Somewhere in the architecture of every search you have ever made, a number you have never seen is influencing what you find. It is not a government standard. It was not established by academic consensus or international treaty or any process that involved the people whose access to information it governs. It is a proprietary metric called Domain Authority, invented by a private American software company called Moz, and it functions as one of the more significant invisible filters in the information environment of the contemporary internet without most of the people affected by it having any idea it exists.

Domain Authority, or DA, is a score between one and a hundred that Moz assigns to every website on the internet, purporting to predict how likely that website is to rank in search engine results. The score is calculated using an algorithm that Moz does not publish in full, drawing on signals that include the number of other websites linking to the site in question, the authority scores of those linking sites, and a range of other factors that the company describes in general terms in its public documentation without specifying precisely how they are weighted or combined. The score changes when Moz updates its algorithm, which it does periodically and with effects that can be substantial for individual websites, and the updates are implemented without regulatory oversight, without public consultation, and without any obligation to explain to the affected parties why their score has changed or what they might do about it.

The important thing to understand about Domain Authority is that it does not directly determine Google search rankings. Google has its own systems, its own signals, its own proprietary algorithms, and it has stated publicly that it does not use Moz's DA score as a ranking factor. The relationship between DA and actual search visibility is correlational rather than causal -- high DA sites tend to rank well partly because the factors that produce a high DA score, principally the accumulation of inbound links from other high-authority sites, are also factors that Google's own systems value. This distinction matters, and it is also, in practice, largely ignored by the industry that has grown up around the metric. The SEO industry, which advises businesses, publishers, governments, and institutions on how to make their content visible in search results, treats DA as a meaningful proxy for search authority, uses it to evaluate potential link-building partners, prices its services partly around it, and has created a market in which acquiring links from high-DA sites has become a commercial transaction, with some publishers explicitly selling placements for this purpose. The metric that does not determine rankings has become the basis of an industry structured around improving it, which means it influences rankings indirectly through the behaviour it shapes, which is perhaps a more significant form of influence than a direct algorithmic input would be.

What this produces at scale is a self-reinforcing hierarchy of informational authority that has very little to do with the accuracy, depth, or value of the content being ranked and a great deal to do with the age of the publication, its existing institutional prestige and its historical ability to attract links, which in turn reflects its historical ability to attract traffic, which reflects its historical position in a media landscape that was itself shaped by the economic and cultural arrangements of the twentieth century. The New York Times has a DA of around 95. A local newspaper in a mid-sized Indian city, regardless of the quality of its journalism or the specificity and value of the knowledge it holds about its community, has a DA that reflects its position in a link economy dominated by institutions that were already large and already well-linked before the metric existed. This means that an American, a European AND and Indian will likely read the NYT's coverage even on foreign affairs instead of news syndicated within the country itself. A traditional healer in Ghana who builds a website documenting the botanical knowledge of her community is competing for search visibility against pharmaceutical company blogs with DA scores accumulated over decades of aggressive digital marketing. The hierarchy was not designed with this outcome in mind. It arrived at this outcome through the ordinary operation of a system that rewards existing scale.

The regulatory vacuum around this is almost total. No government body oversees Moz's methodology. No international standard governs how proprietary authority metrics are calculated or disclosed. The European Union's Digital Markets Act and various national data protection frameworks address some aspects of how large platforms handle data and search results, but the specific question of how third-party metrics influence the information environment through the behaviour of the SEO industry sits largely outside existing regulatory frameworks, partly because it is genuinely difficult to regulate and partly because the people setting the regulatory agenda are not, in most cases, deeply familiar with how the system actually works. The opacity is not accidental, but it is also not exactly conspiratorial. It is the outcome of a technical industry developing faster than the institutional capacity to understand and govern it, which is a story that has been true of the internet in general since its commercial expansion in the 1990s.

The SEO industry itself is worth examining as a phenomenon, because it represents something that would have seemed improbable before it existed: a substantial commercial sector whose primary function is to help clients perform well according to the criteria of algorithms whose details are not public, using metrics whose methodologies are proprietary, in service of visibility in systems whose operators change the rules periodically and without notice. It is an industry built entirely on the interpretation of signals from black boxes and its practitioners have developed genuine expertise in that interpretation, which is a different thing from the expertise that a journalist or a researcher or a traditional knowledge holder has developed in the actual subject matter of the content being optimised. The separation between the people who know things and the people who know how to make things visible is one of the more structurally significant features of the contemporary information environment and it tends to advantage the second group over the first in ways that have consequences for what the world's population of internet users actually encounters when it goes looking for information.

The link economy that underpins DA has also produced its own shadow market that operates with a frankness that would surprise people outside the industry. Guest posting, the practice of publishing content on another website in exchange for a link back to your own, is widespread and openly commercial, with marketplaces that connect buyers and sellers of links on high-DA sites at prices ranging from tens to thousands of dollars per placement. The content produced for these placements is not primarily written to inform its readers. It is written to carry a link, and the link is the product. The fact that this content then becomes part of the indexed web, discoverable in search results, ranked partly on the basis of the very links whose acquisition was the purpose of its existence, is a circularity that the system has no mechanism for identifying or correcting, because the system is not designed to evaluate the intent behind a link, only its presence.

The circularity extends into the epistemological architecture of what counts as credible information in the first place. Academic papers cite other academic papers. Journalism cites academic papers. High-DA news sites cite journalism. The loop is treated as evidence of authority when it is, more precisely, evidence of a closed network agreeing with itself and when that network carries a shared set of assumptions about which sources, which frameworks and which kinds of evidence deserve to be treated as foundational, those assumptions get laundered through the citation system into something that looks like consensus. A colonial-era ethnographic account of a people, cited by a Victorian historian, cited by a twentieth-century anthropologist, cited by a contemporary journalist writing for a high-DA publication, accumulates the appearance of verified knowledge through repetition rather than through the quality of the original observation. An archaeological paper or a genetic study that contradicts the same account publishing in a journal whose DA reflects the modest web presence of academic institutions rather than the aggressive digital marketing of media companies surfaces several pages deeper in the results, if it surfaces at all.

This matters most where the stakes of the historical narrative are highest. Ancient DNA research over the past decade has substantially complicated and in several cases overturned accounts of population movement, civilisational origin and cultural transmission that were built primarily on textual sources produced during or after the colonial period. The genetic evidence for the deep antiquity and indigenous continuity of Asian populations, for the complexity of pre-colonial African state formation, for the sophistication of pre-contact American civilisations, is substantial, peer-reviewed and consistently outranked in search results by journalism and popular history that has not caught up with it. The search system does not distinguish between a secondary source that accurately reflects current evidence and one that is a decade behind it. It distinguishes between their DA scores, and the scores were accumulated before the evidence arrived.

For publishers and knowledge-holders outside the Western internet's historical centre of gravity, the DA hierarchy operates as an additional layer of structural disadvantage on top of the existing disadvantages of language, infrastructure, and institutional recognition. A research institution in Nigeria publishing original work on West African ecological systems is competing for search visibility with content farms in the United States that have learned to produce high-volume, adequately-written material on every topic that search traffic data identifies as commercially valuable. The content farm's DA may well be higher, because it has been operating longer, has more pages indexed and has more links from other high-volume sites that have similarly accumulated authority through scale rather than through the quality of what they know. The researcher's knowledge is more specific, more original and more valuable to the person who actually needs it. The system does not have a mechanism for weighing those qualities against each other, and the SEO industry, which could in principle advocate for the researcher, has a commercial interest in optimising for the system as it exists rather than in critiquing the system's design.

None of this is a secret, exactly. The SEO industry discusses the limitations of DA openly among practitioners. Google regularly publishes statements about what its algorithms do and do not consider and these statements consistently note that third-party metrics like DA are not direct ranking factors. Moz's own documentation acknowledges that DA is a predictive metric with limitations and should not be treated as a definitive measure of site quality. The gap is between what the industry knows and what the vast majority of the people whose information environment it shapes know, which is essentially nothing. The metric that nobody voted for, built on a methodology that nobody has seen, maintained by a company with no public accountability for its effects, has become a significant part of the invisible infrastructure of what the world reads. It did not require a conspiracy to get there. It required a technical industry developing useful tools faster than anyone developed the frameworks for thinking about what those tools were doing, and an information environment whose governing institutions have not yet worked out how to ask the right questions about systems they did not build and do not fully understand.

The world's information is organised, by systems and incentives and metrics that most of its consumers have never heard of, and the organisation reflects the priorities and the historical positions of the people and institutions that built those systems, which were not, in most cases, the people whose knowledge most needed to be found.

Technology is not neutral. return. reads the systems underneath it.