Why 'information gain' is the new north star for AI-era PR

There was a time when getting my brand mentioned in a top-tier publication felt like the pinnacle of PR success. A feature in a national broadsheet, a quote picked up by an industry title, a press release syndicated across a dozen newswires. These were the metrics that mattered to me. But that era is quietly ending. 

As AI-powered search tools like Google’s AI Overviews increasingly deliver a paraphrased answer rather than ranked links, the nature of brand visibility and reputation management is evolving. If my content just echoes what everyone else is saying, AI will absorb it and serve it back in a condensed format to users without necessarily crediting the source. 

In effect, my brand runs the risk of becoming ‘paraphrase fodder’; raw material for machine synthesis and stripped of its authority. So, with this in mind, how do you build a PR strategy that AI systems can’t ignore? 

The machine paraphrase problem

In order to understand the threat, we need to understand how AI Overviews work. These systems are designed to interpret the user’s query, retrieve relevant web pages from Google’s index, use an LLM to generate a summary and cite the supporting sources in their answer.   

That said, AI systems care less about who said it when multiple sources say the same thing. AI Overviews prioritise relevance, authority and ranking signals. This is where LLM SEO comes in. 

Experts in AI optimisation, Artemis Marketing, explain that LLM SEO involves “structuring and publishing content so AI systems can understand it, trust it, and reuse it inside generated answers.” They note that it’s no longer just about keywords, but about ensuring a business shows up when people ask AI-powered tools like Google’s AI Overviews and ChatGPT for direct answers. 

If my press releases repeat the standard talking points in my industry, and my thought-leadership pieces say what every other article says, AI could treat my content as just the same as everyone else’s. My investment in coverage effectively disappears in that moment when it should be creating visibility. 

What information gain actually means

To avoid this problem, I need to focus on what’s known as ‘information gain’. This concept comes from information theory, but the practical meaning for PR is straightforward: it’s the degree to which my content adds something genuinely new to the existing knowledge. 

This does a few specific things. 

First, it introduces proprietary research and original data, whether it’s surveys, studies or analytics. Second, it draws on insider perspectives that are grounded in genuine experience rather than polished opinion. Third, it contains verifiable claims, like dates, case study outcomes or detailed findings that are precise enough that they can’t be paraphrased without attribution. Last but not least, it offers insights that challenge the prevailing consensus rather than just reinforcing it. 

A good way to test an idea is asking yourself if an AI system could reach the same conclusion without my input. If the answer is yes, the information gain is low. But if the answer is no, if the data or insight genuinely originates from us, then the content forces the wider ecosystem to treat me as a primary source. 

Moving from indexed to authoritative

There’s an important distinction to make here and that’s the difference between being indexed and being authoritative. 

Being indexed simply means my content exists somewhere in the digital ether, whereas being authoritative means that the record can’t be written without referencing it. The first is passive. The second is structural and instills trust where it’s needed most. 

To build authority in an AI-led era, I need to position my brand as the origin point of specific domains. That doesn’t mean I need to dominate every conversation, but it does mean that I want and should own particular facts, frameworks, or datasets so clearly that they carry my name wherever they’re used. 

For example, when a methodology is routinely described as the approach pioneered by a particular brand, that brand has embedded itself into the informational infrastructure of its sector. The same happens when a statistic is consistently attributed to a single source. 

This kind of authority isn’t built through sheer output. A single well-designed piece of original research, shared strategically and amplified through the right channels, can do so much more than dozens of press releases repeating the same story or perspective. 

Architecting content for an AI audience

Practically, we need to treat PR content creation with the rigour of an editorial intelligence operation. Every piece of material should answer one central question: what does this tell the world that it doesn’t already know? 

That means collaborating more closely with data teams, operational leaders and AI-driven customer research tools like eclincher to uncover the insights that are actually proprietary. It also means moving away from boilerplate press releases and toward formats that carry higher informational density like white papers, data briefings, and expert analysis that contains specific, attributable claims. 

It also becomes more important than ever to place this content in environments that AI systems are more likely to treat as authoritative. Long-form investigative features, rigorous trade publications, and specialist outlets with strong editorial standards tend to carry more weight in AI synthesis processes than large volumes of syndicated newswire coverage. 

Reputation at the source

There’s a deeper implication here outside of search visibility. As AI systems shape how people understand issues, industries, and organisations, the entities that supply the primary inputs to those systems shape the narrative itself. That reframes the role of PR, because reputation management can’t be limited to monitoring coverage and responding to it. Instead, it actively constructs the informational environment where those narratives emerge from. 

Ultimately, the PR strategies that will succeed in the AI era follow a demanding but simple principle: say something true that no one else is saying. Unique insights may not guarantee the likelihood of citation, but they certainly increase the probability. 

Dakota Murphey is an established freelance writer with experience in eCommerce, Digital Trends, Branding, Cyber security and Company Growth. Her aim is to support niche businesses and enterprising individuals to increase their visibility and promote their USPs.