What 80% automated link building actually looks like

Hey, it’s Amit here.

There’s a lot of noise around AI agents in SEO right now.

Some of it’s interesting.
Some of it’s marketing.
Most of it is vague.

So instead of theorising about “the future of link building,” I want to show you three very concrete examples of how AI automation is already compressing the operational layer of link building -  today.

Not replacing it.
Compressing it.

And once you see that clearly, you realise something important:

The bottleneck isn’t labour anymore. It’s judgment.

Last year, I built what I call a “super prospector.”

It’s not a glorified prompt. It’s a structured automation.

You drop in a list of URLs. Within minutes, it:

If you’ve ever done this manually  - properly -  you know how long that takes.

Even if you arm a team with ChatGPT, an email hunter, a validation tool and a spreadsheet, you’re still stitching together multiple systems. You’re still introducing friction. You’re still relying on humans to connect the dots.

This runs in minutes.

When we benchmarked it against a manual process, it came in at around 90% accuracy. for something that runs at a fraction of the cost and time of a human data prospecting team, that’s more than acceptable.

But speed isn’t the real advantage.

The real advantage is context.

This system is layered on top of years of internal data  -  thousands of links built across different industries. We know:

That historical knowledge and workflow logic massively improves the quality of the automation.

AI without context is generic.

AI with proprietary context becomes a competitive advantage.

The second example comes from Greg at JollySEO.

He ran a webinar with the founder of Relay.app showing how he uses Relay to create mini AI workflows for guest post outreach.

What impressed me wasn’t that he was “using AI.”

It was the structure.

Instead of manually:

He built a workflow that:

I’m not being paid to promote Relay, but tools like this can be really useful, if you just want to try AI out - and  you don’t want to get bogged down with tools like N8N, Claude Code etc.

The key point here is subtle but important.

The AI isn’t replacing strategy.
It’s accelerating the research and ideation layer.

Content gap outreach only works when the idea genuinely fits the publication and feels natural for their audience. That judgment layer still matters.

But the time it takes to get to a strong, well-aligned angle can be dramatically reduced.

If your team spends a lot of time manually combing through competitor gaps inside Ahrefs/Semrush, and drafting first-pass ideas - or they are talking back and forth with AI to come up with content ideas for a target website -  structured workflows like this can compress that without lowering standards…

…assuming someone competent is reviewing the output.

Now here’s where it gets genuinely interesting.

I recently got a sneak peek at an exclusive automation that strings the entire process together.

Not just prospecting. Not just ideation.

The whole thing.

It handles:

When you watch it run, you realise something: Roughly 70–80% of the operational workflow can now be automated.

That doesn’t mean link building is dead.

It means the manual layer is shrinking fast.

Btw, if you want something like that designed and implemented inside your team, that’s something we can help build around your workflow.

But here’s the caution.

Automation doesn’t remove the need for skill.

It exposes whether you actually have it.

All three examples compress labour.

None of them compress judgment.

This is where I think of the tree surgeon analogy.

Automation is like handing someone a chainsaw.

A chainsaw is powerful. It makes cutting faster. It removes the brute-force element of the job.

But a trained tree surgeon doesn’t just “cut faster.”

They know:

The tool increases speed. The surgeon provides control.

Link building is no different.

That’s the structural judgment layer.

So if someone’s value as a link builder or SEO was primarily administrative, they’ve been exposed. And that’s partly why we’ve seen so many layoffs over the past year.

I’ve interviewed, assessed and trained people in this space since 2016. The SEO workforce is going to diverge into the “haves” and the “have nots.”

If someone’s value is strategic  -  if they understand audience alignment, editorial fit, risk assessment, and how to steer complex automations rather than blindly trust them  -  they’re becoming more valuable, not less.

The chainsaw didn’t replace the tree surgeon.

It made the unskilled cutter more dangerous.

And the skilled operator is more powerful.

Everything we’ve talked about so far sits inside the traditional link building workflow.

Prospecting.
Ideation.
Outreach.

But AI automation isn’t just compressing outreach.

It’s expanding what’s possible around it  - whether its digital PR, content writing or other off-page plays. 

AI is incredibly powerful when it comes to structured deep research.

You can now build workflows that:

If you use that properly, you end up producing content that:

We’ve seen this ourselves. When content demonstrates real coverage depth -  not just keyword inclusion -  it tends to attract references organically.

This applies equally to content refreshes.

👉 Ahrefs had a good podcast episode about using AI to write content at scale: https://www.youtube.com/watch?v=D7LBx8RFOcQ

So, I took their same prompt sequences, made my own version of it - and then paired it with Aleyda Solis’s “AI Search Content Optimization Checklist”.

I now have a ChatGPT project which helps me refresh my blog content, in a much shorter time frame.

Yes, people are probably using tools like AirOps for this. 

Personally, I think many of these platforms are overpriced for what they actually do. If you understand workflows, you can build similar systems yourself using APIs and structured prompts.

The leverage isn’t the brand of the tool.

It’s how well you design the system.

Another interesting shift is how easy it is now to build small, useful tools.

With Claude Code, Cursor and similar environments, you can vibe code:

Embed them on your site.

If they’re genuinely useful, they will also earn links.

This isn’t new in principle  -  linkable assets have worked for years. What’s changed is the barrier to execution.

The caveat?

If it’s easy for you to build, it’s easy for others too.

So originality and audience understanding matter even more.

AI is also creeping into digital PR.

Tools like OliviaBrown.ai (built by Search Intelligence) are pushing toward semi-automated PR systems.

There’s been criticism -  particularly around contributing to outreach slop.

And that criticism isn’t entirely unfair.

Used badly, these systems:

But used carefully, they can:

With PR, most of the results come from how tight your list is, so just be careful with using heavy automation for PR activity.

So back to link building - we’re moving from labour-heavy link building to systems-driven link building.

AI can now:

That’s real.

But authority is still built on relevance, credibility and fit.

Automation amplifies competence.

It doesn’t create it.

If you could automate one part of your link building process tomorrow, what would it be?

Prospecting?
Content Writing/Ideation?
Outreach?
Follow-ups/negotiations?

Hit reply — I read every response.

—

Amit Raj
The Links Guy

P.S. The future of link building isn’t human vs AI… It’s human + AI  -  with a much higher bar for the human part.