Navigating Google AI Mode:
6 changes you should expect.

Search is changing – again. But this time, it’s not just a tweak to the algorithm. With the rollout of Google AI Mode, we’re entering a new era of search that is deeply personalised, conversation-driven, and cross-channel aware.

Google AI Mode transforms how search works by providing AI-generated responses that pull information from multiple sources across the web. Instead of showing traditional search results, users now receive conversational answers that synthesise information from websites, videos, reviews, and social media.

This shift will reshape how customers find your business – and how your marketing team reports success. Whether you lead an in-house SEO team or work with an agency, here are the six major shifts you need to be prepared for.

AI Mode will reduce clicks for many informational searches because users can get answers without leaving Google. Around 93% of AI Mode sessions currently end without a website visit, roughly three in four users never leave the AI Mode pane, and referral traffic sits at around 2%, compared with 17–19% for traditional Google Search.

But here’s the critical insight – when users do click through from AI Mode, their visits are dramatically higher quality. Users spend an average of 15 minutes on site (compared to 8 minutes from traditional Google), generate 12 page views per visit (versus 9 from Google), and convert at significantly higher rates. Think of it as quality over quantity: you’ll see dramatically fewer visitors, but they’ll be far more engaged and more likely to convert.

This means adjusting expectations around traffic volume whilst focusing on conversion quality and user experience once visitors reach your site.

And remember – no clicks doesn’t mean no value. 34% of people first learned about a company through organic search. Every impression is an opportunity to promote your brand. If you aren’t appearing in AI mode results, your competitors will be, and they will be gaining brand awareness.

AI Mode will prioritise established, authoritative brands over emerging players, creating visibility barriers for newer businesses. Google AI Mode is deeply personalised, favouring known, trusted brands in results. If a user hasn’t previously interacted with your brand or category, Google may not surface your content in their AI responses.

This isn’t just about user history – it’s about brand authority at scale. Research shows that established brands with massive domain authority dominate AI responses. Sites with over 350,000 referring domains average 8.4 citations, whilst those with fewer than 2,500 referring domains average just 1.6–1.8 citations. AI systems favour the brands they ‘know’ – the biggest industry names with extensive web presence, authoritative backlinks, and widespread brand mentions.

Additionally, Google’s AI Overviews demonstrate a 43% self-referential citation rate, meaning they frequently cite Google’s own properties like YouTube. This preference of LLMs for known entities reinforces the importance of being an established, recognised brand.

This creates a catch-22 for emerging brands: you need visibility to build recognition, but you need recognition to gain visibility. It’s more important than ever to have a strong, consistent brand presence across multiple platforms.

Rankings, keyword positions, impressions, and traffic won’t disappear, but they’ll explain less of what’s happening. AI results are personalised, conversational, and assembled from multiple sources, meaning two people can ask the same question and receive different answers – this means tools like Semrush cannot report keyword positions for the majority of the UK as they won’t be able to see these personalised results.

Search Console is starting to close some of that gap, including reporting for generative AI experiences and platform properties covering channels such as Instagram, TikTok, X, and YouTube. Specialist tools such as Peec.AI, Profound, and Scrunch can add another layer by tracking brand mentions, citations, competitive share of voice, and sentiment. The question is shifting from “Where do we rank?” to “How visible are we when customers are making decisions?”

SEO is evolving from a single-channel tactic into a broader, cross-functional initiative. Google’s AI can draw information from across the web, not just your website, so search visibility increasingly depends on activity across content, PR, social, video, and brand.

That means more resource. In-house SEO teams will need closer collaboration with other specialists, while businesses using agencies may need broader scopes and larger budgets. We’re moving from Search Engine Optimisation towards Search Everywhere Optimisation – with more channels to influence and more expertise required to do it well.

AI Mode is evolving rapidly, requiring flexible strategies and frequent adjustments rather than set-and-forget approaches. Google is continuously testing and refining how AI responses are generated, what sources are prioritised, and how personalisation affects results. What works today may not work next month.

The last twelve months make the point better than any prediction. AI Mode launched in the UK in July 2025 as a separate tab. By December, Google had swapped the underlying model. In May 2026 it merged AI Mode with AI Overviews into one experience, replaced the model again with Gemini 3.5 Flash, opened Personal Intelligence to nearly 200 countries and 98 languages, redesigned the search box for the first time in 25 years, and announced background agents that monitor the web on a user’s behalf.

That’s five significant changes in a year, to a product that didn’t exist two years ago. Any strategy built on how AI search worked last quarter is already out of date.

The old adage “the only constant is change” is truer now than ever in SEO. Strategies, approaches, and tactics will need frequent adjustment to adapt to AI developments. Both business leaders and SEO teams must acknowledge that this technology is new for everyone – there will inevitably be an element of trial and error with strategies.

This requires building flexibility into your marketing plans and maintaining close communication with your SEO team about performance changes and strategic pivots.

Personal authority and subject-matter expertise are becoming critical in AI-driven search. Google increasingly favours trusted, authentic voices when generating responses, actively listening to your experts – but only if they’re publishing content online.

This means founders, executives, and domain experts should contribute actively to LinkedIn posts, company blogs, video content, and industry interviews. Sharing unique insights, industry perspectives, and lived experience builds the kind of authority that AI systems pick up on and reference.

Leaders should consider taking a more active role in content creation, even if it’s just supplying ideas and key insights for your marketing team to develop. Your expertise and perspective could be the differentiating factor that gets your brand mentioned in AI responses.

Google AI Mode is the most significant shift in search in two decades. For business leaders, this isn’t just a technical challenge for your SEO team to handle – it’s a fundamental change that requires strategic adaptation across your entire digital marketing approach.

The businesses that will thrive in this new landscape are those that embrace integrated marketing strategies, invest in brand-building activities, and adapt their measurement frameworks to reflect the new reality of AI-driven search.