Why Brand Positioning Matters More in an AI-Mediated Search Landscape
How we search online has changed in the last five years more than the previous two decades combined.
For years, someone’s ability to discover a brand was largely a function of SEO strategy, digital marketing, and website optimization. Today, AI systems sit squarely between a company and their audience, mediating how information is interpreted before a link is ever clicked. Investors, partners, media and even patients increasingly rely on AI-generated summaries to understand companies instead of traditional search.
By mid-2025, 44% of AI-powered search users were using AI as their primary and preferred source of insight. In such an environment, brand positioning is no longer just a communications exercise. It directly shapes how AI systems understand and represent a brand, and companies have more influence over this than they may assume.
A Shifting Landscape: Brand Discoverability is Now AI-Mediated
With past digital marketing efforts, brand visibility was the goal by ranking higher in searches, more often, to be seen by a broader audience. But in an AI-driven search landscape, visibility alone is not enough. Discoverability is what matters, and specifically how your company is perceived once it appears.
Unlike traditional search, AI systems interpret information and provide the reader with an overview versus simply listing links. This is relevant as only 12% of links cited by AI systems appear in Google’s top 10 results for the same prompt, based on an Ahrefs analysis. AI systems synthesize “trusted” information across news coverage, industry outlets, executive interviews and company content to generate summaries. The AI’s synthesis shapes a reader’s perception before they click through to a source.
According to a recent study by McKinsey, about 50% of Google searches have AI summaries (expected to rise to 75% by 2028) and half of consumers now use generative AI tools to do their own research. In the future, AI tools will likely become more integrated into these platforms, leading to even wider adoption. That means investors, journalists and even competitors may form their first impression from an AI-generated description rather than the content on a homepage. Herein lies a meaningful opportunity to define how a brand is understood.
AI systems paint a picture of a brand based on patterns across available information. In life sciences, where information accuracy is critical and sweeping claims are unacceptable, positioning becomes the mechanism in which discoverability occurs.
If your company is clearly and consistently associated with a defined therapeutic platform, a differentiated scientific approach, and recognized experts and institutions, then AI will reflect those associations. AI may not verbatim repeat a perfectly-crafted positioning statement, but it will reiterate the information it reads across media coverage and online commentary.
While AI can create summaries autonomously, it does rely on publicly available data. Therefore, if your narrative is unclear, the AI summary will be too. AI becomes an amplifying device for a narrative when positioning is clear and consistently reinforced across third-party sources. A company’s own website only comprises 5-10% of the sources that AI-mediated search references, according to McKinsey. The way a brand is organically discussed by humans on social media also feeds into AI responses, emphasizing the importance of repeating a clear narrative across a company’s own social pages like LinkedIn.
At the same time, this reveals a significant gap in traditional digital marketing. While paid digital marketing tactics generate awareness, they don’t create the authority signals that AI systems prioritize. A company can dominate paid search results and be absent from AI summaries. This is because AI systems can weigh patterns of credibility. Sponsored/paid visibility does not carry the same authority as repeated independent coverage from across trusted sources. Brands repeatedly referenced in outlets such as BioPharma Dive, Fierce, STAT, and others will become more closely associated with their therapeutic focus.
This shifts the goal of communications from visibility to discoverability. It’s not just about being found by someone new to your company. It’s about reinforcing the narrative among those who already know your name — partners, media, investors and even patients — so that the AI summary aligns with the narrative that was intentionally built. Discoverability is no longer about ranking, but recognition.
Public Relations is Authority in an AI Environment
AI systems don’t determine authority from a single piece of content. They interpret it through language patterns and theme repetitions over time. Narrative positioning must be reinforced by third parties, to show up in AI search summaries, which is where strategic public relations (PR) comes into play.
Without external reinforcement, a company narrative remains internal messaging. With external reinforcement, it becomes recognized authority. In industries like life sciences where information is highly regulated, the concept of consistent earned coverage is especially important. Companies cannot make promotional claims, so authority must be demonstrated via other credible sources.
Earned media, executive interviews, milestone announcements and scientific thought leadership collectively form the PR narrative that AI systems use to reference across search engines. Over time, consistent signals from these sources enable AI to associate a company with specific modalities, therapeutic areas, and innovation themes. This is why it’s critical that all communications — social media, websites, and PR — tell the same story.
As narrative repetition increases, a brand’s ownership over a narrative strengthens. For such PR tactics to work, a company can follow a clear tactical execution playbook:
- A company clearly defines a therapeutic/platform positioning narrative
- The narrative is consistently reflected in clinical milestone coverage
- Leadership commentary further reinforces the same themes
- External publications repeat and contextualize these messages
- Readers/investors/partners/patients use the narrative positioning when discussing the company
For life sciences, PR is not just about amplification but also about credibility. A data milestone or byline article is no longer just news, it’s an opportunity to compound ownership of a narrative. Inconsistency in this narrative can cause ambiguity about a company, and also explains why AI systems can sometimes misrepresent companies, especially new ones or those inactive in communications. If AI doesn’t receive sufficient signals, it will interpolate from limited or outdated information.
As a result, the risk of not doing PR is not just poor discoverability, but potentially distorted perception. Consistent and strategic PR reduces that risk and ensures that AI systems are able to view a company’s positioning as externally validated enough to be seen as authoritative. Nowadays, PR functions as authority infrastructure.
Brand Positioning Determines PR’s Impact
In another 2025 study by Ahrefs, it was found that brand web mentions have the strongest correlation with visibility in Google’s AI overviews, meaning that when brands are talked about more online they’re more likely to be shown by AI.PR builds this external visibility, but for life sciences, visibility is insufficient. Credibility is key, and is established through a disciplined repetition of a clear narrative.
In life sciences, this narrative looks like a carefully articulated therapeutic area focus, platform narrative, or mechanism of action story. For example, an oncology company that claims itself as a leader in immunotherapy must reinforce that position consistently through PR. Their specific story should appear in a variety of sources such as mainstream coverage, partnership announcements with advocacy organizations, medical meeting recaps and trade publication articles. The narrative repeats with each piece of news, and that repetition builds recognition, which builds credibility. Ultimately the messaging pattern shaped over time influences AI’s interpretation of the company more than any individual announcement.
When brand positioning is clear, PR creates a red thread that carries across every external story. The narrative is reinforced by milestones rather than diluted by them. Different executives will repeat the same narrative themes in their own voice. Gradually, the company becomes associated with a focus area and referenced in industry conversations, cited in articles, discussed on social media, and contextualized by other respected scientists or journalists.
When brand positioning is unclear, the opposite often happens. Announcements are treated as isolated updates rather than a strategic enforcement of the story. Leadership lacks alignment. Coverage can accumulate, but doesn’t compound. The company might be active in its therapeutic space, but it doesn’t surface when the subject matter is searched for in AI systems.
In an AI search-led environment, positioning will determine whether a company can build authority, or if it accidentally reinforces ambiguity. AI doesn’t change communications tactics, but instead reveals if communications have been disciplined.
The Imperative in Life Sciences
MarTech reports emerging metrics like “AI search market share,” “brand sentiment in AI responses,” and competitive benchmarking of brand mentions in AI outputs formalize brand positioning inside AI systems as a measurable, optimizable asset.Since positioning determines whether PR efforts compound or fragment, the stakes are particularly high in the life sciences arena.
Understandably, emerging companies focus on trials, financing and data milestones. Science comes first, and communications can feel secondary — something that can be nailed down later. But successful clinical-stage companies know that positioning can influence perception long before commercialization. Potential partners, KOLs or future talent will form opinions based not on just data, but how clearly the company defines itself in the therapeutic landscape. Scientific credibility is reinforced by clear brand positioning.
Many life sciences organizations concentrate communications efforts on controlled opportunities (e.g. medical meetings, sponsored content) often living within company-owned channels or paid environments. These placements don’t carry the same third-party validation signals that both AI systems and human stakeholders interpret as authority. Such authority requires credible reinforcement through earned media that aligns across web, social and leadership communications.
In highly competitive areas such as oncology, neurology or immunology, narrative differentiation is not optional, it’s an essential. Multiple companies are fighting for airtime in similar indications. In an AI-mediated search environment, authority goes to the company whose narrative is the clearest and most consistent. Unclear positioning risks a business being summarized incorrectly or not at all. Ultimately, for life sciences companies it’s less about being louder and more about being defined.
Translating Strategy Into Practice
As AI systems continue to prioritize companies that get referenced by credible third-party sources, then a brand’s positioning and PR has to be a foundational part of its communications strategy.
For life sciences companies, that starts with defining a differentiating narrative platform and intentionally using it consistently across all communications materials. All announcements — from data milestones to leadership changes to drug approvals — should incorporate that narrative. Earned media should not be only opportunistic, it reinforces the narrative themes. Furthermore, alignment across channels matters just as much. Press releases, social media, website copy and leadership talking points must all tell the same story. Over time this naturally builds recognition, and PR complements digital marketing efforts to further reinforce key messaging.
The content that informs AI systems also informs stakeholders. It’s not about publishing quantities of content, but about repeated, quality content that reinforces a narrative consistently and credibly. As AI becomes increasingly integrated and users are presented with upfront with AI search as a first step in research, this becomes even more important.
As a life science marketing agency, RainCastle works at this level by helping life science companies clarify their positioning so that communications efforts help establish this authority over time. Digital marketing may have brought traffic and visibility in the past, but in today’s AI-mediated age, more must be done. Clear positioning reinforced by credible PR is ultimately how a brand is shaped and recognized by humans and by AI systems. In the end, AI doesn’t change the rules of communications, but rather exposes whether a company has built authority in a disciplined, measurable way.
Interested in Learning More About AI & Brand Perception in Life Sciences?
We recently hosted a panel webinar, “How AI Is Shaping Brand Perception in Life Sciences,” exploring how AI platforms interpret company messaging, what influences the way brands appear in AI-generated responses, and how life sciences organizations can strengthen their positioning across digital channels.
Watch the webinar on demand to hear practical perspectives on building a clearer, more consistent brand narrative in an AI-mediated search environment.
