Brand Visibility Watch – Week of October 10, 2025 (www.aivojournal.org)

The inaugural Brand Visibility Watch finds that volatile AI assistant outputs are already reshaping competitive visibility and converting answer-level recall swings into real revenue exposure. Across Auto, Banking, Luxury and SaaS, incumbents saw steep mean recall losses inside assistant answers (e.g., BMW −29 pts → $348M RAR/month; Citibank −44 pts → $396M; Dior −23 pts → $138M; Salesforce −37 pts → $148M), while challengers gained share (Tesla +21 pts; Zara +24 pts; HubSpot +18 pts; Zoho +15 pts). Despite stable web rankings, assistants are quietly substituting brand responses in high-intent prompts, producing an aggregate estimated Revenue‑at‑Risk of $1.16B per month. Technically, RAR translates percentage‑point recall deltas into dollar exposure by applying losses to each sector’s AI‑influenced demand baseline (Auto $1.2B, Banking $0.9B, Luxury $0.6B, SaaS $0.4B monthly). The report highlights assistant retrains and ranking volatility as the drivers of this invisible substitution, meaning traditional traffic dashboards underreport business impact. The takeaway for AI/ML teams and boards: treat AI visibility as a systemic risk alongside finance and cyber, instrument assistant outputs for recall monitoring, and integrate visibility metrics into governance and revenue forecasting to prevent silent market share erosion.