AI Visibility Case Studies
Each case states the sector, the platform, the period it covers, and public evidence URLs you can open and check yourself. It describes what was rebuilt and what was measured, and keeps the two apart: a site that improves after a rebuild has not thereby proven the rebuild caused the improvement.
This list is short on purpose. A case is published only when the proof can be made public and the result can be stated without an invented growth number — which rules out most of the work we do under agreement. What is here is the part we can show.
IndexDock: a product platform for AI visibility control
Build a product system that lets buyers enter through AI Discovery Screening, understand the visibility gap, and move toward structured delivery.
IndexDock is building a product platform for AI visibility work: a public marketing layer, AI Discovery Screening, analysis tools, reporting, API integrations, and a foundation for visibility control and position protection. The public screening gives users a fast first signal, while the wider system supports deeper analysis, competitor gap discovery, content and site management, and structured delivery.
Ventall: from legacy HVAC website to commercial demand system
Turn a legacy HVAC website into a commercial digital system that explains the offer, qualifies requests, captures pricing intent, and stays measurable after launch.
IndexDock rebuilt Ventall from 0% schema coverage and 10% Share of Answer to a structured demand system with pricing qualification, request routing, and measurement layer.