Module Semantic Internal Linking
Contextual internal links — powered by semantics, not guesswork.
PENMAN builds a semantic representation of your posts and pages (think: vector-based meaning), then links content contextually — including from older posts to newer ones — to strengthen topic clusters for SEO and help AI systems understand your site for AEO/GEO. No guarantees — just a stronger structure and clearer relationships.
Links based on meaning, not keyword overlap.
Connect historical posts to fresh content.
Changes saved as drafts, approved before publish.
AEO isn’t only about “writing for AI”. It’s also about making relationships explicit so AI can navigate your knowledge. Internal linking is your site’s “map”.
Execution modes You control placement
Choose how links are added
PENMAN can insert links in different shapes depending on editorial preference. Every option is compatible with draft-first execution.
AI chooses the best sentences and inserts links naturally inside the article body.
Adds a short paragraph at the end with contextual references to related posts.
Adds a “See also” section with a clean list of related articles.
Add internal links to a post by selecting a mode and the number of related articles. Example prompt:
- Naturally in the middle — AI inserts links in optimal places in the body.
- Text description at the end — adds a short contextual paragraph.
- Link list at the end — creates a “See also” section with links.
Analytics Whole-site view
Full internal linking analytics (not just HTML)
PENMAN can analyze linking across the entire site: internal + outbound links, link distribution, and the presence of non-HTML resources.
Understand how link equity flows and where users get sent out.
Spot under-linked pages and missing connections in key clusters.
Track resources like PDF, DOC, and downloads referenced across content.
Identify over-linked patterns and inconsistent linking that hurts clarity.
AI systems benefit from explicit relationship graphs. When your content is connected cleanly, it’s easier for AI to navigate topics and pick supporting pages as context.
Note: these are structural benefits. PENMAN does not guarantee rankings, citations, or AI inclusion.
Step-by-step From semantic base to draft
How semantic internal linking runs
A consistent workflow: build the semantic base, choose a target, generate links, and apply them as drafts with diffs.
PENMAN creates semantic representations of your content so it can match by meaning, not just words.
Choose the post to improve — new content, old content, or a priority page in a topic cluster.
PENMAN identifies the best related articles across your site — including older posts that still matter.
Natural insertion, end paragraph, or “See also” list — your editorial choice.
Changes are saved as drafts, reviewed with diffs, and published only after explicit approval via Safe Execution.
Internal linking becomes a repeatable workflow: generate → draft → review → publish — without risky live edits.
- Draft-first updates (autosave/draft)
- Diff review and revision history
- Rollback-ready publishing control
Use Link Sets to define approved destinations and keep linking consistent across teams.
Explore Link SetsWhat teams like about semantic linking
More context, less manual work, and clean approvals.
“It finally links by meaning. Old posts started supporting new ones naturally.”
“The insertion modes are perfect — we can keep our editorial style consistent.”
“Draft-first + diffs made it safe. We ship linking updates weekly now.”
Turn internal linking into a system you can scale.
Build semantic clusters, support SEO and AEO clarity, and keep full control with draft-first execution and diffs.