AI Internal Linking Suggester

Why internal linking is the most skipped SEO task

Most blog posts ship with two or three internal links — the ones the writer thought of in the moment. Audit data on 1,000 SMB blogs shows the average post has 4 internal links and the median is 2. The healthy band is 4–10. That gap is real PageRank being left on the floor every week.

Why does it happen? Because manual internal linking is genuinely tedious. You have to remember every URL on your site, scan the new article for natural anchor opportunities, judge whether each link actually helps the reader, and then go back and add it without breaking the flow. After 12 articles, no one keeps doing that work.

What this tool does

You give it three things: the URL + title of the article you want to add links FROM, the body text of that article, and a list of candidate destination URLs from your site (up to 50). The AI reads the source page, scans the candidates, and returns:

• 4–10 specific link suggestions, each with verbatim anchor text from the source body, a target URL, a 1-sentence reasoning, and a relevance score from 1–10.
• A source excerpt showing the 1–2 sentences where each link belongs — so you can find the place to add it in your CMS without re-reading the whole article.
• A link type (contextual, navigational, supporting, or definitional) to help you understand the role each link plays.
• Overall guidanceon how this page fits into your site's link graph — what hub it should point up to, what cluster it belongs in.
• Content gaps— topics the source mentions that don't have a matching candidate page. That's your editorial calendar for next month.
• Prune candidates— URLs you shouldn't link to from this page and why, so you don't consider them again for similar pages.

How to get the best results

1. Paste the actual body text, not a summary. The AI needs the verbatim prose to find natural anchor opportunities.
2. Give it 10–30 candidates, not 100+. Too few and there's nothing relevant to link to; too many and the signal-to-noise ratio drops.
3. Include short summariesfor each candidate (the page's meta description works fine). The model uses these to judge relevance.
4. Run it once per published article as part of your post-publish checklist — about 30 seconds of work that routinely surfaces 5+ links the writer missed.

How this beats LinkWhisper, Link Whisper, and friends

LinkWhisper ($77–247/yr) is the dominant WordPress internal linking tool, but it's WordPress-only and uses keyword matching, not AI. The AI here works on any CMS (paste content from Webflow, Shopify, Ghost, Next.js, anywhere), and it reads the candidate page summaries to judge intent — not just whether the keyword appears in both.

Result: fewer false positives, fewer awkwardly forced anchors, and the system flags content gaps the keyword-matcher would just fail silently on.

Pricing

The Internal Linking Suggester is free — 5 real runs/day on your own pages. Once the daily quota is spent, you see a real demo result on a sample page so an upgrade is informed, not blind. Pro lifts the cap to unlimited runs (30/hour per IP backstop to prevent runaway costs).