How to Use Google Search Generative Experience

What if you could grasp the core of a complex topic without sifting through endless links? In this post, we’re going to explore how Google Search Generative Experience (SGE) uses generative AI within Google Search to produce AI Overviews.

Hop, skip, and jump around:

What is Search Generative Experience and Google Search Labs?

Google introduced SGE as a feature that uses LLMs (large language models) to interpret your query and deliver a snapshot of key points at the top of your search results page.

This approach, accessible through Google Search Labs—a program that gives users early access to Google’s early AI-powered tools—aims at improving search by delivering users context faster. It’s a shift that could change how people find relevant info and help them dive deeper into topics without the need for endless clicking.

Google SGE is part of a new era of search, and while its SGE is currently in test mode, these steps show that Google uses this tech to refine the search experience.

By merging GenAI models with standard search engine results, you see both a quick AI response and traditional organic results side by side. This multi-view approach encourages you to search alongside other results and gather trusted data before making decisions.

Find the AI tool and technology you need Google Labs 09 12 2025 03 02 PM scaled
Find out how Geeky Tech merges SEO and GEO for maximum brand visibility.
mark2 e1765558213733
1: Check Your Google Account and Google Search Labs

Make sure you’re signed into a valid Google account. Access Google Search Labs—which often shows up on chrome desktop and the Google app—to see if experiment access is available.

2: Opt In to Access SGE

Within Google Search Labs, turn on Google SGE and follow the on-screen steps. Now, when you enter a query, you may see generative AI search results. This might include a single search AI Overviews, a conversational layout, and additional generative AI features. Since it uses AI-powered generative models, the system can offer richer insights than standard search methods.

3: Refine and Improve

As SGE is also evolving, understand that there are known limitations with AI-powered generative models. Verify information in those results using traditional search results or organic search results to confirm facts. Over time, this will lead to improving search quality and help you adapt as SGE could become a key driver of your online strategy.

How to Access Google SGE and Improve Your Search Results

You can gain access to SGE by adjusting settings in the Google Search Labs tied to your Google account. Once inside, you can experiment with Google SGE features designed for improving search result relevance. 

For instance, if you’re exploring modern tech trends, you can run a query and get AI Overviews that summarizes emerging concepts, then scan the results page for deeper insights. By balancing AI into search with your own expertise, you can shape content that resonates with niche B2B audiences. 

We help users leverage SGE results to form sharper messaging. Instead of guessing which keywords might work, we’ll help you interpret data that SGE is trained on and align it with your buyer’s needs. 

How to Use SGE for a Better Search Experience

When it comes to using SGE, the Google AI-driven search experience can enhance your search experience by delivering a snapshot that cuts research time. 

For a B2B SaaS firm exploring DevOps tools, a generative AI AI Overviews might list top options and their pros and cons right on the search results page. Then, as you refine your search queries, you may discover a shopping experience enriched by Google images or even Google workspace links to related docs, all surfaced alongside other results and features.

Geeky Tech can help here by turning these insights into marketing content that hits home. We know how to use these experiments in search to guide your editorial calendar. 

If SGE may highlight a particular tool as top-tier, we’ll help you craft a thought leadership post about it, integrate it into your inbound funnel, and align that content with your SEO strategy—making the most of neural-based creative modeling capabilities in search for long-term gains.

How to Apply SGE to Your Marketing Strategy

With Google’s AI-driven search experience and Google’s SGE, you can see how AI search informs your brand’s angle. Perhaps you run a hardware startup seeking an edge over bigger competitors. 

By using machine-generated output tools and observing the engine results pages, you can shape your messaging and product pages. If the AI generated snapshot shows a gap in the market—maybe a key feature that no one is discussing—you can exploit that angle through smart, data-driven content.

At Geeky Tech, we don’t just help you plug in Google’s AI and hope for the best. We show you how to interpret intelligence-driven content briefs, parse through LLMs, and connect the dots between what users seek and what you provide. With our guidance, the new era of search shifts from a novelty to a strategic asset.

Test it Yourself: A Google Search Labs Experiment on Chrome Desktop and the Google App

  • Open Google on Chrome Desktop: Ensure you’ve enabled Google Search Labs and Google SGE.
  • Enter a Query: For example, “How does edge computing differ from cloud computing for B2B solutions?”
  • Observe How the AI Presents a Snapshot: Note the AI Overviews. Does the AI response highlight a known gap or a promising angle?
  • Compare with Organic Results: Scroll down to check traditional search results, relevant search findings, and engine results pages.
  • Next Steps: Use these findings as a springboard to shape your messaging or guide your product decisions. As Google noted, continuous feedback will refine these tools, meaning changing the search landscape is ongoing.

Geeky Tech can interpret these results for you. By connecting AI-powered generative models and  LLMs insights to a broader content strategy, we help you pivot faster. Whether it’s a search ranking challenge or tapping into advanced creative machine learning capabilities for deep market insight, we ensure these tools pay off. 

Google Search Labs

How to Improve Search with Google’s SGE

Google introduced a vision where AI into search fosters deeper context, uses generative AI to improve relevance, and encourages you to dive deeper into markets, tech stacks, and product niches. As SGE is still evolving, it opens doors for new algorithmic content production capabilities that help you adapt to user demands and stay ahead in search engine strategy.

Geeky Tech helps you embrace these shifts. With us, you’ll not only use Google’s Google generative AI-powered search but also translate its insights into clear, actionable plans. 

We ensure you leverage the full power of Google’s AI—from the data that SGE is trained on to the practicalities of Google Search Labs experiment—so your brand thrives as the search engine results page transforms. 

Maximise Google SGE for Your B2B Tech Business

Ready to enhance your Google’s search generative experience (SGE) with generative AI? Geeky Tech can help you enable SGE, refine your search queries, and use AI Overviews to boost your Google search results.

Schedule a call with a Geeky Tech strategist for a live website audit.
alan ai2