The clearest sign a company is not ready for AI-driven discovery

Summary

---

Podcast Summary: Voices of Search

Episode: The clearest sign a company is not ready for AI-driven discovery
Date: March 14, 2026
Host: Jordan Cooney
Guest: Moto Lanvier, CMO and Chief Product Officer at Peak AI

---

Episode Overview

This episode digs into the evolving landscape of AI-driven discovery in SEO and content marketing. Host Jordan Cooney speaks with Moto Lanvier about the pitfalls companies face when evaluating readiness for AI discoverability, actionable strategies for better prompt selection, and the importance of understanding real user input over internal assumptions. The discussion is filled with practical advice and a focus on leveraging actual data from users to inform prompt and content strategies.

---

Key Discussion Points & Insights

1. The Best Signal for AI Discoverability

• Speaker: Moto Lanvier
• Summary: When determining if a company is ready for AI-driven discovery, traffic metrics aren’t as valuable as user attribution and direct feedback.
  • Notable Quote [00:58]:
    “Ask your leads, ask your users. It's the best thing I have at the moment.” — Moto Lanvier

2. Prompt Selection in LLM-driven Search

• Prompt Obsession is Misguided:
  Moto cautions against obsessing over the exact wording users may use, as large language models (LLMs) excel at understanding broader context, intent, and topics.
  • Notable Quote [01:17]:
    “You don't need to know word for word what a user typed yesterday because for the next six months nobody might cite the exact same prompt word for word anyways.” — Moto Lanvier
• Focus on Topics, Not Exact Queries:
  Instead, marketers should focus on generating prompts around core topics and user intents, rather than trying to predict specific phrasings.

3. Capturing Real User Language

• Apply User Data Sources:
  Moto emphasizes leveraging real user interactions—such as customer support tickets, sales call transcripts, site search bars, and chatbots—to uncover the terminology customers actually use.

  • Actionable Strategy [03:05]:
    Moto suggests feeding actual user phrasing into LLMs or prompt generation workflows for more relevant content and discoverability.

• Multiple Prompts & Personas:
  Don’t rely on a single prompt or test—consider multiple prompts across different personas, sales funnel stages, and intents to generate a comprehensive view.

  • “Always think about a topic with multiple prompts… Do I have different personas? Different sales funnel stages? Different search intents that I care about?” — Moto Lanvier [03:40]

  • Best Practice:
    Aggregate data from these various prompts and scenarios for a more robust evaluation of discoverability and user engagement.

4. Key Takeaway: Data-Driven Approaches

• Closing Thought:
  The episode wraps with a reinforcement to rely on user data and aggregation, not assumptions, as the path to success in AI-driven search.
  • Closing Quote [03:59]:
    “Remember, the answers are always in the data.” — Jordan Cooney

---

Notable Quotes & Memorable Moments

• Moto Lanvier [00:58]:
  “Ask your leads, ask your users. It's the best thing I have at the moment.”

• Moto Lanvier [01:17]:
  “Don't over obsess about it… LLMs are very good at understanding context, topic and intent.”

• Moto Lanvier [03:05]:
  “Look into [your user data] to understand the exact terminology your users are using, your real users. Not how you as a vendor talk about it, but the words that your users are using…”

• Moto Lanvier [03:40]:
  “Always think about a topic with multiple prompts and then think about do I have different Personas? Do I have different sales funnel stages, different search intents that I care about?”

• Jordan Cooney [03:59]:
  “Remember, the answers are always in the data.”

---

Key Timestamps

• 00:58 — The best signal for AI-driven discovery: direct user attribution
• 01:17 — Why prompt selection should focus on context, not an exact match
• 03:05 — How to use real user language for prompt creation
• 03:40 — The importance of coverage: prompts, personas, and funnel stages
• 03:59 — Data as the ultimate truth in AI-driven SEO

---

Final Thoughts

This episode emphasizes a practical, data-centered approach to AI discoverability in SEO. The primary sign a company isn’t ready for AI-driven discovery is when it relies on internal language, assumptions, and narrow prompt strategies—rather than listening to actual users and aggregating broad data across different user types and intentions.

Actionable takeaway:
Focus on understanding and aggregating real user inputs, expand your prompt and topic testing, and always let data guide your next move in the world of AI-driven SEO and content strategy.

---

Transcript

[A]

The Voices of Search Podcast is a proud member of the I Hear Everything Podcast Network. Looking to launch or scale your podcast, I Hear Everything delivers podcast production, growth and monetization solutions that transform your words into profit. Ready to give your brand a voice? Then visit iheareverything.com welcome to the Voices of Search Podcast. A member of the I Hear Everything Podcast Network, ready to expedite your company's organic growth efforts. Sit back, relax and get ready for your daily dose of search engine optimization wisdom. Here's today's host of the Voices of Search Podcast, Jordan Cooney.

[B]

I'm Jordan Cooney and joining me today is Moto Lanvier, CMO and Chief Product Officer at Peak AI. What signal do you trust more than traffic when evaluating AI discoverability?

[C]

Self reported attribution? As I mentioned earlier, ask your leads, ask your users. It's the best thing I have at the moment.

[B]

Great. And you also mentioned earlier the concepts of prompt selection and being mindful of that. Tell me a little bit more about that.

[C]

Yeah, so don't over obsess about it. You don't need to know word for word what a user typed yesterday because for the next six months nobody might cite the exact same prompt word for word anyways. And LLMs are very good at understanding context, topic and intent. So just think about a topic.

[D]

Time for a one minute break to hear from our sponsor, Pre Visible. So you're looking for SEO help and you got a couple of options. You could start replying to spam from agencies that claim they can get you to rank number one on Google. You can pay an hourly rate for a consultant who will inevitably nickel and dime you with hourly charges. Or you can work with a cookie cutter agency to quickly launch a strategy less project with low success rate. None of those sound very good now do they? Well, that's where Pre Visible's integrated consulting model comes in. Pre Visible draws From a collective 40 years of SEO and digital marketing experience to unlock your organic growth opportunities. They build custom solutions that combine strategy, technical expertise, content and reporting to effectively operationalize SEO for your business. Pre Visible's four stage approach ensures that your SEO programs thrive by starting off with a strategy first approach. Then they support you in your efforts to create quality content, help you identify technical issues, and most importantly, they'll work with your cross functional teams to integrate your SEO strategies to make sure that your SEO budget actually drives results, not just your agency's bottom line. So join brands like Yelp, eBay, Canva, Atlassian Square, all who rely on the SEO consultants at pre visible. For more information, go to Previsible IO that's pre visible P R E V I S I B L E I O

[C]

and then write a couple of prompts. Use maybe an LLM to help you. Like what would somebody who cares about this write to get this answer? If you have customer support tickets, if you have transcripts from sales calls, if you have a search bar on your website, if you have a chatbot on your website, look into that to understand the exact terminology your users are using, your real users. Not how you as a vendor talk about it, but the words that your users are using and give that as an input either to an LM or to yourself. When you write prompts, never check your visibility for one prompt on one day. Always think about a topic with multiple prompts and then think about do I have different Personas? Do I have different sales funnel stages, different search intents that I care about? And then also generate prompts for these per topic. And always look at this aggregated data.

[B]

That's all for today and until next time. Remember, the answers are always in the data.

[E]

Sam.