Mastering Digital Marketing: Strategies for SEO, Social Media, and Paid Media with Matthew Bertram Ep. 613

Ep. 61312 min2024-07-18Guest: Matthew Bertram2,169 plays

AI-generated content risks sounding identical to competitors because shared training models produce similar output, so original human experience and authentic expertise remain the strongest SEO differentiators.

Cover art for Mastering Digital Marketing: Strategies for SEO, Social Media, and Paid Media with Matthew Bertram Ep. 613
Key takeaways
if everybody's using the same training model, all the content is going to sound very, very similar

About this episode

Ever wondered how understanding your customers better can skyrocket your marketing efforts? Join me, Matthew Bertram, as I share some transformative digital marketing strategies that will revolutionize the way you approach search marketing, SEO, paid media, and social media. Whether you're an entrepreneur new to the game or a seasoned business owner, this episode promises to equip you with actionable insights that…

Questions this episode answers

Why does AI-generated content hurt SEO if everyone is using it?

When everyone uses the same AI training models, the output sounds nearly identical. Search engines reward the first person to publish something original and give them the credit, just as Google has always done. Homogenized AI content therefore fails to stand out in search results.

How can you make AI-generated content more unique for SEO?

Feed your own original data and real-world experiences into the AI prompt. The episode uses the example of holding up and talking about a physical product, because algorithms try to validate claims with genuine, experience-based evidence that a shared training model cannot replicate.

In their words

if everybody's using the same training model, all the content is going to sound very, very similar . So the first person to talk about something is going to get the credit, just like Google has always done

Matthew Bertram

good branding just legit good branding goes so far, and authentic conversation and copy goes awesomely far, and I think that there's some degradation in the content that's being created right now

Matthew Bertram

Right now . They want human, legit, real content where someone is genuinely expressing them as an expert authority in a trustworthy fashion

Matthew Bertram
Terms defined in this episode
Training model
The underlying data set an AI tool is built on. When multiple creators use the same training model, their outputs are very similar because the model has no new data to draw from.
Hash match
A technique the episode describes where AI-generated responses, stored in databases, can be identified by matching the token patterns used to produce them, potentially allowing search engines to detect AI content.
E-E-A-T (Expert Authority Trustworthy)
Referenced in the episode as the standard search engines use to evaluate content, favoring creators who genuinely express expertise, authority, and trustworthiness through real experience.

Full transcript is being added.

This episode answers

Matthew Bertram, host of The Best SEO Podcast
Matthew Bertram
AI keynote speaker · Owner & CEO, EWR Digital · President, ModalPoint

Matthew Bertram is an AI keynote speaker, creator of DIG™ (Digital Information Governance), and owner and CEO of EWR Digital. He helps energy and industrial leaders win visibility in AI search (GEO and AEO), is President of ModalPoint and CMO of the Oil & Gas Global Network, hosts The Best SEO Podcast, and has authored eight books including LLM Visibility. More about Matthew Bertram.

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