On March 12, Beginning Media Index (OMI) has begun its soft launch as a standardized benchmark designed to bring data-driven clarity to media analytics, an area where teams have long relied on fragmented traffic lights and limited viewability data. It currently indexes over 340 publications with regular crypto coverage, including niche media outlets as well as financial, technology and general news portals with dedicated crypto sections. The scoring framework is designed to adapt to other domains as the dataset grows.
OMI includes 37 performance and workflow metrics covering reach, engagement, delivery dynamics, and collaboration drivers. It combines partner data from sources like Similarweb and Moz with proprietary search metrics that enrich traffic and SEO signals with practical context.
All entries are reviewed and normalized to avoid inflated metrics and keep the analysis consistent across outlets, with the same criteria applied across the index. Unlike existing media lists using non-transparent methodologies, OMI serves as an objective and unbiased infrastructure, where visibility in rankings is determined by real data and not hidden interests.
This launch comes as media discovery becomes more difficult to interpret in all markets. The Reuters Institute recently quoted a Chartbeat report showing that Google’s organic search traffic to news sites declined by around 33% globally between November 2024 and November 2025. Meanwhile, publishers expect referrals to decline by a further 43% over the next three years as AI summaries and chat-style searches grow.
In this context, traffic spikes and SEO rankings alone fail to show whether media is truly valuable. They reveal little about the actual stability of a news outlet’s audience, how readers engage once they arrive, whether coverage extends beyond the original publication, or the operational nuances that are important when planning media outreach.
OMI brings these signals together into an organized framework, giving teams that manage media operations, including advertisers, media buyers, internal PR and marketing units, agencies, publishers and researchers, a clearer point of reference for analyzing media, planning growth strategies and allocating budgets responsibly.
In addition to the familiar metrics, OMI introduces proprietary indicators that reflect visibility behavior in practice. These signals focus not only on audience size, but also on stability, reader engagement, and how media coverage expands after publication.
Some examples illustrate how the framework works:
- Unique Score tracks a single, consistent readership over several months, allowing teams to distinguish outlets with a sustainable audience from those primarily driven by short traffic spikes.
- Reading behavior combines metrics like time on page, pages per visit, and bounce rate to show where audiences are actually interacting with content once they click through.
- Reprints indicate how often articles are picked up by aggregators or secondary outlets, helping to identify platforms where coverage tends to trigger quality syndication.
These and other metrics feed into two summary frameworks within the index: an overall score, reflecting overall outlet performance, and a convenience score, which captures operational factors that affect day-to-day collaboration, such as editorial flexibility, timeliness, and price-to-reach alignment.
Within the platform, outlets can be examined side-by-side, filtered by parameters related to business impact and explored through detailed media profiles with historical context – enabling simple integration of OMI into different tasks, processes and use cases.
During soft launch, access is deployed in a controlled manner to create space for iteration. The focus of this phase is hands-on collaboration: working with partners and active users to test real-world workflows, validate assumptions, and further refine the index based on feedback. Participants who bring ideas during this period will be recognized and rewarded for helping shape the direction of the platform towards wider availability.
OMI is part of a broader analytics ecosystem developed by Initial PR. Within this structure, the index works alongside Outset Data Pulse (ODP), which is in the process of rebranding as its research and interpretation layer.
Sofia BelotskayaProduct Manager at Outset Media Index, says: “Data by itself is rarely useful unless it is comparable. While OMI shows how media performance and distribution models are changing across media, ODP focuses on explaining why these changes are happening and what they mean for teams working in the media marketplace.”
The index is also supported by a set of infrastructure tools from Outset PR. These tools include a syndication map that tracks how articles flow through aggregator feeds and secondary outlets, as well as an internal media analyzer that automates republication tracking so that distribution patterns can be analyzed at scale.
Mike Ermolaevfounder of Outset PR, says OMI’s goal is to make media work “a human profession first and foremost”, while supporting it with “clear tracking, reliable media intelligence and systems that help people understand that visibility is not a matter of chance – it’s a system that can be designed, controlled and measured”.
In 2026, the agency plans to bring these analytical layers closer together, making multimedia data easier to use in daily workflows without relying on scattered spreadsheets or isolated dashboards.
About the opening media index
Outset Media Index, or OMI, is the first standardized benchmark for media developed by Outset PR. It brings data-driven clarity and structured analysis to how media markets are understood across all niches. The platform is used by teams who need meaningful context when planning media activity, allocating budgets, or interpreting viewability behavior post-publishing.
By organizing performance, engagement, distribution and operational signals into a single analytical framework, it provides a reliable picture of real point-of-sale performance beyond surface traffic indicators. In addition to the familiar metrics, OMI introduces proprietary decision-making metrics around audience quality, distribution models and collaboration dynamics, based on the team’s years of media analytics experience.
The methodology is transparent, consistent and non-negotiable, with no paid rankings or increased visibility.
Contacts
Commercial inquiries: sales@omindex.io
Media inquiries: media@omindex.io
X: x.com/OMI_index
Telegram: t.me/omindex
