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How to Get Meta Muse to Recommend Your Product or Service

Marketing School - Digital Marketing and Online Marketing Tips

19m
Transcript

Original podcast

Summary

Written by a model from the transcript; not yet reviewed.

This episode explores how businesses must adapt to the rise of AI search and recommendation surfaces like Meta Muse, Claude Duet, and Grokbot, often referred to as Answer Engine Optimization or AEO. The hosts argue that companies failing to optimize for these conversational agents are losing significant, untracked revenue, as demonstrated by an example of someone booking a water softener installation purely through Grokbot recommendations. While traditional platforms may eventually monetize these pathways through marketplaces and targeted ads rather than by manipulating organic results, the underlying shift toward agent-driven consumer choices is accelerating rapidly. The discussion also expands into the massive capital expenditure boom surrounding AI infrastructure, comparing current data center spending to historical infrastructure waves like railroads and electrification, and concluding that human demand for compute and digital capabilities remains insatiable.

  • Businesses need to optimize for AI agents like Grok and Claude or risk missing out on valuable untracked customer appointments and revenue. 2:42
  • AI platforms are likely to monetize organic agent recommendations by offering paid marketplace placement or advertising options. 6:49
  • Companies should move immediately to establish presence on new AI connectors and plugin ecosystems before competitors get ahead. 9:32

Chapters

  1. 0:00
    HubSpot Starter Plan Overview

    Introduces HubSpot Starter Plan’s features for consolidating customer data and automating follow‑ups.

  2. 0:34
    Meta Muse Recommendation Success

    Highlights how Meta Muse can surface a client’s product as the top recommendation in search results.

  3. 1:43
    Revenue Loss from Ignoring AI Optimization

    Discusses the financial impact of not optimizing for AI agents such as Grokbot, Claude, and ChatGPT.

  4. 5:47
    Building Relationships with AI Platforms

    Explains how to engage with AI platform teams to secure early access and partnership opportunities.

  5. 9:40
    Future of Marketing on Emerging AI Surfaces

    Explores how marketers must adapt to new AI‑driven surfaces like Grokbot, ChatGPT, and future smart devices.

  6. 15:53
    Data Center and Compute Demands for AI Growth

    Analyzes the projected increase in data center spending and compute needs as AI adoption expands.

  7. 17:49
    Closing Thoughts and Call to Action

    Wraps up the episode with a reminder to act quickly on AI marketing opportunities and a promotional plug.

Highlights

  • 2:42

    Water Softener Agent Bookingstory

    A co-founder used Grok to find and schedule a water softener installation without traditional optimization, saving money but highlighting how invisible AI-driven leads are to businesses.

  • 3:09

    Invisible AI Revenueinsight

    Companies fail to track appointments driven by AI agents like Grok, meaning they miss out on optimizing for the channels that bring them paying customers.

  • 7:40

    Pure Organic Recommendationsdebate

    AI platforms want users to trust their results as pure, so they are unlikely to sell organic ranking, instead relying on sponsored marketplace ads.

  • 16:08

    AI Infrastructure Spendingdata

    The capital expenditure boom for AI data centers is compared to historical infrastructure waves like railroads, accounting for roughly 3.6 percent of GDP through 2032.

  • 17:08

    Autonomous Account-Based Marketingstrategy

    Using AI agents to automatically scan follower profiles, identify Ideal Customer Profiles, and draft personalized cold outreach based on competitor engagement.

Quotes

  • “Meta Muse now recommending for our client's product as the best option on the market.”
    Unnamed speaker · 0:34
  • “If you don't optimize for Grok, even though it costs you money or Claude or ChatGPT, you're losing a lot of potential revenue.”
    Unnamed speaker · 4:21
  • “The moment you wait, someone else gets ahead of you.”
    Unnamed speaker · 9:38
  • HubSpot 0:04–0:33
  • Frictionless Growth Marketing 8:31–9:05
  • Single Grain 9:13–9:18

About this episode

Meta Muse is now recommending products, and in one example it picked Beehiiv over Substack for a newsletter. Eric Siu and Neil Patel break down how to get recommended by AI: keep doing AEO and SEO, and get into new AI marketplaces and plugins early. Plus how Grok helped Neil's co-founder beat a $7,600 Google quote with one under $5,000. Growth Newsletter: https://levelingup.beehiiv.com/subscribe Need marketing help? Visit: https://www.singlegrain.com/ and https://npdigital.com/Want to recruit great marketers? Find them here: https://marketingschool.io/hire Eric and Neil start with Rob Hoffman's example of Meta Muse recommending a client's product as the best option on the market, and Muse choosing Beehiiv over Substack for a newsletter. Eric says to get listed you still have to do more AEO and more SEO, and calls Muse, Grok and OpenAI the next surface for it. Neil shares how his co-founder got a $7,600 water softener quote from Google, then had Grok find more companies and chose a quote under $5,000. He says most businesses never see that revenue because they do not track it. They debate whether AI platforms will sell paid leads, and Eric says to get into new marketplaces and plugins the moment they open. They then turn to Meta's AI spending, the data center race, Karpathy's numbers on AI users, and AI capital spending as a share of GDP. Key takeaways◾To get recommended by AI, you still have to do more AEO and SEO◾Get into new AI marketplaces and plugins as soon as they open◾AI-driven leads are hard to track, so many businesses miss the revenue Chapters00:00 Meta Muse picks Beehiiv over Substack01:01 Muse, Grok and OpenAI: the next surface for AEO01:09 The revenue lost by not optimizing for AI01:46 A $7,600 Google quote vs a Grok quote under $5K03:16 The cost of not optimizing for new channels04:36 Will AI tools offer businesses more leads?06:07 Paid marketplaces inside AI platforms06:56 Will AI platforms keep results pure?08:13 Get into new marketplaces and plugins early08:58 Meta's AI spending and the stock drop10:05 Zuckerberg's all-in data center bet10:54 Will AI demand outrun data centers?11:54 AI in toilets, fridges and robots13:00 Marketing to the robot that shops for you13:17 Karpathy's numbers and why demand keeps growing14:51 AI build-out as a share of GDP15:36 Jevons paradox and autonomous ABM 𝗔𝗕𝗢𝗨𝗧 𝗧𝗛𝗘 𝗖𝗛𝗔𝗡𝗡𝗘𝗟Welcome to Marketing School, one of the top business podcasts with over 61 million downloads. Each episode delivers actionable marketing tips and strategies from two entrepreneurs who truly practice what they preach. The show is hosted by Eric Siu, founder of Leveling Up and Single Grain, and Neil Patel, co-founder of Neil Patel Digital and recognized by Forbes as a Top 10 Marketer. 🎙️ Learn More About the Hosts Eric Siu – Leveling Up: https://www.youtube.com/@LevelingUpOfficial Neil Patel: https://www.youtube.com/@neilpatel 📩 Free Resources Ubersuggest: https://www.ubersuggest.com/ Answer The Public: https://www.answerthepublic.com/ ✅ Subscribe for Daily Marketing Insights!

Transcript

0:00
19:22

4,011 words · 2 speakers

Topics

  • Answer Engine Optimization
  • Artificial Intelligence
  • AI Infrastructure
  • Digital Marketing
  • Consumer Technology

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