How to Get Meta Muse to Recommend Your Product or Service
Marketing School - Digital Marketing and Online Marketing TipsShow Notes
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.
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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
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