By Kimberly Manning, VP, Marketing at Kochava
AI search has changed the rules of visibility. For marketers, the question is no longer just how to attract clicks, but also how to remain part of the conversation when audiences find answers even before they reach a website. Businesses with strong thought leadership and a long history of producing material aimed at answering questions and addressing concerns don’t have to abandon their approach entirely. Rather, small adjustments can make a significant difference under the new rules of the zero-click world. Enhancing high-performing content by adding frequently asked questions, reorganising material into digestible chunks and using schema markup ensures that your work can be interpreted effectively by modern search engines and AI-driven platforms. The goal is to preserve audience focus while enhancing accessibility and clarity.
Analysing what already works
Analysis of content performance is central to creating a new strategy. Looking at existing material with a critical eye enables teams to identify where tweaks can improve understanding and engagement. Structured formatting, such as clear headings, bullet points and concise question-and-answer sections, supports quick comprehension. This token-efficient approach, where each question and answer is delivered in a direct, compact form, reduces the processing required by AI engines while ensuring the content remains useful to readers. The principle is straightforward: content should answer the question as efficiently as possible without requiring additional interpretation.
Using AI tools with purpose
The rise of AI tools has added complexity to content strategy. Platforms promising to generate high volumes of industry material or drive traffic quickly don’t always deliver on expectations. Experiments with AI-generated content have shown that without careful oversight, results can underperform, sometimes even decreasing traffic. Evaluating tools involves more than assessing their features; it requires a clear understanding of how data is collected and what insights the tools provide. Effective AI tools can reveal opportunities such as previously overlooked media sources or potential partnerships, but they don’t replace human decision-making. Continuous monitoring and evaluation remain essential as the performance of AI systems is influenced by changing algorithms and the personalisation of search results.
Why websites still matter
For companies whose primary interaction with customers is through apps rather than websites, the importance of owning a dedicated digital space remains high. Websites serve as ideal settings for first-party data and provide a reliable point of contact for audiences. They offer a central location for information that reinforces a brand’s credibility and engages customers throughout their journey. The quality of content and relevance are more valuable than sheer volume; a well-structured site ensures that users can find answers quickly, whether seeking product information, support, or thought leadership. Even with apps taking centre stage, a website is by no means redundant. It is a foundation for controlling messaging and maintaining trust with audiences.
Why writers still matter
While it may seem like you can turn all your content writing over to AI, to produce for AI, it’s not that simple. AI-produced content can be detected—and in many cases will be avoided—by AI engines. AI content also can lack the nuance you know your audience needs. Utilize AI to review and edit your material, perhaps testing different headlines, asking for a revision with a different voice, or targeting a slightly different audience. As a master of synthesis, AI excels at recombination, not genesis. Its unparalleled ability lies in analyzing vast oceans of existing content, identifying underlying patterns, and remixing ideas into coherent outputs. But what it creates is rooted in what has come before. Humans excel at invention and creativity. Find ways to extend and amplify your human writers by putting AI to work for them.
Anticipating audience questions
Structuring content with AI in mind involves anticipating the questions audiences are likely to ask. Instead of describing a product or service in traditional marketing language, content should frame information as practical answers: how to solve a problem, how to achieve a result, or what considerations matter most. Testing prompts and repeating based on responses allows teams to refine tone, clarity and relevance, creating material that meets the needs of the audience while optimising for search and AI engines.
Even as technology and search behaviour adapt, the fundamentals of effective content remain unchanged: clarity, usefulness and audience alignment. The focus should always be on providing structured, accessible information that builds trust and supports informed decisions. Measurement, ongoing adjustment and attention to audience intent are what enable content to remain effective in the age of AI. In practice, this means blending human insight with algorithmic guidance, ensuring that content reaches its intended audience, while still resonating in ways that are meaningful and measurable.
