Imagine if overnight, the usual flow of visitors to your website dropped because a virtual assistant started answering their questions directly, without sending them your way. This isn't a distant scenario. It's happening right now, as artificial intelligence (AI) starts to reshape how people search online.
A prediction by Search Engine Land suggests that by 2026, traditional search engine volume could decrease by 25%, with search marketing losing market share to AI chatbots and virtual agents. While Google still remains the undisputed leader, AI chatbots are gaining momentum, setting the stage for a future where websites must adapt swiftly or risk losing relevance (and traffic).
But here’s the optimistic news: this shift also presents an opportunity. By proactively making your website "AI-ready," you can secure your digital presence and potentially capture more targeted visitors than before.
Want to learn how? That’s what we’ll dive into a bit deeper in the rest of this blog post.
Image and data source: SparkToro
Adding further complexity to the life of any life science SEO professional is the fact that more and more AI responses are also starting to appear directly within a Google Search Engine Results Page (SERP) via the AI Overviews feature. Rolled out more broadly in 2024, this feature pulls together AI-generated summaries directly at the top of the results page, often above the first organic link. For many users, this means they’re getting a concise, AI-curated answer immediately—without needing to click through to a website. While this may improve user experience, it introduces a major challenge for marketers: reduced click-through rates even when your content is being used to power the answer.
This shift is already starting to become more measurable. As we will explore later in this blog post, tools like SEMrush now allow SEOs to filter for “AI Overview” rankings to track which keywords are being used by Google’s AI summaries. Our clients featured in these overviews are seeing changes in traffic patterns—sometimes a dip in visits, but often a rise in brand awareness metrics and authority signals.
The strategic response? Treat AI Overviews as a visibility channel, not just a traffic source. Focus on creating content that is clear, well-structured, and semantically rich—ideal for AI summarization. Optimizing for structured data, FAQ sections, and authoritative language can increase your chances of being selected for inclusion. Also, monitor which of your keywords are triggering AI Overviews, and adjust your SEO strategy accordingly. While traffic may not always follow visibility, awareness and brand credibility still carry weight—especially in industries like the life sciences.
Another challenge that we now face as marketers is the downstream impacts of AI-generated content flooding the internet, creating an overwhelming amount of noise. With tools like ChatGPT, Gemini, and Claude becoming mainstream, it’s never been easier—or faster—for anyone to produce content en masse. While this democratizes content creation, it also creates a tidal wave of generic, low-effort material that saturates search results, blogs, and even professional platforms. The result? An internet cluttered with paraphrased answers, surface-level insights, and content that lacks true originality.
For marketers, especially those in the life sciences sector where accuracy and authority are essential, this presents a serious challenge. As more AI-written content competes for rankings, truly valuable human-created work risks being drowned out unless it is clearly differentiated. Users, too, are beginning to sense the sameness. When every blog sounds like it was written by a bot, the content that stands out is the kind that goes deeper, shows real expertise, or delivers something AI can’t fake… human perspective and lived experience.
The best response isn’t to compete on volume but on value. Invest in creating content that AI struggles to produce: detailed original research, unique data sets, expert-level commentary, and thought leadership with a clear voice. Interviews with scientists, behind-the-scenes looks at research processes, commentary on industry developments, or firsthand case studies are all examples of content types that AI can’t easily replicate. Think strategic life science content marketing rather than just sheer output for the sake of output. These types of high-value content not only stand out in search but are more likely to be cited by others—further enhancing your authority signals in the eyes of search engines.
You can also lean into formats where human creativity shines, such as expert-led videos, live webinars, podcasts, or interactive tools. Collaborations with known influencers or respected voices in your industry can amplify reach while reinforcing trust. In this new content environment, quality, credibility, and originality aren't just nice to have—they’re your competitive advantage. Brands that focus on authenticity and depth will be the ones that rise above the AI-generated noise and earn lasting attention.
As if the world of search engine optimization wasn’t becoming complex enough, it's also important to understand the difference between standard chatbot interactions and the newer, more powerful "Search" and “Deep Research” functions exemplified by ChatGPT (but also available via other platforms, such as Google Gemini and Anthropic Claude). Each interaction mode serves distinct purposes and provides unique challenges and opportunities for how your target audience could arrive at your website…. or not.
ChatGPT Search changes how AI Chatbots provide users with up-to-date information. Unlike the traditional version of ChatGPT, which relies solely on its training data up until its last update, ChatGPT Search can perform real-time searches on the internet. This means it provides the most current and relevant responses, complete with source citations and direct links to the original content.
Why is this crucial for you? If your website contains up-to-date, accurate, and authoritative content, ChatGPT Search can directly channel users to your site as a trusted source. This positions you prominently as a valuable resource in your industry. However, while ChatGPT will provide the user with a link to your website, it will usually summarise the content you have provided, often making it possible for the user to answer their query without ever leaving the chatbot (or visiting your website).
ChatGPT Deep Research is designed for users seeking more than just quick answers—it’s built for depth, nuance, and comprehensive exploration. This mode excels at unpacking complex topics by synthesizing information from tens to hundreds of high-quality sources, offering detailed insights that go beyond surface-level summaries. Being able to collect and rigorously analyse data from hundreds of sources makes ChatGPT Deep Research especially useful for investigating scientific developments, analyzing market trends, or diving into niche subject areas.
For life science brands, content creators, and domain experts, this presents a unique opportunity: by publishing in-depth, well-structured articles, your work is more likely to be cited or summarized in longer-form AI outputs, further reinforcing your authority in your field. At the same time, ChatGPT Deep Research is another example where an AI chatbot can draw upon information provided by your website to answer a user's query directly, without driving much traffic to your content.
To bring the power of these new tools to life, let’s consider the query, "how to clean lab glassware safely ready for RNA extraction". Traditional ChatGPT might provide general instructions without sourcing and citing external information, whereas ChatGPT Search and Deep Research can offer detailed, reliable, and up-to-date protocols with direct references to credible websites.
Similarly, a query like "buy a volumetric flask" yields distinctly different results from traditional Google search versus ChatGPT Search or Deep Research, with the latter tools specifically curating and citing information from specialized suppliers, product review sites, peer-review papers, protocol examples, and more, to provide the user with a detailed answer.
These two examples show how chatbots like ChatGPT are both a threat and an opportunity to life science companies looking to reach target customers. While users of these chatbots are less likely to visit your website, they will still be gathering information to inform their purchase process and final decision. As such, you simply cannot afford for your website to be absent from the outputs and reports produced by ChatGPT, ChatGPT Search, or ChatGPT Deep Research.
To help ensure your content is discovered and referenced by ChatGPT Search and Deep Research, we recommend the following:
By following these 3 steps, your website will likely become a preferred resource for ChatGPT Search and Deep Research, increasing your likelihood of capturing traffic from highly motivated users.
Understanding and harnessing the potential of ChatGPT Search and Deep Research can significantly boost your site's visibility and traffic, ensuring your business stays ahead in the fast-evolving AI search landscape.
As AI-generated search results become more prominent, accurately tracking the impact on website traffic is important but still somewhat challenging. Fortunately, existing tools like Google Analytics and SEMrush are starting to catch up.
From some of our analysis working on client projects within Supreme Optimization, we’ve already seen early indicators that referral data from platforms like ChatGPT and other AI sources can now be surfaced in Google Analytics—as a percentage of total traffic, this source is still small, but it is growing.
SEMrush has also introduced an ‘AI Overview’ filter in its Position Tracking tools, enabling SEOs to track which keywords are being featured within AI-generated Google search results.
The emergence of AI overviews in Google Search is a double-edged sword: while it increases brand visibility, it can also reduce actual traffic to your site. This is clearly illustrated in the example below, where the company’s content was surfaced in the AI Overview box on Google’s results page. Although rankings for keywords like “b16f10 tumor model” jumped to position 1 in the rankings, the chatbot-style summary may be answering user questions directly, resulting in fewer clicks, despite high SERP placement.
Looking at broader traffic trends, AI referral sessions are beginning to play a more significant role in overall web performance. In one client example, we saw that 22% of total referral traffic in 2024 came from AI source sessions, with a noticeable spike in the latter half of the year (coinciding with more widespread adoption of these tools). ChatGPT alone accounted for 38% of those AI-based referrals, outperforming other AI chatbots like Perplexity, Microsoft Copilot, and Google Gemini. This marks a meaningful shift in user discovery behavior, and one that companies can no longer afford to ignore in their analytics strategy.
From an SEO visibility perspective, the impact of AI search integrations is also visible in the SERP feature data. Over the past year, one client saw SERP feature visibility go from 0 to 66 featured terms, even as traditional top 10 rankings slightly declined. This shift suggests a redistribution of organic traffic potential—from static blue links toward enhanced AI-powered search elements.
The implication of these findings is clear: ranking alone is no longer the full story. To remain competitive in the AI era, life science companies must invest in both the quality and structure of their content, while closely monitoring where and how it’s being surfaced within AI search experiences.
First, make sure your website is accessible to AI bots. Some businesses unintentionally block these crawlers using their robots.txt file, missing out on crucial visibility opportunities from being featured in AI searches.
Allowing AI to crawl your site ensures your content appears in AI-powered search results and recommendations, ensuring that you do not miss out on AI-driven mentions, visibility, and traffic.
AI prioritizes structured, easily interpretable content. Your website design must clearly communicate:
For most life science companies, this starts with having a clear compelling homepage, where you clearly state your core services and products, especially in your main headlines (e.g. H1 tags). In addition, ensure each page across your site clearly addresses user intent and explicitly details what users will learn or gain. By taking this approach, you facilitate AI’s understanding of your business, positioning your website for better visibility in search results and for relevant AI-driven recommendations.
Just like local SEO, where businesses list their Name, Address, and Phone Number (NAP) across directories, getting AI-driven visibility requires your brand to be present in all relevant online sources. With this in mind, we recommend the following:
Strengthening your online presence across multiple channels ensures AI accurately represents your brand when providing recommendations.
AI learns from publicly available data, so ensure your company is present where AI looks. To help, consider writing AI-friendly press releases by including:
Press releases get syndicated across multiple platforms, creating a broad digital footprint. AI bots scan these sources, increasing the likelihood that your company is recognized as an industry leader.
AI scans transcripts from videos, podcasts, and webinars, so consistently embedding your core message in spoken content can significantly boost AI-driven visibility. We suggest:
Transcriptions appear in AI search results, knowledge bases, and summaries, making it easier for AI to recognize your company and associate it with relevant topics.
Google & ChatGPT AI summaries will largely be driven by the quality and quantity of web content, further blurring the lines between SEM/SEO, and making a strong case for more investment in web content, ensuring that it is ungated, indexable, and optimized for SEO. This will allow chatbots to be able to ingest and retrieve it when providing users with AI-generated summaries. Top tips in this area include:
Properly structured schema markup helps AI clearly interpret and feature your website content. This is essential for maximizing visibility across AI-driven platforms:
Incorporating comprehensive schema markup significantly boosts your chances of appearing in AI-powered search results, positioning your business to thrive in an increasingly AI-dependent digital landscape.
AI chatbots and “generative search results” are now an active force reshaping how people search, discover, and interact with information online. Life science organizations that adapt quickly will thrive, while those that resist change risk fading into digital obscurity.
The good news? Making your website AI-ready is entirely within your control. By implementing the seven strategies outlined—ensuring AI can crawl your content, using clear language, optimizing for AI-driven search, and maintaining fresh, structured content—you position your business for long-term success as AI tools continue to cannibalize traditional search traffic.
But this is just the beginning. AI search will continue evolving, and staying ahead means ongoing optimization, monitoring, and adaptation. Keep refining your approach, track AI-driven traffic sources, and embrace new AI-powered tools as they emerge.
The future of search is AI-driven. Is your website ready? Now is the time to act.
As part of our mission to deliver world-class marketing services to life science companies, the team here at Supreme Optimization spends hours each week running experiments, conducting industry research, and working to stay on top of all of the latest trends in life science marketing. We publish much of what we discover right here on our blog.
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