To generate content that ranks in AI Overviews, ask an AI tool like ChatGPT to act as a market researcher analyzing a "frustrated customer." Prompt it to provide long, rambling questions a user would ask when they don't know professional terms, revealing the exact human language needed for your content.

Before buying any AEO tools, mine your sales and customer success call transcripts (e.g., from Gong) for the exact questions customers ask. Then, manually input these questions into various LLMs to see how your company gets cited. This provides a foundational, customer-centric baseline for your strategy.

While querying LLMs for common customer questions is effective, you can enhance this research by also analyzing forums like Reddit and Quora. These platforms reveal raw, unfiltered user pain points and questions, adding a layer of human-centric data to your AI-driven insights.

To create resonant content, move beyond guessing customer problems. Analyze transcripts of past sales calls with an AI tool to identify recurring pain points, common questions, and the exact language your audience uses to describe their challenges.

Instead of asking AI to generate generic blog posts, use it for strategic ideation. Prompt ChatGPT with a detailed description of your ideal client and their transformation, then ask it to list their top 25 problems or questions. This provides a roadmap for creating highly relevant, problem-solving content.

Your customer reviews are a goldmine of authentic language describing the problems you solve and the fears you alleviate. By feeding reviews into an AI tool and asking it to summarize them, you can quickly identify core themes and customer voice to create highly resonant marketing content.

To get included in AI answers, you must answer the specific questions your customers are actually asking. Audit your customer service platform and social forums to find these real-world queries. This surfaces high-intent, long-tail questions that brands often miss when focusing on their own narrative.

Brands are losing business because AI tools recommend competitors. The critical first step is to systematically query engines like ChatGPT and Claude with common buyer prompts. Compiling the results into a report reveals gaps and creates the urgency needed to secure buy-in from leadership to address them.

Feed AI your detailed persona research and data on your top competitors. Then, ask it to identify key persona pain points and values that competitors' positioning fails to address. This process systematically uncovers arbitrage opportunities for differentiated messaging.