By choosing to report only verified engagement (filtering out bots and unqualified clicks), a publisher's numbers may look lower than competitors'. However, this forces a focus on quality growth and provides advertisers with data that ultimately proves the higher value and ROI of their audience.

Advertising in chatbots presents a fundamental challenge because LLM responses are unpredictable. Unlike search engines, marketers cannot rely on simple keyword targeting to guarantee ad placement. This forces a shift in ad strategy and measurement, as platforms grapple with how to operate in a probabilistic, conversational environment.

To combat inflated click-through rates from bots, embed a "honeypot"—an invisible link that humans won't see but automated systems will click. This tactic helps clean your engagement data by effectively isolating and filtering out non-human activity.

Data from SimilarWeb indicates that users referred from ChatGPT show dramatically higher engagement and conversion. They spend 3x more time on site, view 25% more pages, and have a 7% conversion rate compared to 5% from Google. This suggests LLMs are a powerful platform for high-intent advertising.

To accurately measure genuine user engagement, marketers should embed an invisible link—a 'honeypot'—in their emails. Automated bots will click this link, allowing marketers to easily identify and filter out fraudulent activity, thus cleaning up click-through rate metrics and providing a truer view of campaign performance.

Unlike search ads that target keywords, ChatGPT ads will target a user's intent inferred from a conversation. The system essentially qualifies the user's needs *before* showing an ad, resulting in traffic that is already in a buying mindset and more likely to convert.

With up to 50% of ad spend wasted on bots and a system where platforms and agencies aren't incentivized to fix it, the best strategy is to opt-out. Brands should invest in building direct-to-consumer channels through owned content and creator partnerships.

Marketers have historically filtered out bot traffic to focus on human engagement. In the AEO era, this is inverted. Monitoring which AI agent bots are crawling your site and how frequently they access your content has become a critical top-of-funnel metric for visibility.

To determine your true click-through rate, send an email campaign at an off-peak time like 2 or 3 AM. The clicks that occur within the first 30 minutes are almost certainly from bots, not real users. This number provides a baseline for how much your standard click metrics are inflated by automated activity.