CoinMerchant

I just interlinked 200 articles across 9 websites in 2 minutes. Not with some SEO plugin. Not manually. With OpenAI embeddings. Here's how it works and why internal linking is the most underrated SEO lever: Google crawls your site by following links. If an article has zero internal links pointing to it, Google treats it like an orphan page. It barely gets crawled, barely gets indexed, barely ranks. Most people know this. Few actually fix it. Because manually finding "which article should link to which" across hundreds of posts is painful. So I automated it with vector embeddings. Every article gets converted into a 1536-dimension vector using text-embedding-3-small. This captures the semantic meaning, not just keywords. Then for each article with less than 3 internal links, I find the top 3 most similar articles using cosine similarity. The result: contextually relevant links placed in the right paragraphs. Not random "related posts" widgets. Actual in-content links that make sense to both readers and Google. The whole thing cost $0.01 in API calls. 282 articles vectorized, 708 link suggestions generated, 556 links injected via WordPress REST API. → Articles with 3+ internal links get crawled 2x faster than orphan pages → Semantic matching beats keyword matching for anchor relevance → Cross-site linking between topically related domains boosts authority for both → The "Queue → Process locally → Push results" pattern keeps API keys off your server The dirty secret of SEO in 2026: the sites that rank aren't the ones with the best content. They're the ones with the best internal structure. And now AI can build that structure for you.