📈 Reddit’s ad business reported a 69% YOY revenue increase in Q1.

✈️ A Spirit Airlines fan has launched Spirit 2.0, a crowdsourcing effort to buy the airline.

🎧 Spotify identifies human creators with “verified” checkmarks.

🤖 Data: Gartner finds 40% of agentic AI projects will fail.

📊 Report: Google Ads CTR is rising, but conversions remain flat.

🎓 Syracuse University launches Creator Economy minor.

New research from SparkToro highlights a huge AI misconception: While we tend to think of tools like ChatGPT as consistent “answer engines,” they actually behave more like probabilistic generators.

In controlled experiments with nearly 3,000 responses, identical prompts rarely produced the same list of brand or product recommendations (less than 1% of the time) and almost never in the same order.

We’re used to traditional SEO, which assumes stable rankings. But AI outputs appear to show variability in three dimensions: which brands appear, how many are listed, and how they’re ordered. So, “tracking your position” inside AI responses is pretty much meaningless. It’s not fixed.

But while rankings are chaotic, brands that consistently show up, regardless of position, are more strongly associated with a given intent in the model’s training and retrieval patterns.

Here’s what to know:

• AI recommendations are non-deterministic. The same query yields different outputs almost every time.
• Rank tracking is unreliable, as order and inclusion constantly change.
• Prompt diversity amplifies chaos. Users phrase the same intent in wildly different ways.
• Visibility share (frequency of mentions) is a more defensible metric than rank.
• AI tools reflect association, not endorsement. They predict likely mentions, not “best” choices.
• Marketers should demand transparent methodologies from AI tracking vendors.

Head to SparkToro for a closer look at the numbers.

NapoleonCat is a helpful social tool for managing conversations at scale and pulling comments, messages, and reviews from across channels into one dashboard.

Beyond the basics (scheduling, collaboration, analytics), there is AI-powered moderation to filter spam, hide harmful comments, and auto-respond to common questions.

It treats social media less like a broadcasting channel and more like a support channel.

Catch up on Season 2 of The Daily Carnage Show:

• Major Platform Updates (8:17)
• Nike Runs into Controversy (12:19)
• Transgressive OOH (18:45)
• Your Brain on AI (12:33)
• Meta, McDonald’s Mukbang, and The OpenAI Mess (14:41)
• Ethics in the AI Era (18:33)

🎙️ Now streaming on Youtube, Spotify, Amazon Music, and Apple Music.

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Squirrelfriends, check out this campaign by Canva.

In a stunt created with Quality Meats, Canva created a fictional “squirrel worship” movement in NYC by planting a statue, launching “Squirrelites” experiences, and seeding social and influencer content.

Yesterday, they revealed the punchline: this is what happens when even the strangest idea is given the tools to look real.

Weigh in on The Daily Carnage Subreddit:

• The Daily Carnage Show Ep 2.6 Discussion: “Which major social platform updates from this spring are you most excited (or skeptical) about? Which of these features are you likely to test?”
• B2B lead gen and data enrichment tools: “Our team has just had an abysmal experience with Seamless.ai and we’re interested in exploring competitor. Do you have a tool you’d recommend?”
• Using LinkedIn’s Post Inspector to Reset Cached Meta Data and Images: “LinkedIn will sometimes stubbornly associate an out of date featured image with a URL from your website. Here’s a super simple fix.”

General Electric, 1950s