AI Peekaboo vs. Replenit
A side-by-side comparison based on G2 review data.
| Metric | AI Peekaboo | Replenit |
|---|---|---|
| Overall rating | 4.8 | 4.8 |
| Review count | 10 | 44 |
| Ease of use | 8.9 | 9.7 |
| Ease of setup | 9.1 | 9.5 |
| Quality of support | 10.0 | 10.0 |
| Meets requirements | 9.5 | 9.6 |
| NPS | 90 | 93.181818 |
| Small Business | 88.9% | 47.6% |
| Mid-Market | 11.1% | 35.7% |
| Enterprise | 0.0% | 16.7% |
| Total page views | 265 | 515 |
| Total LLM citations | 225 | 1,032 |
AI Peekaboo
AI Peekaboo shows you how your brand appears in AI search, across ChatGPT, Gemini, Claude, Perplexity, and Google AI Overviews. As buyers move from blue links to AI answers, Peekaboo tells you whether those models recommend you, your competitors, or no one at all. It goes beyond a yes or no. Peekaboo gives you a clear AI Visibility Score, tracks how that score moves over time, and shows the why behind it by surfacing the exact sources and pages the models cite when they answer.
Replenit
Start with the problem. Every retailer runs the same model. They segment customers into groups, build campaigns on a calendar, and send to lists. It was always a workaround. No team and no tool could reason about each customer individually, so retailers averaged. The cost is everywhere: generic timing, missed reorders, blunt promotions, churn caught too late. Their stack does not fix it. The CDP stores data and stops. The CEP sends what it is told. BI reports the past. None of them decide what to do for each customer, so the decision falls back on a human team already at capacity.
- Ease of Use
- Customer Support
- Automation
- Features
- Time-Saving
- Helpful