Criteo Discusses AI-Driven Discovery as New Performance Marketing Frontier

I’ve watched performance marketing evolve for years, but Criteo’s latest position on AI-driven discovery is one of the clearest signs yet that the playbook is changing. In its June 18, 2026 post, “Discovery Is Now Performance in the Age of AI,” Criteo argues that discovery is no longer just an upper-funnel branding exercise. It’s becoming a measurable, outcome-driven part of performance marketing.

That shift matters.

For years, marketers treated discovery and conversion as separate stages. Discovery belonged to brand campaigns, social awareness, and content. Performance meant search, retargeting, sponsored products, and conversion-focused media. AI is collapsing those boundaries. When shoppers ask conversational tools what to buy, how to solve a problem, or where to start, intent is being shaped long before a traditional keyword search happens.

Why discovery is becoming performance

What stands out in Criteo’s framing is the idea that AI is pushing influence upstream while keeping it measurable. Instead of starting a shopping journey with a specific product in mind, consumers increasingly begin with a scenario, need, or goal. Someone might ask how to host an outdoor party, sleep better, or get healthier. In those moments, AI tools aren’t just answering questions—they’re shaping brand consideration.

That changes the economics of performance marketing.

If AI assistants, conversational interfaces, and recommendation engines are helping form purchase intent earlier in the journey, then the old lower-funnel-only definition of performance starts to look too limited. Discovery becomes part of the conversion path, not just what happens before it.

Todd Parsons, Criteo’s Chief Product Officer and President of Performance Media, makes that argument directly. His core point is simple: discovery is no longer separate from performance. It’s becoming a place where marketers can influence decisions before intent is fully formed.

The broader Criteo timeline behind this message

This June announcement didn’t come out of nowhere. Criteo has been building toward this position throughout 2026.

In February, the company launched its Agentic Commerce Recommendation Service, designed to power AI shopping assistants with real-world purchase and shopping signals. Criteo said the service could improve recommendation relevancy by up to 60%, pointing to a bigger ambition: giving AI systems better commerce intelligence so their recommendations are more useful and more trustworthy.

Then in March, Criteo expanded Criteo GO, its AI-powered self-service advertising platform, to full self-service access for SMBs and growth-stage brands. The company highlighted early cross-channel results showing roughly 20% higher ROAS compared with more traditional setups. That mattered not just as a product expansion, but as evidence that Criteo sees AI as central to campaign execution, not merely audience analysis.

By June 5, Criteo was already positioning GO as a full-funnel, cross-channel performance platform. Less than two weeks later, it sharpened the message further: the next frontier is discovery itself.

What AI changes in the funnel

The biggest implication here is that the funnel is becoming less linear. The old model—awareness, consideration, conversion—still has value, but AI interactions make the path more fluid and compressed.

A shopper can move from a vague need to evaluated options in a single conversation. They can ask follow-up questions, compare brands, reject suggestions, refine preferences, and reach a purchase decision without ever behaving like a traditional search user. That means marketers need to think beyond clicks and last-touch conversions.

In this environment, performance signals may include:

• the problems consumers are trying to solve
• the categories they explore first
• the options AI systems surface or discard
• the trust signals attached to products and brands
• the quality of structured commerce data feeding recommendations

This is where Criteo believes it has an advantage. The company’s commerce intelligence platform is built on large-scale shopper behavior and transaction data, which it says can make AI-driven discovery more relevant, measurable, and conversion-oriented.

Discovery Audiences and the new media opportunity

One of the more concrete takeaways from Criteo’s announcement is the introduction of Discovery Audiences within Criteo GO, with broader expansion expected later in summer 2026. The idea is straightforward but important: help brands identify and reach demand earlier, including new-to-brand or new-to-category shoppers before explicit buying intent appears.

That’s a meaningful break from classic retargeting logic.

Instead of waiting for consumers to signal purchase intent through product views or searches, marketers can start influencing choice while intent is still taking shape. If done well, that gives brands a better chance of becoming part of the recommendation set AI tools present to users.

And that recommendation set may become the most contested real estate in digital commerce.

Trust, data, and visibility in an AI-mediated market

Another reason this shift matters: AI doesn’t just reward ad spend. It rewards clarity, structure, trust, and usefulness. An AI assistant can only recommend products effectively if it has reliable, current, machine-readable information. If the data is outdated, thin, or inconsistent, recommendation quality drops.

That creates a new kind of marketing discipline.

Brands now need to think about how they are understood by AI systems, not just how they appear to human shoppers. Paid discovery and organic visibility are likely to converge even more. The rise of generative engine optimization, structured feeds, rich product data, and verifiable commerce signals all point in the same direction: visibility in AI environments depends on being both discoverable and credible.

Poor-quality advertising may also carry a bigger penalty. If an ad feels irrelevant or unhelpful in a conversational setting, it doesn’t just underperform—it can erode trust in the recommendation environment itself.

What this means for brands and agencies

The practical takeaway is clear: brands and agencies need to rethink what qualifies as performance media. The future isn’t just about bidding on bottom-funnel intent. It’s about influencing upstream decisions in channels where AI acts as advisor, guide, filter, and increasingly, agent.

That means teams should be preparing for:

• more conversational and scenario-based discovery behavior
• measurement models that go beyond last-click attribution
• stronger integration between paid media, product data, and retail signals
• new creative approaches built for utility, not interruption
• optimization strategies that account for both human behavior and AI interpretation

The companies that adapt early will likely capture disproportionate share, because AI-mediated discovery tends to narrow the number of options users seriously consider. If your brand isn’t surfaced in that early recommendation cycle, you may never get the chance to compete later.

FAQ

What does Criteo mean by AI-driven discovery?

Criteo is referring to the early stages of the buying journey, where AI assistants and recommendation systems help shape consumer intent before a shopper makes a direct search or visits a product page.

Why is discovery now considered part of performance marketing?

Because AI is making early-stage influence more measurable and more directly connected to downstream outcomes like consideration, conversion, and revenue.

What are Discovery Audiences?

Discovery Audiences are Criteo GO audience capabilities designed to help brands reach consumers earlier in the decision process, especially new-to-brand or new-to-category shoppers.

How does this affect brand strategy?

Brands need stronger product data, better structured feeds, broader measurement models, and media strategies that account for how AI systems surface and evaluate recommendations.

Conclusion

Criteo’s message is more than a product update or a thought-leadership push. It reflects where performance marketing is heading: toward a model where discovery, trust, and recommendation are directly tied to outcomes. As AI assistants play a larger role in how people explore products and solve problems, marketers will need tools that connect upstream discovery with downstream revenue. For brands looking to stay sharp as this shift continues, ROAS Suite is a smart place to start building a more measurable, AI-ready performance strategy.