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A visibility tool helps businesses improve how they appear in answers from ChatGPT, Claude, Perplexity, and Gemini.
150+ users · 800 product trials in two months
Uplift AI takes the familiar local-search job of being found and applies it to AI assistants that recommend businesses.
Fewer bars = easier, cheaper, or faster for an AI-assisted solo builder. Editorial judgments based on the case details.
Uplift AI is a SaaS product from Toronto technology founders Vishal Patel and Uday. They describe a search-visibility tool that uses AI for businesses: improve the chance that a company appears when people ask ChatGPT, Claude, Perplexity, or Gemini for recommendations. Patel says he regretted spending years building products for clients without creating a software product for his own company, so the team began developing and refining Uplift before starting distribution in 2026. A co-launch partner says the product reached about 15K in monthly recurring revenue, more than 150 users, and 800 people who had tried it within two months. The founders then planned to use social media to explain the new discovery behavior and sell the product. Those figures describe an early launch, not independent proof of durable retention. The case is interesting because it maps traditional search optimization onto a new interface, while its long-term value depends on measurable visibility changes and customer renewals.
For Uplift AI, start with businesses already spending time or money to be discovered online. Local service companies understand the old Google ranking problem; show them how a customer might ask an AI assistant for a nearby provider and whether their business appears in the answer.
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Data credibility: Co-builder and podcast host reports about 15,000 in monthly recurring revenue (no currency stated; the company is Toronto-based), more than 150 users, and 800 trials in two months, speaking as part of the team scaling the product. No dashboard or third-party records are shown. The account does not distinguish paid customers from all users, and the MRR figure is not broken down by plan or customer type.
A co-launch partner reported Uplift AI at about 15K MRR after two months of distribution, alongside more than 150 users and 800 product trials. That gives the product an early paid signal, but a trial is not a paying account and the user figure is not separated by plan.
The early loop begins when a business tests the product, sees how AI answers describe its category, and shares the result with a partner or another owner. Uplift’s launch partner says 800 people tried the product and more than 150 used it within two months, while distribution was beginning through social media.
The founders spent time refining the product before launch, then had to move into distribution. Patel describes preparing himself for camera work because he had not been used to speaking on video.
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