HCU Content Checker
Paste any URL. Score it against Google's Helpful Content signals in 30 seconds.
Why we built it
After the Helpful Content update cycles, content teams kept asking the same question: would Google call this page helpful? Reading a page and guessing is unreliable, and the people closest to the content are the worst judges of it. We turned Google's own published guidance into a scoring pipeline so the answer takes 30 seconds instead of a debate.
How it runs
- 01
Fetch the page as clean text
Jina Reader pulls the URL and strips it down to readable text and structure. The scorer evaluates the same content view a search system extracts, with the template noise already removed.
- 02
Run the three scoring layers
Layer one is heuristic: structure, depth, thin sections, keyword stuffing. Layer two penalizes known AI-writing patterns. Layer three sends the text to Gemini 2.5 Flash with Google's helpful-content questions as the rubric for a deep read.
- 03
Return the grade with the reasons
The three layers combine into a 0 to 100 grade, returned with the specific patterns that cost points and where they sit on the page. Available through the web UI or as a webhook API for batch runs.
Want this running on your stack?
We build, calibrate, and hand over each system to your team. Workflows export as JSON. Dashboards live in your accounts. No lock-in.
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