How we took Vibe Retail from zero authority to #1 on Google in three months - against brands dominating the industry for over a decade
Vibe Retail
Zero authority to #1 in three months - against brands dominating the industry for over a decade
| Platform | Responses | Pages |
|---|---|---|
| AI Mode | 6+6 | 2+2 |
| Gemini | 1+1 | 1+1 |
| Perplexity | 7+7 | 1+1 |
| Grok | 24+24 | 4+4 |
| AIO (search queries) | 38+38 | 7+7 |
Every figure above is drawn from a single cluster of high-intent retail-POS searches, tracked from a near-zero baseline. The market Vibe was up against, and the cross-platform approach that broke it open, are detailed below.
Same buyers, same searches - but now Vibe is the answer they find first. Source: Vibe Retail rank-tracker, AI-response and Web Analytics data, Jan-Jun 2026.
The challenge
Vibe Retail is a New York-based SaaS company building cloud-based point-of-sale software for US retailers. It was barely showing up in the AI answers buyers increasingly rely on, and sat 83rd on Google for its main search term. This is a brutally competitive market - keywords here carry an average difficulty of 40+, and the front page is dominated by giants that have been around for over a decade: the likes of Square, Oracle and Clover, alongside high-authority publishers such as Forbes. Breaking in means out-ranking domains with hundreds of times the authority.
The approach
We ran a cross-platform AEO strategy: entity clustering around cloud POS and retail-management intent, paired with high-authority earned placements engineered to be picked up by AI systems - in one instance a listicle citation that fed into an AI Overview the same day. Within two weeks we took Vibe from 0% to 25% visibility in ChatGPT. Within three months, it moved from outside the top 100 to #1 on Google for highly competitive terms - "pos for retail stores" (1,900 searches/mo), "retail point of sale" (700) and "pos for retail" (450) - growing non-brand commercial traffic by nearly 1,000 clicks a month.
Framework tiers used
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