Written for the people who run enterprise technology.

The Register, The Next Platform, Blocks & Files and DevClass. Four specialist newsrooms covering infrastructure, security, AI, cloud and storage, read by 52 million IT specialists and, increasingly, by the machines answering on their behalf.

The newsrooms
The RegisterEnterprise infrastructure, security, AI and cloud. A global voice on enterprise technology.
The Next PlatformHyperscalers, cloud builders and computing at the upper limits.
Blocks & FilesStorage systems, data platforms, and the plumbing underneath AI.
DevClassDevOps, languages, frameworks and engineering practice, for working developers.
Two audiences

Our journalism has two readerships now.

The people who have always read us, and the answer engines that read us on their behalf. Both matter, and a specialist newsroom is built for both.

Human
52M
Active readers

Engineers, architects, directors and the executives who sign for it. They come back because the reporting is independent and it is written by people who understand the technology.

Machine
36M
AI crawler requests a month

The assistants your buyers now ask first read us constantly, and cite us in the answers they give back. Our journalism sits inside the response, before any search result is seen.

The human audience

From the board that signs the budget to the engineers running the stack.

The whole buying committee reads a title in our portfolio. Senior, technical, and back again next week. 63% hold budget authority, and 55% are at organizations of 1,000 people or more.

13% C-suite and executiveTechnology and business leadership
34% Directors and senior managementThe largest audience segment
16% Managers and team leadsOperational ownership and delivery
17% Architects and technical leadsDesign and evaluation
20% Practitioners and specialistsImplementation and operation
The machine audience

Buyers stopped searching. They started asking.

The first place an enterprise technology buyer goes is no longer the search bar. It is a chat with ChatGPT, a question to Perplexity, an AI Overview at the top of Google, a Copilot pane in Office. One answer, three to five citations, and a shortlist forms in their head before they click anything.

14Every second

OAI-SearchBot · ChatGPT-User · PerplexityBot · Googlebot · Bingbot
Server-log measured. Top 5% of AI-crawled sites. Independently metered by Tollbit.

What gets cited

One in four sources AI cites is journalism.

More than any other kind of content. Source: Muck Rack, What Is AI Reading?, May 2026, from 25 million AI citations analyzed.

Our position

We chose which machines get in.

Our robots.txt blocks unlicensed training and welcomes the AI search crawlers that cite and refer. We decide which machines read us, and we are read where it counts.

The consequence

The citation slot belongs to editorial.

Gated content is invisible to crawlers, and a vendor's own site loses the queries that decide deals. Independent publications hold the ground.

intelligence.theregister.com

Our readers can ask us, too.

The Register Intelligence is live. A reader describes what they are trying to solve, in plain language, and the research that answers it is surfaced. A conversation that clarifies before it recommends.

For the reader

They state the problem.

The agent reads intent, pins down the real need, and keeps the reader moving with suggested next questions.

For the publisher

The whole library, usable.

Reporting, research and briefing material going back to 1997 becomes something a reader can interrogate.

For the sponsor

Reached because they asked.

Commercial research reaches a reader because it answers the question they came with, at the moment they asked it.

Our own research

We publish the research this market reads.

We put the questions that decide budgets to our own readers, and we publish what they tell us. That 69% of buyers shortlist just one to three vendors. That 51% of North American organizations are planning for a recession, the highest of any region. Published since 2025, roughly one report every other month, the five most recent below.

Written for people.
Cited by the machines they ask.

Four newsrooms covering enterprise technology. Free to read, and independent since 1997.