Google appears to be testing an expansion of links and citations within AI Mode results. According to reporting from Search Engine Roundtable, this mirrors a change Google made with AI Overviews roughly a year ago, when citation links became more prominent within those panels. If AI Mode follows the same trajectory, the implications for how brands earn visibility in generative search are significant.
This is not a minor UI tweak. When citation density increases, the competitive pool for source references expands. More links means more brands can potentially appear - but it also means the question of which brands get cited, and how often, becomes considerably more strategic.
AI Mode Is Not AI Overviews - The Distinction Matters
AI Overviews appear within standard Google Search results, typically at the top of the page, and are designed for relatively contained queries. AI Mode is a separate, more immersive experience where the entire search interface shifts to a conversational, generative format. Users opting into AI Mode are signalling a preference for depth over quick answers.
That behavioural difference matters for citation strategy. Queries in AI Mode tend to be more exploratory - comparisons, multi-step research, category discovery. The citations that appear within those results are likely serving a different informational function than the quick-reference links in a standard AI Overview. Brands need to think about the type of content that earns a place in deeper, more complex AI responses, not just top-of-funnel summaries.
The pattern Google is following here is also visible in how other AI search tools operate. Perplexity has always presented multiple cited sources by default. ChatGPT's browsing mode surfaces references with increasing regularity. Google expanding citation density in AI Mode is consistent with a broader shift towards AI search tools that show their working, rather than presenting answers as if from thin air.
What Happened When AI Overviews Got More Citations
When Google increased citation links within AI Overviews, it created a new layer of organic visibility that did not map cleanly onto traditional ranking positions. A page could sit at position eight in the standard results and still appear as a cited source inside the AI Overview. That dynamic disrupted the assumption that rank position and search visibility were the same thing.
Brands that had invested in clear, well-structured, authoritative content - the kind that AI systems can parse and attribute confidently - benefited disproportionately. Those that relied on optimised titles and meta descriptions without the underlying substance found themselves visible in rankings but absent from citations. If AI Mode follows the same path, that gap will widen.
The Citation Real Estate Question
When citation slots are scarce, Google's AI is making highly selective choices about which sources to surface. When those slots expand, there is more room - but that does not mean all brands benefit equally. Increased citation density tends to reward sources that are frequently referenced across multiple documents, not just sources that appear once in a well-optimised page.
This points to a structural issue that many brands have not yet addressed. Being cited in AI search is not primarily a function of on-page optimisation. It is a function of how well-referenced your brand and content are across the wider web. Third-party mentions, editorial coverage, structured data that confirms your entity, and consistent presence on authoritative platforms - these are the signals that feed citation decisions.
For UK businesses in particular, sector-specific authority signals matter. Industry publications, trade bodies, and local media carry weight with Google's systems in ways that generic link-building does not. If AI Mode citations expand in the way AI Overviews did, the brands that already have that third-party validation in place will absorb the new citation slots faster.
Practical Steps to Position for Expanded Citations
The first priority is content structure. AI systems favour content that answers specific, bounded questions clearly. Long pages that cover broad topics without clear section delineation are harder to cite precisely. Breaking content into well-defined sections with descriptive headings - and ensuring those sections can stand alone as coherent answers - makes it easier for AI to pull a specific piece of your content as a reference.
Schema markup remains underused by most brands operating in AI search. At minimum, Article, FAQPage, and HowTo schema give Google's systems explicit signals about what type of content a page contains and what questions it addresses. This does not guarantee citation, but it reduces the interpretive work the AI has to do, which consistently helps.
Tracking is harder here than in standard search. Citation appearances in AI Mode do not show up in Google Search Console the same way rank positions do. Monitoring this requires manual querying - regularly testing your target queries in AI Mode and recording whether your brand appears as a cited source. It is not scalable in the traditional sense, but it is the only direct feedback mechanism available right now.
Why This Is a Timing Opportunity, Not a Future Consideration
Testing phases in Google Search tend to move quickly to broader rollout when the signals are positive. Google tested more links in AI Overviews and then rolled it out more widely. If the same pattern holds for AI Mode, the window between testing and standard behaviour is measured in months, not years.
Brands that wait for confirmation before building citation-ready content will spend the first phase of broader rollout playing catch-up. The content and entity signals that determine citation likelihood take time to accumulate - editorial coverage does not appear overnight, structured content takes time to index and be assessed, and authority in a given topic area is built incrementally.
The brands best positioned to appear in an expanded AI Mode citation set are those building that case now, not those waiting to see whether this test becomes a feature. For any brand where organic search contributes meaningfully to traffic or leads, this is worth treating as a near-term priority rather than something to review at the next strategy cycle.