The B2B buying landscape has shifted. With 70% of buyers being Gen Z/Millennials and 94% using LLMs for information, marketing must evolve. The key is creating content from trusted, expert voices that LLMs will value and surface during the buyer's research phase, making it a new form of SEO.

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.

To shape the narrative presented by AI, valuable content previously hidden behind lead-gen forms (like PDFs and whitepapers) must be made publicly accessible. LLMs cannot consume gated content, so making it public and structuring it for them is crucial for your value propositions to be accurately represented.

To identify the most common questions about your product, query multiple LLMs (ChatGPT, Claude, Gemini, etc.) for the top questions in your category. The questions that appear across all platforms represent the most pressing pain points, which should guide your content and marketing strategy.

HubSpot discovered AI search positioned its Service Hub as a 'CRM add-on,' not a standalone leader. This revealed a crucial gap between their internal messaging and market consensus. AI search acts as an unfiltered mirror, exposing critical positioning problems that need to be addressed.

AI search models process long, detailed prompts like "ERP for a 10k-person manufacturing company in 12 countries." An effective AI optimization strategy involves structuring content with firmographic and technographic data to match these specific, high-intent queries, making answers relevant for both humans and LLMs.

A proactive content strategy involves using LLMs to discover what they don't know or misunderstand about your brand. By analyzing which prompts fail to mention your company or do so incorrectly, you can identify the highest-value content gaps you need to fill to 'educate' the AI.

Instead of using AI for mass content creation, which leads to overload, leverage it to adapt a core value proposition into highly relevant messaging for each persona within a buying group (CEO, CTO, CFO), addressing their specific pain points.

Mark Drosos warns that tools capturing broad prompt surveys provide noisy, generic signals that can misguide marketers. Winning in AEO and agent selectability requires completely breaking down content by exact buyer personas, core topics, and stages of the buying journey. Marketers must evaluate prompts against those granular segments to understand how LLM embeddings interpret their content, rather than chasing vanity citation spikes from low-quality survey data.