Ad moderation has long ceased to be a formality. In practice, it is precisely this that most often slows down launches: creatives sit in review for days, are rejected without clear explanations, and are sent back for another round. Even if the funnel is already running, a single rejection can easily disrupt the schedule and impact revenue.

In recent years, teams have begun to address this problem systematically.

Instead of endless «eyeball» edits, AI tools are increasingly being integrated into the process: they analyze platform requirements, highlight risky wording, and help prepare creatives that pass moderation on the first try. This is not an attempt to circumvent the rules, but rather a way to stop wasting time guessing.

Chapters

Why Ad Rejection Slows Down Modern Ad Teams

When initially placing ads, a significant percentage of campaigns fail moderation on the first try. According to observations, this figure can reach 30-40%, and in competitive and regulated niches, it can be even higher.

The main difficulty is that the reasons for rejection are rarely limited to a single factor. Moderation systems analyze the entire ad-landing page connection:

• The site structure.
• The content’s consistency with the stated promises.
• The presence of required information.
• The overall level of trust.

Even if formal requirements are met, pages that appear templated or poorly developed are often perceived as automated and fail review.

How AI Changes The Moderation Workflow

It is a mistake to think that AI can solve the moderation problem instantly. However, it can significantly simplify repetitive and time-consuming daily tasks.

Among the most common use cases:

• Text editing.
• Layout correction.
• Finding errors that prevent the approval of finished materials.

AI-based systems don’t guarantee the final result will be approved, but they do help avoid the mistakes that people most often make during the preparation stage. By analyzing past moderation decisions, pages are created from the start to be more «safe» for the platform.

The impact of AI is most noticeable at scale, when offers and geographic locations need to be tested quickly. AI is ideal for reducing the workload of a team of specialists and eliminating the problems of constant inquiries and approvals. It’s not a complete replacement for expert review, but it does make the process more predictable.

White Pages As The Foundation Of Approval

For many teams, a «white page» is not just a formality, but a point of first contact that is often underestimated. In practice, it acts as a buffer, giving users and moderation systems time to understand the context before they see the main proposal.

A good «white page» does not try to sell directly. Rather, it appears as a standalone piece of content in its own right: with a clear structure, coherent logic, and a neutral tone. When content is not intrusive and does not deviate from audience expectations, trust levels are significantly higher.

This is why AI tools are increasingly being used in creating such pages – they do a good job of constructing the structure and basic logic of the text, especially if there are examples of already approved solutions.

Where AI-Generated White Pages Outperform Manual Ones

Manually creating pages often boils down to working with the same templates. This is convenient and quick, but over time, these pages begin to look the same—and this is noticeable not only to humans but also to automated proofing systems.

In projects where pages are generated using AI, we re-create the structure each time. Because of this, texts vary in presentation and logic, even if they solve the same problem and still adhere to the rules.

Manual pages have many differences in comparison to white pages. For clarification, check the comparison table.

This difference becomes especially noticeable when launching multiple campaigns simultaneously.

Using AI Tools In Real Ad Funnels

In practice, AI services rarely work as a standalone solution. They are used as a complement to existing infrastructure. Otherwise, they are simply inconvenient to implement. Therefore, compatibility with tracking, masking, and the formats the team already uses is key.

In some cases, such as when launching «white pages», manual development can be unnecessarily time-consuming. In these instances, platforms that allow you to generate pages directly in the required stackL HTML, PHP, or React and seamlessly integrate them into the campaign come in handy.

Solutions like https://white.expert/ are typically used in this format, rather than as a universal builder. This is most often justified in multi-page funnels, when promoting apps, or on e-commerce pre-pages.

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