Product · AI Visibility Engine
BrandSight BrandSight
AI visibility execution engine
Ruihong Zhijian (BrandSight) is an AI visibility engine. It runs a fixed set of prompts on a schedule, records where and how your brand is mentioned or cited across mainstream AI assistants, diagnoses citation gaps, produces structured content to close them, then re-runs the same prompts to verify the change.
Three problems it solves
- Absent from AI answers
- Buyer research increasingly happens inside AI assistants, whose answers rarely show a full candidate list. Being unmentioned means losing the deal before it starts.
- No idea what AI actually cites
- Even when the brand appears, it is hard to know which pages are being cited, so website changes become guesswork.
- Content without attribution
- After publishing, there is no way to tell whether it changed any AI answer, nor to connect it to traffic or leads.
Core capabilities
Deployment and delivery
- Runs on top of TokenGovern, so every execution lands in the same token ledger and audit trail
- Prompt sets and re-run cadence are configurable; outputs include citation share and source-structure comparisons
- Drafts require human review before publishing, keeping auto-generated content under control
Frequently asked questions
- What is AI visibility?
- The degree to which your brand is mentioned, cited and recommended inside AI assistant answers. Unlike classic rankings, AI answers rarely present a full result list, so an un-cited brand is effectively invisible to the user.
- How do you tell whether AI mentions the brand?
- By running a fixed set of prompts that mirror real purchase decisions across mainstream assistants on a schedule, then logging where the brand appears, whether it is cited, which sources were used, and comparing that against competitors on the same prompts.
- Who writes the content?
- The system drafts structured pieces against the diagnosed citation gaps and applies your brand voice. Your team reviews and approves everything before it goes live.
- How is impact measured?
- The same prompt batch is re-run and citation share compared over time, with AI citations, website visits and lead movement tied together rather than reported as a single vanity metric.
Want to discuss your own scenario?
We can walk through a demo based on how your team calls models or runs its business processes today.