Your Buyer is Asking ChatGPT, Not Google. What Does That Mean for Creator Strategy?

Even just 2 years ago, a shopper who wanted a new skincare routine or a better pair of running shoes typed a query into Google and clicked through a page of links. Today, there's a good chance they open ChatGPT, describe what they need in a few sentences, and get back a shortlist with reasons attached.

That shift is happening fast. Among US consumers who use AI to shop, 46% now start their product research in a standalone AI assistant, up from 25% in 2024. Traditional search fell from 43% to 24% as a starting point over the same period. And 77.6% of US consumers say they used AI to help with a shopping decision in the last six months.

The traffic that does reach brand sites from AI looks different too. Over the last holiday season, generative AI traffic to US retail sites grew a whopping 693% year over year, and those visitors converted 31% better than other traffic. They show up having already done their homework.

For influencer marketers, this raises a practical question. If the shortlist gets built inside an AI assistant, what goes into that shortlist, and where do creators fit? The short answer is that creators are one of the biggest inputs AI uses, and that should change how you pick, brief, and measure them.

Key takeaways

• Buyers increasingly use AI assistants to compare options and narrow a shortlist, so a lot of consideration now happens before anyone visits your site.
• AI assistants lean heavily on creator-led and community-first platforms like YouTube and Reddit when they build answers.
• Shoppers still verify AI recommendations, and creator reviews are part of how they do it.
• Creator content now has two audiences: people and the models that summarize the web for them. Brief for both.
• Expertise, specificity, and searchable formats matter more than raw follower counts.
• Add AI visibility to your creator reporting next to reach and sales.

Where do AI assistants get their answers?

When someone asks an AI assistant for the best moisturizer for dry skin or the best stroller for city living, it doesn't just pull from brand websites. It looks for sources that sound independent, specific, and experienced, then synthesizes them into a recommendation.

A lot of those sources are creators and communities. In an analysis of 30 million sources cited across ChatGPT, Gemini, Perplexity, Google AI Mode, and AI Overviews, Reddit and YouTube were the 2 most-cited domains overall, and both showed up in the top 5 for every platform tested. LinkedIn ranked third.

YouTube in particular has become easier for AI to read. Transcripts and descriptions give models text to work with, and YouTube has overtaken Reddit as the most-cited social platform in AI answers, appearing in 16% of responses compared with Reddit's 10%. In another analysis of 27 million AI responses, YouTube creator content showed up in more than a quarter of answers, and in nearly half of answers in high-intent categories like consumer electronics and financial services. Independent niche creators outranked both brand channels and celebrity influencers.

Instagram is opening up as well. Since July 2025, public posts and Reels from professional accounts can appear in Google search results by default, which puts more creator content within reach of the systems that power AI answers.

But remember, your buyer still double-checks

AI isn't the last stop. In fact, 86% of US consumers who used AI for product research verified the recommendation through another source before buying. The same study found shoppers rate friends and family, customer reviews, expert publications, Reddit, and YouTube reviewers within a narrow band of trust, with no single source pulling far ahead.

That means creator content helps shape the AI answer, and then creator content is also often where the buyer goes to confirm it. If your brand shows up credibly in both places, you're covered at the moments that matter most.

5 ways AI search should change your creator strategy

None of this means throwing out what already works. Creators still need to reach people and drive sales. But a few habits are worth adjusting now that much of the consideration phase happens inside an AI chat.

1. Pick creators for expertise, not only reach

AI assistants look for sources that sound like they know what they're talking about, such as the dermatologist who reviews sunscreens every week, the run coach who tests 20 pairs of shoes a season, or the mom of 3 who has compared every stroller in the category.

Niche creators also tend to outrank celebrities in AI answers. When you build a shortlist, add a few questions to your vetting. Does this creator go deep on the category? Do they explain why something works, not just that they like it? Do people come to their content looking for answers?

2. Brief for two audiences

Every creator now has two audiences: humans and AI models. Your brief should help with both without making the content stiff.

A few additions that go a long way:

• Say the product name out loud and in captions. Models work from transcripts and text, so a product shown on screen but never named is easy to miss.
• Answer the questions buyers actually ask. Pull real prompts from your sales team, customer service tickets, and Reddit threads, and give creators a few to address in their own words.
• Cover use cases and comparisons. "Best for sensitive skin" or "how it compares to what I used before" is the kind of language that maps to AI prompts.
• Leave room for honesty. A review that mentions a drawback reads as credible to people, and credible content is what AI tends to surface.

3. Favor formats that AI can read and that last

A 15-second Story that disappears in a day does good work for awareness, but it won't show up in an AI answer next month. Formats with text attached and a long shelf life give you more lasting value.

Long-form YouTube is the clearest example. In a recent study, AI assistants favored videos over 10 minutes. Detailed descriptions, chapters, and accurate captions all help. On Instagram, captions and on-screen text on Reels and carousels give search engines more to work with now that public professional content is indexable.

You don't need to rebuild your whole content mix. Consider adding one or two deeper, search-friendly pieces to each campaign alongside your short-form deliverables.

4. Build consistency across many voices

AI answers tend to reflect a consensus. If one creator says your product is great for sensitive skin, that's a data point. If a dozen creators across YouTube, Instagram, TikTok, and Reddit say it, that starts to look like a pattern.

This is a good argument for always-on and ambassador programs over one-off bursts. Steady coverage from a broader group of creators, all landing on a few consistent product truths, gives AI more to draw from and keeps your brand present as new content gets published.

5. Put creator content to work on your own pages too

AI assistants also read brand and retailer sites, and shoppers land there to verify what they heard. Secure usage rights up front so you can bring creator reviews, demos, and comparisons onto product pages, FAQs, and retail listings.

This gives buyers who arrive from an AI answer more proof when they get there. It also helps your owned content reflect the same language creators use, which keeps the story consistent wherever AI looks.

How to measure creator impact on AI visibility

Measurement for AI search is still in its infancy. But the value of the traffic makes it worth starting now. In fact, the average visitor from AI search is 4.4x as valuable as the average visitor from traditional organic search.

Here’s how to get started in 5 simple steps: 

1. Build a prompt list. Write 20 to 30 questions your buyers would ask an AI assistant about your category, like "best vitamin C serum under $40" or "what running shoe is good for flat feet."
2. Run it on a schedule. Check those prompts monthly in ChatGPT, Gemini, Perplexity, and Google AI Mode. Track whether your brand appears, where it ranks in the answer, and which sources get cited. 
3. Look for your creators in the citations. When an answer cites a YouTube video or Reddit thread, note whether it's from a creator you've worked with. Over time, this tells you which partners and formats carry weight with AI.
4. Track AI referral traffic. Set up a channel group in your analytics for visits from chatgpt.com, perplexity.ai, gemini.google.com, and similar sources, and watch how it trends during and after creator campaigns.
5. Ask customers. Add "an AI assistant like ChatGPT" to your post-purchase "how did you hear about us" survey. It's low-tech and surprisingly useful.

Treat these as directional signals that sit alongside reach, engagement, and sales. Like a lot of creator impact, AI influence rarely shows up cleanly in last-click reporting, which is one more reason to look beyond last-click attribution when you evaluate your program.

It also helps to get your influencer and SEO teams in the same room. They’re now working toward the same outcome, and a shared prompt list is an easy place to start.

FAQ

How is AI search changing influencer marketing?

More buyers now use AI assistants like ChatGPT to compare products and build a shortlist before they visit a brand's site. Because those assistants draw heavily on creator and community content, creators now influence buyers directly and through the AI answers buyers read.

Do influencers affect what ChatGPT recommends?

They can. AI assistants frequently cite YouTube, Reddit, and other platforms where creators publish. Detailed, specific creator content that names your product and explains who it's for gives AI more material to include your brand in its answers.

What type of creator content do AI assistants cite most?

Content with plenty of readable text and lasting value: long-form YouTube videos with captions and descriptions, in-depth reviews, comparisons, and how-to content. Niche experts tend to be cited more often than celebrity creators.

Should I change my influencer briefs for AI search?

Small changes help. Ask creators to name the product out loud and in captions, answer real buyer questions, cover use cases and comparisons, and share honest pros and cons.

How do I measure creator impact on AI visibility?

Track a set of buyer prompts across major AI assistants each month, note when your brand and your creators appear in answers and citations, monitor AI referral traffic in analytics, and add AI assistants as an option in your attribution survey.

Make your creators part of the answer

Your buyer's journey has a new first stop, and you can't buy your way onto the shortlist it produces. What you can do is make sure the people your buyers already trust are talking about your brand in ways that are specific, credible, and easy for AI to find.

That comes down to the fundamentals of a strong creator program, including the right partners, clear briefs, consistent coverage, and content you can reuse. AI search raises the stakes on all of them.

Aspire helps brands find category experts, brief and manage creators at scale, secure content rights, and measure what their programs drive across the funnel. 

Ready to make sure your brand shows up when buyers ask? Book a demo to see how Aspire can help.