GM Gert Mellak

SEO

Automation in Marketing with Thomas Helfrich

Gert Mellak revisits automation in marketing with thomas helfrich as a practical advisory article for modern SEO, AI visibility, and business outcomes.

Artwork for 098 - Automation in Marketing with Thomas Helfrich

Listen to this episode on Apple Podcasts, Spotify, or YouTube. The full podcast archive is at /podcast.

What the episode covered

  • 098 - Automation in Marketing with Thomas Helfrich

  • 098 - Automation in Marketing with Thomas Helfrich

In this episode, Gert had a very informative conversation with Thomas Helfrich, the founder of  instantlyrelevant.com, who believes that in order to convert trust and loyalty from customers, you need to deliver non-stop relevance.

We hear so much about AI and how it encompasses even marketing automation.  Both Gert and Thomas agree on the  advantages of automation, but it should be to accelerate the tasks of humans, not replace them. There is still a need to leverage technology with human led content development, social media management, and outreach for sales development, for example in the use of email marketing.

  • 00:43 Welcome to episode and introduction of the guest

02:07 Self introduction by Thomas Helfrich and how he landed in AI what he does.

05:13 What are the issues presented to Thomas’ team when being consulted in creating content? …What do you need to watch out for when using these technologies?

08:45 AI is not a replacement for humans, but what areas can we leverage AI technology?

What I would emphasize today

Search has moved beyond one channel. Google still matters, but your buyers also use AI answers, YouTube, Reddit, reviews, communities, and comparison content before they decide.

That means the practical question is not just “does this rank?” The better question is: does this help the right buyer find enough proof to trust us?

How to apply this now

  1. Diagnose the actual visibility gap.
  2. Check whether the buyer researches this topic on Google, AI tools, YouTube, Reddit, or another platform.
  3. Create the asset that answers the question clearly.
  4. Add proof, examples, and structure so both humans and AI systems can understand it.
  5. Measure whether the work leads to better qualified demand, not just more traffic.

BEFORE YOU GO

Find out why AI recommends someone else.

Take the free workbook with you, or find me on social.

FREE WORKBOOK

The Get-Recommended Framework

Six steps, eighteen questions, about an hour of your time. The questions you cannot answer are the diagnosis. Free, and yours to keep.