What is AI SEO? Artificial intelligence Search Engine Optimisation (AI SEO) has permanently changed search and how we do it. Users are getting custom search results based on their past behaviours, their devices, their locations, and hundreds of other factors, including their Semantics. NLP / Semantic SEO is is an search engine optimisation (SEO) strategy that focuses on optimising your content for a topic rather than a single keyword or phrase.
| Feature | AI SEO | SEO (Search Engine Optimisation) |
|---|---|---|
| Definition | Utilising AI technologies to optimise and improve search engine rankings. | Optimising websites to rank higher in search engine results pages (SERPs). |
| Technology | Uses machine learning, natural language processing (NLP), and data analytics. | Relies on manual optimisation techniques and tools. |
| Content Creation | AI tools can generate content based on keyword analysis and user intent. | Content is manually written and optimised for keywords. |
| Data Analysis | AI analyses large datasets to identify trends and patterns quickly. | Analysis is often manual and takes longer to process large datasets. |
| Keyword Research | AI predicts user behaviour and identifies long-tail keywords. | Keyword research is performed manually or with SEO tools. |
| User Experience (UX) | AI personalizes user experiences based on behaviour and preferences. | UX improvements are based on manual testing and feedback. |
| Algorithm Updates | AI adapts in real-time to search engine algorithm changes. | Requires manual updates and changes in strategy. |
| Automation | Automates repetitive tasks such as monitoring and reporting. | Many tasks are performed manually, requiring more time and effort. |
| Performance Monitoring | AI provides real-time insights and adjustments. | Performance monitoring is often done manually and periodically. |
| Tools | AI-powered tools like BrightEdge, MarketMuse, Clearscope. | Traditional SEO tools like Google Analytics, Google Search Console, SEMrush. |
| Cost | Can be higher due to advanced technology and tools. | Generally lower but time-intensive due to manual work. |
AI has significantly changed the SEO landscape in several ways:
The thing I love about working with AI is that it does do the the heavy like the table above. This table was prompted from my research and table names. For this article and Image I used Co-Pilot . Unlike Gemini, co-pilot does not let you take a table and convert it into a sheet. Co-Pilot gives the HTML. If did mailer campaigns for a living I would definitely pop my mailer into AI for the HTML output.
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Keyword Research and Content Strategy:
AI-powered tools can analyse massive datasets to identify relevant keywords, predict search trends, and uncover long-tail keywords with less competition.
Content creation is also being revolutionised by AI, with tools that can generate high-quality, SEO-optimised content, including articles, blog posts, and product descriptions.
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Technical SEO:
AI algorithms can crawl websites and identify technical issues that may be hindering search engine rankings, such as broken links, slow loading times, and mobile-friendliness problems.
AI-powered tools can automate the process of fixing these issues, making technical SEO more efficient and scalable.
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Competitor Analysis:
AI-driven platforms can analyse competitor websites to identify their strengths and weaknesses, helping businesses to develop more effective SEO strategies.
AI can track competitor rankings and identify any changes in their SEO tactics, allowing businesses to stay ahead of the curve.
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User Experience (UX):
AI can analyse user behaviour on websites to understand how visitors interact with content and identify areas for improvement.
AI-powered personalization can tailor the user experience to individual preferences, improving engagement and conversions.
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Voice Search Optimisation:
AI-powered voice assistants are becoming increasingly popular, and optimizing content for voice search is crucial for SEO success.
AI tools can help businesses understand how users are searching with voice and optimize their content accordingly.
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Local SEO:
AI-powered tools can help businesses manage their online presence on local directories and platforms, ensuring that they are accurately represented in search results.
AI can also analyse local search trends to help businesses target the right customers in their area.
My Conclusion:
Overall, AI is making SEO more data-driven, efficient, and effective. By leveraging AI-powered tools and techniques, businesses can gain a competitive advantage in the ever-evolving world of search. However, it’s important to remember that AI is not a replacement for human expertise. While AI can automate many tasks and provide valuable insights, a human touch is still essential for developing and implementing successful SEO strategies.
