Jessica Miles, Country manager ANZ at Integral Ad Science.
Australian marketers are quietly funding AI slop. Most do not realise it. This isn’t the banner ad fraud of a decade ago. It’s more subtle, more scalable, and far harder to detect. It’s what’s increasingly being referred to as “AI slop”.
Mass-produced, synthetic content designed to look legitimate, attract programmatic spend, and deliver little to no real value. And it’s spreading fast.
‘Good enough’ is a failing strategy
Generative AI, when used well, is powerful leverage. But it has also made it terrifyingly easy to create thousands of content pages in minutes. These Made-for-Advertising (MFA) sites don’t need to be good; they just need to be “good enough” to fool legacy verification systems.
In fact, the Association of National Advertisers (ANA) reports that MFA websites represent a shocking 21% of impressions.
Generative AI empowers fraudsters to create lifelike user agent strings and fake profiles, making bot traffic and fraudulent impressions look authentic enough to evade detection at scale.
AI-driven bots now mimic real user behaviours, clicks, mouse movements, even detailed reviews and testimonials, blending seamlessly into legitimate traffic and artificially boosting product credibility across major digital platforms.
To our old rulebooks, they pass. To consumers, they are just digital noise: cluttered, repetitive, and useless. Yet, our automated systems continue to pay them, funding a shadow ecosystem that devalues real journalism and erodes consumer trust.
The trust deficit: consumers are wiser than our tech
The audience has already done the maths. Recent studies show a deep-seated skepticism that marketers cannot afford to ignore:
• 59% of media experts are actively avoiding content plagued by AI inaccuracies and hallucinations.
• 56% are wary of the ad-heavy, cluttered environments that are the hallmark of AI slop.
• 52% now instinctively steer clear of unknown or unverified sources.
Consumers can already spot digital garbage. The industry is still funding it. With ad fraud in Australia estimated at up to $5 billion a year, AI isn’t creating a new problem. It’s rapidly scaling into a multi-billion-dollar one.
The performance gap hiding in plain sight
Here’s the insidious part: campaigns running in these environments can still look fine on paper. Impressions are delivered. Clicks are registered. The dashboard reports tick all the right boxes for a passing grade. But this is a performance illusion.
Dig one layer deeper, and the facade crumbles. True engagement is weaker. Meaningful conversions are less efficient. The actual quality of interaction is hollow. This creates a quiet but widening gap between what looks like performance and what drives business results. Too many marketers are still optimising for the illusion.
From risk avoidance to a quest for quality
This changes the brief: media quality is no longer just about avoiding risk, it’s about finding and investing in genuinely premium environments where content is credible, context is relevant, and real attention is earned.
In today’s AI-driven landscape, advanced technology must be used to proactively detect and filter out low-quality, synthetic content, turning media quality into a true driver of growth and ROI. Critically, these solutions must be transparent, giving marketers clear insight into every decision.
Leveraging advanced media-quality tech to identify and block Gen AI content is now essential to protecting advertising investments.
The choice is ours
In 2026, the leaders won’t just use AI, they’ll demand AI solutions that are both powerful and trustworthy. Media quality is no longer a filter. It is a growth lever.
The question is whether your measurement stack knows the difference.
Feature image- Jessica Miles, Country Manager ANZ, IAS: supplied.