Soxoa builds software when a useful signal is difficult to see: whether AI recommends a local business and which companies have entered a buying window.
These are not what we sell you. The free assessment applies the same method to your operation: state the evidence, name the assumptions, and show the limits.
Tracks whether ChatGPT, Claude, Gemini, and Perplexity recommend a local business, which competitors appear instead, and which sources shape the answer.
Why it exists
Local businesses increasingly compete for a handful of recommendations inside AI answers. MentionedOn turns that otherwise invisible channel into something a business can observe and improve.
Published evidence
Latest published snapshot, , covers 25,220 AI answers from 1,261 leaderboards across 21 trades and 40 U.S. cities.
Matches public market events to what a seller offers, then returns a source-cited reason to act now and a grounded opening line.
Why it exists
Generic intent feeds leave teams to decide whether an event matters. Intakra starts with the seller's market and turns relevant events into an explainable, cited reason for outreach.
Published evidence
Latest published snapshot, , contains 1,253 signals across 806 watched companies; 459 companies surfaced a signal, and 129 of those showed at least two signal types.
Each product publishes a methodology or dataset so readers can inspect the sample, definitions, and limits behind the headline. The same principle guides Soxoa client work: define what success means, instrument it, and show the result.
That is the transfer. What these products prove is not that we can ship software; it is that when we say a system works, there is a dataset, a definition and a stated limit behind it — which is exactly what a build scoped against a written success gate has to produce.
Share your company, website, and email. We research your operations, show the sources and assumptions, and send a private assessment link when it is ready — no call required to read it.