Acrolinx Is Now Markup AI: The Content Governance Standard, Rebuilt for AI Agents

If you came here looking for Acrolinx, you’re in the right place. Acrolinx is now Markup AI.

For more than two decades, Acrolinx helped the world’s largest companies make sure their content was clear, consistent, and correct. We changed our name because the problem we solve has changed. Generative AI lets anyone produce content faster than any editorial team can review it by hand. Our customers asked us to govern that content with the same rigor we’ve always applied to human writing. Markup AI is how we’re doing it.

Acrolinx: The standard for enterprise content governance

Acrolinx earned its place in the enterprise by solving a problem most writing tools ignored. Large organizations don’t have one writer. They have thousands, spread across departments, regions, agencies, and contractors, all producing content under the same brand. Keeping that content accurate and consistent by hand was slow and expensive. We automated it.

Our customers came from industries where content quality carries real consequences:

• High tech and software: Product documentation, knowledge bases, and UI text where consistent terminology across thousands of pages decides whether customers find answers or file support tickets.
• Manufacturing and automotive: Technical manuals, service documentation, and safety instructions where one ambiguous sentence can cause errors on the shop floor or in the field.
• Healthcare and medical devices: Medical equipment documentation and regulated content that has to be precise, readable, and correct every time.
• Financial services: Disclosures, policies, and customer communications where consistent, compliant language protects both customers and the institution.

In every one of these industries, our focus was the same: increase editorial efficiency by automating the improvement of content quality, so editors could spend their time on judgment instead of line edits.

How we did it: six writing goals

Acrolinx checked content against the goals that define quality for enterprise writing:

• Clarity: Sentences readers understand on the first pass.
• Consistency: One voice across every team, product, and channel.
• Terminology: Approved terms used correctly, and deprecated or banned terms caught before they publish.
• Correctness: Spelling, grammar, and style errors resolved at the source.
• Inclusive language: Content that respects and welcomes every reader.
• Scannability: Structure that helps busy readers find what they need.

What our customers achieved

Enterprises used Acrolinx to:

• Raise overall content quality with a measurable standard applied to every piece of content, not a sample.
• Improve customer experience by giving customers clearer instructions, answers, and communications.
• Make content easier to find through consistent terminology and structure that search, both internal and external, rewards.
• Keep content consistent across teams and audiences, from engineering to marketing to support, in every region.
• Cut costs and improve clarity by reducing editing cycles, rework, and the downstream cost of translating unclear source content.
• Make every writer better, whether they sat on an internal team or worked for an outsourced agency, with guidance delivered as they wrote.

The next wave: Content Guardian Agents

Here’s what hasn’t changed: enterprises still need content they can trust. Here’s what has: much of that content is now written by AI, and AI can’t reliably check its own work. Push back on a generative model and it will usually tell you you’re right, whatever you said. That’s not quality control.

Markup AI is the guardian watching your AI. Our Content Guardian Agents scan, score, and rewrite content before it reaches customers. Each agent handles a specific job, and they work together through our API and MCP server, inside the tools and AI assistants your teams already use.

Brand and style

• Style Agent: Every writer and every AI model follows the same rules. It checks content against your style guide, including passive voice, word choice and consistency.
• Terminology: Product names, legal terms and brand language stay correct at scale. It enforces approved and banned terms, judging each occurrence in context.
• Brand Voice: AI-generated copy sounds like your company, not like a generic chatbot. It evaluates content against your brand voice profile.
• Persona: You find out what your buyer will think before your buyer does. It simulates how a defined audience persona reads your content and flags where it confuses them or falls flat.

Clarity and readability

• Sentence Clarity: Readers understand your content on the first pass. It identifies hard-to-read sentences and suggests clearer rewrites.
• Focus: Content gets to the point faster. It finds indirect sentences that bury the main point of a section.
• AI Voice Detector: AI-assisted content keeps a human, credible tone. It flags the patterns that make content read as machine-written.

Trust and accuracy

• Claims: Risky statements get caught before they create regulatory or legal exposure. It identifies verifiable claims and promissory language that may need substantiation or legal review.
• Date and Time Accuracy: Event and deadline details are right the first time. It catches impossible dates, day-of-week mismatches, inverted ranges and missing time zones.
• Link Integrity: Readers never hit a broken path. It detects dead, mismatched, decayed and off-topic links.

AI search visibility

• Source Authority: Your content becomes the source AI answers quote. It identifies missing credibility and trust signals that AI models look for when choosing sources to cite.
• Freshness: Published content stays current and trustworthy. It detects stale content and outdated references.
• Answer Authority: Content is ready for answer engines and AI search. It checks that question-based headings get direct, authoritative answers.
• Snippet Readiness: Your message survives being quoted out of context. It evaluates whether each section’s opening can stand alone when an AI system extracts it.
• Key Takeaways: Readers and AI models get the main points immediately. It makes sure that a short summary appears near the top of the page.

Determinism: What enterprises need hasn’t changed

Generative AI is probabilistic. Ask the same question twice and you can get two different answers. That’s useful for drafting and useless for auditing.

Enterprises need to know that the same content will get the same score every time. That’s how you set quality gates, track improvement over quarters, report to leadership, and defend your process to a regulator. It’s what Acrolinx was built on, and it’s coming with us.

The deterministic style checking across the writing goals our customers already use (clarity, consistency, terminology, correctness, inclusive language, and scannability) is still available in Markup AI. Our agents add judgment where fixed rules can’t reach, such as brand voice, audience fit, and claim risk. Deterministic checks remain the auditable backbone. And when something needs a person, Markup AI routes it to a human reviewer.

That balance comes from more than 20 years of serving the world’s largest enterprises in high tech, manufacturing, automotive, healthcare, and financial services. We know what it takes to govern content at that scale because we’ve done it.

A new name, the same commitment

The name Markup AI reflects what we do. Editors mark up documents. Lawyers mark up documents. Writers mark up their own drafts. Developers work in markup languages every day. Now AI content needs the same scrutiny, applied at the speed AI writes.

Acrolinx set the standard for content governance. Markup AI carries that standard into the age of AI agents.

Try Markup AI for free or talk to our team.