Last year, I wrote about the emerging content marketplace and the fight over who controls the quality of what AI knows. That piece focused on infrastructure. This one is personal.
I publish Major Matters articles nearly every day of every week. I research, I cite, I verify. And every time I hit publish, there is a moment of doubt. Did I get that statistic right? Is that link still live? Did I misattribute that quote?
I am not alone. According to the Reuters Institute's 2025 Digital News Report, trust in news dropped to 40 percent globally. Misinformation concerns are at an all-time high. And the explosion of AI-generated content has made the problem worse, not better.
The irony of the AI era: the tools that make it trivially easy to produce content have made it existentially important to verify it.
The Problem We Kept Running Into
Every writer knows the publish-day anxiety. You have spent hours researching, writing, and editing. You have read the piece four times. And still, somewhere in paragraph seven, there is a claim you are 90 percent sure about. Not 100. Ninety.
For large newsrooms, this is what fact-checkers are for. But most writers do not have fact-checkers. Newsletter writers on Beehiiv, Substack, and ConvertKit are one-person operations. Bloggers, content marketers, and freelance journalists publish without a safety net. Students submit essays with citations they found at 2am.
The existing options are not great. You can paste sections into ChatGPT and ask "is this true?", but you are asking an AI to verify the output of an AI. You can manually Google every claim, but that turns a 2,000-word article into a four-hour verification project. You can hire a human fact-checker, but that costs $500 or more per piece and takes days.
None of these work at the speed and scale of modern publishing.
What We Built
Byline Pro is an AI-powered content QA tool. Paste an article or fetch it by URL, and in under two minutes you get a full quality report covering four dimensions: factual accuracy, link health, readability, and source density. Every article receives an A-F grade.
Here is how it works:
Paste or fetch. Drop in your text or pull a published article by URL.
AI analyses. The pipeline extracts every factual claim and verifies each one independently. Every link is checked. Readability is scored algorithmically.
Get your grade. An A-F quality score with a full breakdown of what is strong and what needs attention.
Fix what matters. Each claim gets a verdict: Verified, Partially Accurate, Inaccurate, or Unverifiable. Each one comes with an explanation and a suggestion.
Publish with confidence. Fix the issues, rescan if you want, and publish knowing the piece has been checked.
This is not a grammar checker. It is not a plagiarism detector. It is a verification engine. It checks whether the things you wrote are actually true, whether your links actually work, and whether your writing is accessible to the audience you are targeting.
Why This Matters Now
The volume of published content has exploded. WordPress alone publishes 70 million new posts per month. Substack has more than 35 million active subscriptions. Beehiiv has grown from zero to powering thousands of newsletters in under three years.
AI writing tools have accelerated this. ChatGPT, Claude, Gemini, and dozens of specialised writing tools mean anyone can produce a 2,000-word article in minutes. The bottleneck has shifted from creation to verification.
This is not just a quality problem. It is a trust problem. As I explored in our analysis of the trust gap in agentic commerce, credibility is the currency of the internet. Once lost, it is extraordinarily difficult to rebuild.
For newsletter writers, one inaccurate claim can cost subscribers. For content teams, a broken link or a misattributed quote can damage brand credibility. For students, an unverified citation can mean a failed assignment. The stakes are different, but the need is the same: a fast, reliable way to check your work before it reaches an audience.
Every writer, from a student submitting an essay to a newsroom publishing daily, deserves access to the kind of quality checks that used to be reserved for publications with fact-checking budgets.
Who It Is For
We built Byline Pro for anyone whose words reach an audience:
Newsletter writers on Substack, Beehiiv, ConvertKit, and Ghost. Scan before you hit send.
Content teams producing blog posts, case studies, and marketing copy at scale.
Journalists and independent reporters who need a second pair of eyes.
Students and educators building good research habits with real verification.
SEO teams and agencies producing at volume who cannot afford errors slipping through.
Bloggers and creators on Medium, LinkedIn, and personal sites who stake their reputation on accuracy.
Try It
Byline Pro is live and free to try. You get three scans per month on the free plan, with no credit card required. Paid plans start at $12 per month for 30 scans.
We are in early access, which means you get to shape the product. Every scan, every piece of feedback, every feature request helps us build something genuinely useful.
Go to byline.pro and scan your first article.
What Comes Next
Byline Pro today is a scan tool. Paste, check, fix, publish. But we are building toward something bigger.
Byline Grow is our post-publish module, coming later this year. It connects to Google Analytics and Search Console to show you how your content is performing, where the keyword opportunities are, and which articles to optimise. Pre-publish quality and post-publish intelligence in one tool.
We are also building a Chrome extension so you can scan directly inside your writing tool without switching tabs.
For now, start with a scan. See what your grade is. We think you will be surprised by what it catches.
What would your last article score? Find out at byline.pro.