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AI is dunking on you.
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AI is dunking on you.
Research using fMRI brain scans reveals the key elements that make people actually like (not just tolerate) video ads.
At the heart of likability is emotional engagement. Ads that start with a compelling emotional scene trigger the brain’s emotional centers early and make people more invested in what comes next.
Successful ads typically pair that emotional start with a logical ending that clearly presents the product or solution.
Another key factor is the multimodal experience, like the use of dynamic visuals, meaningful dialogue and voice-overs, and music or sound effects that reinforce the narrative.
Here’s a little cheat sheet:
Check out the research from Science Says.
You know the drill. Traditional “keyword-first” SEO is being eclipsed by an answer-first approach.
Content must be easy for LLMs to interpret and extract, not just rank on a search engine results page.
LinkedIn’s new guide on optimizing owned content for AI search emphasizes that blog posts, product hubs, and how-tos form the core knowledge base that LLMs draw on when synthesizing answers.
Some key insights:
Spend some time with LinkedIn’s complete guide.
As you know, OpenAI has begun testing ads inside ChatGPT. But how do they integrate into the chat experience?
We’ll keep you posted once the first round of advertisers reveals how testing performed. Head to Search Engine Land for more.
Socialinsider’s 2026 Social Media Benchmarks report, based on analysis of 70+ million posts across major platforms, suggests that engagement is concentrating on short-form video platforms (no surprise there), while legacy networks continue to see flatter or declining interaction rates.
Here’s what you should know:
Take a look at the full report at Socialinsider.
TikTok’s SMB Creative Playbook is all about how creative execution is the biggest performance lever for small and medium businesses.
Here are the key takeaways:
Dive into the 40-page guide from TikTok for Business.
Google Ads is moving from a keyword-matching engine to an intent-modeling system.
Instead of auctions being triggered primarily by specific phrases and match types, Google’s AI now evaluates the broader context of a search, including user behavior, signals, and predicted needs, to determine which ads are eligible.
Keywords still exist, obviously, but they function more as inputs into a machine learning system rather than strict triggers.
So, what does that mean for us?
Take a closer look at Search Engine Land.
Deciding how often to publish a new podcast episode? Well… follow up: what does your audience actually consume?
Bumper recommends using your average episodes per verified listener as a deciding metric. This measures how many episodes a typical listener plays over a given time period (weekly or monthly) based on actual platform engagement, not just downloads.
A show might publish 4–6 episodes in a month, yet the average listener only tunes into 2 of them. When your publishing frequency far exceeds what your listeners play, you could be overproducing relative to audience appetite… and even increase the likelihood that automatic downloads stop.
Consistency still matters, but so does alignment with your audience’s behavior and your production capacity.
Here’s a quick overview to help you think about frequency:
Know your numbers, match your audience’s listening habits, and choose a schedule you can actually pull off. Get the full scoop at Bumper.
Growing your LinkedIn audience starts with optimizing your profile so the right people can find and connect with you. LinkedIn profiles with a clear value proposition get more views and invites.
From there, posting consistently, typically two to five times per week, keeps you visible and signal-boosts your expertise to the algorithm.
Pick a few core themes you can own and craft strong hooks that invite users to click “see more” and hit Follow. Mix up formats too: text posts, carousels, videos, and polls all serve different discovery and engagement purposes.
Thoughtful replies to comments, proactive networking, and interacting with others’ posts builds relationships and drives algorithmic reach, too.
Here’s a quick list of growth levers:
Head to Buffer for more.
Liquid content: Instead of a publishing traditional article, publishers are increasingly publishing info that can flow across formats and surfaces and be reshaped into summaries, audio, video, chat responses, or personalized briefings in real time, based on who’s consuming it, when, and how.
We’re talking about stories that adapt to context, location, time, and interaction. Think of stories now as flexible “atomic” content units, not documents.
What’s behind the shift? Yep, you guessed it.
Agentic AI browsers and answer engines are already liquifying content by pulling, summarizing, and recombining reporting on the fly. That’s what audiences want. Static articles risk becoming invisible, and authors that don’t get on board risk their content powering experiences they don’t own.
And beyond just repackaging for the medium, true liquid content adapts to individual users’ habits, preferences, and intent. That’s why simply turning articles into audio doesn’t really count (that’s more like multimodality). Liquid content is dynamic, personalized, and continuously evolving.
What liquid content unlocks (and complicates):
And if that hasn’t liquified your brain, take a closer look at Digiday.

Rich O'Donnell

Rich O'Donnell

Shannon Sankey

Rich O'Donnell

Rich O'Donnell

Rich O'Donnell

Shannon Sankey

Shannon Sankey

Ian David
