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Bloomberg Media and Muck Rack launch integration to bring Bloomberg journalism into PR workflows. July 8, 2026 The partnership gives communications teams access to Bloomberg's full-text journalism inside the platform where they already pitch, monitor, and measure earned media MIAMI AND NEW YORK - July 8 - Bloomberg Media today announced a new partnership with Muck Rack, the AI communications platform used by thousands of PR teams worldwide, to bring Bloomberg's premium business and financial journalism directly into PR workflows. Through the integration, Bloomberg.com group subscribers will be able to access full-text Bloomberg reporting inside Muck Rack, the same platform where they manage journalist relationships, pitch stories, track coverage, and report on earned media performance. All Muck Rack users will continue to receive mention notifications for Bloomberg coverage regardless of subscription status. "At the heart of this partnership is a shared commitment to empower communications professionals with the trusted information they need to make decisions and respond in real time," said Nick Pimm, Managing Director of Enterprise Sales at Bloomberg Media. "Integrating Bloomberg's full-text reporting directly into Muck Rack will streamline workflows and provide communications teams with seamless access to our business and financial reporting without ever leaving the platform." "A Bloomberg story about a competitor, a market shift, or a breaking regulatory development is a critical piece of coverage that is something to act on," added Greg Galant, cofounder and CEO of Muck Rack. "Having that reporting inside the Muck Rack workflow changes how quickly and confidently teams can respond and analyze the coverage." The announcement reflects a broader shift in how communications teams use premium content. PR teams need to understand not just what's being written, but how that coverage performs, including whether it surfaces in AI-generated responses from tools like ChatGPT, Claude and Gemini. About Bloomberg Media Bloomberg Media is the world's leading multi-platform media company for business and finance, which draws on the editorial resources of more than 3,000 journalists and analysts in more than 100 bureaus around the world. Bloomberg Media is the consumer-facing media organization of Bloomberg L.P. About Muck Rack Muck Rack is the AI communications platform where trusted data, human expertise, and embedded intelligence come together to drive clarity, speed and impact. Thousands of companies turn to Muck Rack to make sense of the media conversation around them and understand how their brand shows up in the news and in AI-generated answers. Muck Rack combines global media monitoring, Generative Engine Optimization (GEO) insights, social listening, trusted media data, AI automation, and analyst advisory to help organizations manage reputation, act quickly, and prove their impact across the PR workflow. Thousands of journalists also use Muck Rack's free tools to showcase their work and analyze the news. Learn more at muckrack.com.

Muck Rack has launched Curation Engine, an AI-powered tool designed to replace Boolean search in PR media monitoring. The platform automatically evaluates media coverage for relevance, sentiment, tagging and prominence without requiring manual filtering. The system is trained by Muck Rack's Media Intelligence team and allows users to define monitoring criteria in plain language rather than Boolean strings. It automatically categorises coverage as approved or rejected, applies tags across competitors and themes, and assesses sentiment with a new "Balanced" category for nuanced coverage. According to Muck Rack's 2025 State of PR Measurement report, PR professionals spend over four hours weekly on reporting tasks. Curation Engine will be available to Brand Premier and Media Intelligence customers, aiming to reduce this manual workload.

Outset Media Index competitive review: OMI vs Similarweb, Muck Rack, Cision, and Meltwater. April 24, 2026 7:10 PM Table of contents Most crypto-related businesses already use some kind of media or market intelligence stack, which makes Outset Media Index (OMI) interesting as a new product entering an already familiar space. That space is largely defined by names people already know, such as: * Similarweb for traffic analysis and competitor benchmarking, * Muck Rack and Cision for PR workflows and media databases, * Meltwater for monitoring press coverage and social listening. The question here is what OMI is doing for media analytics and where it fits next to existing solutions. The answer starts with the type of work those solutions are mostly designed for: measuring audience reach, tracking brand mentions, understanding competitive positions, and supporting media operations. Much fewer of them are built for the earlier step, when teams still need to decide where coverage should land in the first place. That is the moment where OMI starts to make sense. Today's review looks at its core features and then places the index next to the above-mentioned tools. The resulting comparison shows where OMI overlaps, where it differs, and where it adds something those other platforms do not. Outset Media Index at a glance. What is Outset Media Index? Outset Media Index brings together data from over 340 crypto-covering outlets operating in more than 100 countries into one system designed to make media analysis easier to work with. At its core, OMI helps media professionals compare outlets more clearly by showing how they differ across 37 metrics grouped into four categories: reach, engagement, SEO and AIO, and collaboration factors. Image sourced from OMI Instead of looking at these signals separately, the index places them side by side and uses two scoring frameworks (General Rating for comparing overall performance and Convenience Rating for benchmarking working comfort), so outlets can be read in a more complete way. That same logic continues in the individual media pages. Beyond the table view, each outlet has its own profile with more analytical depth and details on the practical side of collaborating with that publication, such as language reach, coverage options, pricing, level of editorial control over submitted content, turnaround publication speed, and more. Image sourced from OMI To build this dataset, OMI combines third-party analytics from sources like Similarweb and Moz with proprietary indicators developed through Outset PR's internal research and infrastructure. Now, let's take a closer look at Outset Media Index alongside Similarweb, Muck Rack, Cision, and Meltwater - alternative solutions it most naturally compares with. Comparing Outset Media Index with competitors: Similarweb, Muck Rack, Cision, and Meltwater. Similarweb, Muck Rack, Cision, and Meltwater are all comprehensive, top-performing digital analysis tools available on the market, each serving a different purpose and audience. Outset Media Index vs Similarweb. Similarweb is primarily used for traffic estimates, engagement data, and competitor monitoring. It helps businesses understand how sites perform, but it does so from a broad web analytics perspective. OMI uses some of the same types of performance data, but applies them differently. Its purpose is to analyze crypto publishers through a structured set of media-specific signals beyond just traffic: syndication, editorial workflows, coverage costs, and other factors tied directly to real-world campaign planning. Outset Media Index vs Muck Rack. Muck Rack is a public relations management platform with an extensive database that helps businesses find the right journalists and media outlets to collaborate with for their campaigns. It is widely used for planning outreach, building media lists, and organizing PR relationships. OMI doesn't have a journalist database per se, but instead offers transparent rankings where media outlets can be cross-referenced across multiple parameters that matter for common business goals. In that sense, Muck Rack helps teams find who to contact, while OMI helps them decide which publishers are actually worth prioritizing. Outset Media Index vs Cision. Cision is similar to Muck Rack in its operations but it is built for a broader communications setup. It is often used by bigger teams at global organizations managing high-volume, multi-market campaigns at once. OMI is much narrower in scope, but also more concrete in what it tries to solve. Currently, it focuses on crypto media analysis and benchmarking, which allows it to go deeper into the outlets that deliver in this space. That means it is more directly useful for teams trying to understand crypto publishers in detail rather than navigate global communications overall. Outset Media Index vs Meltwater. Meltwater is perhaps the most post-campaign-focused tool on this list. The platform tracks brand mentions in online press as well as social conversations after coverage goes live. OMI, on the other hand, is curated for a pre-campaign analysis. While both are necessary for healthy marketing, it can be argued that benchmarking media outlets in advance can help avoid wasted budget and poor placements. What Outset Media Index measures that other tools don't. The clearest difference between OMI and the tools it is usually compared with is not just the interface or the workflow, but the insights it brings into the analysis. Alongside traffic and engagement, it introduces unique metrics that go further into distribution, publishing conditions, and the patterns behind outlet performance over time. Some of the clearest examples are: * Reprints - shows how many pickup stories (minimum and maximum) you can expect once a certain outlet publishes your content. * Editorial Rigidity - shows how demanding an editorial team is when it comes to outside content, which helps you understand publishing conditions before you pitch. * Unique Score - shows real audience reach an outlet has over time, rather than relying only on raw visit numbers. * Composite Score - shows whether traffic movement looks like meaningful growth or decline in actual users. * General Score - reflects how strong an outlet looks overall as a media channel. * Convenience Score - reflects how workable an outlet is in practice. These signals are hard to find together anywhere else. Similarweb does not track publishing conditions like Editorial Rigidity. Muck Rack and Cision do not break outlets down through scores like Reprints or metrics like Unique Score or Composite Score, which help prevent inflated traffic interpretations through normalization. Meltwater is built for tracking coverage after the fact, not for comparing outlet behavior beforehand. OMI brings those missing layers into one place. Conclusion. Outset Media Index may be the youngest name in this group, but that is also what makes it interesting. It is not trying to compete with Similarweb, Muck Rack, Cision, or Meltwater on their own terms. Instead, it fills a gap they largely leave open: helping teams compare crypto media outlets before a campaign begins, using criteria that are much closer to actual media planning. That does not make it a universal replacement for broader analytics, PR databases, or monitoring platforms. However, it does make OMI a more focused tool for a very specific job: understanding how crypto outlets differ in reach, syndication, audience quality, and practical fit. For teams working in the digital asset space, that kind of focus may end up being more useful than another broad platform trying to do everything at once.