A small direct-to-consumer pet brand is now cited across all four major AI engines, ChatGPT, Perplexity, Gemini, and Google, and appears in as many as one in four AI answers in its lead grooming category. It reached this from a standing start, against brands many times its size. This is a case study of our AI search visibility playbook applied to that brand, with the real numbers.
ShowUpWithAI is a done-for-you AI search visibility agency. To protect the brand's competitive position, we keep its name and specific products private, but the performance data below is real and current as of June 2026.
What was the challenge?
The brand was invisible in AI search and competing against giants. When pet owners ask ChatGPT, which now serves about 900 million weekly users, which grooming or supplement product to buy, the answer named large, established brands. A newer brand with a handful of products had no presence in those responses, and product pages alone do not earn citations. AI assistants pull recommendations from content they can read, trust, and extract, not from a storefront.
The category is crowded. Across the brand's tracked questions, competitors are mentioned more than 1,500 times in a single 30-day window. The task was to make a small brand legible and citable to AI engines that were already recommending everyone else.
What did we do?
We ran a content-first GEO program built around narrow, breed-specific questions rather than generic pet queries. The core insight: a niche brand wins citations on the qualified query long before it can win the broad one, because the competition on the qualified query is thinner and the content can be more exact and more complete.
The work spanned five areas, all included in the retainer:
- Qualified content. Articles targeting the exact questions buyers ask AI, each written the way models retrieve: a direct answer up top, structured sections, FAQs, and schema.
- One query per article. Every target question mapped to a single article to avoid cannibalization, so each page owns its query cleanly.
- Comparison and buying-guide formats. Listicles and best-of guides, the formats AI cites most for product recommendations.
- Content and product interlinking. Connecting guides to the right product pages so a citation can convert.
- Compliance and trust signals. Accurate, compliant claims and consistent brand information, because AI engines deprioritize sources they cannot trust.
For the mechanics behind this, see our guide on how to optimize for AI search and GEO for e-commerce.
What were the results?
The brand reached 10.6% share of AI voice in its category and ranks third of six tracked brands, ahead of established names many times its size. Its strongest category now appears in about one in five AI answers, led by a single guide cited in 138 AI responses. The picture by category, as of June 2026:
| Product category | Where the brand shows up in AI answers | Lead signal |
|---|---|---|
| Lead grooming category | About 19 to 23% of answers | One buying guide cited in 138 AI responses at a 99.3% citation rate |
| Second grooming category | 3 to 9% of answers | Emerging across sensitive-skin and first-time-owner queries |
| Newest supplement line | Building | Ingredient guide cited at 100%, category visibility still ramping |
| Overall | 10.6% share of AI voice, third of six brands | Cited across ChatGPT, Perplexity, Gemini, and Google |
The lead guide is the clearest proof. It is cited across all four major AI engines, the kind of cross-engine presence that signals genuine authority rather than a single-platform fluke. AI Overviews now appear on roughly half of US searches, so a citation that holds across Google's AI surfaces and the chat assistants reaches buyers in both places.
Why did the content-first approach work?
Citations followed the content that answered a specific question better than anyone else. Reddit and editorial content are among the most-cited sources in AI answers, but a brand's own well-structured guide can earn the citation when it is the most complete, most extractable answer to a narrow query. This brand's lead guide is exactly that, and the engines reward it.
The niche-query strategy compounds. Winning a narrow grooming query builds the topical authority that makes the next query, and the next product, easier to win. That is why the lead category is strong while the newest product is still climbing.
What is still in progress?
The newest product line is still near zero visibility, and the second category sits in the single digits. This is expected. The newer content has had less time to be indexed and trusted, those categories are dominated by large brands, and topical authority takes time to build. We track every category in real time and publish against the gaps, the same way we did for the lead category. AI visibility is a compounding asset, not an overnight switch, and the honest read is that this brand has won one category, is emerging in a second, and is early in a third.
This is what the ShowUpWithAI method does for a small brand in a crowded market: it makes you the answer for the questions your buyers actually ask AI. If you want the same for your brand, book a free AI visibility audit.