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Agentic AI
Despite the buzz that "SEO is dead," SEO is more vital than ever in the AI era. Learn how AI is reshaping SEO and get actionable tips to stay ahead in search and content strategy.
“SEO is dead.” You probably have read that on LinkedIn in the past few months. Some voices claim that AI is the shiny new thing for leaders and marketers, and that no one should be spending more efforts on SEO.
But the truth is, SEO is more alive than ever. Large language models (LLMs) like ChatGPT obtain a significant portion of their information from content published on websites. Search engines are not dead. Rather, think about it this way: they have expanded.
That’s exactly what we’re going to help you understand in this article. We’ll explore how AI is used in SEO, and provide specific examples on how you can get started.
AI in SEO refers to the use of AI technologies to streamline SEO processes efficiently. SEO involves many moving parts, and AI can be used in practically any area, including:
AI can scan large amounts of data in seconds and perform advanced data analysis.
Writing content is the most popular AI process because writing manually from scratch takes time. Previously, writing a blog post—from research to drafting to editing —might take 4-6 hours. But with AI, the time it takes to create optimized content can be reduced by more than 50%.
There are different kinds of AI technologies that power these processes, which include:
AI-powered SEO tools are changing how experts do their work. They help teams accomplish more in less time, allowing SEO specialists to spend more time making important decisions instead of performing repetitive tasks. While processes have evolved, SEO best practices remain the same. You still need to showcase that your site is an expert in your own niche.
Now, let’s talk about how AI can actually be used in your own SEO processes.
Keyword research can be a tedious process because there is just so much data to sort through. However, keyword research is a crucial part of the SEO process, as it enables you to select which search queries to target strategically.
Essentially, keyword research helps you answer the question: Which long-tail keywords have high search volume but low competition and are relevant to our target readers?
You can conduct keyword research manually, but it involves several steps–such as typing all the possible combinations that people might type in. But with SEO keyword research tools, you can accomplish this process almost instantly.
Here are the most popular SEO tools to help you find keywords to target:
Long before before ChatGPT and AI became household names, these tools had been utilized AI technologies like NLP to analyze thousands of websites. This makes it easer to prioritize which topics to write about and to potentially convert to sales easier.
These tools have evolved to incorporate generative AI and other advanced features, enabling you to identify topics and write articles more effectively.
SEO content creation is one of the most time-consuming aspects of SEO, but AI tools can significantly streamline this process. According to Orbit Media, it takes an average of 3 hours and 51 minutes to write a 1400-word blog post.
With AI writing tools, you can significantly reduce this time while maintaining quality. Here's a look at some of the most effective AI writing tools that can help streamline your content creation process:
These AI tools are trained on massive text datasets, known as large language models (LLMs), which enable them to understand context and produce human-like content. However, it's essential to note that while AI can accelerate content creation, an expert writer familiar with the company, industry, and target audience oversees the entire creation process to ensure the production of accurate and high-quality content.
For example, let's consider an SEO Content Writer and Manager with over a decade of experience in creating SEO-optimized content. It used to take her more than 6 hours to complete a 2000-word blog post, from start to finish. Much of that time is devoted to research. Once the research is done, she has to put together an outline and write everything from scratch.
But with AI, the research is much faster, since tools like ChatGPT can do deep research with all the sources you need in seconds.
Keeping your content fresh and up-to-date is crucial for maintaining strong search engine rankings. AI tools can analyze user data and existing content to identify articles that need updating.
For example, Ahrefs offers several metrics to help identify which content needs updating:
Another powerful tool is Surfer SEO's Content Editor, which can analyze your existing content against top-performing competitors to suggest specific updates.
It looks at factors like:
AI significantly streamlines the content update process by automating several time-consuming tasks.
SEO doesn’t stop with writing content. You also have to make sure that your site is healthy. It even has a health score!
Site health includes making sure there are no broken links, pages, or images. Essentially, everything needs to work properly so that the reader has a great experience navigating your site.
Performing these manual checks can also take a significant amount of work. That’s why SEO tools with AI capabilities can make the process fast and efficient.
A popular example is Screaming Frog SEO Spider, which uses AI and machine learning capabilities to perform comprehensive technical SEO audits. This tool can:
The tool's AI capabilities help process large amounts of technical data quickly, allowing SEO teams to focus on fixing issues rather than spending time identifying them. For enterprise websites with thousands of pages, this automation is particularly valuable.
Link building is another area where AI can significantly improve efficiency and success rates. AI-powered tools can help identify high-quality link prospects, automate personalized outreach emails, and analyze competitors' backlink profiles to identify opportunities.
Tools like Pitchbox and Hunter.io use AI to streamline the outreach process by:
By automating these repetitive tasks, your team can focus on building genuine relationships and creating valuable content partnerships, rather than spending time on manual prospecting and email management.
Pro tip: If you’re planning to automate more of your SEO processes, make sure to have an overall enterprise automation strategy first.
The SEO tools with AI capabilities discussed in the previous sections can accomplish a great deal and have automated many manual tasks. However, in most cases there is still a need for human input and oversight. For example, you need to prompt ChatGPT to write an article for you.
But what if the entire SEO process is fully automated without constant prompts from you? That’s what an AI agent is all about. An AI agent is another AI technology that fully automates SEO processes for you.
With a tool like Ahrefs, you’re limited by the data it gives you. However, by building an AI agent that can integrate various tools and access data from multiple sources, you can create an automated, end-to-end process.
For example, let me show you how I built an AI agent with Arcee Orchestra to automate our SEO workflow. This agent performs comprehensive keyword gap analysis and content generation in seconds. Here's a quick overview of what it does:
The entire process, from keyword analysis to content creation, takes approximately 40 seconds. That's MANY hours of manual work automated into less than a minute.
Watch the full demo below to see this powerful AI agent in action and learn how it can transform your SEO workflow:
https://www.youtube.com/watch?v=SprI5tn2Lqg&t=70s
You can also learn more about how to create a custom AI agent for your specific SEO process.
Pro tip: You can also book a call with the Arcee AI team, so they can guide you with the best path to automating your SEO workflows.
No, Google has stated it focuses on content quality, not how it's created. They evaluate content based on E-E-A-T principles (Experience, Expertise, Authoritativeness, Trustworthiness), regardless of whether AI was used in creation.
Yes, AI tools can significantly enhance SEO efforts by automating keyword research, content creation, technical audits, and link building. However, it's most effective when combined with your own expertise and oversight to ensure quality, strategy alignment, and organic traffic generation.
To ensure ethical and effective AI use in SEO, establish clear guidelines for AI tool usage, maintain human oversight of AI-generated content, regularly review outputs for quality and accuracy, provide team training on AI tools, and stay updated on AI best practices and Google's guidelines.
Yes, many modern AI platforms allow you to train models on your proprietary content and SEO data. This can help create more customized and accurate outputs tailored to your brand voice and industry expertise. However, it's important to ensure you have the proper data rights and privacy measures in place before training AI on any proprietary or sensitive information.
Yes, AI-generated content is generally safe to publish when proper oversight and editing processes are in place. However, it's essential to review and fact-check all AI-generated content before publishing, ensure it aligns with your brand voice, and verify that any claims or statistics are accurate. Having a human editor review AI content helps maintain quality standards and adds the necessary expertise and context that AI might miss.
SEO has changed a lot over the years. Over the last decade, SEO tools have significantly simplified many manual tasks. Now, with new AI technology, we can automate even more tasks, especially when it comes to writing content.
AI agents are making things even better. These agents can connect various tools and information sources to automate tasks, from identifying the right keywords to creating content. We don't know exactly how AI will impact SEO in the future, but we do know one thing: companies that utilize AI for their SEO efforts will outperform those that don't.
The most important thing is to strike the right balance between utilizing AI and human expertise. This balance helps create content that connects with readers while still ranking well in search results.
Explore the immense capabilities of large language models (LLMs) like GPT-4 and PaLM, which leverage vast datasets and billions of parameters to generate human-like language, solve complex tasks, and drive diverse AI applications.
Today, we have made two important datasets publicly available: 1. Agent Data: This dataset was instrumental in training Arcee-Agent. It contains Salesforce-xlam, agent-flan, and a custom version of Glaive-FC2 with 20k extended samples that call for the model to do tool use sequentially within the same response, along with Magpie-Pro
Arcee's research shows that the Standard Continual Pre-Training (CPT) approach performs better than QLORA-based CPT.
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