The Role of Machine Learning in Google Ads & SEO

Machine learning can enhance Google Ads and SEO strategies by:

• Offering insights for optimisation, helping you understand user behaviour, interests, and preferences
• Analyse consumer behaviour to understand the buyer's journey
• Help create personalised experiences
• Effective keyword research and targeting
• Automated bidding on Google Ads

At the same time, AI cannot duplicate human creativity. Therefore humans will still be needed for creating high quality, unique, and engaging content, along with creating customised strategies that align with the latest Google updates and SEO best practices.

Machine Learnings Role

AI and machine learning can provide numerous benefits when it comes to Google Ads and SEO strategies, including:

• Improved ROI – AI helps to increase profitability with real-time data, helping to create data-driven campaigns and strategies
• Targeted – know what your customers want and need
• Optimise - ensure content can be crawled and indexed by search engines, while ensuring it is visible to your audience

The Role of Machine Learning in SEO

• Personalisation – AI can improve user experience and engagement, helping in the creation of content based on user behaviour and preferences
• Search engine algorithms – machine learning is used in search engine algorithms, helping to comprehend the context and intent of searches, providing relevant and accurate results
• Keyword research – AI is able to analyse keywords quickly and effective, along with forecasting search trends and offering insights for long-tail keywords
• Optimisation – AI tools can help in content analysis, making recommendations for improvement.

The Role of Machine Learning in Google Ads

• Improved click rate – adjusts keyword bidding strategy to increase website visitors
• Improved impressions – use AI-powered Smart Bidding to boost the number of impressions your adverts receive
• Improved conversions – machine learning uses data to help you bid on keywords that are more likely to convert
• Targeted CPA – Google's machine learning algorithms aim to get conversions without you exceeding your budget
• Targeted ROI – Algorithms use your historical data to determine a cost per click (CPC) that will help you achieve your target.

Conclusion

Machine learning has become an integral part of any successful Google Ads and SEO strategy. It is important for marketing in the future, helping you understand customer behaviour, intent, and preferences, ensuring you produce content that resonates with your audience. If you need help with a customised SEO and Google Ads marketing strategy, the Genie Crawl team is standing by to assist you, helping your business reach new heights online in 2025.