Five things Google just changed in AI Search - and what every brand should be asking their agency


Google dropped five updates to AI Search. As anyone in SEO will know, not all updates are created equal, and this is certainly a series of updates that need more attention than others…
The question most agencies have built their search practices around is some version of: " Are we ranking? It's a clean metric. Easy to report, and easy to put in a slide.
It's also increasingly the wrong question.
What Google announced isn't a ranking update; it's a signal about which organisations, voices, and content types will earn trust when AI assembles the answer before a user ever reaches a results page.
It also follows a pattern we have been tracking since the February 2026 Google Discover core update: Google is moving fast, and the implications extend beyond search rankings.
None of this is new thinking. What's new is that Google has just made the argument for you.]
Here is exactly what Google announced, and why each update matters beyond search rankings.
Google now surfaces in-depth articles on related topic angles at the end of AI responses, linking to specific case studies, reports, and analyses that go beyond the initial answer.
What this means
Broad, surface-level content will not earn these placements. Google is specifically rewarding depth on defined topic angles. Brands whose content strategy is built around deep, genuine expertise rather than keyword volume are better positioned to benefit. Those whose content is built around output volume are not.
Google is highlighting links from a user's news subscriptions directly within AI Mode and AI Overviews. Early testing showed users were significantly more likely to click these labelled links.
What this means
Coverage in premium, subscription publications now carries direct search visibility value, not just brand value. Brands with strong GEO and media relations in trusted publications are now more visible in AI Search than those without it.
The question to ask your agency: which of your target publications are subscription-based, and is your PR strategy actively targeting them?
AI responses now include quotes and previews from public online discussions, forums, and social media. Creator names, handles, and community names are shown - making the source visible before a user clicks.
What this means
What is being said about your brand in public forums like Reddit is now a search visibility issue, not just a reputation one. Positive community presence builds search equity. Unmanaged narratives surface directly in AI results. Brands that are not monitoring these conversations are carrying a risk they may not be aware of.
On the proactive side of this, issues management has always been about getting ahead of narratives before they escalate. In an AI Search environment, the stakes for doing so have increased.
Rather than grouping links at the end, Google now places them directly next to the specific text they relate to - meaning the most relevant, specific content earns placement mid-answer.
What this means
Content structure now directly affects search placement. Well-organised pages that address specific questions clearly are more likely to earn inline visibility. This is where Generative Engine Optimisation becomes critical: traditional SEO optimises for how search engines rank pages, but GEO optimises for how AI systems read and extract content - and the two are not the same thing.
We covered the broader context of this shift in: The search landscape is shifting - are you ready for GEO?
On desktop, hovering over any inline link in an AI response now shows the site name and page title. Users make a click decision based on brand recognition before they ever land on the page.
What this means
An unfamiliar brand name in a hover preview gets scrolled past, even if the content behind it is excellent. Brand reputation has always influenced conversion. It now influences whether a user clicks at all. This also applies to paid users who do not recognise a brand - they are less likely to click paid placements.
The impact of AI features on organic traffic is already being felt. Brand visibility in AI results is becoming the metric that matters most.
Here is where most agencies will get this wrong. A lack of integration will mean they will route the news to the SEO team, and the SEO team will update some title tags; that will be the end of it.
Meanwhile, the PR team keeps pitching nationals without thinking about search placement. The paid search team keeps optimising for clicks without considering brand recognition, and the public affairs team keeps monitoring without factoring in that forum conversations now surface directly in AI results.
The smarter move is to treat these updates as confirmation of something that should already be central to client strategy: earned media, community presence, authoritative content, and brand recognition are not separate workstreams. They are the same workstream, measured in different places.
The agencies that treat this as an SEO story will spend the next year optimising for a search landscape that no longer exists. The ones that bring together AI-driven search and GEO, digital PR, thought leadership, and content built around genuine expertise will be having very different conversations with their clients before the year is out.
Written in response to Google's blog post, published 6 May 2026. Read the original here.
At Clarity, we help technology companies build visibility across both traditional and AI-driven search - combining data-led SEO, generative engine optimisation, earned media and communications and paid into strategies that work together.
We also built Surfacd - an AI monitoring platform that tracks how your brand appears across ChatGPT, Perplexity, Google AI Mode, Gemini and more, so you can see exactly where you stand and what’s driving recommendations.
If Google's update has raised questions about your current approach, get in touch.
What does Google's AI Search update mean for my SEO strategy?
The update signals that topical depth and source credibility matter more than ever. Google is rewarding specific, authoritative content and surfacing it directly in AI responses. A B2B SEO strategy now needs to be built around genuine expertise and integrated with your PR and content functions - not run in isolation.
What is Generative Engine Optimisation (GEO) and do I need it?
GEO is the practice of optimising your content and brand presence to appear within AI-generated responses and search results, including Google's AI Overviews, ChatGPT, and Perplexity. As AI increasingly shapes what people find and trust online, GEO sits alongside SEO as an essential discipline - and the two require different approaches.
Will this update affect our paid search performance?
Potentially, yes. As the organic AI experience becomes richer, click-through rates on informational queries may shift. Clarity's paid search team specialises in quality-led strategies for B2B technology companies and can help assess the impact on your specific mix.
How does PR fit into AI Search visibility?
More directly than most brands realise. Coverage in subscription publications is now labelled and prioritised in Google's AI responses. Thought leadership can surface as further reading. Firsthand perspectives from public discussions appear with the author's name attached. A well-executed PR strategy is now a meaningful factor in search visibility, not a separate discipline.
How can Clarity help us adapt to AI Search?
Clarity takes an integrated approach across SEO and GEO, PR and earned media, thought leadership, content marketing, and paid search. Rather than optimising each channel in isolation, we build strategies that work together - which is exactly what AI Search now rewards. Talk to us.
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