Paid media is changing on three fronts at once: who sells the inventory, how content gets discovered, and where shopping happens. Over the past two weeks, moves from OpenAI, Google, and Meta brought each of those shifts into sharper focus.

EMARKETER also published fresh data comparing US ad spending with consumer media time, a useful benchmark for pressure-testing where each channel earns its place in the mix.

Here’s what changed, and what it means for performance marketing.

1. What Does the 2026 US Ad Spend vs. Time Spent Gap Mean for Budgets?

US advertisers will spend more than $485 billion this year, yet those allocations do not always line up with how adults split their daily 13 hours and 26 minutes with media, per EMARKETER’s US Ad Spending vs. Time Spent 2026 report.

The report compares spend and attention across every major media channel. The sharpest gap is social: social networks will take 27.7% of US ad spending while accounting for just 12.5% of time spent with media. Some gaps reflect real performance advantages, while others, in EMARKETER’s framing, reflect long-held assumptions worth another look.

Our take

A spend-to-attention gap is not a sign of overspending. Not every minute of attention is equal to an advertiser: social commands a premium because it targets precisely, sits close to the point of purchase, and converts efficiently, so a spend share above its time share is often exactly what performance justifies.

The flip side matters too. Channels that hold large blocks of time but a smaller share of budget, such as connected TV and digital audio, can be underpriced for the incremental reach they add, particularly for upper-funnel brand building. Concentrating spend only where conversions are easiest to attribute can quietly under-invest in the demand that feeds those conversions later.

The report works best as a benchmark rather than a target. Incrementality testing shows which channels are genuinely driving results, and pairing that with a view of brand-building reach keeps the mix balanced. Every paid channel can earn its place; the useful question each planning cycle is whether the split reflects tested contribution or inherited assumptions.  

2. Is OpenAI Building a Publisher Ad Network?

A recently posted OpenAI job listing pointed to ambitions beyond selling ads inside ChatGPT. The ad, for a “support delivery lead” in its ads division, referenced publisher onboarding, ad inventory, and publisher monetization, per Business Insider’s CMO Insider, before OpenAI removed those references after media inquiries.

Until now, OpenAI’s nascent ad business has been a way for advertisers to reach ChatGPT users. A publisher-facing business would put it in the business of helping other companies sell their ad space.  

Our take

If OpenAI moves from selling its own inventory to brokering other publishers’, it steps into territory dominated by Google and Meta and gains a revenue engine beyond subscriptions.

For advertisers, a third large-scale ad marketplace could mean more reach and more competition on price, along with another walled garden that brings its own measurement and rules. It is early, and a modified job posting signals intent rather than a launch. This is worth tracking closely, not yet worth planning around.

3. What Makes a Page Visible in AI Search in 2026?

As search shifts from lists of links toward AI interfaces, what makes a page visible is changing. According to a 2026 study cited by Ad Age, 68% of Google searches now end without a click, and AI systems increasingly read a page’s structure as much as its prose.

That structure includes ARIA accessibility labels, structured data that identifies a price or a product, and clean API endpoints that hand an AI agent reliable information. Google is also integrating AI Mode more deeply into search, letting users ask follow-up questions from AI Overviews and read content inside the interface, which makes machine-readability a growing factor in how brands get surfaced.

Industry testing cited in the piece suggests AI Mode can draw on a proprietary content store rather than the live web, which means how a brand’s information is structured and syndicated across the wider web can matter as much as its own site.

Our take

Content and brand still matter; what is changing is how that value gets communicated to the systems doing the surfacing. Well-structured pages, accurate product feeds, and machine-readable data help AI represent a brand correctly and improve the odds of being cited.

The practical moves are to invest in structured data and answer-engine optimization (AEO) alongside existing SEO, to keep product and pricing data clean and current, and to monitor how AI assistants describe the brand so anything outdated can be corrected. This is an opportunity to shape how AI presents you, and a reason to strengthen the web presence you already have.

4. Why Is Meta Adding Seller Tools to Facebook Marketplace?

Meta launched Seller, a standalone app giving Facebook Marketplace merchants dedicated tools for listing creation, inventory management, and performance insights, synced with their existing Marketplace listings, per EMARKETER. It also introduced a free verification program on Facebook to build buyer trust as AI-generated content grows.

Marketplace is central to Meta’s social-commerce strategy and to keeping younger users engaged. Facebook is projected to have 71.2 million US social buyers this year, ahead of TikTok’s 57.7 million and Instagram’s 53.4 million. Marketplace takes no cut of sales, but it keeps users on Facebook longer, which makes the platform’s ad inventory more valuable.

Our take

Meta is not monetizing Marketplace transactions directly. It is using better seller tools and verification to deepen engagement, which in turn lifts the value of the ad inventory around it.

For brands and merchants, stronger native tools and a trust signal like verification lower the friction of selling on Facebook and can improve standing with buyers wary of AI-generated listings. It is worth testing a Marketplace presence as both a commerce channel and a feed into Meta’s wider ad ecosystem.

What These Signals Mean for Performance Marketing

The through-line is that the infrastructure of paid media is being reworked at the same time as its economics. New potential marketplaces from OpenAI, new optimization signals in AI search, and new commerce tooling on Marketplace are all emerging, while spend-versus-attention data is a reminder that allocation habits deserve a fresh look.

For marketing leaders, the practical response is to confirm each channel’s contribution with incrementality testing, to prepare content and data for machine consumption, to watch new ad marketplaces without over-committing early, and to treat social-commerce tools as both a sales channel and an input to ad performance.

As AI reshapes who sells inventory, how content is found, and where commerce happens, the advantage goes to teams that keep testing and measuring across every channel.

Key Takeaways

· Ad spend and attention do not fully match. Social takes 27.7% of US ad spend but 12.5% of time, a premium its targeting and conversion often justify; confirm it with incrementality and look for underpriced reach in other channels.

· OpenAI may be building a publisher-facing ad network, potentially the biggest shift since Meta’s Audience Network. Track it closely, but do not yet plan around it.

· AI search increasingly reads structure as much as prose (68% of Google searches end without a click). Invest in structured data and AEO so AI represents your brand accurately.

· Meta’s new Seller app and verification deepen Marketplace engagement and lift its ad value. Facebook leads US social buyers at 71.2 million. Test Marketplace as both commerce and ad input.

· The common thread: AI and platforms are rewiring how ads are sold, found, and bought, and allocation and optimization habits deserve a fresh look.

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Relevant Insights

· Article: AI Ad Spending Will Double and More by 2030. What It Means for Search and Chatbot Advertising

· Article: Market Signals #5: How AI and Fragmented Attention Are Reshaping Brand Discovery  

· Article: Market Signals #4: AI Moves Deeper Into Advertising Infrastructure

About Crealytics

Crealytics is an award-winning full-funnel digital marketing agency fueling the profitable growth of over 100 well-known B2C and B2B businesses, including ASOS, The Hut Group, Staples and Urban Outfitters. A global company with an inclusive team of 100+ international employees, we operate from our hubs in Berlin, New York, Chicago, London, and Mumbai.