Start with ready-made AI agents with instructions on how to manage them on the marketplace. Browse the library
Back to templates

60 SEO/GEO skills (largest set)

This article introduces an innovative Claude Code plug-in featuring 59 specialized SEO and GEO AI agents designed for comprehensive search engine analysis. It explains how marketers and operations managers can automate repetitive tasks like site audits and content optimization to significantly increase organic traffic and efficiency.

60 SEO/GEO skills (largest set)
Created by:
Author
John
Last update:
28 June 2026
Categories
Turnkey
Bonus for you
Renew your subscription now and get one of the additional bonuses

The bundle of 59 search engines and geographically based AI agents for SEO and content analysis are contained in an innovative Claude Code plug-in that can be used by both marketers and operational managers.

General Description

Project details are as follows:

There are a total of 59 SEO AI agents that can be used for standard search engine citations worldwide as well as geo-search citations. To quickly gain access to any of them, you only need to enter /42 plus the specific agent number (for example /42-audit, /42-content) without having any additional knowledge required.

By leveraging the automation features of the AI agents, marketers and operations managers will save time by completing highly repetitive and mundane tasks. This functionality allows the users to have advanced tools that are focused on optimizing their businesses' SEO campaigns through being more visible on search engines. In addition, it is anticipated that this technology will help drive better results and adjust methodically as search engine algorithm changes occur.

60 SEO/GEO skills (largest set)

How Automation Works

It is easy to automate tasks with AI agents through three steps. 1. Install the Claude Code plugin (available from the ASCN marketplace) to enable access to all of the different functions & tools provided in this package. 2. Use the /42-init command to initialize your project that sets up your configuration and equips your system to take advantage of automated features. 3. After your project has been initialized using /42-init, execute the required skill commands (for example, /42-audit or /42-content) to quickly perform repetitive and time-consuming tasks such as performing SEO audits, conducting content analysis, or optimizing geographically based websites. The development of agents for individual tasks allows for more structured and clear workflows for users. For instance the /42-technical command completes a technical site audit and the /42-content command reviews the quality of the site's content.

By using AI agents for automating some of the routine tasks associated with digital marketing, marketers and operation managers can concentrate on performing strategic tasks rather than doing routine work. This not only saves marketers time but allows for them to produce better quality work. Consequently, customers report that they are able to respond more quickly to changes in the market and improve their strategies.

Why It Is More Effective Than Manual Work

Automating SEO and GEO processes through AI agents significantly cuts down on the amount of time that is "lost" doing manual tasks. For example customers that utilise this system are able to complete their work much quicker due to the avoidance of excessive manual checks and analysis of data, which could take up to 40–60 minutes a DAY. AI agents can perform these tasks much faster than manual labour.

The system also guarantees more accurate and consistent results from performing data analysis. Manual methods have a tendency to produce errors and inconsistencies whereas AI agents will always operate under a set of predetermined algorithms that will greatly reduce the likelihood of error. This is particularly true in today's rapidly changing market, as any one single error can be very costly to a business. For example an automated site audit will be able to identify any issues that may not have previously been identified during a manual audit.

In addition, performing routine work using AI agents will allow marketers to devote more time to more strategically focused projects, i.e. developing a content strategy or improving customer interactions. This frees marketing professionals up for more creative work and more effective decision-making, which ultimately will lead to better SEO campaign results. The integration of new technologies is a key aspect for all businesses interested in growing and competing in today’s highly competitive economy.

What Results Users Get

Users report that they have seen increased success and effectiveness from the use of their SEO (Search Engine Optimization) Campaigns with less time being spent on analyzing data. Organizations are able to change their strategic direction quickly by using AI agents to automate specific procedures and react more quickly to modifications by search engines to their algorithmic-functioning model, resulting in having and achieving higher search engine ranking positions and increased volume of organic traffic from said search engine. The companies that have adopted an automated strategy saw an increase in organic traffic by approximately thirty percent within the timeframe of a few months.

In addition, automation systems give users the ability to generate comprehensive reports which allow them greater ease in evaluating their results and make better informed decisions regarding their activity. Automation has allowed users to complete repetitive tasks in less time allowing them to allocate their time towards other meaningful business activities. This allows companies to devote more resources to the creative development of their strategies and the quality of the content they produce, thereby enhancing their competitive edge within the market.

The incorporation of AI Agents into an organization’s SEO and GEO business processes not only increases the overall efficiency of the organization’s operations but also provides for a further enhanced understanding of the customer and market dynamics related to the success of any organization. Users also report that automation has provided them with a further expanded understanding of their audience, which can provide them with a more accurate and tailored approach in the development of their product and/or service offerings.

Implementation Examples

There are no specific case studies provided for how individuals or businesses have successfully adopted AI agents into their SEO and GEO processes; however, there do appear to be common themes based on the experience of implementing automation in addressing SEO issues. Most of the companies that use automation have reported a dramatic decrease in the amount of time they spend doing repetitive tasks in their day-to-day activities (such as site auditing or content analyzing); this gives marketers more time to spend on developing strategies for reaching their goals.

The implementation of process automation has also enabled marketers to generate more accurate and consistent reports (this simplifies the analysis of the results produced by search engines) that allow them to make better decisions based on an increased level of data analysis. In addition to providing users with a greater degree of accuracy and consistency regarding how search engines produce search results, companies that have adopted AI agents also reported that the quality of the SEO reports generated by their company has improved and their data analysis has become more comprehensive.

In addition to enabling the organizations to have a more comprehensive understanding of how search engines operate, the implementation of AI agents also has enabled organizations to respond to changes in search engine algorithms more quickly; thus, allowing them to change their strategies and increase their positions in organic search results. By using AI agents to assist in their SEO processes, organizations are able to improve the effectiveness of their SEO campaigns and greatly increase their organic traffic. As is well known, search engine algorithms undergo constant changes; therefore, having an AI agent coupled with the ability to respond quickly to these changes provides organizations with a competitive advantage when trying to attract potential customers.

What You Get

By using AI agents in their SEO processes, users of the system will gain access to high-power tools that can greatly simplify the analysis and optimization processes. By implementing this system, users are given:

  • May use 59 different types of AI agents that cover all aspects of SEO/GEO (audit, optimize website content, generate reports, and provide recommendations).
  • There are a variety of tools available to automate the analysis and optimization of website content, decreasing the amount of time spent on repetitive tasks and improving the quality of those tasks.
  • Users will receive detailed reports with recommendations for increasing their search engine rankings, allowing them to manage their SEO campaigns more efficiently.

As a result of automating the analysis and optimization of website content, marketers and operation managers can shift their focus to strategic activities and decrease their focus on repetitive tasks, thus, improving the overall results of their business. In addition to giving users the ability to optimize current processes and adapt to changing market trends, users have also noted that the automation of these activities helps them have a better understanding of their audience and respond quickly to any changes in that audience.

Startup Instructions

In order to successfully launch the AI agent system, users must complete several straightforward steps. First, create a .env file based on the example file (.env.example) and populate it with the required API keys for the agents to function properly. Having correctly configured API keys will allow the system to interact correctly with external systems and other systems that run on the same API.

The second step is to ensure that you have installed all dependencies required for the operation of the AI agents system. This can be done by executing the command: pip install -r requirements.txt. This command will install all the libraries and modules necessary for the system to operate correctly. In order to perform this step successfully, you must be running Python version 3.10 or greater.

After successfully installing the required dependencies, you will need to execute the project initialization command (/42-init) to create all of the settings for the project and configure the system for use. After completing these tasks, you will be able to utilize the entire suite of features and capabilities available in the system for automating SEO and GEO processes. Please be sure to follow all instructions carefully to minimize the possible occurrence of errors during the set-up process.

FAQ
Still have a question
Do I need coding skills to set up this template?
No coding skills required! This template is designed for no-code users. Simply follow the step-by-step setup guide, connect your accounts, and you're ready to go.
How does this template help maintain data security?
All data is processed securely through official APIs with OAuth authentication. Your credentials are never stored in the workflow, and you maintain full control over connected accounts and permissions.
What is a module?
A module is a single building block in the workflow that performs a specific action — like sending a message, fetching data, or processing information. Modules connect together to create the complete automation.
Can I customize the template to fit my organization's specific needs?
Absolutely! You can modify triggers, add new integrations, adjust AI prompts, and customize responses to match your organization's workflow and branding requirements.
How customizable are the AI responses?
Fully customizable. You can edit the AI system prompt to change the tone, language, response format, and behavior. Add specific instructions for your use case or industry terminology.
Will this template work with my existing IT support tools?
This template integrates with popular tools like Gmail, Google Calendar, Slack, and Baserow. Additional integrations can be added using available API connectors or webhooks.
What if my FAQ knowledge base is empty?
No problem! The template includes setup instructions to help you populate your FAQ database with commonly asked questions and answers. Start small. As new questions arise, you can easily add more FAQs over time.
Is there a way to track unresolved issues that require follow-up?
Yes! You can configure the workflow to log unresolved queries to a database or spreadsheet, send notifications to your team, or create tickets in your issue tracking system for manual follow-up.
What if I want to switch from Slack to Microsoft Teams (or another chat tool)?
Simply replace the Slack module with a Microsoft Teams or other chat integration module. The core logic remains the same — just reconnect the input and output to your preferred platform.
If you have questions about the template or want to launch it for the best results, contact us and we'll help you set it up quickly
message
By continuing to use our site, you agree to the use of cookies.