The Problem
Some people use AI assistants alongside conventional search when researching local options. Those responses can name a short list of businesses, and that list can vary from one prompt or day to the next.
LocalMention records a dated sample of whether a business appeared in a set of representative prompts. It does not measure customers, leads, or revenue. It does not report a permanent rank, and it does not prove that any later change caused an improvement.
What We Do
LocalMention runs 30 representative local-search prompts across Google, ChatGPT, and Gemini and records where your business appeared in that point-in-time sample. Each audit includes a query-by-query breakdown, frequently appearing other businesses or listings, and prioritized local-presence checks.
The report is a diagnostic, not a promise of rankings, calls, bookings, or revenue. Any proposed work is verified, scoped, and quoted before implementation.
What Drives Us
Founded By
Fillip Kosorukov is a technology entrepreneur and investor based in Indianapolis. He built LocalMention to solve a problem he kept seeing: local businesses investing in marketing without knowing whether AI platforms were recommending them at all.
With a background in behavioral psychology and published research, Fillip brings an analytical, data-driven approach to understanding how AI systems surface local business recommendations. LocalMention was built from the ground up to give owners the same visibility intelligence that enterprise brands take for granted.
When he's not building software, Fillip is an active investor and advocate for leveraging technology to solve real-world problems for people and communities.