Search engine optimization (SEO) has always been one of the most important activities within digital marketing strategies. Ranking among the top results on Google means increasing traffic, visibility, leads, and potential customers.
Over the past two years, artificial intelligence has brought a major transformation to the world of SEO. Its applications are radically changing the way professionals approach content creation, analysis, ranking strategies, and performance monitoring.
In this article, we will explore how artificial intelligence can be used to improve SEO activities, which tools can support these processes, and how to apply them in practice through effective prompt examples.
1. Advanced Keyword Research and Analysis
To optimize content effectively, it is essential to identify the right keywords. Artificial intelligence can analyze thousands of keyword combinations and variations, using advanced algorithms to study user behavior and identify the words and phrases people use in online searches.
To do this, tools such as ChatGPT, Semrush Keyword Magic Tool, and AnswerThePublic can be used.
Examples of useful prompts for an AI system include:
“Provide me with 20 long-tail keyword combinations based on the term ‘business management software’, including both informational and transactional search queries used by users.”
“What are the most frequently asked questions online about ‘business management software for SMEs’?”
With this approach, artificial intelligence can:
- suggest long-tail and conversational keywords, including voice-search queries
- identify trending keywords
- uncover local or international ranking opportunities
- analyze the search intent behind a keyword
- suggest linguistic or localized variations for international markets
2. Creating SEO-Friendly Content
Once the right keywords have been identified, the next step is to create high-quality content optimized for search engines. AI can help generate copy, suggest the most effective structure, improve readability, and place keywords strategically throughout the content.
Tools such as AlsoAsked make it possible to analyze the actual queries users perform around specific keywords. Content should be developed to answer these real searches rather than relying on assumptions about what users may be looking for based solely on internal knowledge of the customer.
When generating content, marketing teams should work with reliable, data-driven insights.
ChatGPT and other generative AI tools can then be used to create first drafts of SEO-friendly articles with prompts such as:
“Write a 1,000-word SEO-optimized article on ‘how to choose business management software for SMEs’, using an informative tone and including the following keywords: ‘business management software’, ‘business management’, ‘SMEs’, and ‘ERP solutions’.”
AI can help:
- define effective titles and subheadings
- distribute keywords appropriately
- create optimized meta descriptions
- suggest relevant internal and external links
- improve readability and overall SEO quality
3. Technical Content Optimization
A technically well-structured website is essential for achieving strong search engine rankings. Artificial intelligence can help identify and resolve technical issues, improve website speed, and support the creation of optimized assets and site structures.
Example prompt for ChatGPT:
“What are the main technical SEO issues I should check on an e-commerce website?”
Or:
“Generate a list of technical SEO actions to improve a website’s loading speed.”
These recommendations can be combined with tools designed to assess user experience and website performance, such as Lighthouse, a free browser-based tool.
By using these tools, businesses can:
- quickly identify broken links
- measure page loading speed
- optimize images to improve usability and response times
- generate updated sitemaps aligned with the website architecture
- improve usability on mobile devices
4. Localization and Internationalization of SEO Content
For companies operating in international markets, it is essential not only to translate content but also to adapt it to local search habits. Artificial intelligence can support the localization of keywords, titles, descriptions, and SEO-friendly language variants.
A useful prompt could be:
“Adapt the title ‘business management software for SMEs: how to choose the best solution’ into English, French, and German, maintaining an SEO-focused approach and adapting the wording to local search behavior.”
These tools can help companies:
- translate content with an SEO-oriented approach
- localize keywords
- create meta descriptions in different languages
- generate effective titles for each market
- adapt examples and cultural references
5. SEO Monitoring and Performance Analysis
Monitoring performance is essential to understand whether an SEO strategy is working and where improvements can be made. AI can help generate automated reports, highlight critical issues, and suggest practical actions.
A useful prompt for ChatGPT could be:
“Create a concise report of the main KPIs used to monitor the effectiveness of a B2B SEO strategy.”
Or:
“Which pages on my website should I update to improve SEO rankings over the next three months?”
6. The Difference Between SEO for Traditional Search Engines and SEO for AI Systems
Traditional SEO focuses on optimizing content to rank among the top results in Google’s search engine results pages. SEO for AI-powered search systems follows a different principle: becoming a reliable and authoritative source that can be referenced or cited in AI-generated answers.
To increase the chances of being used as a source by systems such as ChatGPT or Perplexity, it is important to:
- create relevant, objective, and clearly written content
- answer the full range of questions a potential customer may ask
- publish guides, practical examples, and instructions
A useful prompt could be:
“Generate the most common questions users ask about ‘business management software for SMEs’ and write clear, comprehensive answers suitable for use as a source by an AI assistant.”
7. SEO and Google AI Overviews
One of the most significant innovations introduced by Google in recent years is AI Overviews, a feature that integrates AI-generated answers directly into search results.
Powered by Google’s AI models, including Gemini, the feature is designed to provide users with concise, immediate, and relevant answers to their queries, sometimes reducing the need to click through to an external website.
Unlike traditional SEO, where the primary goal is to improve rankings for specific keywords, AI Overviews introduce a new objective: becoming a reliable source that can contribute to the generation of the answer itself.
To increase the likelihood of being referenced in an AI Overview, it is useful to:
- structure content as clear answers to frequently asked questions
- use direct, informative language without unnecessary technical jargon
- include definitions, lists, and short, easily extractable paragraphs
- update content regularly
- use appropriate structured data and schema markup where relevant
Example prompt for generating content suitable for an AI Overview:
“Write a concise, objective, and informative paragraph answering the question: ‘What is ERP software for SMEs?’ in a format that could be suitable for an AI-generated search summary.”
Being featured in an AI Overview can provide prominent visibility within the search experience, potentially placing a brand or source above traditional organic results.
This represents a significant strategic shift, requiring companies to design content according to new principles centered on relevance, completeness, clarity, and informational accuracy.
Conclusion
Artificial intelligence is changing the way SEO is carried out. It is not simply about automating or accelerating processes, but about creating content that is increasingly useful, clear, and accessible to both people and algorithms.
Companies and professionals that successfully integrate AI into their SEO processes will be better positioned to increase visibility across both traditional search engines and the new generation of AI-powered search systems.