The most persuasive sales pitch for a product is rarely the one written by the company. It is the photo from a stranger’s Instagram, the five-star review on a niche forum, the unboxing video on TikTok. The problem for an online store is that this social proof is scattered across the internet. Feelter, a company based in Bucharest, is building a search engine to capture and concentrate it.
The company’s embeddable AI tool aggregates user-generated content from social media, curates it, and displays it directly on product pages [ZoomInfo]. The idea is to turn the ambient chatter of the web into a direct sales asset, aiming to reduce bounce rates and build trust for brands in sectors like tourism, health, beauty, and electronics [ZoomInfo].
A search engine for social sentiment
Feelter’s product is a front-end widget meant for the shopper. The company describes it as an embeddable search engine that sources and curates social sentiment, pulling in reviews, images, and videos to create a live feed of organic content around a product [Feelter blog]. For an eCommerce site, the value proposition is straightforward: more authentic content on the page should lead to higher engagement and, ultimately, more sales. The company lists a generic integration with eCommerce platform Quick Sell, suggesting a focus on simpler, embeddable solutions [Feelter].
A long road from 2016
Feelter’s origins appear to trace back to Israel, with a $2 million seed round raised in late 2016 [Forbes, Nov 2016]. The company is now registered in Romania as Feelter Srl, with an address in Bucharest [Northdata]. Leadership details are inconsistent across sources, with Smadar Landau listed as founder and chairman, while Arik Ben-Yair appears in some records as CEO and in others as COO [Crunchbase] [Topio Networks].
| Role | Name |
|---|---|
| Founder / Chairman | Smadar Landau |
| CEO / COO | Arik Ben-Yair |
| VP of R&D | Saar Székely |
The unit economics of trust
For a tool like this to justify its cost, the lift in conversion needs to be clear and measurable. While Feelter does not disclose pricing or customer case studies, the back-of-envelope math is instructive. If a site converting at 2% sees a 10% relative increase from adding social proof, that’s a 0.2 percentage point absolute gain. For a site with 50,000 monthly visitors and an average order value of $100, that’s an extra $10,000 in monthly revenue. The tool’s price needs to sit comfortably below that incremental gain to make sense.
The incumbent to beat
Feelter’s most direct competition is the inertia of the status quo and the built-in tools from platform giants. Shopify’s app ecosystem is saturated with review and UGC aggregation apps, many of which are cheap or free. Feelter must convince merchants that its AI-driven curation and presentation are meaningfully better than slapping on a basic review widget. Its path likely involves demonstrating superior lift through case studies and forging more partnerships like the one with Quick Sell. Without recent funding news or public customer wins, the company’s current challenge is to show that its 2016-vintage idea has found its product-market fit in the age of TikTok and AI.