Paid media in 2026 is not the same game it was twelve months ago. AI has rewritten the rules, across platforms, across formats, and across the very mechanics of how ads reach buyers. From Google moving beyond traditional keyword control to OpenAI opening the doors to ad inventory inside ChatGPT, the changes are structural, not incremental. This is your definitive guide to the PPC news and paid media updates that matter, filtered through Found’s lens, and translated into what you should actually do next.
AI Buyers’ Agents Are Rewriting How Purchase Decisions Are Made
Release date: June 2026
AI agents are no longer just assisting purchase decisions — in a growing number of categories, they are making them. Digital twinning is accelerating this shift: consumers deploying persistent AI profiles that learn preferences, filter options, and complete transactions on their behalf. For paid media, this is a structural disruption. Your ad isn’t just competing for a human’s attention; it’s competing to be selected by an algorithm representing that human.
Why this should be on your radar
The entire paid media funnel was built around human attention spans and decision cycles. AI buyers’ agents compress that funnel, bypass discovery layers, and apply preference logic that your current targeting architecture wasn’t designed to influence. Brands that aren’t visible inside the models powering these agents — through structured data, Brand Optimisation, and authoritative signals — will be invisible at the point of selection. This isn’t a 2028 problem. It’s a 2026 planning conversation.
Immediate action to consider
Audit how your brand is represented across LLMs and AI search surfaces. Found’s Data & AI team can help you build the signals that get you selected — not just seen.
YouTube Is Becoming a High-Intent Search Surface
Release date: May 2026
The platform shift is complete. YouTube is no longer being treated as a “video channel” in media planning, it is part of the search infrastructure. Increasingly, YouTube is being planned and measured against intent signals that have traditionally been associated with Search campaigns. High-intent queries in automotive, finance, beauty, travel, and home improvement are increasingly resolved on YouTube before the user ever reaches a traditional SERP.
Why this should be on your radar
If your paid media strategy still siloes YouTube under “awareness” while Search handles “performance,” you are misallocating budget. YouTube is helping to capture bottom-of-funnel intent at scale. The brands winning here are running connected Search and YouTube strategies with shared audience signals, matched creative, and unified attribution — not two separate channel plans.
Immediate action to consider
Map your highest-converting search intent clusters against YouTube content coverage. Where there’s a gap, that’s a paid media opportunity your competitors are not fully exploiting yet. Speak to Found’s Paid Media team about a connected Search-to-YouTube strategy.
Google Shifts Search Toward AI-Led Commerce Experiences
Release date: May 2026
Google is evolving Search toward AI-led experiences where complex queries, such as comparing products, planning purchases, or evaluating services, are increasingly resolved within the Search interface itself. AI Overviews and related generative experiences are reshaping how users move from intent to consideration, with structured data and product feeds playing a growing role in how information and commercial results are surfaced. Paid Shopping and Search ads are being adapted to participate more directly within these AI-generated results, rather than relying solely on traditional keyword-triggered placements.
Why this should be on your radar
Traditional PPC optimisation, bid strategies, Quality Score management, and ad copy testing, is increasingly being complemented by signals such as product feed quality, structured data, and how well a brand is understood across Google’s AI-driven systems. This is shifting emphasis toward Brand Optimisation as a performance lever, not just an upper-funnel discipline. Brands that strengthen these AI-visible signals now will be better positioned as automated and AI-led campaign formats scale.
Immediate action to consider
Conduct a product feed and structured data audit. Ensure your brand and product information is clean, consistent, and structured for machine readability across Google’s shopping and search systems, not just human browsing.
OpenAI Begins Ad Testing in ChatGPT
Release date: April 2026
OpenAI has begun testing ads in ChatGPT for logged-in adult users on the Free and Go tiers in the United States. The initial format places clearly labelled sponsored content below ChatGPT responses, matched to the context of the conversation. Ads are designed to remain separate from the model’s answers and do not influence the content of responses. This marks the first test of monetised advertising placements within the ChatGPT experience.
Why this should be on your radar
ChatGPT already operates at massive scale, with a rapidly growing user base and increasing commercial search behaviour. The brands that understand this channel early, its contextual logic, its creative requirements, and its audience profile, will hold a first-mover advantage before the auction becomes competitive. This is not a channel to observe from the sidelines.
Immediate action to consider
Begin scoping ChatGPT as a paid media channel now. Assess which of your highest-intent search queries are already being answered inside ChatGPT, and build a testing hypothesis before inventory scales.
Google AI Max Replaces DSAs
Release date: April 2026
Google has confirmed that Dynamic Search Ads will be automatically upgraded to AI Max for Search – initially pencilled for a September transition, but now pushed back to the start of 2027. AI Max replaces the crawl-based matching logic of DSAs with AI-driven query matching, landing page selection, and automatically generated creative. Using Google’s AI to identify relevant search queries, expand final URLs to the most relevant landing pages, and generate ad copy dynamically, AI Max represents a significant shift in how advertisers achieve broad search coverage. For the complete picture on what this change means for your accounts, read our dedicated Two Major Paid Media Updates article.
Why this should be on your radar
DSAs have long provided a middle ground between tightly controlled keyword campaigns and more automated campaign types. AI Max significantly reduces that middle ground. The transition places greater emphasis on Google’s AI systems and raises the stakes on landing page quality, URL structure, and the signals Google uses to generate creative. Brands with weak landing page structures, inconsistent site architecture, or poor content signals may struggle to realise the full benefits of AI Max.
Immediate action to consider
Audit your DSA campaigns and landing page architecture before the migration. Assess where AI-generated copy and URL expansion could create brand risk, and put appropriate guardrails in place now. Found’s Paid Media team is already helping clients prepare for this transition.
Meta’s Andromeda Accelerates the Shift Toward Creative-Led Performance
Release date: March 2026
Meta’s Andromeda system is a clear signal of Meta’s continued shift toward AI-driven ad delivery within Advantage+ automation. Andromeda is a personalised ads retrieval engine that helps determine which ads are selected and passed into Meta’s delivery system, operating at a scale and granularity that significantly reduces the need for manual campaign management. It processes large volumes of signals in real time, enabling more efficient optimisation across audience, placement, and conversion data. The implication is clear: as delivery becomes more automated and model-led, creative quality plays an increasingly important role in driving performance outcomes.
Why this should be on your radar
Brands still investing heavily in granular audience segmentation on Meta are increasingly operating in an environment where delivery is driven by algorithmic optimisation rather than manual targeting control. The competitive edge has shifted toward creative – how fast teams can test, iterate, and produce assets that align with the intent signals Meta’s AI systems use to optimise performance.
Immediate action to consider
Restructure your Meta testing cadence around creative velocity. At Found, our Paid Media and Creative teams work closely together to build rapid testing frameworks designed for the increasing automation of Meta’s delivery systems. In this environment, creative is the primary lever for performance, driving both attention and signal quality as algorithmic optimisation scales.
Reddit Expands AI-Assisted Product Discovery
Release date: February 2026
Reddit is increasingly exploring ways to surface more structured and AI-assisted product discovery within its search experience, reflecting the high volume of purchase-led queries already occurring on the platform. Much of Reddit’s search behaviour is driven by “best X for Y” intent, where users are actively comparing products and seeking peer validation before purchase.
Why this should be on your radar
Reddit search consistently captures high-intent, late-stage purchase behaviour. Users are not browsing, they are validating decisions. As platforms experiment with richer product discovery experiences, Reddit’s role in the consideration phase of the purchase journey becomes increasingly commercially relevant for brands across categories such as electronics, beauty, gaming, fitness, and home.
Immediate action to consider
Audit your Reddit presence across both organic community signals and paid placements. As Reddit continues to evolve its commercial discovery features, it becomes an increasingly important consideration within broader search and social media strategy. Talk to Found about how Reddit fits your Everysearch™ strategy.
Meta Simplifies Conversions API Setup and Expands Signal Modelling
Release date: February 2026
Meta has continued its push toward first-party data adoption by simplifying Conversions API (CAPI) setup within Events Manager, reducing the technical barriers that have historically limited server-side tracking adoption among smaller and mid-market advertisers. Alongside this, Meta has expanded its use of modelled conversions and signal inference to help address gaps in browser-based tracking caused by privacy changes, iOS restrictions, and ad blocking.
Why this should be on your radar
Signal quality is increasingly central to how Meta’s delivery systems optimise performance. AI-driven bidding systems such as Advantage+ rely on complete and consistent conversion data to improve efficiency across audience, placement, and creative combinations. Advertisers relying solely on browser-based Pixel tracking are operating with reduced signal fidelity, which can limit optimisation performance. Streamlined CAPI setup reduces friction in closing this gap.
Immediate action to consider
Implement Conversions API using Meta’s simplified setup options in Events Manager and audit event match quality scores. Found’s Paid Media team can help assess signal health and identify where first-party data improvements could improve auction performance.
The pace of paid media change in 2026 is not slowing down. From Google’s AI Mode reshaping how Shopping and Search ads participate in user journeys, to Meta shifting audience targeting and delivery decisions toward AI-driven automation, to OpenAI introducing its first advertising placements within ChatGPT, the platforms are evolving faster than most planning cycles can absorb.
At Found, we track every one of these developments across every searchable platform. That’s what Everysearch™ is built for. If you want to stay ahead of the latest PPC news and translate these updates into real commercial performance, our Paid Media team and PPC specialists are ready.
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Paid Media Updates and News FAQs
Don't stress, we've got
AI is restructuring paid media at every layer — from targeting to creative delivery to the platforms themselves. Google’s AI Max and Meta’s AI-driven delivery systems are increasingly automating many of the audience, matching, and optimisation decisions that campaign managers previously controlled manually. Meanwhile, AI-native platforms including ChatGPT are emerging as genuine paid media channels. The result is that the human performance advantage has shifted decisively toward strategic thinking, creative quality, and first-party data infrastructure, not bid management.
Google is moving toward AI-assisted search experiences that help users research, compare, and evaluate options directly within Search. For paid search, this means traditional keyword-and-bid optimisation is being supplemented by a new layer of competition: how well your brand, products, and structured data are represented inside Google’s AI reasoning. Brands that invest in Brand Optimisation and clean product feeds now will hold a structural advantage as AI Mode scales.
Three priorities stand out. First, first-party data infrastructure, ensure your conversion signals are complete, server-side, and feeding AI bidding models accurately. Second, creative velocity, in a world where Meta’s Andromeda and Google’s AI Max handle delivery and targeting, creative quality and testing speed become the dominant variables. Third, AI visibility — your brand needs to be represented coherently across LLMs, AI Overviews, and AI-native platforms, not just traditional search. Found’s Everysearch™ approach addresses all three.
Yes. OpenAI began ad testing for Free and Go tier users in the US in early 2026, marking the first test of advertising placements within ChatGPT. The format is contextual rather than keyword-driven, but the commercial intent of ChatGPT users, particularly for product research and comparison queries, makes this a high-value surface. First-movers will benefit from lower competition costs before the auction matures.
Reddit is increasingly exploring richer product discovery experiences within search, building on the platform’s strong position as a destination for research-led purchase decisions. As commercial discovery features evolve, Reddit is becoming a more important consideration within paid media planning. For brands in consumer categories where peer recommendation drives purchase decisions, Reddit’s combination of community trust and AI-enhanced commerce is a compelling proposition.
