Presence
See where the company appears in AI answers, where it is missing, and where competitor narratives are shaping buyer understanding.
SilverWing 2.0
The next visibility layer belongs to brands whose public truth can be found, cited, compared, and acted on by AI answer engines, buyers, and agents.
Product Line
The AI Visibility Audit creates the starting point: a clear view of where the brand appears, which claims need stronger proof, which sources answer engines can trust, and which website updates will make the company easier to cite, compare, and recommend.
See where the company appears in AI answers, where it is missing, and where competitor narratives are shaping buyer understanding.
Keep claims, proof points, sources, and page recommendations organized so answer engines can describe the company accurately.
Organize the buyer questions, comparison prompts, category searches, and trust signals that influence how AI systems present the market.
Operating Model
AI Visibility Audit, TruthLayer, PromptMap, learning content, case studies, and market authority.
Prompts, answer behavior, citations, competitor mentions, truth claims, evidence, reports, and page actions.
Approved claims, source freshness, evidence ownership, citation readiness, and website recommendations.
Start with audits, then add monitoring, TruthLayer maintenance, prompt testing, and page-update workflows.
Product Motion
Run initial prompts, inspect answers, map citations, identify competitor pressure, and score readiness.
Turn weak claims, missing citations, and private proof into public pages and source material.
Run next prompts against the same clusters to see whether visibility and claim alignment improve.
Track answer changes, source decay, competitor movement, and new prompt opportunities over time.
Keep TruthLayer claims, evidence, source freshness, and page recommendations current.
Use the schema to support future prompt runners, alerts, drafts, and report-generation workflows.