Another month brings a fresh wave of Google AI updates, and it feels like we’re living through a new internet every quarter. AI has moved beyond being an add-on; it is now the interface that underpins search, ads, images, analytics and even inboxes.
The potential is huge: greater reach, faster execution, and creative scale. But the challenge is focus. With new features launching constantly, it can be hard to know which ones are worth your team’s time and investment.
Cut the fluff and get a plan: here’s the straight-talk guide to what matters, why it matters, and exactly what to do next.
The “10 blue links” still matter, but AI is changing search. Users now see answers first, links second and often continue their journey in a conversational way.
AI Overviews are Google’s new front door (it used to be Featured Snippets). Instead of a simple list of results, searchers now see a stitched-together summary at the top of the page, drawing from multiple sources and pushing traditional search results down.
Early testing from Google suggests they’re doing two things at once:
The impact on your business tells a different story. You may see impressions climb while clicks decline.
Visibility isn’t just about ranking #1 anymore, it’s about being cited in the overview itself so you can capitalise on that space. That means:
Sponsored results now appear inside AI Overviews (already in the US & coming soon to the UK!). These ads sit directly within the answer box and integrate seamlessly with user intent. The best part? You don’t have to set up a new campaign type as your existing Search or Shopping ads can show automatically if they’re relevant.
Think of it as native advertising inside the AI summary. For marketing teams, it’s contextual exposure at exactly the moment the user is most engaged with the answer.
AI Mode is Google’s conversational search experience that lets users move beyond a single query and result. Instead of typing once and clicking away, people can ask follow-up questions, refine their search, and explore related topics in a chat-like flow with answers, context, and links surfaced along the way.
For example:
That’s three separate opportunities for your content or ads to surface if you’re eligible. But if you’re absent from AI Mode’s flow, you’re shut out of the entire multi-turn journey.
This changes keyword planning. Instead of “one query = one shot,” think about intent chains. Where does the user go after the first click? What questions do they ask next? Content that supports that progression has a better chance of being pulled into the conversation.
AI is now fully integrated into Google Ads, and it’s changing how campaigns are built, targeted, and scaled.
The good news? The tools can deliver strong results. The challenge? They need to be used strategically, not blindly.
Pmax campaigns continues to be Google’s multi-channel engine, serving across Search, Display, YouTube, Discover, and Gmail. The difference now is that generative AI can help create the assets.
Soon, you’ll even be able to upload brand guidelines so all AI-generated creatives automatically match your look and feel.
AI Max is like Performance Max, but designed specifically for Search campaigns. It adds three key capabilities:
On average, advertisers enabling AI Max have reported 14% more conversions or conversion value at a similar cost.
Here’s how to use it:
Google is also introducing new AI-driven ad formats:
Google’s AI can now handle much of the heavy lifting for your paid campaigns, from keyword expansion to ad creative to audience targeting. But it’s not a “set and forget” system. To get real value, you need to:
Nano Banana is Google’s flagship image generation and editing model, officially called Gemini 2.5 Flash Image (but that’s way less fun). It’s built for speed, consistency, and creative flexibility.
Here’s what it can do:
Creative bottlenecks are a constant pain: waiting on photo shoots, dealing with back-and-forth revisions, or struggling to scale visuals across campaigns. Nano Banana compresses that cycle into hours.
AI Studio is Google’s lightweight web IDE for experimenting with Gemini models and it gives teams a way to test, validate, and ship AI ideas without a developer backlog.
What AI Studio offers:
Traditionally, experimenting with AI meant waiting in line for dev resources. With AI Studio, marketing and creative teams can validate ideas themselves, then hand over a working stub to engineers if it needs to scale.
Out-of-the-box AI products are great until they aren’t. When you need something tailored to your workflows, Vertex AI is Google Cloud’s platform for training, deploying, and managing custom AI solutions at scale. It gives enterprises access to the same Gemini models powering Google’s own apps, plus APIs for vision, translation, recommendations, and more.
Vertex AI is modular. Alongside Gemini, you can tap into:
The key difference with Vertex AI is flexibility. You don’t need to build models from scratch because Google supplies them. You focus on plugging in your data, defining use cases, and embedding the AI into your workflows. For businesses that have outgrown cookie-cutter solutions, Vertex AI is the step up from experimenting with AI tools to actually transforming how your teams work.
Not every AI update from Google is about ads or creative assets. Some tools are aimed at knowledge work, and NotebookLM is one of the most interesting experiments so far.
NotebookLM is Google’s personalised AI assistant that can be used for research, analysis, and synthesis. Instead of pulling from the entire web like Bard or Gemini, it works off the data you upload. Think reports, strategy decks, case studies, or transcripts.
Once your documents are in, NotebookLM can:
Teams often find themselves drowning in docs: campaign reports, audience research, competitor analysis, and endless meeting notes. NotebookLM acts like an internal analyst that never gets tired. You upload the data, and it helps you find connections, summarise trends, and package insights for your team or clients.
It’s particularly useful for:
Google’s AI ecosystem is impressively big, from search overviews and AI-powered ads to Vertex AI builds and Nano Banana visuals. AI newcomers often feel the urge to go all in, but introducing clear guardrails from the start helps turn that enthusiasm into sustainable success.
Google’s own AI principles (beneficial, fair, safe) aren’t just a blog post. Users care deeply about privacy, bias, and authenticity. If your brand cuts corners with AI, audiences will notice.
Here are some things to keep in mind:
AI should amplify your team, not impersonate it. The best campaigns will come from human creativity scaled by AI efficiency and not from AI trying to play human.
The playbook going forward is simple: experiment early, keep guardrails tight, and use AI to do the heavy lifting so your people can focus on the spark that makes marketing resonate.
Need help navigating Google’s expanding AI toolkit? Get in touch with us and we’ll help you cut through the noise and build strategies that actually move the needle.