THIS might disrupt the $2.2B SEO industry completely (Generative Engine Optimization) (AI Corner)

Marketing School - Digital Marketing and Online Marketing Tips

Eric Siu and Neil Patel

Business, Marketing, Careers

4.6 • 1.4K Ratings

🗓️ 4 January 2024

⏱️ 17 minutes

🔗️ Recording | iTunes | RSS

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Summary

In episode #2651, we discuss the concept of Generative Engine Optimization (GEO) and its potential impact on the future of SEO. We explore a 19-page document that highlights the potential impact of GEO on search engines and provides insights into optimizing content for generative engines. The discussion emphasizes the importance of adapting to new AI-driven search algorithms and leveraging strategies such as authoritative claims, keyword stuffing, statistics inclusion, and fluency optimization. We also mention the significance of brand mentions and relevancy in gaining recommendations from AI-powered search engines Don’t forget to help us grow by subscribing and liking on YouTube! Check out more of Eric’s content (Leveling UP YT) and Neil’s videos (Neil Patel YT) TIME-STAMPED SHOW NOTES: (00:00) Today’s topic: THIS might disrupt the $2.2B SEO industry completely (Generative Engine Optimization) (AI Corner) (02:37) Optimizing for Chat GPT and Bard for better recommendations (05:02) Generative engine optimization methods: authoritative, keyword stuffing, statistics, etc. (07:34) Average 30% improvement in impressions with Geo methods (09:07) Winner takes all in AI-generated search engine recommendations (09:57) First step towards understanding the impact of generative engines (10:42) That’s it for today! Don’t forget to rate, review, and subscribe! Go to https://www.marketingschool.io to learn more! Leave Some Feedback: What should we talk about next? Please let us know in the comments below Did you enjoy this episode? If so, please leave a short review. Connect with Us: Single Grain << Eric’s ad agency NP Digital << Neil’s ad agency X @neilpatel X @ericosiu See omnystudio.com/listener for privacy information.

Transcript

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0:00.0	All right. We're going to talk about the new SEO in town now. It's called
0:03.8	Generative Engine optimization. GEO or you can call it Geo whatever you want to call
0:08.9	it. This hat tip I want to give to Alata Solis and I saw her post about this and this is a 19 page
0:15.5	document. Neil and I got to walk through this and we're going to give you our
0:18.4	reactions to this so Neil this is brand new to Neil right now he's going to be seeing
0:21.8	this in real time.
0:22.8	I actually just started reading this five minutes ago.
0:25.1	So we're basically going through this with you in real time.
0:27.5	So those of you that haven't subscribed to us on YouTube, please subscribe on YouTube.
0:30.7	And we want to talk about how this is going to change SEO in the future and I'm
0:37.4	going to go ahead and share my screen now and then I'm going to read through what's
0:40.1	on my screen so those of you that aren't watching I also going to explain what is on my screen so those of you that are watching I also going to explain what is on the screen as well.
0:46.1	So first things first is when if we scroll to the top over here, so it says the invention of traditional search engines three decades ago
0:54.7	would mark a shift in the way information was accessed and disseminated
0:57.7	across the globe. While these search engines were powerful and ushered in a host of
1:01.6	applications like academic research at e-commerce,
1:04.6	they were limited to providing a list of relevant red sites to user queries.
1:09.0	The recent success of large language models, LLLMs, Calvera has paved the way for better systems like being,
1:14.8	chat, Google's SGE and perplexity. AI that combined the strengths of
1:19.0	conventional search changes with the flexibility of generative models. We dubbed these new age systems generative engines
1:26.0	because they not only search for information,
1:29.1	but also generate multimodal responses
	...

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