for example, suggests cluster names on its own.

An Example of Prompt Creation for ChatGPT:

1. Add a list of keywords

Tip: add each keyword on a new line to avoid possible keyword mistakes. Because it can be confusing if the words are on the same line without separation.

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2. Specify the main language of our keyword list. In our case, it is Ukrainian.

3. Specify the names of the clusters on the basis of which the existing semantic kernel should be clustered.

4. Get the result in CSV format:

Result: We have clustered semantics that can be added to the table for ease of use in the future.

Generating Metadata

For pages to rank better, it is important to have relevant and well-formed meta tags. However, you can save some time on this task if you automate it.

Task: Generate high-quality metadata for pages based on the existing semantic core and analysis of competitors' pages.

Goal: Save time on generating metadata for pages.

What to Look for When Creating a Prompt:

1. Write down the task to be solved with the help of the prompt, for example, “Your goal is to create the best metadata”
2. Write down the input data and explain it. For example:

INPUT_PARAMETERS:
KEYWORDS: list of keys to be analysed
COMPETITORS: a list of three URLs of competitors' pages to be analysed

3. Set the response parameters, for example:

RESPONSE_PARAMETERS:
Tone: professional
Temperament: 0.3

4. If necessary, we set additional instructions, for example:

ADDITIONAL_INSTRUCTIONS: 
Meta Title length – no more than 140 characters
Meta Description length – no more than 180 characters

5. We set the rules for answering, for example:

RESPONSE_RULES:
The format of the answer is text, which can be copied as a form:
Title: The content you created for the page Title
Description: The content you created for the page Description
H1: Content generated by you for page H1

Prompt Generation Example

1. Add a list of keywords

2. Add 3 URLs of competitors' pages

3. Specify the language in which we need to generate the result

4. Get the result:

Finding Blog Topic Ideas

To avoid searching for content ideas manually, you can partially delegate this task to AI - it will generate relevant topics based on semantics, target audience interests, and competitors.

‍Objective: To save time on selecting topics for blog articles, freeing up more time to develop a content strategy. 

What to look for when creating a prompt:

1. Write down the task that you want to solve with the help of the prompt, for example, "Your goal is to create a list of 10 topics for the website's blog that you can write articles about to attract additional traffic
2. Write down the input data and explain it. For example:

INPUT_PARAMETERS:
THEME: the general topic of the site
GEO: The region to which the site belongs

3. Set the response parameters, for example:

RESPONSE_PARAMETERS:
Tone: Professional and trustworthy

4. We set the rules for answering, for example:

RESPONSE_RULES:
Response format – a numbered list of 10 relevant topics for blog posts

An Example of Working with a Promt:

1. Specify the language in which we need topics for blog articles

2. Indicate the GEO of our website

3. Specify the main topic of our website

4. Get the result

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Generating Technical Tasks for Copywriters

To avoid spending hours manually preparing technical specifications, you can automate this process with the help of AI - it will quickly generate technical specifications and save time for copywriters.

What to pay attention to when creating a promo:

1. Write down the task that needs to be solved with the help of a prompt, for example, “Your goal is to create the best technical tasks for copywriters.”
2. Write down the input data and explain it. For example:

INPUT_PARAMETERS:
KEYWORDS: list of keywords to be analysed
COMPETITORS: list of pages in the form of URLs to be analysed

3. Set the response parameters, for example:

RESPONSE_PARAMETERS:
Tone: Professional and trustworthy
Temperament: 0.3

4. If necessary, we set additional instructions, for example:

ADDITIONAL_INSTRUCTIONS: 
If the keywords are appropriate, they should be inserted into the proposed structure.
Recommend adding: images, lists (specify what should be listed in the list and what format it should be: numbered or bulleted).

5. We set the rules and structure of the answer, for example:

[STRUCTURE_OF_RESPONSE] is provided below and must be generated by according to the information provided
~~~
Structure 
H1:... 
H2:... 
H2:... 
H3:...
LSI 
- … 
- … 
faq: 
- …

How the Prompt Works:

1. Specify the language in which the SOW is required

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2. We provide examples of competitors' articles:

3. Add a list of keywords to the analysis:

4. Add the H1 heading for our article:

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5. Get the result:

The result contains the structure for the article, a list of relevant LSI keys:

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Recommendations for FAQ:

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General recommendations for copywriters regarding the content of the article:

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Conclusions

Automating routine SEO tasks with AI is no longer a fantasy, but a working tool that really saves time. Semantics clustering, metadata generation, selection of blog topics, copywriting tasks - all of these can be outsourced to AI to focus on strategic tasks

AI is not only about market changes and the need to adapt. It is also about new opportunities. We advise you not to be afraid, but rather to test, experiment, and integrate it into your work processes right now.

Take a look at our recent SEO case study to see how our advice works in action:

Click for more SEO case studies.

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