In this blog post, Nick Welch, Senior Director, Programmatic and Sell-side Development, EMEA, Integral Ad Science explores s why advertisers should rethink their approach to brand suitability in news environments, sharing new research on the attention advantage of premium news and how AI-driven contextual technology can help unlock valuable inventory without compromising brand protection.
News plays a vital role in everyday life, helping people make sense of the world around them, follow the issues that matter to them, and stay connected to their communities. That makes it a valuable environment with ample opportunities for advertisers to reach engaged consumers, well beyond major moments of breaking news. New Integral Ad Science (IAS) research shows that premium news can deliver a measurable attention advantage, yet some advertisers may still be missing out because of out-dated ideas of news carried over from older approaches to brand protection.
Of course, brands should not ignore risk. But it has long been known that blanket keyword blocklists can exclude suitable content without establishing whether the surrounding article actually poses a problem for the advertiser. Yet, these lists can persist in campaign setups if not working with a suitable partner, because they are familiar and easy to apply, including at different points in the media buying process. Familiarity and ease, however, is not a reason to keep using a blunt tool when more precise alternatives are available that are just as easy to activate.
For advertisers looking to improve return on media investment using technology, other suitable approaches represent an opportunity to unlock incremental reach and performance from quality news inventory, while maintaining the brand suitability standards they need. Doing so requires a more considered use of contextual technology, alongside closer collaboration between advertisers, agencies, technology partners and publishers.
Our research makes the commercial case clear. IAS analysed seven billion impressions across more than 50 verified European news domains. Premium news sites generated 9% higher attention than the global digital benchmark. Avoiding this inventory by default risks leaving valuable engagement and potential performance gains on the table.
Keyword blocking was designed to offer a straightforward way to manage risk, when the technology didn’t exist to be more precise. The problem is that language rarely carries a single meaning. A word can mean different things depending on the story in which it appears, and a list of terms cannot reliably distinguish between them.
An article about a medical breakthrough might contain a word associated with drugs. A film review could include the word ‘shoot’, which might look concerning when removed from its context. In both cases, a blanket exclusion risks treating an entirely appropriate article as unsuitable for advertising.
The same issue applies to political coverage. An article might mention a political figure or debate without politics being central to its subject. A static keyword list may exclude it regardless, whereas AI-driven contextual analysis can assess what the article is actually about and whether its content falls outside an advertiser's suitability requirements.
This distinction is important because brand suitability is not a single, universal setting. Different advertisers have different risk tolerances, and even the same advertiser may approach news differently from entertainment or gaming. The aim should be to apply the right level of protection to the content in question, rather than treating every mention of a sensitive object as equivalent.
AI-driven contextual analysis makes this more practical at scale. It can examine the meaning of a page, including its sentiment, intent, and the relationships between words, rather than relying on isolated terms. Such technology brings together natural language processing (NLP), advanced knowledge graphs, emotion and semantic signals, URL-level analysis, dynamic crawling, and multi-modal and multi-lingual capabilities. That gives advertisers a more precise way to assess the content surrounding an impression across many languages globally, using nuanced contextual segments that reflect their genuine risk tolerance.
The objective is to make suitability decisions more closely reflect the content itself.
The case for greater precision becomes clearer when attention is considered alongside suitability.
IAS's research found that while premium news generated on average 9% higher attention than the global benchmark, some publishers exceeded that benchmark by more than 20%. These findings challenge any assumption that news is an environment advertisers should routinely avoid, particularly when attention is an important consideration in media planning, with our own research finding campaigns achieving up to a 130% lift in conversion rates when comparing high attention impressions vs low attention.
The results were also notable for news articles flagged under standard brand safety & suitability categories, including crime, conflict, and sensitive social issues. These impressions generated an average attention score 22% above the global benchmark.
Political coverage offered another example. The research found that political content delivered 6% higher attention than the global average. Campaigns running alongside such content also recorded a 40% higher success rate, and a 37% lower effective cost per thousand impressions.
These figures do not mean every news story is suitable for every advertiser. They demonstrate why advertisers should assess the content itself before ruling out an entire category. Where suitable news inventory is excluded unnecessarily, campaigns can lose access to engaged audiences and the incremental value those impressions could deliver.
Unlocking that opportunity means looking beyond the settings that have become embedded in media buying workflows. Advertisers and agencies should review where keyword blocklists are applied, understand how those restrictions affect delivery across the buying process, and consider whether contextual controls can provide the protections they need with fewer unnecessary exclusions.
In a Reuters case study, replacing seven frequently occurring keywords with contextual controls reduced the estimated volume of blocked content across its premium news inventory by 58%. The finding illustrates how much suitable inventory can be regained when decisions are driven by intelligent contextual technology rather than keyword blocking.
Publishers also need clearer visibility into the suitability advertisers apply to their campaigns, so they can understand why inventory may be excluded and work with partners to address avoidable mismatches. Advertisers, in turn, benefit when publishers can help identify quality environments that meet their requirements.
This kind of collaboration makes suitability more actionable on both sides of the transaction. Contextual technology helps advertisers evaluate content with greater precision, while better visibility into campaign preferences helps publishers improve the availability of suitable inventory. As a result, more value can be unlocked from news inventory without weakening brand protection.
News publishers invest in professional journalism that helps audiences understand an increasingly complicated world. Advertisers need to protect their brands, but they also need evidence that informs where their budgets go.
Independent measurement can give publishers a clearer way to demonstrate the attention their inventory generates, while helping advertisers make suitability decisions and optimise campaigns based on evidence rather than assumptions.
As contextual technology advances, the whole industry needs to move beyond blanket avoidance: leaving static keyword blocklists behind entirely and adopting a more considered assessment of individual environments. That does not mean abandoning caution, but applying it where it is warranted.
Premium news should be evaluated on the quality of its content and the engagement it delivers, rather than being discounted because of the subjects it covers. Better-informed suitability decisions can help advertisers deliver incremental reach and stronger returns from their media investment while supporting the publishers that provide the journalism those audiences seek.
