1. The Two-Channel Future: Why AI and SEO Must Coexist
“We’re no longer dealing with a single search engine. You’ve got the legacy model, Google, Bing, etc., but now you’ve also got generative engines like ChatGPT, Claude, and Perplexity that respond to more complex, multi-intent prompts. That changes everything. The average search query in Google is 3 – 4 words. In ChatGPT, it’s 23 words. So if you’re optimizing content the same way for both, you’re already behind.” – Patrick Reinhart, VP of Services & Thought Leadership at Conductor
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2. Rethinking Success: Mentions, Citations & Visibility Over Rankings
“In traditional search, we talk about rankings and position one. But in AI results, there is no such thing. You’re either cited in the synthesis, or you’re not there at all. It’s about being the trusted resource that AI consistently pulls from. That’s what visibility means now. We need to be tracking crawl activity, mention frequency, and retrieval patterns, not just keywords and traffic.” – Patrick
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3. How To Win AI Mentions and Become a Cited Authority
“A mention gets your name in the room. A citation makes you the expert. If AI tools are summarizing the web, you want to be the source they link to, not just a name they drop. Mentions come from being talked about: PR, partnerships, brand awareness. Citations come from being trustworthy and reference-worthy. You need both to really win in AI results.” – Luiza Shahbazyan, Sr. R&D Product Manager at Conductor
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4. From Bottleneck to Breakout: Scaling Content for AI Discovery
“You can’t produce five articles a quarter and expect to be seen. AI systems learn from volume, consistency, and recency. Your content has to be repurposed across formats, platforms, and angles. Think of each blog as a launchpad: How many social clips can come from it? Can it become a short, a reel, a carrousel? That’s what creates visibility in today’s fragmented, AI-powered web.” – Patrick
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5. AI Personas & Infinite Prompts: The New Personalization Frontier
“In AI search, most prompts have an MSV of one. That means they’re unique to the individual and likely never repeated. Traditional SEO can’t keep up with that level of intent diversity. You need flexible, evolving personas built with AI tools that reflect how real people ask for help. And your content has to anticipate and meet multi-intent needs in a single interaction.” – Patrick
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Q&A: Most Helpful Questions from the Webinar
Q1: How do we measure success in AI search if there are no rankings?
A: Track brand mentions, citations, crawl patterns, and inclusion in AI-generated responses. Success now looks like being sourced and referenced across multiple AI engines, not ranking #1 on a SERP.
Q2: What’s the difference between optimizing for a mention versus a citation?
A: Mentions are about visibility and buzz; think PR, community, and social engagement. Citations are about authority and trust, fact-based content, tools, and referenceable insights that AI engines trust and reuse.
Q3: How do we scale content without burning out our team or compromising quality?
A: Start with modular content. One strong article can become social clips, a short video, a visual thread, and more. Streamline approvals and encourage cross-functional reuse to keep content flowing and visible across channels.
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AI Search Playbook: The Strategy Leaders Want — and Teams Can Act On
Need to confidently answer“what’s our strategy?” This session gives you a clear, data-backed measurement framework to solidify your AI Search strategy for the new year.