AI-powered search features are becoming increasingly common across search engines such as Google, Bing and ChatGPT Search. While traditional organic listings remain important, AI-generated summaries are now appearing for many searches and are changing how users discover information. In this blog, we’re looking into how to rank in AI search results.
What is AI search visibility?
AI search uses artificial intelligence and machine learning to understand search queries better, focusing on their intent and therefore presenting you with the most relevant information.
Traditionally, search engines responded to queries by displaying a list of relevant web pages alongside a short description of each page. These organic search results remain an important part of the search experience, although AI-generated summaries now appear above them for many queries.
AI search systems retrieve information from search indexes and other trusted sources before generating concise answers, often including links to the websites they used.
Search engines have evolved from relying heavily on keyword matching to using increasingly sophisticated semantic understanding. Modern AI search builds on these advances by interpreting context, intent and relationships between concepts.
AI-powered search experiences are more conversational, allowing users to ask follow-up questions without having to repeat context. This makes it easier to explore topics in greater depth.
How does AI search work?
AI search combines several technologies to understand queries, retrieve relevant information and generate useful responses.
- Natural Language Processing (NLP): To understand human language
- Large Language Models (LLM): To generate quality AI responses
- Retrieval-based grounding (including RAG): To gain accurate information and ground responses
- Live Citations: To make fact-checking easier for users using an AI summary
Ranking in AI-generated search results
To successfully rank in AI search results, businesses must continue to do what they have always done: build authority on their websites and ensure their content is relevant to keywords and queries.
Businesses should continue following SEO best practices while also considering approaches often referred to as Generative Engine Optimisation (GEO) and Answer Engine Optimisation (AEO). These industry terms describe techniques for creating content that AI systems can easily understand and reference.
Research suggests that many websites referenced in AI-generated search results already perform well in traditional organic search. However, AI systems can also cite highly relevant sources that don’t rank first. Not only does this increase trust in the websites selected to appear, but it also underscores the importance of keeping traditional SEO practices a priority.
Rather than relying solely on rankings, AI systems also look for content that directly answers a user’s question in a clear, trustworthy and well-structured way.
Any adaptations to focus on AI search must be backed by robust data; otherwise, you risk wasting time and money and getting worse results than when you started.
Structure content for AI search engines
To improve your visibility in AI-generated search results, it’s important to ensure your content is well-structured. AI systems look for clear, well-organised information rather than long, unfocused content.
Begin important pages with a concise summary that clearly explains the topic and answers the main question. This improves readability for users and can make it easier for search engines and AI systems to identify key information.
Where appropriate, use descriptive headings that reflect the questions your audience is asking, rather than generic titles. This applies to service pages, blog posts, landing pages and more.
Always use shorter sections when writing text, rather than just one bulk section. Break text up so that it’s easier to digest, whether that be through paragraphs or lists.
Show authority with accurate information
AI systems often favour content that demonstrates first-hand expertise or provides unique value, such as original research, case studies, data, or expert insights from founders and subject-matter experts. Content that offers genuinely new information is more valuable than simply repeating what already exists elsewhere.
Another way to ensure clear information is to reduce industry jargon. Instead of using industry-specific language that not everyone understands, you can use simpler, clearer terms that engage more people.
Google’s Search Quality Evaluator Guidelines emphasise Experience, Expertise, Authoritativeness and Trustworthiness (E-E-A-T). While E-E-A-T is not a direct ranking factor, demonstrating these qualities can help build credibility with both users and search engines. A simple way to reach this is by including relevant information about the people at your company. It could include their name, the publication date, any qualifications and a short bio.
Create genuinely useful content
AI search systems are designed to surface content that provides clear, accurate and genuinely helpful answers. Focus on creating original content that demonstrates expertise, answers real customer questions and offers unique insights rather than simply repeating information found elsewhere. Read our blog on SEO ranking factors.
Build an external presence for AI-powered search
Google and other search engines use a range of signals to assess authority and credibility. Building your brand’s reputation through high-quality backlinks, expert mentions, digital PR, citations and reputable third-party coverage can strengthen your website’s authority.
Ensure technical SEO for AI platforms
Businesses should ensure content is structured correctly, for example, using schema markup for FAQs, products and more.
You should also ensure that your website focuses on Google’s Core Web Vitals. This means ensuring fast load times, website stability and responsiveness. Providing a fast, stable and responsive user experience can contribute to stronger search performance and improve the overall experience for visitors. Read our blog on how to improve website speed.
Structured data helps search engines better understand your content and may improve eligibility for certain search features. Although schema markup isn’t required for AI-generated search results, it remains an important technical SEO best practice.
The fundamentals of SEO haven’t changed, but the way people discover content has. Businesses that create accurate, well-structured, authoritative content while maintaining strong technical SEO will be best placed to succeed in both traditional search and AI-powered search experiences.
Rather than chasing quick fixes, focus on creating genuinely useful content that answers your audience’s questions clearly and demonstrates real expertise.
At Complete Dubai, we consistently stay ahead of SEO trends, ensuring our clients remain at the forefront of their industry. We build every website with a positive user experience, and our marketing team consistently follows SEO best practices.
Are you searching for a reliable digital agency that can support your goals? Contact us today to find out how we can improve your visibility across both AI-powered search experiences and traditional organic search.