Beyond Blocklists: Rethinking Brand Safety in Programmatic Advertising

An ad can reach the right audience, appear at the right moment, and still end up in the wrong environment. In programmatic advertising, brand safety is the challenge: where an ad appears matters as much as who sees it.

Blocklists and keyword filters remain useful safeguards. But as digital content evolves across websites, apps, video and Connected TV (CTV), relying on broad rules alone can leave important gaps. 

The ANA’s Q2 2026 Programmatic Transparency Benchmark found that market-level TrueAdSpend reached a record 45.1%, up from 43.3% in Q1. TrueAdSpend measures the share of programmatic spend that delivers impressions that are fraud-free, measurable, viewable and free of made-for-advertising (MFA) inventory. Even at a record high, more than half of spend still fell short of that standard. 

The goal isn’t simply to avoid risk. It’s to protect brand reputation without unnecessarily limiting valuable advertising opportunities. 

Why Traditional Brand-Safety Needs a Rethink

Keyword filters often miss context. A responsible news report on a crisis may be perfectly suitable for your brand, while a harmless-looking page may carry misleading content. Broad exclusions block good inventory, and too little context exposes brands to the wrong environments. 

Three priorities matter most: 

• Context over keywords: Understand what content communicates, not just which words it contains.
• Safety and suitability: Separate clearly harmful content from content that simply isn’t right for your brand.
• Consistency across channels: Apply the right safeguards across display, in-app, video and CTV.

Brand safety isn’t a one-time list of exclusions. It’s an ongoing process that protects your reputation without limiting valuable opportunities. 

AI Adds a New Layer to the Challenge

AI-generated text, images, audio and video are raising new questions about authenticity, transparency and consumer trust. In August 2026, the IAB updated its AI Transparency and Disclosure Framework, which focuses on risk and materiality rather than labelling every use of AI. 

Disclosure and brand safety are different issues, but both call for better context, clearer signals and more informed decisions. 

What Can Advertisers and Agencies Do Differently?

• Define brand-specific boundaries. Set clear lines for what is unacceptable, what needs review and what is suitable for each campaign.
• Combine signals. Pair contextual classification, placement data and verification tools instead of relying on keywords alone.
• Review exclusions regularly. Check where ads appear, investigate questionable placements and make sure blocklists aren’t excluding suitable inventory.
• Look beyond the impression. A brand-safe placement still falls short if the traffic is invalid or the supply path is unclear, so assess supply-path transparency and IVT controls too.

Together, these steps help teams protect the brand while keeping media efficient and relevant inventory within reach. 

Building Trust Through Better Programmatic Practices

Brand safety isn’t a problem that one filter can solve. It requires clear standards, reliable signals, ongoing monitoring and collaboration across the advertising supply chain.

This is where programmatic infrastructure matters. VoiseTech focuses on transparent advertising, clean supply paths and IVT filtration, helping advertisers and publishers work towards more efficient, accountable programmatic outcomes. These foundations support better visibility into the quality of advertising activity, alongside the content-level safeguards brands choose to apply.

As digital content continues to evolve, brand-safety strategies must evolve with it. The objective is not to block more content indiscriminately, but to make better-informed decisions about where advertising belongs.

Is your brand-safety strategy keeping pace with the content landscape?