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I'm on a mission to build a GEO strategy that can help you consistently rank in AI search.
But there's a huge problem.
No one seems to agree on how it actually works.
So to cut through the noise, I asked five SEOs who are actively testing tactics and
strategies one question.
What's your best piece of GEO advice?
Right now, we're still in the stage where we try to understand what people want,
but classic search keywords are not hitting the context that people are looking for.
And so my number one tip is about how do you bridge that disconnect?
How do you actually figure out what people might be prompting?
And my way to approach that is to look for conversations that actually happen between
your target audience and the company.
My favorite are sales conversations.
I use transcripts from these conversations.
I will upload them to an LLM and then ask these traditional marketing and product questions.
AI-generated overview
The Ahrefs video presents a comprehensive generative engine optimization (GEO) strategy based on insights from five SEO experts actively testing AI search tactics. The strategy emphasizes that traditional keyword research is insufficient for AI search optimization, as prompts are approximately five times longer than conventional search queries. Key recommendations include analyzing conversational data from sales calls and customer interactions to understand user intent, prioritizing YouTube visibility as the strongest correlating factor for AI mentions, creating niche comparison content and listicles to increase brand citations, and leveraging sponsored link opportunities to associate brands with established competitors. Research cited shows AI-cited content is 26% fresher than traditional SERP content, and YouTube represents the most cited domain in AI overviews. The overarching principle emphasizes building genuine business value rather than relying solely on tactical manipulation, as long-term GEO success rewards trustworthy brands and quality content.
Search prompts in AI are five times longer than traditional SEO keywords because users ask detailed questions and explain their situations comprehensively, requiring a shift from keyword-focused to conversation-focused optimization strategies.
YouTube mentions represent the strongest correlating factor for AI visibility, followed by YouTube mention impressions, with OpenAI having trained on over one million hours of YouTube transcripts and YouTube being the most cited domain in AI mode.
AI-cited content is 26% fresher than content ranking in traditional search engine results pages, making content recency and regular updates critical for GEO success.
Analyzing transcripts from sales conversations, customer support, and Reddit threads using large language models reveals unique topics and user intent that traditional keyword research tools cannot identify.
Five SEO experts discuss an AI-search strategy built around how people actually prompt, so you can spot the GEO signals that get brands chosen right now. Additional Resources: ► https://www.youtube.com/watch?v=gReszNnykpg ► https://www.youtube.com/watch?v=xsVTqzratPs ► https://www.youtube.com/watch?v=6NFei1FbytM Everyone talks about ranking in AI search, but very few can show what actually moves the needle. So I asked five of the smartest SEOs I know to help me build a GEO plan that works in the real world. We dig into why prompts are averaging five times longer than keywords, why sales calls beat keyword tools for insight, and how YouTube mentions, especially frequent and fresh ones, can influence what models surface. You will see how these signals shape AI answers, and where to show up if you want your brand consistently mentioned. Then we go deeper. We look at identity-based content that matches who the searcher is, not just what they typed, like comparison pages tailored to desi