AI prompts speed up internal linking by scanning a batch of your published URLs and titles, then suggesting which pages should link to each other and what anchor text to use — but the actual link structure decision, and adding a real crawlable HTML link, is still on you. Internal linking done well spreads authority to your most important pages and helps both search engines and readers find related content; done with AI carelessly, it produces generic, keyword-stuffed anchor text that helps no one.
Why Does Internal Linking Matter for SEO?
Google’s own Search Central documentation on crawlable links is explicit about the technical requirement: search engines need a real <a href="..."> HTML tag to discover and follow a link — a button with a JavaScript onclick handler, or plain text formatted to look like a link, isn’t crawlable. Beyond crawlability, internal links distribute “link equity” across your site and give readers an obvious next step, which lowers bounce rate and increases pages per session. A page with zero internal links pointing to it — an orphan page — is far less likely to rank well, no matter how good the content is.
What’s a Good Prompt for Finding Internal Linking Opportunities?
Export a list of your published post titles, slugs, and a one-line summary of each (most CMS REST APIs or SEO plugins can generate this). Then prompt: “Here is a list of my published articles with titles and summaries. For the article titled ‘[X]’, suggest 3-5 other articles from this list it should link to, and for each one, suggest natural anchor text that isn’t just the exact page title.” Feeding the model your real inventory, rather than asking it to imagine categories, is what makes the suggestions usable instead of generic.
How Do You Prompt for Anchor Text That Doesn’t Look Spammy?
Ask explicitly for descriptive, varied anchor text tied to the context of the sentence it sits in, not the target page’s exact keyword repeated everywhere. A prompt like “suggest anchor text that fits naturally into this specific sentence, describes what the reader will find, and varies in phrasing across the different links” avoids the over-optimized pattern where every link on a site uses the identical exact-match phrase — a pattern that reads as manipulative to both readers and search engines.
How Should You Fix Orphan Pages and Thin Site Architecture?
Ask the model to cross-reference your full URL list against each article’s body content: “Which of these URLs are never mentioned or linked from any other article in this list? For each orphan page, suggest 2 existing articles that could naturally link to it, and why.” This turns a manual audit that normally takes hours of clicking through a site into a single structured prompt, though you should always spot-check a sample of the suggestions against the live pages before publishing changes — the same discipline covered in our guide to using prompts to find your competitor’s content gaps.
Prompt: Auditing for Orphan Pages Before They Hurt Rankings
An orphan page — one with no internal links pointing to it from anywhere else on the site — is invisible to both users browsing the site and, over time, to search engines that rely on internal links to discover and re-crawl content. Pages published in a burst and then never linked back to are the most common source of orphans.
Prompt: “Here is a list of all my published URLs with their titles and categories: [paste export]. Group them into topic clusters based on subject matter. Within each cluster, identify which pages likely have the fewest internal links pointing to them based on how recently they were published relative to the rest of the cluster, and suggest 2-3 existing pages that should link to each one, with suggested anchor text for each link.”
This won’t replace an actual crawl-based audit — a tool that follows every link on the site is the only way to know for certain which pages are truly orphaned — but it’s a fast first pass that surfaces obvious gaps, especially on a site that has grown by publishing individual posts over time without a deliberate linking pass between them.
Frequently Asked Questions
How many internal links should a typical blog post have?
There’s no fixed number Google publishes, but most well-linked posts include somewhere between 2 and 8 internal links, depending on length — enough to connect related topics without turning the page into a link directory. Prioritize relevance over hitting a target count; a single highly relevant link beats five forced ones.
Can AI add the actual links to my site automatically?
Only if it’s connected to your CMS through an API or plugin that can edit content directly — otherwise, the model can only suggest where links should go and what text to use, and a human or a script still has to insert the actual HTML. Always verify a suggested link points to a real, live page before publishing it.
Does internal linking help with AI-generated search results, not just traditional SEO?
Yes — a well-linked site makes it easier for an AI system summarizing your content (for something like an AI Overview) to understand how your pages relate to each other and pull a more complete, more accurate summary. See our guide on optimizing content for AI Overviews and ChatGPT Search for more on that connection.
For the technical requirements behind crawlable links, see Google’s own documentation on SEO link best practices for Google Search.
