For years, SEO has been the dominant force in digital brand visibility. Companies optimised for Google’s algorithms, focused on keywords, and fought for first-page rankings. But now, AI-driven search engines like ChatGPT are changing the game and PR will become more important than ever in shaping how brands are discovered and perceived.

Why AI Search Prioritises Brand Mentions Over SEO

Traditional SEO relies on backlinks, technical website optimisation and keyword strategies. AI-powered search engines, however, don’t just rank web pages they synthesise information from multiple sources and deliver direct answers. Rather than simply listing the top-ranking websites, AI search models pull insights from trusted publications, expert commentary, and widely discussed brand mentions. This means a brand’s presence in credible news outlets, industry reports, and thought leadership pieces will matter more than just ranking for keywords.

What This Means for the Future of PR & Media

AI-driven search is reshaping the balance of power between media, PR and brand visibility. While it rewards credibility and earned media, it also presents challenges in traffic loss, misinformation, and reduced journalist incentives.

For PR and brands there are many upsides. There will be less reliance on SEO tricks as AI prioritises brand credibility over algorithm gaming, rewarding companies that invest in meaningful engagement. We will also see more value for earned media as AI search favours authoritative sources, making press coverage and thought leadership more valuable than ever. And finally, authenticity will win; instead of brands competing over keywords, they must earn recognition through expert contributions, media coverage, and reputation-building efforts.

For media organisations it is a slightly more complex picture. Finding new ways to retain influence, monetise content and maintain journalistic integrity in an AI-first world will be critical.

Understanding and addressing the challenges

• Premium Media Paywalls – As AI-driven search adoption increases, paywalled publications may need to rethink their visibility strategy especially if they want to maintain influence in an era where AI models synthesise information from freely available sources. Whether through partnerships, structured content, or smarter paywall strategies, expect top-tier media to evolve their approach as AI search changes how people find and consume news. Brands will need a mix of paywalled and open-access coverage to ensure AI search engines can recognise their credibility while still appearing in exclusive, high-value outlets. Journalists might adjust how they structure content, offering more public summaries while keeping premium insights behind paywalls. AI transparency will matter if models don’t clearly indicate when sources are paywalled, publishers may push back.
• AI Prioritisation of Certain Sources Over Others – AI search models decide which sources are authoritative potentially favouring mainstream outlets while sidelining niche or independent publications. Smaller publications may struggle to get visibility in AI-generated search results and brands that rely on niche industry coverage may find it harder to surface in AI-driven results.
• AI Misinformation & Misrepresentation of News – As we all know AI models don’t always summarise content accurately, which can lead to misinformation or misrepresentation of media stories and brand narratives. Journalists may see their work misquoted or stripped of context. Brands could suffer distorted media narratives that they cannot easily correct in AI-generated results.
• Declining Website Traffic & Ad Revenue for Media – AI provides direct answers, reducing the need for users to click through to source websites. Fewer site visits mean lower ad revenue and subscription conversions for media. If audiences consume brand insights directly from AI summaries, PR placements may drive less traffic and engagement.
• Loss of Brand Control in AI Summaries – AI search engines decide how to describe brands, meaning companies have less control over their public perception. As has been well (and rightly) reported AI-generated news could repackage stories without proper attribution, reducing the value of original reporting. Brands may find their reputation shaped by AI-driven narratives rather than their own storytelling efforts.
• Lack of Transparency in AI Search Rankings – Unlike traditional search engines, AI models don’t disclose how they select sources. This makes it difficult for PR professionals and media outlets to understand why certain articles rank over others.

What PR Professionals Should Be Doing Now

To stay ahead in this AI-driven ‘discovery’ era, PR teams must rethink our strategies for maximum AI search visibility whilst being very aware that coverage in premium paywalled media will continue to of critical importance for more in depth analysis and thought leadership.

• Secure authoritative media coverage. AI models prioritise trusted sources over keyword-stuffed blogs. PR pros must focus on landing coverage in high-quality news outlets that AI search engines recognise as credible. We must ensure that we have dual strategy; maximising for AI search while continuing to target premium media often behind paywalls.
• Cultivate brand mentions naturally. Brands need to be part of industry discussions, appearing in expert roundups, media stories, and relevant thought leadership articles to stay visible in AI-generated search results. Insightful content must be visible on owned as well as earned.
• Invest in executive thought leadership. AI search models surface expert insights. Brands should position key executives as industry voices through guest articles, podcast appearances, and expert commentary.
• Build strong journalist relationships. Yes, that’s still a thing for many of us and it’s going to become even more important.  With earned media driving AI search visibility, journalists will play an even more critical role in shaping brand narratives. PR teams must foster deeper, long-term media relationships.
• Monitor brand sentiment and AI visibility. AI doesn’t just consider mentions it evaluates context and sentiment. PR professionals must track how their brand is perceived and proactively shape their media narrative.

We are entering an era where PR, AI search, and traditional media must coexist. Those who adapt early by building credibility, investing in earned media, and tracking AI-driven narratives will lead the next wave of digital discovery. The question is no longer ‘How do I rank on Google?’ but rather ‘How do I ensure my brand is part of the conversation AI search engines rely on?’

And that is both a challenge and an opportunity if ever I heard one…. I’d love to hear your thoughts…

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