OpenAI is taking the next step in building its ChatGPT ads platform — introducing self-serve buying, CPC bidding and improved measurement to bring more advertisers into the ecosystem

What’s happening. Ads in ChatGPT are moving beyond a limited pilot, with new ways for businesses to buy and manage campaigns. Advertisers can now access inventory through agency and tech partners — or directly via a new beta Ads Manager rolling out in the U.S.

This marks a shift from a controlled test environment to a more scalable ad platform.

Why we care. Until now, access to ChatGPT ads has been restricted and expensive, limiting participation to large advertisers. These updates lower the barrier to entry, opening the door for SMBs, startups and a wider range of brands to test the channel.

At the same time, introducing CPC bidding brings ChatGPT closer to established performance platforms, allowing advertisers to optimise for actions — not just impressions.

Self-serve Ads Manager. The new Ads Manager gives advertisers direct control over campaigns, including budgeting, bidding, creative uploads and performance tracking.

While still in beta, it signals OpenAI’s intention to build a full-service ad platform — not just a partner-led ecosystem.

Between the lines. This is a familiar playbook. Platforms typically start with high-touch, partner-led campaigns before moving to self-serve tools that unlock scale. ChatGPT is now entering that second phase.

CPC bidding arrives. Previously, ChatGPT ads were sold on a CPM basis. The addition of CPC means advertisers can now align spend with user actions — a critical step for performance marketers.

Given the nature of ChatGPT queries — often exploratory, comparative and decision-driven — clicks could become a strong proxy for intent.

Measurement catches up. OpenAI is also rolling out pixel-based tracking and a Conversions API, allowing advertisers to measure actions like purchases, sign-ups and leads.

Importantly, this data is aggregated, with no access to individual conversations — reinforcing OpenAI’s emphasis on privacy.

Why this is a big deal. Measurement has been one of the biggest gaps in early ChatGPT ads. Without it, advertisers struggled to justify spend. These updates begin to close that gap and make optimisation more viable.

The ecosystem grows. OpenAI is also expanding its partner network, working with agencies like WPP and Publicis Groupe, as well as tech platforms such as Criteo and Adobe.

This allows advertisers to buy ChatGPT ads through tools and workflows they already use.

What to watch:

• How quickly self-serve adoption scales
• Whether CPC performance holds as competition increases
• How measurement evolves to match advertiser expectations

Bottom line. ChatGPT ads are moving from experiment to platform — and with self-serve tools, CPC bidding and better measurement, OpenAI is laying the groundwork for scale.

Google is rolling out new tools to help advertisers better understand performance across increasingly complex customer journeys.

What’s happening. As AI continues to transform campaigns, creatives and targeting, Google is introducing updates focused on data integration, experimentation and media mix modelling — all aimed at helping marketers turn fragmented signals into actionable insights.

Why we care. Automation has made it easier to run campaigns, but harder to understand what’s actually working. These updates make it easier to connect data, prove what’s actually driving results, and make smarter budget decisions across channels. As AI handles more of the execution, having strong measurement in place becomes the key differentiator for performance and growth.

Data is the starting point. Google is expanding its Data Manager to give advertisers a clearer view of how their data flows across platforms like BigQuery, HubSpot and Shopify.

A new map-based interface will help marketers visualise connections between data sources and identify gaps in tracking or configuration. At the same time, updates to the Google tag aim to simplify setup, allowing advertisers to upgrade existing tags without additional coding.

The goal: make it easier to unify signals and improve data quality — which directly impacts campaign performance.

Between the lines. Google is acknowledging a long-standing issue — advertisers struggle more with data setup and integration than with campaign execution itself.

By simplifying tagging and data flows, Google is trying to remove one of the biggest blockers to effective AI adoption.

Proving what actually works. Google is also introducing Meridian GeoX, a new geo-experimentation tool designed to measure incremental impact across regions.

Built on an open-source framework, GeoX feeds into Google’s broader Marketing Mix Model, Meridian, giving advertisers a more defensible way to validate performance — especially when presenting results to finance teams.

This signals a shift toward causal measurement, not just correlation.

Why it matters. As privacy changes reduce visibility and attribution becomes more complex, marketers are under pressure to prove impact. Tools like GeoX aim to provide that “ground truth” — something many attribution models struggle to deliver.

Simplifying media mix modelling. To address the complexity of Marketing Mix Models (MMMs), Google is launching Meridian Studio — a Google Cloud-powered platform that helps teams build, customise and scale models more easily.

The focus is on operationalising MMMs, making them less resource-intensive and more accessible for enterprise teams managing large datasets.

What to watch:

• Whether advertisers adopt MMMs more widely with simplified tools
• How effective GeoX is in proving incremental impact
• If improved data visibility translates into better campaign performance

Bottom line. Google is making a strategic shift: in an AI-driven world, better measurement — not just better automation — will determine who wins.

Initial reports from SimilarWeb indicate ChatGPT ads are outperforming traditional benchmarks on engagement — but with limited inventory and small-scale tests, it’s too early to call this a long-term trend.

What’s happening. According to early analysis, ads appearing in ChatGPT conversations are generating strong click-through rates vs Display and Podcast channels, likely driven by high-intent user queries and the native way ads are integrated into responses.

Unlike traditional search ads, these placements appear directly within conversational answers, making them feel more contextual and less disruptive.

Why we care . If these early CTRs hold at scale, ChatGPT could become a serious performance channel — especially for advertisers looking to reach users at the moment of intent.

But there’s a catch: inventory is still limited, and early performance often looks better before wider rollout introduces more competition and variability.

Between the lines. High CTRs don’t necessarily mean high performance. Conversion quality, cost efficiency and scalability will ultimately determine whether ChatGPT ads can compete with established platforms like Google Ads.

There’s also the novelty factor — users may be more likely to engage simply because the format is new.

Zoom in. Some categories are already showing stronger signals than others.

Mother’s Day-related prompts are far more likely to trigger ads—about three times more than average—because they signal strong purchase intent, with brands like Etsy, Nordstrom and flower retailers already showing strong visibility.

What to watch:

• Whether CTRs hold as inventory expands
• How conversion rates compare to search and social
• If pricing models evolve beyond early testing phases

Bottom line. ChatGPT ads are off to a strong start on engagement — but until scale, cost and conversion data catch up, advertisers should treat this as a promising test channel, not a proven one.

Dig deeper. Advertising in AI: Insights from Real User Behavior

Automation doesn’t fail on its own — it does exactly what it’s trained to do. The problem is that when Google Ads is fed incomplete, misaligned, or overly broad signals, it can optimize toward the wrong outcome faster than most advertisers realize.

In our second installment of SMX Now, our new monthly series, Ameet Khabra of Hop Skip Media will break down a real account where a 417% jump in conversions turned out to be the wrong kind of success. She’ll use that case study to explain the four key ways automation drift enters an account: signal drift, query drift, inventory drift, and creative drift.

You’ll leave with a practical framework for diagnosing drift early, understanding where human oversight matters most, and managing automation more deliberately so it works toward real business goals — not just platform-reported wins.

Join us May 6 at noon ET.

Save your spot

Microsoft Advertising is expanding its Performance Max reporting with publisher-level conversion and spend data — giving advertisers more visibility into where results are actually coming from

What’s happening. According to Microsoft Ads Product liaison Navah Hopkins, the PMax Website Publisher URL report now includes conversion and spend metrics, moving beyond basic placement visibility into actionable performance data.

This gives advertisers clearer insight into which placements are driving real outcomes — not just impressions or clicks.

Why we care. This update gives advertisers visibility into which placements are actually driving conversions and spend — not just impressions. That means better optimisation decisions, from scaling winning inventory to cutting wasted spend. It also makes it easier to trust and justify Performance Max performance with concrete data, rather than relying on aggregated reporting.

How advertisers can use it. The update opens up several practical use cases. High-performing placements can now inform Audience Ads strategies, such as building remarketing campaigns or impression-based audiences from winning inventory.

At the same time, advertisers can identify poor-fit placements and exclude them using account-level URL exclusion lists, helping protect brand safety and improve efficiency.

Between the lines. This is another step toward making automated campaigns more transparent. Rather than replacing control entirely, platforms are starting to give advertisers clearer signals on what’s working — and where to act.

What to watch:

• Whether this level of transparency expands further across PMax reporting
• How advertisers balance automation with manual optimisation
• If similar reporting features roll out across other platforms

Bottom line. With conversion and spend data now visible at the placement level, Microsoft is making Performance Max a little less of a black box — and a lot more actionable.

Google is enforcing a hard cutoff for older API versions, meaning advertisers and developers who don’t upgrade risk losing access to critical campaign management tools.

What’s happening. Google Ads API v20 will officially sunset on June 10, 2026. From that date onward, all requests to v20 will fail, requiring migration to a newer version to maintain uninterrupted API access.

Why we care. If you rely on the Google Ads API and don’t upgrade in time, automated workflows — including reporting, bidding and campaign management — could suddenly stop working. This could lead to data gaps, performance issues and operational disruption. Migrating early ensures continuity and avoids last-minute fixes that can impact campaign performance.

What to do. Google is urging users to upgrade as soon as possible and provides resources like release notes and upgrade guides to support the transition. Developers can also use the Google Cloud Console to review recent API activity, including which methods and versions their projects are calling.

Between the lines. API sunsets are routine, but the impact can be significant for advertisers relying on custom scripts, tools or third-party platforms. Missing the deadline could disrupt reporting, bidding or campaign automation workflows.

The bottom line. This is a firm deadline with real consequences: upgrade to a newer Google Ads API version before June 10 or risk losing access entirely.

Google is trying to simplify one of its most complex products, helping advertisers and analysts get more value from Google Analytics without deep technical expertise.

What’s new. Google Analytics is rolling out Task Assistant, a guided workflow tool that surfaces tailored recommendations to improve property setup, data collection and reporting.

How it works. Available in the left-hand navigation, Task Assistant organizes recommendations into clear categories like connecting accounts, enhancing reporting and fixing data issues. Users can mark tasks as complete as they go or skip items that don’t align with their business goals, creating a more flexible setup experience.

Why we care. Google is making it easier to identify gaps in tracking and fix them quickly, which leads to more reliable data and better decision-making. Task Assistant helps ensure Analytics is properly configured without requiring deep expertise, reducing the risk of missed insights or inaccurate reporting. Ultimately, better data setup means more confident optimization of campaigns and budgets.

Between the lines. Analytics platforms are powerful but often underutilized due to poor configuration. Task Assistant is Google’s attempt to reduce that friction by turning setup into a step-by-step process rather than a manual audit.

The bottom line. Task Assistant aims to make Google Analytics more actionable, guiding users toward better data quality and more effective measurement with less guesswork.

Google is filling a key measurement gap between awareness and consideration, giving advertisers a clearer view of how their brand is actually perceived — not just remembered.

What’s new. Google Ads has introduced a new “Association” metric within Brand Lift Studies. Advertisers can define a concept, category or attribute, and Google will ask users a survey-style question: which brands they associate with that specific idea.

How it works. Instead of measuring simple recall, the metric evaluates whether audiences connect your brand to a desired positioning. That could mean “premium,” “sustainable,” or even a product category — offering a more nuanced read on brand perception.

Why we care. Google is giving you a way to measure brand positioning, not just awareness or recall. The new Association metric helps determine whether campaigns are actually shaping how consumers perceive a brand — a critical step between being known and being chosen. It also enables more strategic optimization of creative and messaging, especially for brands trying to own specific attributes or categories.

Between the lines. Brand Lift has traditionally focused on awareness, recall and consideration. Association sits in between, helping advertisers understand whether their messaging is shaping how people think about the brand, not just whether they recognize it.

The catch. There’s still a constraint: advertisers can only select three Brand Lift metrics per study, so adding Association means making trade-offs with existing KPIs.

The bottom line. Association gives advertisers a more strategic lens on brand building — measuring not just visibility, but whether campaigns are landing the intended message.

First seen. This update was first spotted by Google Ads expert, Thomas Eccel who shared the update on LinkedIn.

Google is doubling down on AI-driven ads just as search behavior shifts toward conversational queries, giving advertisers more automation while trying to preserve control.

What’s new.

AI Max expands beyond Search: Now rolling out to Shopping campaigns and travel-specific formats, broadening reach across more advertiser types.

AI Brief (powered by Gemini): A new interface that lets advertisers steer AI using natural language inputs.

Text disclaimers + URL automation: Compliance-friendly updates to pair with automated landing page selection.

Why we care. Google is making AI Max a core layer across Search, Shopping and Travel, meaning automation will increasingly determine how ads are matched to user intent. This update expands reach into more conversational, high-intent queries that traditional keyword strategies miss, helping brands capture demand earlier in the journey.

At the same time, tools like AI Brief and new compliance features give advertisers more control over messaging and targeting, reducing the risk of fully automated campaigns feeling like a “black box.”

Shopping gets smarter. For retailers, AI Max for Shopping uses Merchant Center data to generate more adaptive ads that can respond to long-tail and exploratory queries, helping brands appear earlier in the discovery phase rather than only at the point of purchase. The rollout is positioned as a simple upgrade for existing Shopping campaigns, suggesting Google wants rapid adoption.

Travel gets consolidated. Travel advertisers get a consolidation play. Search Campaigns for Travel bring previously fragmented formats into a single interface with unified reporting and integrated AI Max capabilities. The move reduces operational complexity while reinforcing Google’s push toward centralized, AI-driven campaign management.

More control with AI Brief. The most notable addition is AI Brief, which attempts to solve a long-standing advertiser concern: lack of compliance control in automated systems. Advertisers can define messaging rules, specify which queries to prioritize or avoid, and shape how different audiences are addressed. The system then generates previews, allowing feedback before campaigns go live.

Automation meets compliance. Google is refining how traffic is directed to websites. Final URL expansion uses AI to select the most relevant landing page for each query, and the new text disclaimer feature ensures required legal messaging remains intact even when automation is active. This signals a push to make AI usable in more regulated industries without sacrificing compliance.

The bottom line. AI Max is evolving from a Search add-on into a foundational layer across Google Ads, combining automation, cross-format reach and advertiser input to adapt to a more AI-driven, conversational search landscape.

Looking to take the next step in your search marketing career?

Below, you will find the latest SEO, PPC, and digital marketing jobs at brands and agencies. We also include positions from previous weeks that are still open.

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(Provided to Search Engine Land by SEOjobs.com)

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• Digital Strategist – Paid Social
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• Paid Media Manager (Promotion Program)
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• Director of AI Demand Generation
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• Senior Director, Growth Marketing
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