Two stories emerged this week that, taken together, paint a picture of a seismic shift in how eCommerce traffic will work over the next few years. The first: new Adobe data shows AI-driven traffic to U.S. retail sites is not only growing rapidly but converting at higher rates than traditional channels, including paid search. The second: OpenAI has begun rolling out advertising in ChatGPT across select markets, while advertisers cautiously test the waters with limited data and evolving features.
Individually, these are important developments. But together, they point to a bigger shift: AI is becoming a decision layer in commerce, not just a traffic source. Its strong conversion today comes from trust and perceived objectivity. But as ads enter the experience, that trust will start to erode. The same mechanism driving performance now is also what puts it at risk, creating a short window for merchants to benefit before the channel becomes more commercialised.
The conversion data is striking
According to Adobe's latest analysis, AI-referred traffic to U.S. retail sites is not only growing, but converting at higher rates than traditional channels like organic search, paid search, and social media. At first glance, this looks like a simple improvement in traffic quality. But the underlying shift is more fundamental.
AI is not just sending better traffic. It is collapsing the funnel. Instead of users moving step by step from discovery to comparison to decision across multiple touchpoints, much of that process now happens within the AI interface before a user ever clicks through.
When a user asks an AI assistant for product recommendations, they are not just searching. They are relying on the AI to filter options, compare alternatives, and narrow down choices based on their needs.
By the time a user clicks through to a merchant’s site, they are no longer exploring. Most key questions have already been answered. What remains is confirmation and purchase.
This is why AI-referred traffic behaves differently. It arrives with intent that has already been shaped, rather than intent that still needs to be developed.
In that sense, AI is no longer just an acquisition channel. It is acting as a decision-making layer, delivering users who are significantly closer to buying than those coming from traditional channels.
But now ads are entering the AI experience
The complicating factor is OpenAI's decision to begin monetising ChatGPT through advertising. Search Engine Land recently reported that OpenAI is expanding ads into new markets, signalling growing opportunities for brands to reach users inside AI-driven experiences.
And this is where the story starts to shift.
The reason AI traffic converts so well right now is that it's not polluted by advertising. When ChatGPT recommends a product, users perceive that recommendation as objective. The moment sponsored results enter the mix, that trust dynamic changes.
We have seen this pattern before in search. Early organic results carried high trust and strong conversion, but as ads expanded, user behaviour shifted, and scepticism increased.
The same cycle is likely to play out in AI interfaces, but faster. What is driving AI’s performance today, namely trust and perceived objectivity, is also what advertising risks eroding over time.
This creates a narrow but important window of opportunity.
Businesses that move early can benefit from high-trust, high-conversion AI traffic before the channel becomes more commercialised and competitive.
What this means for merchants
If AI is becoming the layer where decisions are made, and that layer is starting to commercialise, then the way merchants compete needs to change.
Rather than optimising for volume, which has traditionally defined SEO, the focus needs to shift toward visibility in high-intent, AI-driven contexts.
In practical terms, this means aligning your content and data with how AI systems evaluate and recommend products:
- Product pages need to be AI-readable. Structured data, clear specifications, transparent pricing, genuine reviews, and unambiguous availability information. When an AI is deciding which product to recommend, it's evaluating the quality and completeness of your product information.
- Comparison and buying guide content becomes more valuable. Content that helps an AI understand why your product is the right choice in a specific context, rather than just that it exists, is the content that gets cited in AI recommendations.
- Brand trust signals matter more than ever. AI systems weigh authority and trustworthiness heavily. Consistent, accurate information across your digital presence (site, reviews, social, press) creates the kind of trust signal that AI systems reward.
What On Tap recommends
For our clients and the broader merchant community, here's how we'd approach this moment:
1. Start measuring AI-referred traffic now. If you're not already segmenting analytics to identify traffic from ChatGPT, Perplexity, Google AI Overviews, and similar sources, you're flying blind on the fastest-growing traffic channel.
2. Invest in product data quality. This isn't a new recommendation, but the urgency has increased. AI systems are only as good as the data they can access about your products.
3. Create bottom-of-funnel content that AI can cite. Specific, authoritative, comparison-oriented content that answers the questions AI tools are being asked.
4. Don't rush into ChatGPT advertising. The channel is too immature and the data too limited for meaningful optimisation. Watch, learn, but keep your powder dry until attribution and reporting mature.
5. Protect your organic AI positioning. The window where AI recommendations are perceived as unbiased and objective is closing. Build your presence now while the channel's trust premium is at its highest.
The merchants who understand that AI traffic quality matters more than AI traffic volume will be the ones who thrive as this channel matures. The data is already proving it, and now it's time to act on it.
Conclusion
AI traffic is already one of the highest-quality acquisition channels because it brings users with clear intent rather than just more volume. However, this advantage will not last forever, as advertising enters AI experiences and the same patterns seen in search, including rising competition and declining trust, begin to return. This creates a short window of opportunity where businesses should focus on building strong organic positioning in AI ecosystems while trust and conversion rates are still high, as those who prioritise traffic quality over volume will benefit the most as this channel evolves.
If you are starting to see AI-driven traffic in your analytics or want to understand how to position your brand within these emerging ecosystems, get in touch with On Tap. We help merchants navigate this shift and build strategies that align with how AI is reshaping commerce.
