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How to Safely Give AI Agents Edit Access to Your Website for Enhanced SEO Performance

AI Agents, Content Management, digital marketing, Drupal automation, Python coding, SEO automation, website optimization

In recent experiments, the author created two AI agents to automate specific Marketing tasks on their personal website, demonstrating that AI can significantly enhance the digital Marketing landscape. The first agent analyzes blog posts for SEO improvements, while the second agent updates these posts after manual approval. The process was completed with just 120 lines of Python code, showcasing how accessible AI tools have become. Although these agents show promise in navigating complex content management systems like Drupal, they are not yet completely reliable for production use. This development suggests a future where AI will work alongside digital marketers, revolutionizing the field. The author plans to explore further applications of AI in Marketing.



A person works on a laptop as a hologram of an AI agent hovers beside them.

People often ask if AI agents will take over roles in digital Marketing and website building. The short answer is yes, particularly for specific tasks. To demonstrate this, I created two AI agents designed to streamline Marketing efforts on my personal website. Their main functions involve updating meta descriptions for improved SEO and optimizing tags to enhance content discoverability.

Witnessing the AI agents in action is a remarkable experience. The video included shows them seamlessly navigating my Drupal site—logging in, locating posts, and modifying content. This is a sneak peek into how AI could reshape the future of digital Marketing.

The Experiment

I designed two AI agents for optimizing my blog posts:

  • Agent 1: Content Analysis: This agent scans a blog post and suggests improved summaries and tags to boost SEO and increase visibility.
  • Agent 2: Applying Updates: After I approve the suggestions, this agent logs into the site to implement the changes.

While this process could be achieved in one step using a single agent, having a human in the loop ensures quality control.

Creating this setup took only 120 lines of Python code and a few hours of experimentation. The code is accessible for developers with basic programming knowledge.

The key element is the browser_use framework, which connects various LLMs to Playwright, a tool for automating browser tasks.

The Magic and Reality Check

This project is exciting partly because the agents can solve problems in a way that resembles human decision-making.

As I observed them, I realized they encounter similar user experience (UX) challenges that humans do. This suggests that simplifying a CMS like Drupal for human users can also make it more accessible for AI agents. I find this connection between human and AI usability both fascinating and enlightening.

For example, in the video’s first half, one agent tried to find my DrupalCon Lille 2023 keynote. When scrolling through the blog section didn’t work, it wisely used Google search instead.

In the latter part of the video, the agent tackled Drupal’s more complicated UI elements, such as auto-complete taxonomy fields, with some trial and error.

The outcomes have been impressive, though not always flawless. Running multiple tests showed that while the agents generally performed well, they aren’t yet suitable for production use. However, as AI technology rapidly advances, such agents could become highly reliable within the next year or two.

Native Agents vs. Explorer Agents

I categorize agents into two groups: “explorer agents” and “native agents.” While these terms are my own, here’s my distinction:

  • Explorer Agents: These agents work across various websites. For instance, an explorer agent could search on Google for a product, compare prices, and place an order from the cheapest online retailer.
  • Native Agents: These agents operate within a specific website and utilize its APIs and built-in features for more direct interaction.

The browser_use framework, in my view, is better suited for explorer agents. While it can be applied to a single website, as demonstrated in my video, it isn’t the most efficient use of resources.

In contrast, native agents would directly work with the CMS APIs. Instead of mimicking human browsing behaviors to find content, a native agent could retrieve information instantly through a single API call, proposing changes in an organized CMS editing workflow.

There is also the possibility of a future collaboration between native and explorer agents, creating hybrid agents that combine the benefits of both approaches for even greater potential.

Next Steps

My next step involves developing a similar solution using Drupal’s AI agent capabilities. Native AI agents in Drupal could streamline content finding and updating processes further.

Additionally, there are numerous digital Marketing scenarios that may benefit from the capabilities offered by explorer agents. I welcome any ideas on these possibilities.

Conclusions

Building an AI assistant for digital Marketing tasks is no longer just a concept. It’s evident that soon AI agents will be key players alongside digital marketers and site builders.

The rapid advancement of these tools makes them surprisingly easy to create, even though improvements are still needed. The potential disruption they bring is both exhilarating and challenging to comprehend fully.

As we look towards the future, we must contemplate whether we are prepared for the significant shifts that AI could bring to our industry. The future awaits us, but we need to embrace this opportunity to shape it.

What does it mean to give an AI agent edit access to my website?
Giving an AI agent edit access means that the agent can make changes to your website’s content or layout. This can help improve your site by updating information or enhancing design without you doing it manually.

Is it safe to let an AI edit my website?
It can be safe, but it depends on the AI and how much control you have. Make sure to use trusted AI tools and monitor the changes they make. Limiting the agent’s access can also help keep your site secure.

Can I undo changes made by the AI?
Yes, most website platforms have an option to undo changes or restore previous versions. Check the site’s settings or version history for this feature.

How can I monitor the changes made by the AI?
Most website builders allow you to track changes. You can regularly check the edit history or set up notifications to be informed when changes occur.

What should I do if the AI makes unwanted changes?
If the AI makes changes you do not like, quickly restore the previous version through your website’s management system. It’s also good to revisit the access settings and adjust them as needed to prevent future issues.

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