Why Do Agents' Recommendations Become Ads?

AI agents will make the traditional boundaries between "recommendations" and "ads" even more difficult to define. A user asked: \- "Find a customer relationship management software for a small team." \- "Recommend some email marketing tools." \- "Which cloud service provider is suitable for this project?" \- "Which payment processor should I use?" These are not ad inquiries. They belong to decision-making inquiries. But product names will still be displayed, and funds will ultimately be concentrated on this surface. So, where is this boundary? If an agent recommends a tool because it truly meets the user's needs, but there are also arrangements for cooperation commissions behind it - can this still be considered a recommendation? If the agent reveals the relationship between the two parties, explains the pros and cons trade-offs, and shows other options, can this maintain trust? Or does the presence of commercial incentive factors completely change the answer? The problem is not just that "there are sponsored ranking results". We already know what such situations look like. The more difficult problem lies in "sponsored reasoning judgments": those seemingly objective rankings are actually influenced by incentive factors that users are unaware of. I'm curious how others will define this boundary: \- When does this count as a normal recommendation? \- When does this belong to advertising? \- When does this turn into spam? So, is simply disclosing information enough? Or do agents need stricter regulations to standardize rankings, evidence, and conflicts of interest issues?