GM Gert Mellak

SEO

Omnipresence and SEO

Gert Mellak revisits omnipresence and seo as a practical advisory article for modern SEO, AI visibility, and business outcomes.

Artwork for 126 - Omnipresence and SEO

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

What the episode covered

In today’s episode, Gert talks about omnipresence and its relevance to SEO and online marketing. He points out that it’s not enough just to be all over the internet, but to place your brand strategically where your target audience is always available.

Gert also highlights the growing importance of AI and large language models in shaping brand perception. He explains how these models use content from various sources to train themselves, making it crucial for brands to actively engage with their audience across different platforms. This engagement not only influences how AI perceives your brand but also impacts your visibility in search results.

  • Hear more about how Omnichannel Marketing can affect your online presence in this episode.

  • 02:02 What is Omnichannel Marketing and why is it important for your brand?

  • 03:45 The importance of engaging with audiences across different channels

06:46 Examples of how different platforms cater to different audiences

08:55 How covering a wider range of platforms can impact brand perception?

09:28 Practical considerations for omnichannel marketing, including tailoring content to each platform’s specific audience and format.

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.