No-code Internal Linking Automation Tool [Part 3]
This whole thing started with a very simple irritation in my head that refused to go away.
I didn’t wake up one day saying, “Let me build an internal linking engine.” It was more like this quiet, constant nudge every time I hit publish: “Why am I doing the same stupid manual work again and again?”
If you’ve ever run a blog for a while, you know the drill.
You publish a new post, feel good for 10 seconds, and then reality hits.
Now you have to:
open old posts one by one
scroll through endless paragraphs
guess where an internal link “might” fit
overthink anchor text like it’s a board exam
and still worry you’ve missed 10 better opportunities somewhere deep in the archive
I wanted none of that. Not for a small blog. Not for a big one. Not for any future version of me who’ll be publishing regularly and doesn’t want to waste the next hour playing “Where Should This Link Go?” for every single article.
So in my head, the dream was very clear.
I wanted a tool that would wake up every time a new blog goes live and just… quietly do the work for me.
No drama. No dashboards. No extra tab.
In an ideal world, it would:
check the sitemap automatically
crawl every existing blog
figure out which ones are truly related
suggest where I should add links to the new post
give me anchor text ideas based on the old content
even tell me if an older post deserves a refresh because of this new one
and finally send everything to Trello as a clean task
with an email summary so I don’t even have to log in to remember it exists
That was the first dream. My “Auto Internal Link Tool.”
Not a fancy SaaS. Not a productized startup. Just a system that quietly works in the background and respects my time.
The Problem I Hit Immediately
On paper, the obvious solution looked very simple:
“Use an LLM search API. Every time there’s a new post, scan everything, figure out connections, suggest links. Done.”
Except… when I actually looked at the cost of doing this at scale, it was stupid.
Running semantic search across every single blog, every single time a new post is published, meant I was paying again and again for the same understanding of the same old content. That’s like hiring a consultant daily to re-read your entire site and tell you what it means, instead of just letting them take notes once and use those notes forever.
It felt wasteful.
And honestly, I hate systems that only look good in theory but collapse the moment you add some real volume.
So I stopped and asked myself a very basic question:
“What if I don’t depend on the API to ‘remember’ my content every time?
What if I just build my own backend memory once?”
That single question changed the whole approach.
Building the Backend Database
Once I decided I needed my own memory layer, the direction became clearer.
I set up a processing system that would, one time (and then periodically), go through everything I’ve ever published and cleanly store what actually matters:
pull every URL from the sitemap
extract the title, headings, and cleaned main body text
remove menus, sidebars, junk — keep only the real content
generate a compact embedding summary for each post
and store it all in a structured database
So now, instead of re-scanning the entire site again and again, I have something better:
every blog’s core meaning
every blog’s structure
every blog’s context
…captured once and stored as a stable “brain” for my content.
This instantly brought down cost and noise.
And more importantly, it gave me full control. My site, my data, my summaries — not something sitting behind a black-box API that forgets everything the moment the request ends.
Also Read: Building This Internal Linking Database
Adding the RSS-Powered Layer
The next question was obvious:
“Okay, the old content is in. But how does the system know when something new comes in?”
That’s where the second flow came in — a small RSS-powered module that quietly keeps watch.
Every time a new blog goes live:
the RSS feed gets updated
the system grabs that new URL
runs the same cleaning + extraction pipeline
generates an embedding summary
and saves it into the database alongside the older posts
No manual entries. No “I’ll update it later” guilt. No risk that one random blog slips through the cracks because I published it at 2 a.m. and forgot to run some script.
The result?
My content database is always fresh.
New posts are treated exactly like old posts — they all get the same structured, clean, summarized representation. The engine now has a living, breathing map of the entire blog, constantly updated without me lifting a finger.
Also Read: Part 2: RSS Powered Updation Engine
Now the Final Automation Comes to Life
With this backend in place, the original dream finally stops being a dream.
Now, every time I hit “Publish,” the system can:
take the new blog’s embedding summary
compare it against all existing embedding summaries
find the posts that are semantically closest
recommend which older posts should link to this new one
pull heading-level context to suggest natural anchor texts
flag older posts that deserve a small update because of this new content
package everything into a clear list of suggestions
and push a complete, ready-to-execute task into Trello automatically
Plus, it sends me an email summary so I know exactly what’s been suggested, even if I don’t open Trello immediately.
No manual hunting.
No browser tab hell.
No guess-based internal linking.
Instead, it’s clean, context-aware, and repeatable — the sort of system I wish more bloggers and SEO folks had access to, without pretending they love spending weekends in Search Console + spreadsheets.
So That’s the Journey
At the heart of it, this whole system began with one very simple wish:
“I just want internal linking to happen on its own.”
Today, that wish looks like a full backend engine:
powered by embeddings
triggered by RSS
structured around compact summaries
connected to my workflow through automation
designed to quietly scale with every new blog I write
It’s not just a tool anymore.
It feels like the internal brain of the entire blog system — a second mind that remembers everything I’ve published and gently nudges me with, “Hey, this new piece belongs here, here, and here.”
And honestly, knowing myself, this is still just version one.
The base is ready. The brain is online.
Now it’s about seeing how far I can push it from here.