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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.
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.
The best questions to answer for AEO are those your customers are already asking. Audit call transcripts, support tickets, and social media comments to find recurring questions, then create content that directly addresses them on your site.
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.
Keyword tools are useless for identifying the ultra-long-tail queries (often 60+ words) that drive Answer Engine Optimization. The best source for this content is your own first-party data. Analyze support tickets, sales call transcripts, and Reddit threads to discover the highly specific questions your customers are actually asking.
Users often ask LLMs specific feature, integration, and use-case questions ('can your product do X?'). These are frequently answered in help center articles. Optimizing this content for AEO—especially for long-tail queries—allows you to win high-intent traffic that traditional SEO often overlooks.
Traditional SEO focuses on a limited set of keywords. AEO requires tracking a vast number of specific questions (prompts) that different customer personas ask AI engines, reflecting their unique challenges and buyer journey stage. This is a fundamental shift in content strategy.
As zero-click searches grow, traditional SEO is declining. Shift focus to AEO by creating structured, direct, citation-worthy answers to common customer questions. The goal is to be the source that AI assistants like Perplexity and ChatGPT cite, not just to rank on Google.
Don't just focus on ranking for broad, initial LLM queries like "best CRM platforms." The real conversion opportunity lies in the highly specific follow-up questions users ask, which reveal their true context and intent. Brands must ensure they appear in these refined, long-tail answers to get chosen.
While long-tail SEO has become less effective, it's a primary strategy in AEO. Users ask longer, more conversational questions (25 words on average vs. 6 for search). Companies can win by creating content that answers very specific, niche questions that have never been searched for before.
Scrape questions and conversations from your community forums or Slack channels. Use this data as a prompt to programmatically create hundreds of specific landing pages that answer real user queries. This strategy builds the hyper-niche content required to rank well in conversational AI search engines.