A/B testing with AI: automate conversion
Are your experiments no longer boosting your sales? Discover how to generate the best A/B test ideas with AI and learn to automate your experiment...

If you've been following the SEO world for a while, you've probably heard of Google SGE. And if you're still not quite sure what it means or how it might affect your digital business, you're in the right place. The arrival of artificial intelligence in the world's most widely used search engine is no minor shift — it's a structural transformation that affects how users find information, how they interact with results, and ultimately, how businesses achieve organic visibility and conversions.
In this article, we explain what Google SGE is, how it works, what impact it has on SEO, and what strategies you can apply to avoid falling behind. We also explain why, from a CRO and analytics perspective, this isn't just a threat — it's also an opportunity.
Google SGE stands for Search Generative Experience, Google's response to the generative AI revolution in search. Also known as AI Overviews in its more recent iteration, SGE is an AI layer that appears at the top of search results and generates a direct, synthesised, conversational answer drawn from multiple web sources.
Rather than simply showing a list of links, Google uses advanced language models to compose a summary that addresses the user's intent without requiring them to click on any result. The generated response includes references to the original sources, though these appear in a compressed, secondary format relative to the AI block.
SGE started as an experiment in Google Search Labs in 2023 and has since been progressively rolling out across multiple markets, including Europe. Today it is a reality for millions of informational, educational, and commercial searches.
Google SGE relies on Google's large language models (such as Gemini) to analyse the user's query and generate a contextual, structured response. The process, in simplified terms, works as follows:
The system identifies the intent behind the search — whether the user wants to learn something, compare options, make a decision, or take an action. From there, it crawls and analyses multiple web pages that Google considers relevant and reliable for that query. Using that information, it generates a cohesive text that directly answers the question, sometimes including lists, steps, or comparisons.
What makes SGE especially significant is that it isn't limited to a static response: the AI block allows the user to ask follow-up questions in a conversational way, without leaving the results page. It is, in essence, a search assistant integrated directly into Google.
Pages that are cited as sources within the SGE block do receive visibility, but in a different way from the traditional model: they appear as small reference cards that the user may or may not choose to explore. The logic of clicks changes entirely.
This is the point that concerns digital marketing professionals and businesses with organic presence the most. And for good reason. The impact of Google SGE on SEO is real and significant, although its scope varies depending on the type of searches and the sector.
The most well-documented effect is a drop in CTR (click-through rate) for informational searches. When Google directly answers a question in the AI block, a significant portion of users no longer feels the need to click on any result. This particularly affects content such as guides, definitions, tutorials, or comparisons — the type of content that historically attracted quality organic traffic.
On the other hand, searches with transactional or local intent — those where the user wants to buy, hire, or find a nearby business — continue to generate classic results and retain their CTR more effectively. In these categories, SGE does not dominate the result in the same way.
Another key change relates to authority. Google SGE prioritises sources it perceives as trustworthy, with up-to-date, well-structured content and clear signals of experience and expertise. The concept of E-E-A-T (Experience, Expertise, Authoritativeness, and Trustworthiness) carries even more weight than before. Brands that previously ranked well on the basis of content volume alone, without a clear authority architecture, will see their visibility erode.
Keyword density is no longer the central factor. What matters is responding precisely and in depth to specific search intents.
Adapting to Google SGE doesn't mean starting from scratch. It means evolving your content and SEO strategy towards a model more focused on intent, authority, and structure. These are the most effective levers:
Optimise to be cited in the SGE block. To appear as a source in generated responses, content must answer specific questions clearly and directly. Structured formats — such as lists, concise answers, comparison tables, or numbered steps — are more likely to be selected.
Strengthen E-E-A-T signals. Publishing content authored by individuals with verifiable experience, including proprietary data or real case studies, and displaying clear credentials helps Google perceive the source as trustworthy. In sectors like finance, health, or digital marketing, this is especially critical.
Focus on long-tail and highly specific searches. Very specific or niche queries are less likely to be fully absorbed by SGE. Content that addresses the very specific need of a well-defined profile still has organic reach.
Invest in technical SEO and page load speed. Google continues to value page experience. A fast, well-structured site with proper schema markup has a better chance of being correctly crawled and indexed for SGE.
Diversify acquisition channels. Relying exclusively on informational organic traffic becomes riskier. Complementing with transactional SEO, paid search, social media, or email marketing is a more resilient strategy in this new context.
This is where a different perspective comes in — and it's the one that interests us most at Boost. Beyond the impact on traffic volume, SGE changes the quality and profile of the traffic that reaches your website. And that has direct implications for conversion.
If the AI block filters out the more informational and superficial searches, the traffic that does click through to your site carries, on average, a more qualified intent. The user who scrolls past the SGE summary and still decides to visit your page does so with a clearer purpose. This can translate into better conversion rates if your content and page experience are aligned with that higher-quality intent.
For clients like Catalonia Hotels or DogfyDiet, with established organic acquisition strategies, the challenge is precisely this: analysing how the profile of the user arriving from search is changing, identifying any shifts in on-page behaviour, and adjusting conversion touchpoints accordingly.
AI-powered conversion optimisation becomes even more relevant when the nature of traffic changes. It's not just about attracting more visits — it's about better understanding who arrives and why, and designing experiences that convert that more qualified traffic into real customers.
Furthermore, SGE opens up opportunities in content strategy: brands that manage to appear as cited sources in the AI block gain brand visibility even without receiving a direct click. Over the long term, that presence builds recognition and trust — two factors that ultimately have a positive impact on conversion.
If you want to understand how to apply artificial intelligence in your digital strategy or how AI can drive your business forward, at Boost we can help you map that path with real data.
The short answer is: no. But it is changing in a deep and accelerating way.
Traditional SEO based on keyword volume, text density, and backlink quantity is losing relevance in favour of a model where the quality of the response, the authority of the source, and the structure of the content are the determining factors. This isn't the end of SEO — it's its evolution.
Transactional, local, and comparison-driven searches — those that require a purchase decision — continue to generate classic results where SEO remains decisive. Brand content, case studies, service pages, and specific landing pages retain their strategic value.
What is clear is that inertia no longer works. Businesses that built their organic traffic on the back of generic, low-value content will see SGE erode that volume. Those that invested in authority, specificity, and a content architecture oriented around user intent will emerge stronger.
In short, SEO does not disappear with Google's AI. It becomes more demanding, more strategic, and closer to what it always should have been: creating useful, reliable, and well-structured content for real people.
At Boost, we've spent years helping businesses understand their data and make better decisions. If you want to find out how to adapt your digital strategy to the new Google SGE landscape — from SEO to conversion — let's talk.
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