Staying Relevant in a World Where AI is Rewriting the SEO Rules – Google’s AI Overviews

Google’s AI Overviews are now on half of all search queries in the US! They came out of nowhere and changed everything!

Those days of blue links dominating the top of our search results pages are just that – history. Instead, an AI-generated summary – officially called Google AI Overviews, pulled from multiple sources and presented like a handy summary, now sit at the top of the page. These summaries provide key information directly within the search results, often eliminating the need for further clicks.

AI Overviews appear at the very top of the search results page in what is known as position zero.

So how do pharma marketing teams and digital health agencies adapt to this new reality? Factor in regulatory restraints and local legal hurdles, ranking on position zero or AI Overviews is now more important than ever.

What Are Google’s AI Overviews – And Can We Even Understand How They Work?

Google’s AI Overviews – which were once known as Search Generative Experience (SGE), introduced as a beta feature during Google’s I/O 2023 conference – use generative AI and advanced technology based on artificial intelligence to synthesize info from top-ranking websites and present a generated summary right on top of the search results page.

By May 2024, AI Overviews became a live feature in US organic search results under their current name. Today, there’s little to no search that doesn’t yield an AI Overview response. But here’s the kicker, wether we like to admit it or not, most of us actually prefer it to reading endless content across websites looking for that one line or fact that supports our narrative.

This feature appears on top of the blue links and can even include sections you can click on to go even deeper into your research. AI Overviews are now a core Google Search feature, similar to knowledge panels.

Here are the Key Characteristics of AI Overviews as of 2026:

• They start appearing more frequently on informational and pretty complex queries

• Anywhere between 3 to 8 sources are pulled in to provide a full citation and these sources come in the form of little linked cards. Being among the top organic rankings increases the likelihood of your site being cited in AI Overviews.

• On mobile devices, AI Overviews dominate the very top of the page in ‘position zero’, pushing traditional organic results further down and reducing their visibility.

• As of 2025, AI Overviews are available in more than 200 countries and across 40+ languages.

• AI Overviews are reported to appear for approximately 30% of Google searches as of 2025.

• You can click on the sections to expand them or “dig deeper” into the sources cited

• Google’s AI Mode is the next step, and lets you have a full on conversation with the search engine, it even runs multiple searches simultaneously

What AI Overviews Mean for Organic Traffic (The Numbers Don’t Lie)

A few years ago, people were wondering if all these AI Overviews were going to totally kill off organic traffic. And the numbers said yes, pretty much – with a loss of click-through rates by 25-35% when an AI Overview is around. In fact, some studies indicate a 50% reduction in clicks when an AI Overview is displayed. People are less likely to click through to individual sites because the answer is already sitting right there on the page. AI Overviews also appear at the top of the search results page, taking up significant visual space on the screen and pushing traditional organic results further down.

However, when users do click, they are often visiting multiple sites for more clicks after consuming the summary. This means that while overall click-through rates may drop, the users who engage are seeking additional details across several sources. Traditional metrics like time spent on site are becoming less relevant, as users often get their answers directly from the AI Overview without needing to visit the website.

But its not all doom and gloom. The picture is actually a bit more complicated:

While traffic goes down, the sites that get referenced in the AI Overviews actually get a bit of a reprieve. Because the people who click on them are looking for more information – they’ve already consumed the summary and they want to dig deeper. AI Overviews can also drive greater diversity of sources, as users are exposed to a wider range of websites than before. This shift creates new opportunities for brands to be discovered and engaged with in new ways. Plus, it pays to note that commercial and navigational queries aren’t as affected – these are the type of searches where people are looking for a specific result.

Long-tail informational traffic is where the real danger lies. Those generic “what is” and “how does” queries at the top of the funnel get hammered the hardest. Content that used to get by on volume-driven keywords alone now needs to be able to prove its worth in a whole new way. With AI Overviews, users can explore different perspectives and content types directly from the results page.

AI Overviews are expected to integrate affiliate links, shopping recommendations, or sponsored insights alongside organic citations. Google is committed to a hybrid model that combines AI-generated summaries with conventional blue links.

5 Ways to Get Your Content Featured in Google’s AI Overviews

And here’s the thing, making it into an AI Overview isn’t a bad thing – it’s a form of brand endorsement from Google itself. To be featured in AI generated summaries, it’s crucial to create high-quality, well-structured content that is trustworthy and reliable. So here are the current rules for making it happen:

1. Rank in the top 10 first – and get there the old fashioned way

There are no shortcuts. Almost all the pages that get cited in an AI Overview start out as top 10 rankings. So, yes, traditional SEO fundamentals – like technical health, backlinks and all that – matters now more than ever. AI Overviews don’t bypass Google’s quality signals, they just amplify them.

2. Structure your content for synthesis

If you want Google to be able to pull your content out into an AI Overview, you need to make it easy for them – and the way to do that is to create your content in a way that makes sense to a machine. That means – provide clear and concise answers up front, followed by a bit more context, use headings and subheadings to break up the text, and for goodness sake don’t bury your answers in a wall of text.

3. Show E-E-A-T in all its glory

Google loves sites that demonstrate some serious E-E-A-T – that’s Experience, Expertise, Authoritativeness, and Trustworthiness. Google also prioritizes reliable sources for inclusion in AI Overviews. And for health and pharma content, that means having author bylines that sound pretty official, referencing some serious research or clinical data, making sure your publication dates are up to date, and that your organisation has a credible about page. Creating quality, trustworthy content is essential for visibility in AI Overviews, as Google’s AI models rely on high-quality data to generate accurate summaries.

4. Write for the questions your users are asking

And finally, all the data points to the fact that the type of queries that AI Overviews are most likely to pop up on are the ones that are also picked up in the People Also Ask boxes. So if you map your content to the questions your users are asking, using all the usual format tricks – Q&As, numbered lists, definition-first paragraphs – you are going to be a lot more likely to get featured.

5. Build Authority On A Topic, Not Just One-Off Pages

Google’s search algorithms give a thumbs up to domains that really cover a topic from every angle, not just individual pages that happen to do well in the rankings. The way you structure your content across your entire website is key here – a ‘hub and spoke’ kind of setup where a core page links out to and receives links from all the supporting articles is a clear sign that your domain is the go-to place for that subject area.

When it comes to how AI generated summaries are created, the information within an AI Overview is generated using Google’s knowledge of a subject based on its Gemini large language model, which may not always be accurate.

Specific Implications for Pharma & Healthcare Marketers

For the likes of pharma marketing agencies and healthcare teams working on digital, there are all sorts of extra complexities to contend with, especially when you start redesigning healthcare marketing strategies for an AI-first search environment.

Because of those stern regulations and compliance rules that govern healthcare content, what AI likes to see is direct, clear, actionable language – not the more conservative approach that’s often necessary in healthcare writing. So the challenge is to write content that’s medically accurate and also structured in a way that AI systems can make sense of and give credit for. AI Overviews are designed to address consumers directly within the search results, providing immediate, comprehensive answers that can influence consumer behavior and visibility.

Some practical tips are:

• Use separate content modules for regulatory required disclaimers, so AI systems can pull out clear statements without getting confused.

• Focus on getting third party credibility signals (journal citations, guideline references) rather than relying on what your brand says.

• Work on optimising AI to focus on non-product content that’s educational – like “what’s the next best action in pharma CRM” rather than busy product landing pages – and keep an eye on how your competitors are doing in AI too.

• If you’re creating HCP facing content that also ranks organically, because AI is now appearing in public search, it’s got a dual audience – so structure that content with a clear audience signal in the title and meta, and make sure complex clinical information is supported by some accessible context.

• A company can leverage AI to improve health content and user engagement by ensuring information is accurate, accessible, and tailored to both consumers and healthcare professionals.

AI analyzes medical images to detect diseases like cancer earlier, personalizes treatment plans, and accelerates drug discovery in healthcare. These advances sit within a broader wave of innovation in life sciences and digital health. In business and marketing, AI powers personalized recommendations, optimizes supply chains, and provides 24/7 customer service via chatbots.

AI Mode – The Next Step Beyond AI Overviews

AI Mode, which is Google’s most advanced search interface as of 2026, works in a completely different way to standard AI Overviews. In AI Mode, Google runs multiple sub-queries and then synthesises a multi-part response. Users can ask complex, multi-clause questions, or even more complex questions, in one go and get back comprehensive, structured answers with collapsible sections. AI Overviews and AI Mode are particularly effective for more complex questions, as they can synthesize information from multiple sources. AI Overviews start appearing more frequently on informational and pretty complex queries. They can handle multi-faceted questions without needing to break them into separate searches, providing comprehensive answers.

For SEO strategy:

Blending classic SEO with a truly integrated healthcare marketing approach becomes critical as AI rewrites how patients and HCPs discover brands online.

• Pages that are well-structured and cover a single topic are going to do better than pages that try to be everything to everyone.

• Pages that answer a specific bit of a broader topic will be more likely to be cited in one of AI Mode’s sub-query responses.

• Internal linking becomes even more important – AI systems use internal links to understand the full scope of a domain and what it’s all about.

• Schema markup (FAQ, HowTo, Article, MedicalWebPage etc) is key to helping AI systems categorise and use your content correctly.

The distinction between traditional search and AI Mode will get even blurrier. The organisations that come out on top will be the ones that build a content infrastructure that’s designed for synthesis – not just for ranking.

What About AI Search Beyond Google?

Optimising for citations within Google is just the start – the emergence of standalone AI search tools like ChatGPT Search, Perplexity and Copilot creates a whole new challenge. These tools build their web knowledge from public crawls and APIs, drawing from the internet and user-generated content. Being well-cited, having a strong profile of links in from other sites, and producing content that’s easy for AI to get its head round all translate into better visibility in these environments too. However, it’s important to note that ai chatbots like Google AI Overviews can sometimes produce hallucinated or misleading information, so ensuring accuracy and authority is crucial.

The key signals that matter across all these AI search tools are increasingly shaped by healthcare data analytics for pharma marketing, turning raw engagement and performance data into smarter decisions:

• High quality links in from other sites (so they know your site has some authority) — and a solid foundation in digital marketing for pharma and healthcare is to build those signals consistently.

• Being mentioned and cited in reputable third party publications, supported by a coherent healthcare PR and digital communications strategy.

• Structured data (stats, definitions, frameworks) that’s clearly attributed.

• Consistent brand mentions all over the web (whether linked or not).

• Schema markup that shows what kind of page it is, who wrote it, and what the topic is, all layered on top of rigorous healthcare regulations and compliance processes.

• Establishing authority and authenticity through user-generated content or ‘posts’ can improve visibility, especially when aligned with patient-centric marketing strategies.

The 5 Principles for AI Search Visibility in 2026

AI Overviews aren’t something to be worked around – they’re a fundamental shift in how information is being distributed at scale. AI Overviews are expected to become even more prevalent in the future as Google AI capabilities improve. In 2026, AI is expected to shift from a novelty tool to core, integrated infrastructure, emphasizing ‘agentic AI.’ Partnering with healthcare strategy consulting that understands AI and search helps brands navigate this shift. The organisations that will do alright in 2026 and beyond are the ones that:

• Keep investing in the basics of SEO – technical stuff, content quality and authoritative links, underpinned by robust healthcare content creation and content marketing.

• Restructure content to be easy for AI to get its head round – clear answers, well organised sections, direct language, and modular pharma content marketing that’s compliant by design.

• Build topical authority through the hub and spoke architecture.

• Optimise for question-based queries that are aligned to PAA and conversational search, informed by rigorous healthcare audience segmentation and intent mapping.

• Keep an eye on your brand and competitors in AI Overviews to spot gaps in the market, using healthcare data analytics for pharma marketing and pharmaceutical market research and market access insights to decide where to double down.

The era of AI search isn’t the end of organic visibility – it’s just the start of a new chapter. The content that gets seen, cited and trusted is the stuff that’s always been helpful and useful – the bar has just been raised, and creating helpful content will remain essential for visibility and trust in AI-driven search.

Want to boost your brand’s AI search visibility? Our digital marketing team at Capptoo specialises in healthcare and pharma digital marketing – check out how our Website IQ and HCP Engagement services can support your SEO and content strategy, from end-to-end HCP engagement for pharma brands and omnichannel healthcare campaign orchestration to healthcare CRM strategy, health technology assessment support, and digital-first regulatory intelligence for compliance and market access.