AI SEO: What Are We Facing?

On 4 December 2024, Sundar Pichai, CEO of Google, stated that in 2025 Google will give its search engine a complete overhaul. Its strategy is to adapt to the advances OpenAI is making. This is also reflected in the latest news about Gemini 2.0, which will change how we use not only an AI-integrated search engine, but automation features too. For this reason, when working on rankings, traditional strategies are no longer enough; we have to implement AI SEO.  

Why should you use an AI SEO strategy?

Integrating AI into SEO strategies offers a significant advantage in terms of efficiency and precision. AI can process and analyse large amounts of data in real time, allowing more effective and adaptive optimisation of web content. This advanced analytical capability allows companies to:

1. Identify user behaviour patterns that would be difficult to detect manually.
2. Predict search trends and adapt content proactively.
3. Automate repetitive tasks, freeing up time for more creative strategies.
4. Personalise the user experience to an unprecedented degree.

AI not only improves operational efficiency, but also provides deeper, more precise insights that can make the difference between being on the first page of search results or getting lost in the depths of the internet. On top of that, by integrating these strategies and focusing on Google’s latest developments, Google will detect your content as easier for it to understand.  

SEO fundamentals

Before going deeper into how AI is revolutionising SEO, it is essential to understand the basic pillars of SEO. These fundamentals remain relevant even in the AI era, as they form the foundation on which the most advanced strategies are built.

• Keyword Research: Keyword research is the starting point of any effective SEO strategy. It consists of identifying the terms and phrases users use to search for content related to your business.
• On-Page SEO: On-page SEO refers to the optimisation of elements within your website. These elements include: titles, meta descriptions, content structure, image optimisation.
• Technical SEO: Technical SEO focuses on the aspects of the website that directly affect its performance and its ability to be indexed by search engines. Some key elements include: loading speed, site structure, mobile-friendliness.
• Off-Page SEO: Off-page SEO refers to the actions taken outside your own website to improve its authority and relevance. The main strategy here is building quality links.

 

Advantages and disadvantages of working on SEO with AI

Implementing AI in SEO strategies offers numerous benefits, but it also presents some challenges that are important to consider.

Advantages:

1. Faster, more accurate data analysis: AI can process enormous amounts of data in a matter of seconds, identifying patterns and trends that could take a human team days or weeks.
2. Advanced content personalisation: AI can analyse user behaviour and adapt content in real time, improving relevance and the user experience.
3. Continuous, adaptive optimisation: AI algorithms can constantly adjust SEO strategies based on changes in search patterns and user behaviour.
4. Trend prediction: AI can anticipate changes in search trends, allowing companies to prepare in advance.
5. Automation of repetitive tasks: It frees up time and resources so SEO professionals can focus on more strategic and creative tasks.

 

Disadvantages:

1. Possible over-reliance on technology: There is a risk of trusting automated solutions too much and losing the human touch in the strategy.
2. Need for human supervision: To guarantee the quality and relevance of content, human intervention is still necessary.
3. Initial costs: Implementing AI solutions may require a significant investment in technology and training.
4. Complexity: Integrating AI into SEO strategies can be complex and require specialist knowledge.
5. Risk of over-optimisation: AI could lead to excessive optimisation if not configured correctly, which could be penalised by search engines.

 

How do generative AIs work?

Before launching our AI SEO strategy, we need to know how generative AIs work. This type of technology uses advanced deep learning techniques to process and generate text conversationally. These tools are designed to understand context and generate coherent, relevant answers. Key characteristics:

• Continuous learning: These AIs are constantly evolving, improving their ability to understand and generate relevant content as they interact with more data and users.
• Natural language processing (NLP): They use advanced NLP techniques to understand the subtleties of human language, including context, tone and nuance.
• Pattern-based text generation: They analyse patterns in large text datasets to generate new, original content.
• Adaptability: They can adjust to different writing styles and tones according to the user’s needs.

   

Implementing AI SEO

AI can significantly improve several aspects of your SEO strategy:

Keyword Research

AI can revolutionise the keyword research process:

• Semantic analysis: It identifies related keywords and semantic variations that might be overlooked in a traditional analysis.
• Trend prediction: It uses predictive models to identify emerging keywords before they become highly competitive.
• Smart clustering: It automatically organises keywords into relevant topic groups for a more coherent content strategy.

Trend Analysis

AI tools can predict emerging trends, allowing you to create content that anticipates users’ needs:

• Real-time monitoring: It analyses social media conversations and searches in real time to identify emerging topics of interest.
• Predictive analysis: It uses historical data and current patterns to forecast future topics of interest in your industry.
• Identifying content gaps: It discovers under-explored topic areas that represent opportunities for your content strategy.

Content Creation

AI can assist in generating SEO-optimised content:

• Draft generation: It produces initial drafts based on specific keywords and topics, saving time in the ideation phase.
• Title and meta description optimisation: It suggests optimised variations to improve CTR in the search results.
• Readability analysis: It evaluates and suggests improvements to the structure and clarity of content to improve the user experience.

Competitor Analysis

AI-based tools can carry out an exhaustive analysis of the competition:

• Automatic benchmarking: It compares your site with competitors across multiple SEO metrics simultaneously.
• Backlink identification: It discovers link opportunities based on your competitors’ backlink profiles.
• Content analysis: It identifies the types of content and topics that are performing best in your niche.

 

Ensuring a high-quality AI SEO strategy

To guarantee that your AI SEO strategy is effective:

1. Use tools with integrated AI: Platforms such as Semrush or Yoast SEO offer in-depth AI-based analysis that can provide valuable insights for your strategy.
2. Implement a solid prompt engineering methodology: Develop the skills to create effective prompts that get the best results from generative AIs.
3. Carry out human verification: Review and edit AI-generated content to maintain authenticity and relevance, making sure it aligns with your brand’s voice and values.
4. Combine AI with human expertise: Use AI as a support tool, not as a replacement for human judgement and creativity.
5. Stay up to date: AI technologies evolve rapidly. Keep up with the latest trends and updates in the field of SEO and AI.

 

Prompt Engineering: the key to optimising the use of AI in SEO

Prompt engineering is crucial to getting the best results from generative AIs. Some tips for creating effective prompts:

• Be specific in your instructions: The more detailed your prompt, the more precise the AI’s answer will be.
• Provide relevant context: Include information about your target audience, the desired tone and any specific constraints.
• Use clear, direct language: Avoid ambiguity and be concise in your instructions.
• Experiment with different formats: Try structuring your prompts in different ways to see what works best.
• Iterate and refine: Use the initial results to improve your prompts in future interactions.

It is vital to be clear about the structure your prompt should have. This one, which we created and use ourselves, has worked for us to, for example, generate content already optimised with the keywords, generate ideas for a blog and then create the content from those ideas.

 

Best generative AIs for SEO

Some of the most powerful generative AIs for SEO include:

• Gemini: Google’s latest AI, which offers advanced multimodal capabilities.
• ChatGPT: Known for its ability to generate coherent, relevant text in a variety of styles.
• Perplexity: An AI specialising in search and information analysis, useful for SEO research.

These tools can help you generate ideas, optimise content and analyse SEO data more efficiently.

SGE: the evolution of AI SEO

As we said at the beginning of the article, Google is going to completely change its search paradigm. A clear example is SGE (Search Generative Experience). It has already implemented AI in its search results through SGE, which would change the ranking paradigm. That is why we believe in the importance of implementing AI SEO right now, so that this change is not so abrupt for your website. It will also make it easier for Google to read, since you will be working from an AI-based format from the start, which is how it operates:

• AI-generated answers: Search results could include AI-generated summaries, which means adapting content to be “AI-friendly”.
• Emphasis on user intent: AI will better interpret the intent behind searches, requiring more specific and relevant content.
• Increased interactivity: Searches could become more conversational, which means optimising for follow-up questions and broader contexts.

Implementing an AI SEO strategy in your business

To implement AI SEO effectively in your business, it is important to bear these considerations in mind beforehand.

1. Evaluate your specific SEO needs: Identify the areas where AI can have the greatest impact on your current strategy.
2. Select the right AI tools: Research and choose the tools that best fit your objectives and budget.
3. Train your team: Make sure your team is well trained in using these tools and interpreting their results.
4. Integrate gradually: Start with pilot projects before a large-scale implementation.
5. Monitor and adjust: Set clear KPIs and adjust your strategy based on the results obtained.
6. Keep a balance: Combine the efficiency of AI with human creativity and judgement to get the best results.
7. Stay ethical: Make sure the use of AI in your SEO strategy complies with ethical best practice and the

Final conclusions:

Just as the future of Google anticipates, having an AI SEO strategy is going to be vital to adapt to the changes that are coming, not only what Google and SGE have suggested, but even the searches carried out from ChatGPT. After everything we have analysed, it is clear that AI SEO is neither a fad nor a luxury, but a necessity for any business that wants to stay competitive in the digital environment. In short, AI SEO opens up a world of possibilities to stand out in an increasingly competitive market. But remember: it is not just about adopting advanced technology, but about integrating it wisely with your strategic vision and human creativity. If you want to stay relevant in this new era of digital marketing, start exploring the opportunities artificial intelligence can offer you today. The future is here!

If you want to implement this type of strategy, do not hesitate to contact us!

Want AI to cite your brand? That is exactly what we do in our SEO for AI (GEO) service: a fixed panel of prompts, entity correction and monthly citation measurement.