Stacker partners with AskNews and ProRata to help brand and publisher content surface in AI search with stronger attribution, context, and discoverability.
LLMs treat the open web like a buffet— scraping content, summarizing it, and serving it back to users generally without meaningfully crediting the sources that made it possible. Publishers and brand journalists have been left to optimize for GEO with the hope that their content surfaces in the places that readers and audiences are looking for it.
We can do better.
Today, Stacker is proud to announce partnerships with two AI search engines rewriting that dynamic: AskNews and ProRata. Both companies share the values that have guided Stacker from the start — trust, transparency, and the long-term sustainability of news. Going forward, stories distributed on the Stacker Newswire will also be indexed on both platforms, ensuring the content our brand partners put into the world is accurately attributed, properly contextualized, and fed back into AI systems in a way that's fair to the authors who created it.
The status quo isn't working, at least not for brands and publishers. With these nascent tools, the fast and loose way that AI-generated answers are created needs to evolve quickly to better serve the publishers that drive the news and the search engines that train on them.
ProRata investor, Touring Capital, put the problem plainly:
Today, the news data available to LLMs is often messy, unstructured, scattered, and legally fraught. Scraped content lacks consistency. Summaries miss nuance. And uncontrolled scraping is brittle, risks violating publisher rights, is token intense, and hallucination prone.
The result is an ecosystem where brands invest heavily in content creation but have little control over how that content is accurately represented in AI-generated answers, if it's represented at all.
AskNews frames the issue as a failure of context engineering: even when AI models ingest news, they often do so without the who, when, where, and why that make information meaningful. A fact stripped of its context can be misleading.
Our new partners are built to fix exactly that, prioritizing proper attribution so brands and publishers get the credit they've earned.
Instead of brand content being absorbed into AI systems with no accountability, stories from the Stacker Newswire will be indexed to surface as high-quality, citable answers to specific queries. Brands using our platform won't need to do anything differently– indexing with AskNews and ProRata will be an integrated feature of Stacker's distribution workflow, increasing the chances of discoverability lift from the start.
ProRata's Gist Answers product allows third-party websites and publishers — including outlets like Popular Science and Woman’s World — to embed AI-powered summaries and recommendations drawn from their own content or the broader network of 1,500 publications within ProRata.ai. Their proprietary algorithm ensures attribution by weighing every contributing source behind an LLM-generated answer, regardless of the outlet's size. The goal: give content creators an actual incentive to keep producing fresh, high-quality work.
Range content, distributed by Stacker shows up in a search result
AskNews functions as a precision library catalog for high-stakes decision-makers — researchers, academics, and financial analysts — who need reporting they can trust. Every claim is traceable, and the platform can even visualize its sourcing through a corresponding knowledge graph.
Stacker is part of a growing roster of news services working with AskNews alongside the Associated Press, Agence France-Presse, and more than 3,000 other publishers. What sets this index apart is the underlying knowledge graph structure containing enriched information such as bias extraction, reporting voice detection, geo-coordinate assignment, and entity relationships. This structure brings best-in-class search and retrieval to LLM workflows with a single line of code.
Already, Stacker stories are being surfaced in the subject areas we cover most deeply. Contributors like Range, Rula, and more have appeared across a range of editorial categories like:
The relationship between AI and journalism doesn't have to be extractive. The partnerships we're announcing today are a bet on a new, innovative model where the platforms surfacing answers are also protecting the brands and publishers generating them.
As AI search continues to reshape how people find information, Stacker is committed to ensuring our partners' stories aren't just distributed widely but also attributed correctly and discovered by the audiences that need them most.
If you're already using the Stacker Newswire, this is one more reason your investment in quality content is paying off. If you're not yet a partner, there's never been a better time to start.
Ken heads up the distribution and product teams at Stacker. He previously led product teams at The Associated Press and The Nielsen Company.
Photo Illustration by Stacker // Canva
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