MEDIA PREVIEW
Overview & Result
SEO authority Ian Nuttall published an automated internal link builder using Jev. Traditional internal linking tools rely on brittle exact-match keywords or expensive LLM prompt chains. By using Jev's Score API, this tool evaluates 500 crawled articles against target keyword siloes in under 3 minutes, recommending high-intent contextual links and exporting structured CSV/JSON audit reports for under 50 cents total.
How Jev fits in the loop
- Crawls target website sitemaps to build an in-memory index of URLs, H1s, and paragraph excerpts.
- Streams paragraphs through Jev Score API to compute contextual relevance (0.00 - 1.00) against target pillar pages.
- Applies a configurable threshold (>0.85) to filter high-confidence link insertion candidates.
- Generates exact in-text anchor placement suggestions and produces a downloadable CSV mapping.
How to reproduce
- Clone iannuttall/internal-link-jev and install dependencies.
- Configure sitemap.xml endpoint and set JEV_API_KEY in .env.
- Execute node run.js to start asynchronous crawl and Jev Score scoring stream.
- Inspect generated internal_links_audit.csv with recommended anchor placements and relevance scores.
Why this build matters
Democratizes programmatic SEO link audit automation. What previously required $30+ in OpenAI API calls and complex scripts now runs on desktop node scripts in minutes for pocket change.
Reported performance
Reported by authorCost: $0.48 / 500 pages
Latency: 45ms / comparison
Evaluated over 3,200 paragraph-to-target comparisons across 500 crawled HTML pages in 3 minutes total for $0.48.
Limitations
- Does not automatically modify live CMS databases; outputs audit proposals requiring editorial sign-off.
- Requires target site to have accessible clean paragraph markup without aggressive anti-scraping blocks.