BackBlog / Marketing Strategy
7 min read·

The Marketing Workflows I Automate, and the Ones I Write Myself

I pointed a content automation system at my own website and let it run. It worked. Then I read a month of it back in one sitting and understood what I had actually built.

Preston Vawdrey

Preston Vawdrey

SEO Marketing Expert

A thick stack of printed pages covered in red pen edits beside a laptop keyboard The more you automate, the more the editing pass matters.

As someone who builds content automation systems for a living, I want to tell you about the time I pointed one at my own website and just let it run.

The whole thing. SEO, AI optimization, briefs, drafts, internal linking, all of it.

Let's get into it.

I Automated a Whole Website and It Worked

For a few months it worked really well.

Output went up. Publishing got faster. The mechanical parts of SEO turned out to be genuinely mechanical, which was the whole bet.

Then I sat down and read a month of it back in one sitting.

It was good! Every piece was competent, structured, clean, and it could have come from any of a thousand other websites.

That was the moment I understood what I had actually built.

What Automation Is Genuinely Great At

The jobs worth handing over all share one trait. There is a correct answer, and getting to it is boring.

Research and gathering. Pulling search terms, clustering keywords, collecting what already ranks. This is the strongest use by a mile.

Briefs. A brief is structure plus inputs. A machine builds one faster than I do, and it never skips a step because it is Friday afternoon.

Mechanical first drafts. Product descriptions, spec pages, location pages. Anything where the job is arranging known facts clearly.

Checking and monitoring. Broken links, missing alt text, schema errors, a page that quietly fell off page one. Machines don't get bored, and boredom is the only reason these go unchecked.

Formatting and repetition. Tagging, internal linking, metadata. Pure overhead, gone.

If you read my post on choosing AI models, every one of these is a quantitative task. There is a pass and there is a fail, and you can always tell which one you got.

What It Is Genuinely Bad At

Automation flattens your voice.

It happens slowly, which is the dangerous part. One perfectly reasonable sentence at a time, until everything you publish sounds like everything everybody else publishes.

The reason is structural. A model is built to produce the most probable next thing, and the most probable thing IS the average thing. Average is a terrible place to be when somebody is choosing between you and a competitor.

So here is my short list of what I never hand over:

  1. Anything that carries an opinion. If the piece exists to argue something, I write it. That is the entire value of it.
  2. Anything built on real experience. What happened on a client account, what I got wrong, what I would do differently. A model was never in the room.
  3. Anything somebody reads at the moment they decide. Service pages, pricing, the about page. People can feel when there is nobody behind the copy.
  4. My point of view on my own industry. Outsource that and you have outsourced the reason anyone would hire you.

But Preston, You Automate Content for a Living

Yeah, so what gives?

Yuhp. I do. And I still believe every word above.

Here is how both of those are true at once. I use automation to get to the starting line, and the part that actually differentiates me gets done by hand.

That is the QA fixer approach I wrote about when I talked about running AI locally. I build the first version of anything by hand, decide what good looks like for that client, and only then automate the repetition.

The Part Everybody Underestimates

The more you automate, the more your editing matters.

And it gets harder as you go.

Reviewing machine output is a completely different job than proofreading. You are checking claims. You are checking that it still sounds like you. You are checking that it actually says something.

Most people set up the automation and then quietly stop doing that second part, because the output looks finished.

Looks finished is the trap. It is grammatical, it is structured, it is confident, and it is hollow. And hollow passes a proofread EVERY single time.

If you can't commit to the review, don't build the automation. You will ship more of the wrong thing, faster.

So What Actually Separates You Now?

I basically wrote this whole post to tell you it depends on how you use the tool, but you came here for a real answer so here is mine.

When everybody can produce competent content instantly, competent content is worth NOTHING.

The floor came up. And it came up for your competitors on exactly the same day it came up for you.

What is left is having a point of view. Knowing what you believe about your industry, being willing to say it out loud, and being able to explain why you believe it.

That is the thing a model can't generate for you, because it requires having been somewhere and come to a conclusion about it.

Where I Would Start

Pick the two most repeated jobs in your week. Automate those two, and keep a real review step on both of them.

Then read a month of the output in one sitting, the way I did.

That one hour will tell you more than any benchmark ever will.

Thanks for Making It This Far

Most people don't read a post about editing workflows all the way to the end, so genuinely, thank you.

If any of this sounds like the problem you are sitting with, I offer SEO, marketing, and AI automation services.

I only accept a few new clients every year so I can keep an ownership level attitude to the clients I do have. But I have a few spots available for this year.

If you're interested in working with me, schedule a time to meet and discuss your business goals, and we can see if there's a good fit.

Signing off,

Preston

Marketing That Actually Moves the Needle

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