AI vs the open internet
AI didn't create the quality problem — it made low-quality production almost free. Professionally-produced content farms now absorb ad spend at industrial scale: websites funded by advertisers, yet rarely visited by humans.
AI has made low-quality supply nearly free to produce. Picnic's annual Inventory Quality Report shows what's actually happening to open-web inventory — and how advertisers can protect ad spend.
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"Quality isn't invisible. It's measurable."
AI didn't create the open web's quality problem — it made it cheaper to scale. The industry has accumulated metrics — viewability, brand safety, domain authority — but none were designed to measure quality holistically. Buyers have been filtering out some risk while missing the majority of high-quality inventory. That's where spend and performance are being lost.
Individually, each is a distinct challenge. Together, they're changing how value is created and lost in programmatic.
AI didn't create the quality problem — it made low-quality production almost free. Professionally-produced content farms now absorb ad spend at industrial scale: websites funded by advertisers, yet rarely visited by humans.
Applied in isolation or reduced to single thresholds, signals create the appearance of quality while masking how it's defined. Synthetic sites clear brand-safety and keyword checks unscathed — visible scores, not explainable ones.
When quality assessment, buying and optimisation all sit in one platform, advertisers are asked to trust one system to define what "good" looks like — with no way to interrogate or adapt that definition.
PIQ analyses 100+ quality signals — ad density, ad refresh rates, video-player behaviour — and combines them into a single score from 0–100. Scores above 50 are High Quality; anything below 30 is Low Quality.
The Inventory Quality Report shows where programmatic spend is being wasted, which signals to trust, and how to build a higher-quality inventory strategy.
Download the report