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Andrew Huberman is now speaking Hindi, without saying a word

How top creators are using AI voice cloning and dubbing to go global—no reshoots needed.

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In today’s newsletter

  • Andrew Huberman just dubbed himself in Hindi & Spanish—Here’s the playbook

  • Grow smarter: Reallocate ad spend, boost ROAS with affiliates

  • The $20 smoothie that made grocery shopping a status symbol

  • ChatGPT just opened a free traffic window for small e-commerce brands—Here’s how to get in early

  • Small budget, big impact: Outsmart your larger competitors

    Let's dive into it!👇

Andrew Huberman just dubbed himself in Hindi & Spanish—Here’s the playbook

Neuroscientist-podcaster Andrew Huberman (11 M+ subs) is using ElevenLabs to re-release Huberman Lab episodes in Hindi and Spanish—using his own cloned voice, tone, and cadence.

He records zero new audio. Viewers overseas still hear “Huberman,” just speaking their language.

What Huberman Did

  1. Cloned his voice in ElevenLabs.

  2. Auto-translated & dubbed full episodes.

  3. Published localized versions to test uptake and gather feedback.

The “No-Excuses” AI Playbook

Pick your starting point and copy-paste his strategy ↓

Path A — You already have videos 🎥

  1. Clone your voice (15-minute ElevenLabs setup).

  2. Select target language(s)—Spanish, Hindi, Arabic, you name it.

  3. One-click dub & export.

  4. Re-upload to YouTube/TikTok/Reels with native captions.

  5. Watch global watch-time spike, then double-down on winning regions.

Path B — No videos yet 🤖

  1. Write a 60-sec script for a reel/short.

  2. Generate an AI avatar in Heygen (headshot → talking head).

  3. Create VO in ElevenLabs.

  4. Sync audio + avatar in Heygen—done.

  5. Iterate hooks, offers, and languages without cameras, sets, or retakes.

Pro Tips

  • Feed more data: extra clips, emotions, technical jargon → smoother pronunciation.

  • Localize CTAs: price in local currency, region-specific links.

  • Batch everything: 10–15 multilingual assets in one sitting.

Grow smarter: Reallocate ad spend, boost ROAS with affiliates

Ad costs are rising. Clicks aren’t converting like they used to. And ROAS? It’s all over the place.

Here’s the thing: ad spend will always be part of your mix. But it doesn’t have to be your only lever.

Levanta’s Affiliate Shift Calculator helps you model what could happen if you reallocated a portion of your ad budget into affiliate marketing—a channel that only charges when it drives actual results.

It’s not a generic tool. Your scenario is reviewed by an affiliate expert and built around your real inputs.

You’ll get a custom forecast with projected ROAS, revenue lift, and estimated efficiency—delivered

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It’s free to try, takes just two minutes to get started, and could shift the way you grow.

The $20 smoothie that made grocery shopping a status symbol

From near-bankruptcy to Balenciaga collabs and $800K smoothie- Erewhon turned food into fashion. Here’s how they made groceries aspirational

ChatGPT just opened a free traffic window for small e-commerce brands—Here’s how to get in early

OpenAI’s new shopping-ready upgrade to ChatGPT Search gives small and midsize U S e-commerce brands an early door into AI-driven “conversational discovery.” The feature shows organic product cards (image, price, rating, review snippets and a buy-link) when a shopper asks ChatGPT for very specific items (“quiet hair dryer under $150 for a dorm room”) rather than typing keyword strings on Google. Because the results are free, non-sponsored and draw from third-party structured data, the brands that surface first will be those whose product feeds, on-site metadata and reviews are most machine-readable—and that provides a short-lived, low-cost visibility window before OpenAI inevitably layers on affiliate links or ads.

1. Immediate implications for US SMB e-commerce

A. Free, early traffic source—if your data is ready

  • ChatGPT crawls “structured metadata” (schema.org, product feeds, review snippets). Brands that already push clean feeds to Google/Bing or Shopify’s product-structured-data apps will rank fastest.

  • Because listings are organic, this is effectively free distribution—valuable for merchants without six-figure Google Ads budgets.

B. Shift from keyword SEO to question SEO

  • Shoppers ask complete questions (“Which non-toxic cookware set is easiest to clean?”). That rewards PDPs and blogs written in plain-language Q&A, not just keyword stuffing.

  • Expect a spike in long-tail, high-intent clicks resembling Pinterest or Reddit referral quality—small but conversion-heavy.

C. New review economy

  • ChatGPT surfaces sentiment from Amazon, Reddit and editorial reviews. Brands with a thin review profile may simply never appear.

D. Competitive pressure on “Google Shopping tax”

  • If ChatGPT’s shopping answers gain share, some search clicks (and ad dollars) leave Google—reducing CPC inflation over time but also fracturing attribution.

E. Future monetization risk

  • Altman’s hint at affiliate fees foreshadows a move similar to Amazon Associates; margins on low-ASP goods could tighten if OpenAI adds a 3-5 % cut.

2. Action checklist for small & midsize brands

  1. Audit product-page schema today

    • Title, description, price, availability, aggregateRating, brand, GTIN/SKU.

    • Free Shopify apps like JSON-LD for SEO push this automatically.

  2. Bulk-enrich review content

    • Encourage post-purchase reviews and syndicate to Bazaarvoice/Yotpo—these are readable by ChatGPT.

    • Mine Reddit and niche forums for UGC; respond so the brand name co-occurs with positive sentiment.

  3. Rewrite PDP intros as answers

    • Lead with a “Why this product?” paragraph that echoes likely user phrasing (“Looking for a sulfate-free shampoo that…”).

  4. Track ChatGPT referral spikes

    • Create UTM parameters on product-page canonical links so traffic coming from chat.openai.com is segmented in GA4.

  5. Prepare for paid layer

    • Keep margin cushion for a possible affiliate fee or CPC model; test now with low-risk SKUs to benchmark assisted-conversion value.

  6. Experiment with AI-native customer service

    • Use the same long-form Q&A to train on-site chatbots, ensuring consistent answers when ChatGPT users land.

3. Limits & watch-outs

  • Category coverage is narrow (fashion, beauty, home, electronics). Niche verticals may see no impact until phase-two rollout.

  • Data freshness gaps. Early testers report occasional outdated pricing and missing color variants—double-check dynamic inventory feeds.

  • No checkout inside ChatGPT. Users still jump to your site, so page-speed and mobile UX remain the conversion bottleneck.

  • Algorithm opacity. Without spend-based ranking, weightings (price, rating, recency) are unknown; monitor volatility.

4. Bottom line

For the next few quarters, ChatGPT’s shopping answers are a free, low-competition discovery lane—especially attractive to sub-$20 M-revenue U S brands that struggle to outbid giants on Google. Treat it like an early Shopify App Store: get your feed clean, reviews flowing and copy conversational before affiliate fees or pay-to-play creep in.

Small Budget, Big Impact: Outsmart Your Larger Competitors

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  • Tactical approaches that turn resource constraints into competitive advantages

  • Real-world examples of small teams creating outsized market impact

Ready to level the playing field? Download now to discover the exact frameworks these brands used to compete and win.

Have any questions that you need help with?

Ask here - look out for Friday’s issue where Ibrahim will answer them.