AI

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Curating a ‘digital marketing competitor analysis’ learning playlist with Google Bard

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Today, I'd like to present an experiment in curating learning playlists with Google Bard.

Context

I've recently started a new role as a Digital Marketing Trainer at We Are Digital. I deliver a 10-week bootcamp where learners can walk away with a good introductory understanding of digital marketing.

I also finished my tenure at Filtered as their Head of Marketing, and have written and edited a ton of content all about curating learning content with the help of AI.

A-ha! What if I tried curating learning content for my students each week to supplement the course material?

Experiment

I wrote a prompt, using Filtered's best practices on curating content. Here's how it looks:

I want you to act as a digital marketing specialist and to curate a learning playlist for beginners using free content from the internet.

The objective of the learning pathway is to learn an introduction to competitor analysis in digital marketing.

The learning playlist you create should follow this output:

1. Introduction (Why)

An introductory piece of content which conveys the core concepts in a concise way to help draw the audience in and which can be consumed by all.

Explanation of why this is important and what the learner will be able to understand or do differently by the end of it (ideally, referring in some basic way to proficiency). If it can relate to your industry, so much the better.

Short; typically less than 10 minutes.

2. Explainer (What)

A factual description of what the concept is, typically with definitions to help form a base and consistent level of understanding of the core concept. More of the detail of what the topic is.

Short- to mid-length, typically up to 20 mins.

3. Methodology / Application (How)

To help someone understand what steps they need to take: the how, when, and who of the core concept

Ideally internally created (i.e. your organisation’s own take on how to apply), easily applicable. If it’s not an internal source, then use a well-referenced and well-regarded source.

Mid-length, typically 15-60 mins but can vary.

Result

Google Bard curated 6 YouTube videos, 2 for each playlist section.

Here’s the full output:

Here is a learning playlist on competitor analysis in digital marketing using free content from the internet:

Introduction (Why)

This video and article provide a good introduction to competitor analysis in digital marketing, explaining what it is, why it is important, and the benefits of conducting one.

Explainer (What)

This video and article provide a more in-depth explanation of competitor analysis in digital marketing, covering the different types of competitor analysis, the steps involved in conducting one, and the key factors to consider.

Methodology / Application (How)

This video and article provide a step-by-step guide on how to conduct a competitor analysis in digital marketing, including a free template that you can use.

This learning playlist is designed to be completed in order, starting with the introduction and explainer videos to give you a good foundation in competitor analysis in digital marketing. Once you have a good understanding of the basics, you can then watch the methodology / application video and article to learn how to conduct a competitor analysis in practice.

I hope this learning playlist is helpful!

Observations

  • Because I used the word 'playlist', it took that to mean a 'video playlist'.

  • What it delivered was... okay. They were relevant and short, sharp videos that matched the requirements of each of the sections well.

  • However, some of the videos were several years old, so curating only recent content is something that I would bake into the original prompt.

  • Plus, there was some overlap, which is to be expected when there are six videos rather than a diverse range of mediums.

I will keep experimenting with different AI solutions to see what I get.

Let me know your thoughts and whether you've tried something similar too!