Vercatus

Partial The dashboard, prompt tracking, and recommendation UI are buildable, but reliably measuring brand mentions and citations across ten AI engines (including Google AI Overviews) requires large-scale querying infrastructure and data collection that is hard to keep accurate.

What it would actually take: Build a scheduled pipeline that runs customer prompt sets against each engine's API or SERP data, parses answers and citations, and stores results in a time-series database for trend charts. The hard parts are obtaining reliable AI Overview and consumer-chat results (which often lack official APIs), handling variance and sampling so the metrics are statistically meaningful, and generating useful recommendations. That requires data engineering, scraping at scale, and measurement methodology expertise.