Traps for content copycats, the AI habit *68%* of people admit to, and the second life of content (with a strategy, too).

5 brand bytes to inform and inspire you this week:

1. The Internet still wants answers.

Back in the day, Ask Jeeves led Search.

The name said it all.

Ask someone (once upon a time, Jeeves) a question, get an answer.

The habit hasn’t changed.

But the medium has.

A recent consumer sentiment survey found 68% of consumers used at least *one* AI tool in the past three months.

And the most common use for AI wasn’t for talking babies or cat videos.

It was for information.

• 38% said they use AI to “research and understand general topics”
• 22% use AI to “write and improve content,” and
• 19% said they use it to “discover or decide on brands, products, or services.”

In other words...

The search bar is now an AI chat box.

But don’t count out TikTok - more search data (and a strategy) in Byte 4!

2. The burger bites the Internet couldn’t ignore.

CEO content is having a moment.

And the unlikely reason: burgers 🍔

Or, as McDonald’s CEO called it, “product.”

When the CEO of McDonald’s posted a video eating the new Big Arch burger “for lunch, just so you know,” the Internet lost it.

Not because of the burger itself, but because of his delivery.

A little stiff and corporate.

A little not-even-sure-he-likes-that-burger.

Small bite. Loads of jargon.

And the Internet *loves* to dissect.

At first, the clip (posted 4 weeks ago) barely moved.

Then, a comedian roasted it on TikTok.

And the algorithm woke up.

By this week, memes spread and parodies followed.

The video suddenly had a second life.

Even other burger executives joined in:

• Burger King’s president ate a Whopper on camera.
• Wendy’s president ate a Baconator (and dipped his fries in a Frosty).

An awkward CEO lunch sparked a multi brand, multi category social media monsoon.

Does virality now favor the patient?

3. When content gets a second life.

Burger-gate reflects a pattern: content can resurface *long* after its original moment.

Take the recent meme of former Peloton pro (and current entrepreneur, fitness pro) with the stern “get ’em banned.”

For weeks, the clip dominated our feeds.

But the moment itself wasn’t new.

It came from a live Peloton class nearly two and a half years ago, from August 2023.

Yet it exploded online at the top of this year, after users rediscovered and repurposed the footage.

That delayed virality shows this: the algorithm has its own timeline.

Content can linger (for years) before suddenly finding the right context, audience, or cultural moment.

What looks like an overnight hit may actually be a slow burn.

And some creators even design for that lag.

For example, one YouTube strategist suggests waiting 24 to 48 hours before publishing your video so YouTube’s AI can crawl and analyze it first.

I can’t confirm or deny whether that improves performance, but it’s something I plan to test.

And it reflects a bigger picture: sometimes the algorithm needs time, too.

4. Repurposing for the Search era.

Speaking of “second lives,” shifts in consumer search behavior create new opportunities to repurpose content across platforms.

An updated 2026 Adobe study found 49% of U.S. consumers now use TikTok as a search engine.

That’s a nearly 20% jump in just two years.

Tutorials are the most watched content type, with 61% of saying they look for how-to videos on it.

And I’m planning to test this firsthand with winning (oldie, but goodie) brand content.

Here’s an example:

Spoken Flames has a 6-second candle care video on TikTok that still get ‘likes’ to this day, even though it was posted nearly *three years* ago.

(The caption did the heavy lifting with a candle how-to.)

It’s proof: discovery doesn’t always expire on the chronological timeline.

So now I plan to bring a good-performing wick trimming Reel (from Instagram) to TikTok.

It’ll be an SEO-focused TikTok for “wick trimmer,” a term that gets about 4,400 monthly web searches.

A sweet spot of low but decent volume, which can drive high impact for brand discovery.

That’s just one example.

You can do the same for your brand.

Same content. New context.

Try it.

5. The copycat trap (well played).

Every week, I comb the Internet and feeds for brand-relevant, group-chat-worthy stories.

News. Media. Random posts that stop my scroll.

Then I break them into bytes and credit the source.

This week, one post had a trap baked in 🪤

A creator described a Canva and Instagram integration:

Connect your account, and Canva could see which carousel slide someone was on when they liked your post, then suggest better hooks and slide order.

Interesting, right?

I saved it to research later.

Then I noticed the one line I had skimmed past:

“And this is the fake update for the folks who steal Annie-Mai’s content.”

So, spoiler: that Canva thing - it doesn’t exist.

It was bait for content copy-and-paste bandits.

Well played?

It raises a question:

When we read something online, are we now to:

1. wonder whether AI wrote it, or
2. whether a human made part of what’s written fake to flag when copycats (and AI) steal it?

And (thinking beyond that post), what data is AI being trained on when the material it cites, and ultimately, feeds back, is false.

It’s already playing lawyer and hallucinating court filings.

More on that next week... 😉

Until then: read closely and verify everything.

More brand bytes next Sunday at 5!