Walmart · Microsoft
22% — global ecommerce growth
Independently reportedRetail & e-commerce · Search & retrieval · LLM · In production · 2024
Search & retrieval
Little Bansi · YARD AI Agency
Vendor-reportedRetail & e-commerceIndiaIn productionSmall businessLLMLive 2025
Vendor-reported. The customer is named and the numbers are quoted from the source page, but the account comes from the vendor. No independent confirmation.
Reported by yardagency.ai (vendor self-report). Checked against the source page on 2026-09-06. 2 of 2 figures below appear on that page word for word.
The problem
Little Bansi was invisible on AI search engines (ChatGPT, Perplexity, Claude, Gemini, Bing), experienced ROI collapse at scale with Meta ads, and had a product catalog built for warehouses, not buyers.
What was deployed
- Vendor
- YARD AI Agency
- Products
- ChatGPT, Perplexity, Claude, Gemini, Bing
- Technique
- LLM
- Build or buy
- Bought off the shelf
- Deployment
- Custom build
- Data used
- Product taxonomy, search demand, buyer intent, questions parents actually ask LLMs
- Scale
- category-leading visibility on every major LLM
- Timeline
- 6 months
What changed
Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.
3.5xRevenuefrom pre-engagement
“Revenue | 3.5x vs pre-engagement baseline”
Quoted word for word from the source
Customer Acquisition Cost (CAC)
“cutting CAC by 44%”
Quoted word for word from the source
category-leading visibilityAI search visibilityfrom zero AI-search presenceunder six months
“from zero AI-search presence to category-leading visibility on every major LLM”
Quoted word for word from the source
named in answers across all fiveLLM citationBy month 5
“By month 5, Little Bansi was being named in answers across all five — for both branded and unbranded category queries.”
Quoted word for word from the source
ROI as stated: Performance marketing is a tap you have to keep paying to keep open. LLM presence behaves more like organic SEO did in 2015 — it took work to build, and once built it kept paying back without per-click cost.
“The first version of our content pillar would have made a great Google SEO play. It was the second version — narrative, parent-voiced, single-answer-led — that actually got cited inside ChatGPT.”
Difficulties and limits
- ROI collapse at scale: Meta ad spend growth stalled, blended CAC ballooned and ROAS halved once the ad-only growth model was outgrown
- Product taxonomy was binary (boys/girls) and mirrored the warehouse, not how parents actually search (occasion, age band, silhouette) — search demand existed but the site couldn't catch it
- Invisible on AI search: ChatGPT, Perplexity, Claude, and Gemini were an increasingly large first stop for intent queries, and Little Bansi did not appear in a single answer
- First content batch over-indexed on listicle-style articles (e.g. "10 best kidswear brands for Diwali"); ranked well on Google but performed weakly inside LLM answers, which favored narrative single-recommendation articles instead
Sources
- yardagency.ai — vendor self-report, 2026-02-18
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