visualizevalue

visualizevalue / context-score

Public

How well does your site explain itself? Scan any URL for identity, structure, depth, connectivity, and discoverability.

19
1
100% credibility
Found Apr 21, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

A scoring tool that assesses how well a website provides clear context, structure, and discoverability for humans, search engines, and AI, along with actionable improvement advice.

How It Works

1
💡 Discover Context Score

You hear about a simple tool that checks how clearly your website explains itself to visitors and smart systems.

2
🌐 Pick Your Site

Choose the website you own or manage and get ready to see its strengths.

3
🔍 Run the Check

Enter your website address and let the tool scan it quickly to understand its clarity.

4
📊 See Your Score

Get an easy-to-read grade like 83/100 with bars showing identity, structure, depth, links, and findability.

5
💡 Spot Opportunities

Review the top tips, like fixing unlinked pages or adding more connections between sections.

6
📖 Follow the Playbook

Use the 10 friendly steps to declare your site's identity, map content, answer questions, and make it quotable.

🎉 Your Site Shines

After tweaks, recheck to see your score soar, making your site easy for everyone to grasp and love.

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Star Growth

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AI-Generated Review

What is context-score?

Context-score is a JavaScript CLI tool that scans any URL and computes a context score out of 100, grading how well your site explains itself to humans, search engines, and AI via metrics like context adherence score, context F1 score, context relevance score, and context similarity score. Run `npx github:visualizevalue/context-score https://yoursite.com` to get breakdowns on identity, structure, depth, connectivity, and discoverability, plus stats like pages crawled, orphan pages, and top fixes. It solves the problem of opaque sites that confuse crawlers, much like checking how GitHub Actions work or how GitHub Copilot helps developers by making context explicit.

Why is it gaining traction?

It stands out with instant npx runs, progress bars, and actionable insights like cross-linking gaps or schema opportunities, bundled with a 10-step playbook for fixes. Developers hook on the AI-focused angles—speakable markup, llms.txt, robots.txt tweaks for bots—revealing issues like poor context score nosm that generic SEO tools miss. No setup, verbose mode for deep dives, and real-world examples from visualizevalue.com make it a quick win over bloated audits.

Who should use this?

Indie hackers optimizing personal brands for AI citation, content site owners fixing orphan pages and internal links, or devs building portfolios that answer "how well do you know me" queries via structured depth. Ideal for those auditing how GitHub Pages work, how GitHub Copilot works internally, or even quirky checks like how well can you hear audio quality on media sites.

Verdict

Grab it for a fresh lens on site self-explanation—solid README playbook outweighs the 19 stars and 1.0% credibility score signaling early days. Test on your site now; iterate with its recs before it matures further.

(178 words)

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