jdevalk

Agent-ready SEO for JavaScript — schema.org JSON-LD graph builder with an Astro integration.

15
2
100% credibility
Found Apr 15, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Tools for adding structured data to websites to boost search engine visibility and AI agent understanding.

How It Works

1
🔍 Dream of better search rankings

You want your blog or site to appear with eye-catching previews in Google and help AI assistants understand your content.

2
💡 Find seo-graph

You learn about this friendly tool that adds smart labels to your pages so search engines love them.

3
📦 Bring it into your site

You simply add this helper to your website builder, like slipping a new ingredient into your recipe.

4
Sprinkle magic on your pages

On each page, you drop in a quick note with the title, summary, and picture – your content instantly gets supercharged!

5
🚀 Launch your improved site

You share everything online with one easy step, and your pages are now ready to shine.

🎉 Enjoy more visitors

Your site now shows beautiful rich results in searches, AI tools grasp it perfectly, and people flock to your content.

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AI-Generated Review

What is seo-graph?

seo-graph is a TypeScript library that builds schema.org JSON-LD graphs for SEO in JavaScript apps, with a tight Astro integration for drop-in components and endpoints. It generates agent-ready structured data—like site-wide graphs, breadcrumbs, images, and videos—that search engines and AI crawlers consume directly via discoverable JSON routes and markdown alternates. Developers get production-ready SEO graphs without manual markup, including IndexNow submission and llms.txt for agent optimization.

Why is it gaining traction?

Unlike generic schema generators, it prioritizes agent-ready endpoints (schemamap.xml discovery, clean markdown for LLMs) and Astro-specific helpers like the head component, hreflang alternates, and fuzzy 404 redirects. The core builder stays framework-agnostic, letting you share graphs across JS stacks, while build-time audits catch H1 issues, duplicate titles, and broken links. Early adopters praise the schema-dts typing for autocomplete on every property.

Who should use this?

Astro devs building blogs, docs sites, or ecom stores needing JSON-LD without boilerplate. Frontend teams targeting AI agent traffic with geography-specific schema (local business, events) or seo graph images/png for rich snippets. JS devs evaluating agent-ready SEO graphs over ad-hoc scripts.

Verdict

Grab it for Astro if you're serious about schema.org—docs are AI-agent production ready on GitHub, with recipes for blogs/podcasts/ecom. At 10 stars and 1.0% credibility, it's immature (light tests, no broad adoption), but the MIT core delivers immediate value over reinventing graphs.

(187 words)

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