A year ago, when Net Influencer covered how I use Amazon Creator Connections, I was mostly focused on revenue performance.
Get more creators into campaigns → Improve the offers → Generate more content → Drive more attributable Amazon sales.
That still matters.
But after spending a lot of time testing how brands show up in Alexa for Shopping, ChatGPT, Perplexity, Gemini and other AI shopping experiences, I started looking at Creator Connections differently.
The clicks are valuable. The content may be even more valuable. For the bottom line.
When someone asks an AI assistant:
“What’s the best omega-3 for women?”
“Is this product third-party tested?”
“Brand A vs Brand B, which should I buy?”
AI systems need information to answer.
That information can come from product pages, reviews, media articles, forums, videos and other publicly available sources. Amazon also says Alexa for Shopping draws on its product catalog, customer reviews, community Q&A and information from across the web.
Yes, off-amazon public sources too.
So the opportunity for brands is pretty simple:
Use creators to produce genuinely useful answers to the questions shoppers are already asking.
Not fake reviews. Not scripted recommendations. Not another 30-second UGC clip or IG story nobody will search for again.
Useful, searchable content. 🔑
That has changed how I think about Creator Connections.
1. Start with the questions, not the creators
Most influencer campaigns begin with:
“Who should we work with?”
I now start one step earlier:
“What questions do we need better answers to?”
For every product, I build what I call an AI Question Map.
ARTAN AI system collects data from
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Alexa for Shopping (Ask Alexa on PDPs)
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Amazon reports: Search Query Performance + Top Searches
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competitor listings and customer reviews
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Reddit and niche forums
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Google People Also Ask
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YouTube search suggestions
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“[Brand] vs [competitor]” searches
Then I prioritize the questions closest to an actual buying decision based on frequency of appearances and specific product relevance.
“Best omega-3 for women?” matters more commercially than “What is omega-3?”
“Product A vs Product B?” is even closer to the point where someone chooses what to buy.
Once you know the questions, creator strategy becomes much easier.
_ ARTAN AI analyzes Ask Alexa question prompts across 200+ competing Amazon listings, ranking the most common buyer questions to identify the highest-priority queries for each ASIN. _
2. Stop ranking creators mainly by follower count
This has probably been the biggest change in my own approach.
A creator with 200,000 followers can generate a lot of attention.
But if their content disappears into a social feed after a few days, its long-term value may be limited.
Meanwhile, a smaller creator might publish a detailed YouTube comparison that ranks in AI search for months. Or they might write a blog article that Google indexes and AI systems can discover.
That creator can be incredibly valuable.
So when I review Creator Connections participants now, I pay much more attention to things like:
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Do they have an active YouTube channel?
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Do their videos already appear in Google/YouTube/ChatGPT search?
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Do they have a real blog?
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Do they consistently cover the category?
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Can they publish the same piece of content on Amazon and off Amazon?
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Are they comfortable making detailed reviews and product comparisons or bundles?
These are my VIP creators.
They are the people I am most willing to send samples to and spend time briefing.
Follower count still matters. It is simply no longer the first thing I look at.
3. Give creators better research, not a script
This part is important.
The goal is not to tell creators what conclusion to reach.
That would defeat the point.
Instead, I give them the research.
If shoppers keep asking:
“Is this omega-3 third-party tested?”
I make sure the creator has the correct certification information and knows where to find it on the packaging or website.
If shoppers are asking:
“Brand A vs Brand B?”
I can suggest useful comparison criteria such as dosage, sourcing, certifications or format.
The creator can add their own criteria and reach their own verdict, of course.
That distinction matters.
The brand helps improve the quality of the inputs. The creator owns the opinion.
It makes the content more trustworthy for the audience and more useful as a source of information = more likely to be picked up by Large Language Models (LLMs).
_ As part of Andri Sadlak’s Creator Connections strategy, comparison videos can surface directly on competitor Amazon listings, giving shoppers and Amazon’s AI systems additional third-party context on product alternatives. _
4. Make the content easy to find and easy to understand
Once we know what shoppers are asking, I try to make those questions obvious inside the content.
Instead of a YouTube video called:
“My Thoughts on This Supplement”
Guide: Measuring Generative Engine Optimization…
Joanna Lambadjieva
10 months ago
AI Marketing Pulse: Key Developments from Thursday… Jon Goodey 1 year ago
AI Won’t Replace AdTech Professionals. But It Will… Returi Nagenddra 2 months ago
I would much rather see something like:
“Brand A vs Brand B: Which Omega-3 Is Better in 2026?”
Then the video can have chapters answering individual questions:
“Is Brand A third-party tested?”
“How much EPA and DHA does it contain?”
“What are the main differences?”
The same principle works for blog articles.
Clear headings. Direct answers. Specific facts. Useful comparison criteria. Structured format.
This is not about trying to “hack” an LLM.
It is simply good information architecture.
It helps a human scan the content quickly, helps search engines understand what the page is about and gives AI systems clearer information to work with.
5. Publish beyond Amazon
This is where Creator Connections becomes much more interesting to me.
If a creator makes a strong Amazon video, I do not necessarily want that asset living only on Amazon.
If they also have YouTube, I want to make it easy for them to publish it there.
If they run a blog, a written comparison will be valuable too.
One creator relationship can potentially create:
Amazon content + YouTube content + a blog article + affiliate traffic + searchable third-party evidence + increased AI Share of Voice.
The incremental effort can be surprisingly small, especially if the creator already produced the original piece.
That is why creators with YouTube channels and blogs have become the VIPs in my workflow.
6. Measure more than affiliate revenue
I still measure Creator Connections sales.
You should.
For one brand, my Creator Connections strategy added $5.1 million in attributable Amazon revenue in the first 12 months. For another, it added $2.4 million.
_ $5.1M+ in attributed Amazon revenue in 12 months: the result of Andri Sadlak’s Creator Connections Brand Ambassador strategy for Grace & Stella: 27.6% was paid out in influencer commissions. _
But now I track a second outcome too.
Is the brand appearing more often when shoppers ask AI the questions that matter?
I record important discovery, comparison and purchase-intent questions and check what Alexa for Shopping, ChatGPT, Perplexity, Gemini and other systems recommend.
Then I look at which sources they use.
Over time, you start seeing gaps.
Maybe competitors have three detailed comparison articles and you have none.
Maybe YouTube is full of videos answering a certain question about the category, but your product is rarely included.
Maybe Alexa keeps surfacing an objection that your existing creator content never addresses.
That gives your next creator campaign a job to do.
_ Using real Amazon shopper questions to shape creator titles, chapters and descriptions for better visibility in Alexa for Shopping and ChatGPT. _
Creator marketing can be a smart content infrastructure play
I would be careful about saying brands can “control” what AI recommends.
They cannot.
No creator placement guarantees a ChatGPT citation or an Alexa recommendation.
But brands have much more influence over the information environment around their products than many realize.
You can research what shoppers are asking.
You can identify where your information gaps are.
You can find creators whose content actually gets discovered.
You can give them better factual inputs.
You can encourage useful comparisons.
You can help great content reach Amazon, YouTube, blogs and other searchable surfaces.
Then you can measure whether your share of AI recommendations changes over time.
That is why I think the next evolution of Creator Connections is bigger than affiliate sales.
We at ARTAN AI can help.
_ Alexa for Shopping Share of Voice over time across high-intent category queries we track for a supplement client (dark grey, bottom), showing how often the brand is recommended versus key competitors: 1% - 9% in 30 days. _
You are not just paying creators to send traffic.
You are building a distributed library of credible answers around your brand. Everywhere.
And as more buying decisions start with a question to AI, that library becomes increasingly valuable.
If you’d like to build an Amazon Creator Connections-based brand ambassador program designed to support AI visibility, reach out to see if your brand is a fit and whether ARTAN AI currently has capacity.