AI creative settles into a house style. Brand advertising pays for it first.

In the ninth episode of Assistant to the CMO, Lexie Meskouris speaks with Will Nash and Harjot Singh about why AI-generated creative is starting to look the same everywhere, and whether getting out of it is a quick fix or a strategic choice.

Both hosts call the problem real, then split on the cause. Will Nash sees convergence built into the models, from the small pool everything is built on to a reward process that selects whatever the fewest people object to. That, he argues, forces a choice between chasing scale and protecting a design language. Harjot Singh says it comes from taking the output as it arrives, and that the cure costs an afternoon.

The second half turns to New York's new law requiring a label on AI-generated performers. Will treats it as a compliance matter to hand over and wait out. Harjot calls it vanity regulation aimed at the wrong problem, and they split on whether a label repels audiences or attracts them. Neither would build a brand around a synthetic face yet, and both end up at the same practical move, which is to give the model something only your company has.

Highlights of this Episode Include:

• Default Use Creates the Sameness: Harjot argues most people take the first good output and stop pushing, so everyone ends up in the same place.
• The Speed Trap: Work that took four days now takes thirty minutes, and that feels like an achievement until everyone else clears the same bar.
• Why the Models Converge: Will points to a small pool of image models and a reward process that selects the option fewest people object to.
• They Disagree on the Mechanism: Harjot rejects Will's model-scarcity account, blaming a loop where models train on what other models wrote.
• Where Sameness Actually Costs You: Will argues convergent work barely hurts click-driven marketing, but gets expensive in brand and reach.
• New York Labels Synthetic Performers: Will hands it to compliance and waits. Harjot calls it vanity regulation aimed at the wrong problem.
• The Test for Your Own Prompt: If someone at another company could paste your prompt and it still made sense, there is not enough of you in it.

Listen and subscribe: https://AssistantToTheCMO.show

Learn more about Aloudable: https://aloudable.com/

Book a demo: https://aloudable.com/get-a-demo

New episodes of Assistant to the CMO land every Thursday.

In the eighth episode of Assistant to the CMO, Lexie Meskouris speaks with Will Nash and Harjot Singh about what happens when the AI answer becomes both an advertising surface and a measured one.

The episode opens on ads moving inside AI answers, now alongside roughly a quarter of Google's AI Overviews. Both agree it is a real shift that dwarfs the ChatGPT ad pilot at Google's scale. They split on who benefits. Harjot sees cheap, underpriced slots and early-mover advantage, because the conversation itself is the sharpest targeting signal advertisers have ever had. Will is warier, arguing the brands already baked into the models when they trained hold the edge.

The second half turns to Google's new Search Console reports and its crackdown on gaming AI citations. Will sees GEO becoming a real, measurable discipline. Harjot calls the early tools fake comfort and warns that an impression only matters when it moves real traffic. The practical takeaway: run one small AI-ad experiment now to learn the channel, and treat the new data as a signal, not a target.

Highlights of this Episode Include:

• The Ad Moves Inside the Answer: Ads now sit inside about a quarter of Google's AI Overviews, a far bigger shift than the ChatGPT pilot.
• The Conversation Is the Target: The chat is the richest targeting signal advertisers have had, which is also what makes it feel intrusive.
• Cheap Slots, So Experiment Now: With the slots underpriced, Harjot's advice is to run one small AI-ad campaign to learn the channel, not to win.
• Incumbents May Already Hold the Edge: Will argues brands prolific when the models trained are baked in, while others effectively pay to appear.
• Google Starts Scoring the Answer: New Search Console reports show how often you appear in AI answers, and gaming citations now risks a penalty.
• Split on Whether GEO Is Real: Will sees an auditable discipline emerging; Harjot calls the early measurement tools fake comfort.
• Grill the Vendor, Correlate the Data: Press GEO sellers on structure versus citations, and trust an impression only when traffic moves with it.

Listen and subscribe: https://AssistantToTheCMO.show

Learn more about Aloudable: https://aloudable.com/

Book a demo: https://aloudable.com/get-a-demo

New episodes of Assistant to the CMO land every Thursday.

In the seventh episode of *Assistant to the CMO*, Lexie Meskouris speaks with Will Nash and Harjot Singh about the widening gap between where a page ranks on Google and whether an AI actually cites it.

The starting point is an Ahrefs study finding that only 37.9% of the pages an AI Overview cites still sit in Google's top ten, down from 76% a year ago. Harjot reads it as a clear signal that answer engines are becoming how people find things. Will reads it as mostly noise, arguing the models are just cleaning up the sloppy way most people search. They agree on one point: ranking first and being recommended by the AI are no longer the same list.

The second half turns to a vendor study of a hundred SaaS brands, which reports that the top-ranked brand can be absent from the AI's answer while smaller companies with real third-party validation get picked. Will and Harjot split on why, but agree on what a marketer should do first: run your key buying questions through the AI, see whether you appear at all, then give one person the job of fixing it. More content is not the lever.

Highlights of this Episode Include:

• Ranking and AI Citation Have Split: Only 37.9% of AI Overview citations still sit in Google's top ten, down from 76%.
• Signal Versus Noise: Harjot calls the shift the future arriving; Will calls it people finally searching better.
• Query Fan-Out Explained: The AI breaks your question into sub-questions and cites pages that never ranked for it.
• The Number-One Brand Can Be Absent: A vendor study reports top-ranked SaaS brands going missing from the AI's buying answer.
• The Dollar Machine Traps Incumbents: Big teams cannot switch off a proven revenue engine to chase something unmeasured.
• Luxury Brands Face a Harder Problem: Answer engines weigh product information over the look and feel a glossy brand sells.
• Your Monday Move: Run your top buying questions through the AI, then assign one person to own AEO.

Listen and subscribe: https://AssistantToTheCMO.show
Learn more about Aloudable: https://aloudable.com/

Book a demo: https://aloudable.com/get-a-demo

New episodes of *Assistant to the CMO* land every Thursday.