💡Perplexity’s Deep Research use cases for marketers

Welcome to Wednesday, where the Hump is our Red Hulk to overcome. Or throw in the towel — a safer bet. Either way, today’s Feature Story shows off what marketers can do with Perplexity’s new Deep Research (available in free version). 

I’ve got 2 examples I created and plenty of ideas for using this fresh feature. After chomping down on the Feature Story, enjoy the following sections: 

• The Knowledge Base  

• Self Help (the right music boost) 

• Facts & Stats (podcast trust vs. TV)  

• Get Hacking (a double dose)   

Appetizer: Book I’m reading - highly recommend.

Now, let’s tear open today’s Feature…

How Marketers Can Use Perplexity AI Deep Research Feature

What I love about Perplexity AI versus ChatGPT is how Perplexity doesn’t announce cool features that are “being rolled out in a few weeks.” 

Sam Altman is the boy who cried wolf once too often with ChatGPT. Perplexity makes news with real-time updates you can use right away. 

Its Deep Research feature is live. Even free Perplexity users can take advantage of it. Pro users get unlimited searches using Deep Research, of course.

See the screenshot below to see how to select this option that sorts through tons more sources to give you detailed reports.

5 Ways to Use Perplexity’s Deep Research

1. Market analysis and trend research

2. Develop content strategies

3. Optimize SEO and keyword research

4. Create in-depth product reviews and comparisons

5. Analyze competitor performance and market positioning

I already use Perplexity more than any other AI tool. Mostly I use it for research because bots can’t write right. 

It seems to me this new Deep Research feature is going to make Perplexity an even handier tool.

The key is to get creative with what kind of report or analysis you want the bot to spit out. 

I’ll get you started with two detailed reports that I figured would interest me and other marketers.

🤖SparkToro vs. Traditional SEO Tools (detailed breakdown of nuances and pros and cons using Perplexity’s new feature)

🤖Seth Godin Mini-Biography (this Deep Research report shows marketers the level of activity it takes for a marketer to grab attention, then build and keep an audience over a long career).

I made another example at the end of this post. Analysis of brands leveraging Super Bowl hype without paying out the butt for a Super Bowl Ad.

Remember, the reports are made to study. To give you insights. To guide your marketing efforts. 

They’re not meant to be enthralling reading. That type of writing only comes from humans with creative cells, funny bones, and a few loose screws.

To close out the Feature Story, I’m wondering what types of content or niches this Deep Research feature might topple.

Maybe Online Reviews?

Deep Research could wreck the online review space by providing unbiased, comprehensive comparisons of products or services. Platforms like Trustpilot, Yelp, or Google Reviews rely on user reviews, which can be subjective, biased, or outright fake. 

Perplexity’s new feature could gather data from multiple sources, including technical specifications, user reviews, and expert opinions. This would allow users to make more informed decisions without relying solely on potentially biased reviews.

For example, if you're comparing two SaaS tools or two lawn mower brands, Deep Research could compile a detailed report highlighting features, pricing, user satisfaction, and technical performance, all in one place.

Maybe Content Curation Platforms?

Perplexity's Deep Research can curate content faster in a more personal way for users. Plus, it could analyze content to highlight hidden trends, sentiment, and relevance. 

This would help readers make more informed decisions based on their curated content, offering an advantage over competing curation services. Traditional curation platforms might find it hard to match this level of depth. Exponential depth would generate new ideas for content recommendations, too, I’d imagine.

Alright then. The Knowledge Base is just ahead…

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Self-Help

No magic bullet for being extra-productive (if you’re into that kinda thing).

The best you can do is latch onto the little things that move the needle. Like picking the right kind of music. 

This new study found that only “work-flow music, characterized by steady rhythm, simple melodies, and moderate variations, improved both mood and performance.”

The trick is to track whether this truly boosts your output. Or…

Simply believe it’s 100% true — and like the placebo effect, you’ll likely see a lift in your productivity.

Facts & Stats

Bonus: Advertising alongside ______ can boost brand trust by 60%, with 84% of people saying they’re more likely to trust such brands. Answer at end of email.

Get Hacking

A specific strategy to implement today

Plant tiny mental seeds leading up to your calls-to-action.

I’m sharing this after being reminded of it from the book I mentioned at the top of today’s edition. 

The author used the word “sports” in a paragraph leading up to a quick story about a trip he had taken in a “sleek automobile.”

It was a mental exercise. Meant to plant the image of a sports car in the reader’s mind - without directly saying he was driving a sports car. 

Similar to me using “sharing” three sentences ago, hoping it plants a seed as I ask you to share Inbox Hacking in the outro call-to-action below. 

Alt Hack: Limit bolding in your copy. Everything cannot be worthy of bold text. 

Thanks for reading Inbox Hacking. Please share it with your peeps - it’s sugar-free but stings a bit.

Shane McLendon - Copy Kingpin

Bonus answer from Facts & Stats section: Advertising alongside news can boost brand trust by 60%, with 84% of people saying they’re more likely to trust such brands (BBC’s Sam Mellor).

ICYMI: 🐔🦅Odd couples - how uncommon brand partnerships extend your reach

Extra example of Perplexity Deep Research Use Case: Super marketing without Super Bowl Ad costs.

“By trying to be too precise, marketers can miss out on scale and the potential of someone who may not all fit the specific criteria but could still be interested.” ~Christine Cook, Bloomberg’s chief revenue officer