Analysis of AI citation patterns in competitive categories suggests the top-ranking domains capture a disproportionate share of AI recommendations. The brands with the most review volume, the most editorial coverage, and the longest established presence are the ones AI recommends by default.
If you're a small or mid-size Shopify brand competing against well-funded incumbents, that sounds like bad news. And in the broadest head-to-head ("best [category]" queries where AI names three brands) it often is. Established brands have a compounding advantage that takes time to overcome.
But "AI visibility" isn't one game. It's several, and some of them are winnable for smaller brands right now.
Where big brands win by default
In generic, high-volume category queries, large brands dominate AI responses for the same reason they dominate Google: they have more review volume, more editorial coverage, more mentions across more authoritative sources.
Ask ChatGPT "best running shoes" and you'll get Nike, Asics, Saucony. Brands with decades of editorial coverage and millions of customer mentions in training data. A newer DTC brand with 2,000 Shopify orders and 150 Trustpilot reviews isn't going to displace them for that query.
Trying to compete head-on with legacy brands on broad category terms is the wrong battle for a small brand. It's also not where most of your customers are.
Where smaller brands can win
In specific sub-categories where they're the best answer.
AI can only recommend what's covered. If a niche exists (sustainable materials in a traditionally unsustainable category, gender-inclusive sizing in a market that ignores it, regional specificity like UK-made or Australian-owned, a specific use case that mainstream brands don't serve well) and you have meaningful coverage there, AI may be the only game in town.
For these sub-category queries, a smaller brand with 50 focused reviews and one strong buying guide placement can outperform a major brand with 50,000 reviews but no coverage in that specific niche.
In sentiment-driven trust queries.
"Is [brand] worth it?" and "Should I buy from [brand]?" queries aren't about category dominance. They're about specific brand reputation. A small brand with 100 detailed, enthusiastic customer reviews on Trustpilot can score higher on AI Trust queries than a large brand with 5,000 mixed, generic reviews.
AI reads the substance of reviews, not just the volume. Specificity matters. Reviews that describe what the product does well, for whom, and compared to what are more informative for AI than "great product, arrived quickly".
In comparison queries.
"[Your brand] vs [competitor]" queries require AI to synthesize comparison content. Larger brands rarely create honest comparison pages about smaller competitors because they don't see them as worth acknowledging. Smaller brands can create this content themselves, on their own domain, and Perplexity and Google AI Overviews will cite it.
In early-stage sub-categories.
When a product category is genuinely new (a new material, a new use case, a new format) the large brands haven't moved in yet and the editorial coverage is thin. Being first in a new category, before the incumbents dominate it, is when the AI visibility playing field is most level.
The practical edge for small brands
You can move faster. A small brand can implement a review strategy, create comparison content, and pursue editorial placement in weeks. A large brand needs approvals, legal reviews, and agency coordination. The speed advantage is real.
You can be more specific. Large brands write for everyone, which often means being specific to no one. A small brand can write comparison content that's genuinely detailed and accurate about its specific niche. AI rewards specificity because specific content is more useful to the people asking specific questions.
Your customers are more likely to leave detailed reviews. Customers of independent brands who chose you specifically over a mainstream alternative often have more to say. They made a deliberate choice and they're willing to explain it. That creates the review substance that AI values.
Your category niche is a defensible position. If you're the most prominent brand in a specific sub-category, you can maintain that position with focused effort. Broad category dominance requires enormous resources. Sub-category authority is achievable.
Where to focus if you're starting from scratch
1. Define your sub-category precisely. Not "running shoes" but "road running shoes for overpronators under $80". Not "skincare" but "fragrance-free skincare for eczema-prone skin". The more specifically you can name what you're best for, the more targeted your AI visibility strategy can be.
2. Identify three to five editorial sources that cover that specific niche. The review sites, blogs, or publications that your specific customer type reads. These are your outreach targets. One placement in the right specialist publication is worth more than ten placements in general-purpose roundups.
3. Build review presence on the platforms AI cites. Trustpilot, Google Reviews, and any niche platforms relevant to your category. 50 recent, specific reviews are more valuable than 200 generic ones from three years ago.
4. Create one honest comparison page. Pick your most prominent competitor and write a genuine "How we compare" page. Acknowledge what they do well. Be specific about where you're better. AI will cite this for comparison queries.
5. Measure what AI actually says about you. For your specific sub-category queries (the precise questions your customers would ask) run them through Perplexity, ChatGPT, and Google AI Overviews. Record what comes back. That's your baseline.
The game for small brands isn't winning the broad category. It's owning the specific niche where you're genuinely the best answer. AI is actually better at surfacing specific, credible recommendations for narrow queries than traditional search, which makes it a more level playing field than it first appears.
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Written by Stu Miller, Founder of SeenByAI and CEO & Co-founder of Smart Insights. Stu has spent 16 years helping ecommerce businesses grow their digital marketing, and built SeenByAI after experiencing the AI visibility problem first-hand running his own Shopify store.
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