Tracking AI visibility is fraught with bias, since there's nothing like Google Search Console to provide real-world data. Essentially, every product is relying on tracking visibility across a set of prompts (with some interesting complementary analytics such as tracking AI-agent visits to your page on user's behalf).
While we didn't go through the onboarding/prompt generation process for any competitors, Gauge's onboarding process seemed so high quality that we didn't feel the need to. It has an agent that performs market research, and uses actual search terms (and their rough search volume) to generate a very diverse set of prompts that appeared, to us, to be a very good representative set.
Their team is (currently) small, and the product is evolving quickly, but don't let that be a deterrent. There were several times when we asked for bespoke features, and had them deliver on them in a 1-2 day turnaround.
Gauge
xpander.ai
Happy customer here. Been using Gauge for a few months and was able to meet our goals around AI presence. Very responsive and helpful team, and great pace of innovation around new features and capabilities. Sentiment looks great - will give it a try
Gauge
@ran_sheinberg thank you!!
Measuring how a brand is perceived by LLMs is basically a new form of sentiment intelligence — and I'd argue the financial world needs an equivalent for prediction markets. Polymarket trader behavior is leaking macro signal all the time, and most finance teams still aren't watching it. That's actually the problem we're tackling with PolyMind (https://polyminds.netlify.app/) — AI-powered alerts on large Polymarket trades as a real-time signal layer. Curious if you're seeing Gauge Sentiment used by finance or risk teams, or if it's still mostly marketing today?
If AI becomes the interface, then brand narrative inside models is the real battleground.