TL;DR
At its I/O 2026 conference in May, Google reintroduced Search around artificial intelligence: a redesigned, multimodal search box the company called its biggest change to Search in more than 25 years, and a new class of “information agents” that run in the background around the clock, reasoning across news, blogs and social posts to alert people the moment something relevant changes. For APAC communications and marketing leaders, the headline is not really about search boxes. It is that Google has just shipped, as a consumer feature, a rough version of what dedicated media monitoring has done professionally for two decades: watch everything, all the time, and tell you when your name comes up.
This matters for reputation monitoring in two distinct ways. First, an information agent set up by a journalist, an investor, a regulator or a customer can now surface a mention of your brand without that person ever running a manual search on you. Second, AI Overviews and AI Mode, which Google says now reach 2.5 billion and more than 1 billion monthly users respectively, are increasingly the layer people read before they click through to any website at all, which changes what “visibility” means for a reputation team.
This is a fast-moving, still-unfolding product change, and the rollout is staged rather than universal. What follows is a plain-language breakdown of what actually changed, what it means for how APAC brands should think about online reputation monitoring, and where the two problems (AI search visibility and reputation monitoring) now overlap almost completely.
In This Article
Three changes matter most for anyone watching brand or organizational reputation online.
A new AI-powered search box. Google replaced the familiar keyword box with a dynamically expanding, multimodal input that accepts text, images, files, video and even open Chrome tabs, running on its Gemini 3.5 Flash model. It is designed for longer, conversational questions rather than two- or three-word keyword strings.
Information agents. This is the feature communications teams should pay closest attention to. Users can now brief a persistent AI agent once, on any topic, and have it monitor blogs, news sites, social posts and real-time data continuously, then push a synthesized update when something changes, without the user searching again. Google has described the feature as the next evolution of Google Alerts, its 2003-era notification tool, rebuilt with a language model’s capacity for reasoning and nuance. Information agents began rolling out in June to Google AI Ultra subscribers in the US, with wider Pro-tier and international availability expected through the rest of 2026.
AI Overviews and AI Mode at scale. Google reports AI Overviews, the AI-written summaries that sit above traditional results, now reach roughly 2.5 billion monthly users, while AI Mode, its more conversational search experience, has passed 1 billion monthly users with query volume more than doubling every quarter since launch. Traditional links have not disappeared, but for a growing share of searches they are no longer the first thing a person sees or acts on.
Independent reporting on the announcement has also flagged the flip side: referral traffic from Search to outside websites, already declining as AI Overviews expanded, is likely to fall further as agents and generative answers absorb more of what used to be a click. Regulators are watching too; the European Commission’s Digital Markets Act now requires Google to share anonymized search data with rival search and AI providers, with a compliance deadline of 27 July 2026, a sign that scrutiny of how AI-mediated search handles data is only going to increase.
Read as a reputation-monitoring problem rather than a search-product update, the I/O 2026 changes map fairly cleanly onto capabilities media intelligence teams already build for. The table below sets out the connection.
| Google 2026 change | What it means for reputation monitoring | Existing media-intelligence equivalent |
|---|---|---|
| Information agents, 24/7 background monitoring | Anyone, not just your own team, can now set an agent to watch your organization’s name and be alerted the moment coverage appears | Real-time crisis monitoring & instant alerts ✓ |
| Multimodal search box (image, video, file input) | Reputation exposure now includes what appears in images and video, not only text mentions | Visual intelligence & video-transcript analysis ✓ |
| AI Overviews & AI Mode growth (2.5bn / 1bn+ monthly users) | Being cited accurately inside an AI-generated answer is becoming as important as ranking in the list below it | AI-visibility tracking ✓ |
| Declining referral clicks to source websites | Website analytics alone will increasingly undercount real exposure; you need to know what AI answers say, not just what gets clicked | Narrative & story-formation tracking ✓ |
| EU regulatory scrutiny of AI search data-sharing | Signals more compliance complexity ahead for how any monitoring tool sources and shares platform data | Licensed, compliant sourcing ✓ |
“An AI agent that watches the web on someone else’s behalf and alerts them the instant your name appears is, functionally, a media monitoring tool. The only question is whether your own team sees the mention first.”
— Isentia Insights team
Isentia’s own technology stack is a useful reference point for what Google is describing, because the underlying idea (continuous, always-on watching that turns into a synthesized alert rather than a manual search) is exactly what dedicated media intelligence platforms are built to do. Isentia’s real-time crisis monitoring runs 24/7 with instant alerts via email, mobile app or chat, and its Lumina AI suite maps how narratives form and pivot across news and social channels in something close to real time, well before most stories reach mainstream coverage.
Much of that narrative-detection capability draws on Pulsar’s Narratives AI and broader social listening technology. Pulsar is Isentia’s sister company under Pulsar Group, and its advanced listening and narrative-detection engine complements Isentia’s Southeast Asian market expertise, licensed regional content and in-house analyst teams, which is what turns a raw detection signal into a decision a communications leader can act on.
Isentia also already partners with Google directly on the infrastructure side. Its broadcast monitoring solution, which converts television and radio speech to searchable text at scale, runs on Google Cloud’s Speech-to-Text API, a partnership documented in a published Google Cloud case study. The point is not that Isentia and Google compete on search; it is that the two organizations already sit close together in the same technical territory Google just brought to consumer search.
None of this requires a rushed response, but it does argue for a few practical adjustments to how a reputation or communications team plans its monitoring:
For more on how AI is reshaping the practice of monitoring and measurement more broadly, see how Isentia is responding to AI reshaping communications leadership and inside the AI shift: your questions answered. On the specific question of whether AI systems can find your organization at all, if AI can’t find you, neither can your stakeholders and introducing Lumina AI View go deeper on AI-visibility tracking specifically. For the underlying distinction this article builds on, see media intelligence vs media monitoring in APAC.
At I/O 2026, Google redesigned Search around a multimodal, AI-powered search box built on its Gemini 3.5 Flash model, and introduced “information agents” that monitor the web 24/7 and alert users to relevant changes without them searching again. AI Overviews and AI Mode, its existing AI answer formats, now reach roughly 2.5 billion and over 1 billion monthly users respectively.
Information agents are persistent AI agents that a user briefs once, then leaves running in the background to watch news, blogs, social posts and real-time data on a topic. For brand reputation, this means outside parties, not just your own team, can now be alerted automatically the moment your organization is mentioned, which raises the bar for how fast internal monitoring needs to move.
No. Google’s information agents are a consumer-facing, general-purpose version of a capability dedicated media intelligence platforms already provide at professional depth, including licensed news and broadcast sourcing, human-verified sentiment, and regional language accuracy that a general AI agent is not built for. The two are complementary rather than substitutes.
Ranking is about appearing in the list of links; being cited is about whether an AI-generated summary accurately represents your organization when it answers a question about you, often without the reader ever clicking through to a source. As AI Overviews and AI Mode take a growing share of searches, citation accuracy is becoming a reputation metric in its own right.
Start by tracking AI-answer visibility as a distinct metric, extend monitoring to images and video, assume outside parties are already watching your name via their own agents, and revisit sourcing and compliance practices ahead of tightening regulation. None of this requires replacing existing monitoring, but it does mean widening what “reputation monitoring” is understood to cover.
Google’s 2026 search overhaul does not change what brand reputation monitoring is for. It changes who else is now doing a version of it, for free, on your organization’s name, without you knowing. The practical response is not panic, it is making sure your own monitoring already covers what a general-purpose AI agent is only just learning to do: watch everything, in the right languages and channels, and tell the right person the moment it matters.
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Content Marketing Executive, APAC
Nikita Gundala manages brand marketing and thought leadership for Pulsar Group across the SEA and ANZ markets. With over three years of first-hand experience in the influencer marketing and PR industries, she specializes in translating real-time insights and audience intelligence into actionable content. Nikita holds a master’s in Marketing and Digital from ESSEC Business School, Singapore. She has contributed to the wider industry conversation by co-authoring articles and reports for The Business Times Marketing Interactive.
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