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Internal linking tool
Ian Nuttall's free internal linking tool crawls up to 2,000 pages, maps every internal link, and uses Jev to classify each page and its search intent before recommending link placements with anchors. Runs up to 100 pages are free.
- Reading time
- 2 min
- Published by
- Community
- Author
- Ian Nuttall
- Last verified
- Oct 2026
Used inJev for Sales & Marketing
- Platforms
- Browser
Highlights
- Reads robots.txt and your sitemap, fetches up to 2,000 pages, and maps every existing internal link with anchor text and position.
- Uses Jev to classify each page and its search intent, then recommends the best internal linking structure.
- Free up to 100 pages; bigger runs cost 1 credit ($1) per 500 pages, shown before the run and refunded on failure.
- Crawled by ianbot, which honours robots.txt disallow rules and Crawl-delay; canonical duplicates are skipped in favour of the canonical page.
- Report includes ranked suggestions with anchors and placement sentences, generic-anchor rewrites, and CSV or JSON export.
Watch out
Page copy reviewed 2026-10-15; the fetched text was truncated inside the placement-matching section. Credit purchases were paused at fetch time, though free runs and existing credits still worked, and the page publishes no accuracy figures for Jev's classifications.
Questions about this entry
Short answers drawn from the linked project or page.
It crawls your site, maps existing internal links, classifies each page and its search intent with Jev, and recommends which pages should link to which, with anchor text and a sentence for placement.
Free for up to 100 pages. Bigger runs cost 1 credit ($1) per 500 pages: 1 credit up to 500 pages, 2 up to 1,000 and 4 up to 2,000. The cost shows before the run and a failed run returns its credits.
It reads robots.txt and your sitemap, fetches up to 2,000 HTML pages via ianbot, honours Crawl-delay and skips pages whose canonical URL points elsewhere. Sites without a sitemap are crawled by following links from the home page.
Jev, described on the page as an AI model, classifies each page and its search intent. Its classifications feed the link map, and suggestions are ranked by how confident Jev is.
A link map of pages with few or no contextual links and the pages that should link to them, ranked suggestions with anchors and placement sentences, a page table with type, intent and word count, plus generic-anchor rewrites and CSV or JSON export.
Yes, you sign in with Google or GitHub to run it. Reports stay in your account, you can close the page while a run continues, and the tool emails you when the report is ready.
Each page's body text is split into sentences and headings and scored with TF-IDF; for each source page the eight most similar pages become candidates, and pages with fewer than three links in get a boost so orphan pages gain links.
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