TL;DR: Google has made two announcements over four weeks that change how organic search works.
On 19 May 2026 at I/O, Google introduced the biggest upgrade to its Search box in over 25 years, alongside AI Mode crossing one billion monthly users, new Search agents that book and call businesses on a user’s behalf, and agentic coding that builds custom interfaces inside Search.
On 3 June 2026, Google added dedicated AI impression data in Search Console and an opt-out toggle for AI Search features, currently rolling out to a subset of UK site owners with no confirmed Australian timeline.
These announcements signal that AI is no longer a feature inside Search. AI is becoming the search experience.
Two Google Search announcements in one month
Most businesses have heard about one of these announcements but not the other. The I/O 2026 keynote on 19 May got the attention from the tech press. The Search Console update on 3 June got picked up by the SEO community. Almost no commentary has connected them as two halves of the same story but they should.
Google is rebuilding the Search experience around AI for users, then giving site owners a limited view of what’s happening inside that experience. For the established businesses we work with at JBE Digital, both announcements change how visibility is earned, measured and protected.
Announcement One: I/O 2026 – 19 May
The Google Search I/O announcement was delivered by Liz Reid, VP of Search, and covered the user-facing changes to how Search works. Here are the five things we see that matter:
The new AI Search box
The Google Search box has been more or less the same input field since 1998. At I/O 2026, Google replaced it with what they call the intelligent Search box, which they described as the biggest upgrade to the Search box in over 25 years.
The new box expands dynamically as you type, giving room to describe complex queries in full. It offers AI-powered suggestions that go well beyond autocomplete, anticipating intent rather than matching strings. And it accepts multimodal inputs across text, images, files, videos and Chrome tabs. This is now rolling out globally in every country and language where AI Mode is available, which includes Australia.
Users are no longer compressing their needs into three-to-five-word keyword strings, they’re describing the full context of what they want. Search results are increasingly shaped by complete sentences, intent and context.
AI Mode crosses one billion monthly users
Some scale numbers from Google’s I/O announcement put the moment in perspective. AI Mode has surpassed one billion monthly users, with queries more than doubling every quarter since launch. AI Overviews has over 2.5 billion monthly active users. Last quarter, total Search queries reached an all-time high (SEO is not dead).
People are searching more often and a growing share of those searches are being answered inside AI features before the user ever clicks through to a website.
This is the environment our SEO work has been adapting to since the AI Overviews rollout.
Search agents arrive
Google introduced Search agents at I/O. These are AI agents operating inside Search, running tasks in the background for the user. Information agents monitor the web 24/7 for things a user has asked them to track. Apartment listings matching specific criteria. New sneaker drops from particular athletes. Price changes on specific products. The agent synthesises an update when something relevant happens. Information agents launch first for Google AI Pro and Ultra subscribers this summer.
Agentic booking is expanding to local services too, a user can specify exactly what they want and Search will surface options with pricing and availability, linking out to the provider to finish the booking.
For categories including home repair, beauty and pet care, Google can call businesses on the user’s behalf to gather quotes or check availability. Rolling out across the US this summer. For service businesses in those categories, the infrastructure that supports this, structured data, clear availability, accurate phone routing, will start to matter the way mobile-friendly design did in 2015.
Agentic coding inside Search
The most ambitious I/O announcement was agentic coding inside Search, powered by Gemini 3.5 Flash and Google Antigravity. Search can now build custom interfaces on the fly, generating visual layouts, interactive simulations, tables and graphs tailored to a single query.
For ongoing tasks like planning a wedding or managing a home renovation, Search can build custom dashboards or trackers the user comes back to.
Google is calling these ‘mini apps’. These capabilities will start rolling out to Google AI Pro and Ultra subscribers in the US in the coming months. The family budget/planner, the upcoming holiday, can all now be planned, researched, purchased and tracked in Google.
Search is no longer ten blue links pointing to other people’s websites. Search is increasingly a destination that builds custom interfaces from web content, including yours.
Personal Intelligence expands
Personal Intelligence in AI Mode is now rolling out across nearly 200 countries and 98 languages, with no subscription required. Users can securely connect Gmail and Google Photos, with Google Calendar coming soon. The buying journey is starting to happen inside Search with full personal context. The AI knows the user’s inbox, calendar, photos and preferences instantly and the brand surfaced inside that contextual answer is the one the user is most likely to choose.
Announcement Two: Search Console Controls and Data – 3 June
The 3 June announcement came from Mrinalini Loew, GM of Google Search Ecosystem, and was directed at site owners. It introduced two things: a new performance report and an opt-out toggle.
The new AI performance report in Search Console
For the first time, site owners can see impression data for AI Overviews, AI Mode and generative AI features in Discover, broken down by page, country, device and date with hourly granularity. Impression data starts from 18 May 2026 going forward. The report does not yet include click data or query-level data so it’s unconfirmed how useful this will be.
Site owners can see their content appeared inside an AI feature. They can’t see what someone searched, or whether they clicked through.
The rollout is currently limited to a subset of UK site owners, driven by regulatory pressure from the UK’s Competition and Markets Authority.
There is no confirmed timeline for Australian site owners yet, though we expect rollout to follow within the year. Once this data lands in Australia it will give us a measurable feedback loop for AI visibility (on Google) for the first time.
The AI Search opt-out toggle
The same announcement introduced a toggle in Search Console that lets site owners choose whether their content appears in generative AI Search features. Sites that opt out will not receive traffic or impressions from those features. Google has been explicit that this toggle is not used as a ranking signal for regular organic search.
For established service businesses, ecommerce operators and local businesses opting out makes no sense obviously, the traffic loss is real and the upside is unclear. Opting out is mostly a publisher decision, driven by content licensing concerns.
What This Means for SEO, AEO and GEO
Search is splitting into three overlapping disciplines that we’ve been writing about for over a year. Traditional SEO continues to drive baseline organic visibility through Google’s classic ranking systems. Answer Engine Optimisation (AEO) is the practice of structuring content so AI systems extract and cite it inside AI Overviews and AI Mode. Generative Engine Optimisation (GEO) extends that work across ChatGPT, Perplexity, Gemini and the rest of the generative AI ecosystem.
These layers compound and the work that drives traditional rankings, depth, expertise, structured content, authoritative third-party mentions, is also the work that earns AI citations.
Our AI SEO page covers the mechanics in more detail, including how AI systems select sources and what businesses can do to be part of the answer layer.
Paid layers inside AI surfaces are getting larger too, we’ve been running ChatGPT Ads for ourselves and clients on the pilot program and the same logic will apply across Google’s AI features as they mature.
Frequently Asked Questions
What is the new Google AI Search box?
The intelligent Search box, announced at Google I/O on 19 May 2026, is the biggest upgrade to the Google Search box in over 25 years. It expands dynamically as users type, offers AI-powered intent suggestions, and accepts multimodal inputs including text, images, files, videos and Chrome tabs. It is now available in all countries and languages where AI Mode is operational, including Australia.
When will the new AI performance report in Search Console reach Australia?
Google has not confirmed a timeline. The initial rollout on 3 June 2026 was limited to a subset of UK site owners, driven by regulatory pressure from the UK’s Competition and Markets Authority. We expect rollout to expand to Australia within the year, though it could be sooner if regulatory or competitive pressure accelerates Google’s hand.
Should my business opt out of Google’s AI Search features?
For established service businesses, ecommerce operators and local businesses, no. The traffic loss is real and the strategic upside is unclear. Opting out makes more sense for publishers worried about content licensing, not for businesses trying to be found. The toggle is also explicitly not a ranking signal for traditional organic search, so opting in does not penalise non-AI visibility.
What is the difference between AI Mode and AI Overviews?
AI Overviews are the AI-generated answers that appear at the top of regular Google Search results. AI Mode is a dedicated conversational interface, designed for back-and-forth questioning with full context retention. AI Overviews has over 2.5 billion monthly active users. AI Mode has surpassed one billion monthly users, with queries more than doubling every quarter since launch.
How do I optimise my business for AI Mode and AI Overviews?
The signals that drive AI citations are the same signals that drive traditional rankings, applied more strictly. Structured content that answers complete questions with depth. Strong third-party brand mentions and citations across multiple platforms. Real expertise demonstrated through authoritative content. Schema markup that makes content machine-readable. Our AI SEO work covers the mechanics in more depth.
Where does this fit in the Trust Layer?
The shift to AI Search makes the Trust Layer framework more important, not less. AI systems are increasingly selecting which brands appear inside answers based on accumulated trust signals. The Formation stage (proof, authority, expertise) directly feeds Distribution into AI surfaces. Businesses with thin trust foundations disappear inside AI answers. Businesses with strong ones get cited.
The Strategic Implication
Most businesses are responding to AI Search the same way they responded to mobile-first indexing in 2018: as a separate channel that needs separate work. It isn’t. The new AI Search box, the agents booking on behalf of users, the mini apps Search builds on the fly, the Search Console reports that finally measure AI visibility, these are all expressions of the same underlying shift. AI is doing more of the work between a buyer’s question and a buying decision. The brands cited inside that work win.
The work that wins is not new. Depth over thinness. Expertise over generic content. Third-party validation over self-claimed authority. Structured data over invisible HTML. The brands that compound through this shift are the ones with the engine already built for it. The ones still treating AI as a separate channel will keep paying the hidden trust tax that comes with being invisible in the answers people actually see.
