Learn how to use artificial intelligence (AI) in an SEO audit to automate, optimize, and enhance your SEO strategy. Discover the benefits, challenges, best practices, and future trends of AI for SEO audit.

The best AI tools for SEO audits would be an integration of Python (via Jupyter iPython notebooks), the website auditing tool data itself, backlink data, LLMs like Chat GPT, SERPs data and outcome data such as conversions from website analytics packages such as Google Analytics (GA4). The combination of these would allow SEO experts to highlight the most influential technical recommendations but also apply a revenue/conversion value against the technical recommendation. Unfortunately, no such all encompassing AI SEO audit tool exists yet.

How can you use artificial intelligence in an SEO audit?

An SEO audit is a process of analyzing your website's performance, content, technical aspects, and user experience to identify and fix any issues that might affect your ranking and visibility on search engines. However, doing a comprehensive and effective SEO audit can be time-consuming, complex, and tedious, especially if you have a large or dynamic website with thousands of pages and keywords. That's where artificial intelligence (AI) can help. AI is the ability of machines to perform tasks that normally require human intelligence, such as learning, reasoning, and decision making. In this article, you will learn how you can use AI in an SEO audit to automate, optimize, and enhance your SEO strategy.

1 AI tools for SEO audit

There are many AI tools available to assist with different aspects of an SEO audit, such as crawling, indexing, keyword research, content analysis, link building, and user behavior. Popular and useful AI tools for SEO audit include Screaming Frog, a web crawler that can scan your entire website and provide detailed information about URLs, titles, meta tags, headings, images, links, canonicals, and more; MarketMuse, a content optimization tool that uses natural language processing (NLP) to analyze your content and compare it with your competitors; SEMrush, a comprehensive SEO tool for keyword research and competitor analysis; and Clicky, a web analytics tool that can help you measure user experience. These AI tools enable you to identify and fix technical issues, find content gaps and opportunities to improve relevance and quality for target keywords and topics, monitor ranking and traffic, analyze your backlink profile, measure conversion rate and engagement, and more.

Add your perspective

Andreas (Dre) Voniatis

Smarter Content. Stronger Pipelines /> Organic Growth Partner for CMOs – Delivering Rapid Wins + Brand Growth /> Founder of Artios and Author of Data-Driven SEO
Report contribution
The best AI tools for SEO audits would be an integration of Python (via Jupyter iPython notebooks), the website auditing tool data itself, backlink data, LLMs like Chat GPT, SERPs data and outcome data such as conversions from website analytics packages such as Google Analytics (GA4). The combination of these would allow SEO experts to highlight the most influential technical recommendations but also apply a revenue/conversion value against the technical recommendation. Unfortunately, no such all encompassing AI SEO audit tool exists yet.

Like
Muhammad Muneeb uddin

SEO | SEM | ASO | Brand and eCommerce Specialist
Report contribution
AI tools for SEO audits empower digital marketers with data-driven insights. These tools analyze websites, identify optimization opportunities, and recommend improvements. Leveraging AI, they evaluate on-page SEO elements, backlinks, content quality, and more. By automating the audit process, AI tools enhance SEO efficiency and help businesses achieve better search engine rankings.

Like
mark D.

AI Developer | Local LLM Architect | Private AI Systems | Building the Future of Local & Modular AI
(edited)
Report contribution
while AI tools make content creation easier, the emphasis in SEO has shifted towards quality, user intent, originality, and overall user experience. This means SEO strategies need to adapt to these evolving standards. Search engines use complex algorithms to rank content. With AI, these algorithms can learn and adapt faster, making them more efficient at spotting and penalizing low-quality, AI-generated content. seeing google and bing develop there search structure makes it so there is no "easy way"

Like

2 AI benefits for SEO audit

Utilizing AI in an SEO audit can offer numerous advantages, such as saving time and resources through automation and streamlining of mundane and repetitive tasks. Additionally, AI can analyze and process data more accurately than humans, resulting in improved accuracy and quality. Furthermore, AI can help to identify creative and innovative solutions that may be overlooked by humans, such as targeting new keywords, topics, and audiences. Finally, AI can optimize content for relevance, quality, and authority for your target keywords and topics. In short, using AI in an SEO audit can prove to be a valuable asset in helping you to achieve your desired results.

Add your perspective

Muhammad Muneeb uddin

SEO | SEM | ASO | Brand and eCommerce Specialist
Report contribution
AI offers numerous benefits for SEO audits, including enhanced efficiency, data analysis, and insights. AI-powered tools can quickly analyze large datasets, detect technical SEO issues, identify content gaps, and provide actionable recommendations. They enable marketers to make data-driven decisions, streamline the auditing process, and improve website performance for better search engine rankings.

Like

3 AI challenges for SEO audit

AI offers many advantages for SEO audit, however, it is not without its challenges and limitations. AI lacks the human touch and intuition that are essential for SEO success; it cannot understand the context, tone, and emotion of your content, or the intent, preference, and behavior of your visitors. Furthermore, AI is dependent on data and algorithms, which can be influenced by biased, outdated, or incomplete data, or by faulty, complex, or opaque algorithms. Ethical and legal issues can also arise when using AI for SEO audit; it can pose risks to the privacy, security, and ownership of the data and information that are collected and processed by it, or to the accountability, transparency, and fairness of the decisions and actions that are made and taken by it.

Add your perspective

4 AI best practices for SEO audit

To use AI in an SEO audit effectively and efficiently, you need to follow some best practices. Firstly, you should define your goals and objectives, so that you know what aspects of your website you want to audit, what metrics and indicators you want to track, and what tools and techniques you want to use. Secondly, it's important to choose the right AI tools that are compatible and integrated with your website and SEO strategy. Lastly, you need to test and evaluate your AI results. This includes checking the accuracy, quality, and reliability of the data generated by AI, as well as the effectiveness, efficiency, and impact of the solutions suggested by AI.

Add your perspective

5 AI future for SEO audit

AI is not a one-time solution or a magic bullet for SEO audit, but rather a dynamic and evolving technology that is constantly changing and improving. As AI advances and becomes more accessible and affordable, it will create new possibilities and challenges for SEO audit. For example, AI can enable personalization and customization of content and experiences based on user profiles, preferences, and behavior. Additionally, AI can help optimize websites and content for voice and visual search, as well as semantic and intent-based search which are becoming increasingly popular and influential. This will help reach more users who use voice assistants, smart speakers, or mobile devices to search for information, products, or services. Ultimately, AI can help understand the meaning and purpose of visitor queries to provide the best and most relevant answers and solutions.

Add your perspective

6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

Add your perspective

Ray Grieselhuber

Founder & CEO, DemandSphere. Solving growth problems with better data for enterprise search / SEO teams, both in-house and agency.
Report contribution
AI is a broad term to cover large language models (LLMs), NLP, machine learning, etc. LLMs are getting a lot of attention because they are easy to interact with but SEO audits also have a lot of structured data needs. Analyzing text, extracting intended topics, etc fit well into NLP problem domains. No matter what tools you reach for, you’ll gain a lot of efficiency by working with a language such as Python vs just using common interfaces such as ChatGPT, etc. In the Python / NLP world check out spaCy and NTLK. The OpenAI APIs are easy to work with and can help you do things like recommending groupings and analyzing / summarize data.

Like

How can you use artificial intelligence in an SEO audit?

1

2

3

4

5

6

1 AI tools for SEO audit

2 AI benefits for SEO audit

3 AI challenges for SEO audit

4 AI best practices for SEO audit

5 AI future for SEO audit

6 Here’s what else to consider

Search Engine Optimization

Rate this article

Thanks for your feedback

More articles on Search Engine Optimization

More relevant reading