Google AI Overviews, FTC vs Amazon, and the death of the merchant model
A short but dense week in marketing news. Google is reshaping the search results page again, the FTC is taking Amazon to court over ad billing practices, and a new retail model is quietly replacing the inventory-heavy merchant setup. Here’s the operator cut.
Google AI Overviews are expanding, organic is moving further down
Google is rolling out fuller AI Overviews for more queries. The “Show more” button is gone for those queries. Instead, the complete AI answer and an “Ask anything” follow-up box appear by default.
The practical result: traditional organic results drop further down the page. Publishers and SEOs get less visibility. Google steers more traffic toward AI Mode rather than the ten blue links.
If your traffic strategy still relies on first-page organic rankings, watch your click-through rates on affected query types. This is not a future risk. It’s running now.
FTC and 22 state AGs sue Amazon over $20B in hidden ad charges
The FTC, joined by 22 state attorneys general, filed suit against Amazon on August 31 alleging the company secretly overcharged advertisers by more than $20 billion through hidden auction surcharges. The alleged practice dates back to a rule change in 2019.
Amazon told advertisers its second-price auction system charged only the minimum bid needed to win. The FTC says Amazon quietly added an undisclosed “soft reserve price” that pushed actual costs higher than advertised.
Amazon disputes the suit, saying its auction system saved advertisers $8 billion between 2021 and 2025. A trial will settle which version holds up.
If you run Amazon ads, this case is worth watching. The outcome could affect how auction mechanics are disclosed and regulated across the platform.
AI citation strategy: listicles are losing, product pages are winning
If your agency or content team built comparison and listicle pages specifically to earn AI citations, those pages just took a hit. After ChatGPT’s August 6 update, citations for listicles fell 50.5%, dropping from 15.77% to 7.80% of retrieved pages. Product pages rose to 16.39%.
The pattern is clear: AI tools now favor primary product and pricing pages with real specs over pages built to match “best,” “top,” or “vs” queries. Audit your citation performance by page type and shift investment toward content that lives on your own domain and contains actual information.
Retail’s merchant model is breaking, not physical stores
More than 7,300 US stores closed last year, the most since 2020. But store openings held just as strong. Physical retail is not dying. The merchant model is.
The merchant model requires retailers to forecast demand and own inventory months before they know whether it will sell. A growing number of retailers are moving to a store-in-store setup instead, renting curated floor space to brands that carry their own inventory risk. Harrods is the cited example: luxury labels run their own sections and set their own prices.
AI shopping agents are accelerating the shift. Faster demand swings raise the cost of bad inventory forecasts, making the traditional merchant model harder to justify.
Quick operator notes
- Pre-BFCM timing: SparkToro research found LED skincare shoppers spend months comparing before buying, using search, AI tools, YouTube, Reddit, and beauty publications. High-consideration products need awareness campaigns well before Black Friday, so BFCM spend converts rather than introduces.
- AI prompt costs change behavior: A study of 1.8M+ prompts from 61,000+ users found that showing prompt costs led users to spend 5% more time refining prompts and generate 8% fewer duplicate image variants. If you manage an internal AI tool or build AI products, surfacing usage costs changes how people prompt.
- ChatGPT 5.6 and site: searches: ChatGPT 5.6 is reportedly running more
site:searches. Use a Google Search Console filter for “site:” queries to see exactly which pages it’s indexing for your domain. - Internal alignment before marketing spend: Ask five leaders at your company to describe it in one sentence. If the answers diverge across target customer, problem, differentiation, brand reputation, and buyer beliefs, no campaign will fix that gap. Alignment comes first.
I’m founder of BizStack at Cagri Sarigoz LLC and a passionate advocate for entrepreneurs.
With over 14 years in tech, marketing, and AI, including my role as Head of SEO at CitizenShipper and co-founder of TaleBot at Intale AI, I’m dedicated to sharing genuine, useful product insights and tips.
At BizStack, I aim to cut through the digital noise to provide clear, actionable advice.
And more than all else, I’m a father to a (always) little girl and a husband.
Contact me at [email protected] for assistance.
