AI SEO Agent: Internal Linking & Backlink Graph
Automated 400-page audits (20 hrs/week saved)
Industry
Internal Tool / SEO
Service
AI Integration & Agentic Workflows, SEO Services
Client
Internal Tool
Timeline
4 weeks
The Problem
The SEO team was managing a growing website with over 400 pages.
Manually keeping track of context to create optimal internal links for new content became impossible.
Orphan pages were accumulating, and outdated, irrelevant pages (like a legacy conference game) were mistakenly being indexed, dragging down domain authority.
Evaluating backlinks from Google Search Console for relevance against specific site content was a slow, 20-hour-per-week manual process.
The Approach
Site Ingestion & Graphing
Used Firecrawl to scrape all 400 site pages in under 20 minutes. A custom Python script mapped all inbound and outbound links, visually graphing the site architecture to instantly expose orphan pages.
Internal Linking Agent
Engineered a LangGraph agent that reads the summaries of all pages. When a new page is published, the agent instantly recommends the most contextually relevant existing pages to link to, providing exact priority and rationale. It also flags anomalies, successfully identifying legacy pages that needed to be de-indexed.
Backlink Evaluation Agent
Built a secondary agent that cross-references the site's page summaries with Google Search Console backlink exports. It evaluates the contextual relevance of referring domains, grading backlinks as 'good' or 'bad' to protect domain authority.
Web Dashboard
Wrapped the python logic in a clean web dashboard for the SEO team to run audits and view link graphs effortlessly.
The Results
Manual Audit Time Saved / Week
To Crawl & Graph 400 Pages
Domain Authority via Clean Architecture
Key Takeaways
- →Humans cannot hold the contextual map of a 400-page site in their heads; AI agents armed with RAG and graph logic excel at systemic semantic linking.
- →Crawling an entire site is only heavy once. An intelligent agent architecture allows for instant, delta-based updates whenever a new page drops.
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