Place your creators right
🧩 Influencer marketing has a placement problem, not a content problem, AI product discovery still runs on Google Shopping, and more!
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🧩 Influencer Marketing Has a Placement Problem, Not a Content Problem
Briefs look the same. Affiliate links get pasted everywhere. Dashboards report reach. Revenue impact stays murky.
The content isn’t the issue. It’s where in the buying journey the influence lands. Move it closer to the transaction and the economics change entirely.
1. Turn service creators into retail bridges.
Not every creator should be treated like media. Clinics, coaching programs, tight communities, these aren’t just audiences. They’re environments where trust already exists and recommendations carry weight.
The mistake is briefing them for a post. The smarter move is embedding the transaction inside the trusted interaction:
- Structured margin that makes sell-through worth optimizing for
- Limited inventory access that creates operator-level skin in the game
- Exclusive bundles tied to their specific audience context
- Reorder flows that live inside their ecosystem, not outside it
- When recommendation and purchase collapse into the same moment, conversion friction drops.
The buyer never shifts contexts. They’re already inside one.
Who you select determines whether this works. Modash filters by niche, audience quality, geography, and engagement depth, so selection is based on fit, not follower count. You can try it for free for 14 days.
More operationally demanding than a paid post. Builds repeatable throughput instead of temporary spikes.
2. Engineer experience before exposure.
Most programs lead with visibility. Post first, boost later, hope conversion follows somewhere downstream.
Exposure without experience creates shallow memory. Flip the sequence:
- Creator-led demos inside existing communities
- Small invite-only sessions with real usage, not scripted content
- Live “use it with me” formats before anything gets broadcast at scale
When someone has already seen the product used in a real setting, later ads land differently. Retail feels familiar. Retargeting resistance is lower before the campaign even starts.
Influence works best when it lives inside buying behavior. Not outside it, waiting to interrupt.
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🔎 AI Discovery Is Growing, But Google Still Powers It
AI assistants are becoming a major discovery channel. But new research shows that even when users search through AI tools, many answers and product recommendations still rely heavily on traditional search infrastructure behind the scenes.
The Breakdown:
1. AI Assistants Are Approaching Search-Scale Usage - AI tools generate about 45B monthly sessions globally, equal to roughly 56% of search engine volume, with most activity happening inside mobile apps like ChatGPT, Gemini, Perplexity, Grok, and Claude.
2. Mobile Apps Now Drive Most AI Discovery - Around 83% of AI sessions occur inside mobile apps, and ChatGPT alone accounts for 89% of global AI usage, showing how discovery behavior is shifting from web search pages to AI interfaces.
3. ChatGPT Product Carousels Mostly Come From Google Shopping - A large-scale study found 83% of ChatGPT carousel products match Google Shopping results, while Bing matched only 11%, with just 0.16% of products appearing exclusively on Bing.
4. Product Retrieval Works Differently From Normal AI Search - Shopping fan-out queries are 98.3% different from normal search fan-outs, shorter on average, and used less frequently per prompt because they retrieve structured product listings rather than contextual web pages.
For brands, the takeaway is blunt: if you are not ranking in Google Shopping, you are unlikely to appear in ChatGPT product carousels. AI discovery may look new, but much of it still runs on Google’s infrastructure and ranking signals.
🚀Quick Hits
🤖 Meta acquired Moltbook, an AI-powered social network where bot profiles interact with each other. The acqui-hire brings creators Matt Schlicht and Ben Parr into Meta's Superintelligence Labs to advance AI agent integration.
⚖️ A federal judge blocked Perplexity's Comet browser agent from accessing Amazon accounts to make purchases, siding with Amazon over unauthorized access and ordering all collected data destroyed.
💼 LinkedIn ranks as a top source for AI chatbot answers across ChatGPT, Perplexity, and Google AI Mode, second only to Reddit in one study, making it a critical platform for generative engine optimization strategies.
🤝 73% of B2B buyers trust peer recommendations when evaluating purchases, far outpacing AI chatbots at just 39%. Only 18% use chatbots for B2B research, citing accuracy and conflicting information as top concerns.
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