For years, communicators operated under a simple assumption: more visibility creates more influence.
That logic shaped an entire communications model. Brands invested in higher publishing volume, polished messaging, influencer programs and search-optimized content built to maximize reach.
The problem is that everyone else did the same thing making it hard to distinguish between brands.
In PAN’s latest Brand Experience Report, we analyzed more than 20 B2B technology and healthcare brands and found a consistent pattern: reach is growing, but meaningful engagement and sentiment are not keeping pace. In several cases, visibility went up while conversation quality went down.
One enterprise software brand saw mention volume shrink while reach grew by 30%, and unique authors increased by 67%. More people were talking about the brand, but with less depth.
This disconnect is a direct result of audiences adapting to the environment communicators helped create.
Buyers Are Filtering Faster
With the influx of brand content at an all-time high, we also know that people are not consuming content the way they used to.
In our research, 66% of consumers reported experiencing AI credibility fatigue. Nearly half said they do not trust much of anything online anymore.
But that doesn’t mean they’ve stopped researching. It means they’ve changed how they evaluate information. Instead of digging into every article, buyers are leaning on shortcuts like familiar brands, peer recommendations, reviews, analyst validation and AI summaries to gather info and help with decision making.
Because a lot of traditional authority signals don’t work the way they used to, this can be a problem. Polished messaging, high publishing volume, and constant visibility aren’t automatically translating into credibility, and in some cases, they’re feeding skepticism.
Attention and Trust Are No Longer the Same Thing
One of the clearest examples is influencer marketing.
We know that influencer content can drive awareness and engagement. But our research found a 42-point trust gap between customer experiences and influencer content. Eighty-nine percent of consumers said real customer experiences increased their likelihood to consider a product, and only 47% said the same about influencer content.
That distinction is important because communicators often treat attention and trust as interchangeable metrics. They aren’t.
The same pattern showed up in a LinkedIn A/B test PAN ran targeting senior marketing decision-makers. The more polished version of the content drove all of the landing page clicks. But the more human, less polished version generated ten times the engagement and held reader attention more than twice as long.
The takeaway isn’t that one version works better than another, it’s that you need to have a clearly defined goal.
AI Accelerated an Existing Problem
AI didn’t create the sameness problem. The terms “digital transformation,” “optimize” and “synergy,” have populated sales decks and industry conversations for decades. But AI accelerated it. The easier content becomes to generate, the easier it becomes for messaging to flatten into the same tone, structure and language patterns across brands. And audiences notice fast.
At the same time, buyers are increasingly using AI itself as a research shortcut. In our report, 47% of B2B buyers said they now use AI for research and discovery.
That creates another problem, because AI-generated answers aren’t always accurate. PAN’s analysis of AI-generated responses found that 31% of cited sources were either misattributed or completely fabricated.
The bigger issue isn’t hallucinations. (We can’t filter them out as comms pros.) It is that buyers are consuming information faster while validating less of it themselves. More than a third of people stop at the AI summary without clicking through to another source.
So, communicators are competing in an environment where audiences skim faster, trust less and increasingly rely on outside validation to decide what’s credible.
What Brands Need More Of
The brands standing out right now aren’t producing more content. They produce clearer signals of credibility.
That means customer proof points, consistent positioning, specific examples, earned validation, and messaging grounded in real expertise rather than generalized thought leadership language.
It also means rethinking what communications teams optimize for. Reach and publishing volume are still easy metrics to chase. But in our analysis, positive sentiment growth was a stronger predictor of revenue than reach or mention volume.
Visibility still matters. But visibility without differentiation is worth less and less. The brands breaking through are the ones giving audiences something more specific, more verifiable and more believable than everyone else.



