What is my article score, and how is it measured?

Sound familiar?

"How do I know the content is actually good?" "What is this score on my pages?" "Is anyone checking what the AI writes before it goes out?" "Why did my existing pages get scored too?" One standard answers all of these, and it runs through the entire platform.

What's happening

Every article the platform generates for you is graded against a master checklist of 71 AI-search optimisation requirements before it reaches you — each piece scored on the criteria relevant to its content type. Not a spellcheck and not a vibe: specific, research-grounded requirements, each one derived from published research into how AI search engines select and cite their sources.

The same checklist runs everywhere, which is the part most platforms cannot say:

• It scored every eligible content page of your website during your AI Visibility Assessment, each page individually, 0 to 100 (legal and boilerplate pages are sensibly left out).
• It grades every article we generate for you.
• It guards quality on the way through: a piece has to clear a quality threshold and its critical checks before it lands in your Studio as ready, and hard blocks (like an unsupported credential claim, or a missing required review) stop publication outright.

One consistent standard, end to end. Your new content is held to exactly the bar your old content was measured against, so when a generated article outscores the page it replaces, that comparison is real, not marketing 📏.

Why it works this way

AI search engines choose sources on measurable signals, so the checklist measures exactly those. The broad families it covers:

• Identifiable authorship and credentials: a named, verifiable author and reviewer, not anonymous content.
• Structured data: the machine-readable markup that lets AI engines confidently parse who wrote this and who it is about, present and correct.
• Evidence citations: real, verifiable references.
• Depth and answer-first structure: genuinely answering the question, with the answer where machines and impatient humans look first.
• Freshness signals: content that shows it is current.
• Internal linking: the link structure that signals genuine topical authority.
• Machine readability: content AI engines can actually parse.
• Clinical trust markers: the signals that distinguish credible healthcare content.

And the score is only the final check on a much bigger process. Before a single word is written, each article goes through a multi-step research pipeline — the number of steps and the volume of source material scale with the content type. The finished piece you read is that research distilled, then graded 🔬.

What to do now

1. See your existing pages' scores in the page inventory at https://content.co-kinetic.com/my-clinic/page-inventory: every page, individually scored. Your assessment report at https://content.co-kinetic.com/my-clinic/ai-visibility shows the overall picture those page scores roll up into, across four categories: technical foundations, local trust signals, professional credibility, content and discovery.
2. Low-scoring pages are not bad news, they are your plan's raw material: they surface as refresh actions on your plan at https://content.co-kinetic.com/my-clinic/plan, because a page with earned authority is often worth more refreshed than a new page is worth created.
3. Generated articles that have cleared the quality checks arrive in your Content Studio at https://content.co-kinetic.com/my-clinic/studio for your review before anything is published. The grade protects the floor; your clinical judgement is still the final sign-off.

The question behind the question

"Can I see the 71 requirements?" The count is public; the checklist itself is part of the platform's engine and stays under the bonnet. What you always get is the useful end of it: each page's score, what is working well, and the priority improvements in plain language, so you can drill from the headline number to what actually needs doing 🙂.

The next question is usually...

• How is my content plan organised, and how does it decide what goes where?
• Why do I need a reviewer at all?
• What happens once my content plan unlocks?

Still stuck? This usually means...

• A page you rate highly scored low. Design and clinical quality are not what the checklist measures — machine readability, structure and verifiable authorship are. The page's own entry in the inventory lists its specific issues, in plain language.
• You disagree with a specific finding. Ask us in the chat about the exact item: the assessment can be drilled into finding by finding, nothing is a black box.
• You want to raise a page's score yourself. You usually do not have to: low scorers surface as refresh actions on your plan, and letting the plan rewrite them is the designed route.