This is a directional model, not a guarantee. It estimates the revenue and value at risk when your online narrative goes unmanaged, using published research relationships and deliberately conservative coefficients. Four independent mechanisms are summed:

• Lost Revenue (sentiment gap). Each star below a controlled benchmark of 4.7 is valued at 5% of revenue , the conservative floor of Harvard Business School's 5–9% finding, capped at a two-star gap.
• Lost Deal Flow (search-narrative gap). Negative page-one results deter prospects before contact: roughly 22% / 44% / 59% / 70% at one / two / three / four results. That loss is applied only to your new-business exposure and the share of buyers who research you, then halved for conservatism.
• Lost AI Visibility (authority & citation gap). AI tools and search engines surface the brands they can corroborate. Falling short on AI citations (benchmark ~20/mo), third-party mentions & backlinks (~40/mo), and content freshness (~24 refreshes/yr) produces an authority deficit. The average shortfall is applied to your researching new-business audience and scaled by a conservative 0.4 coefficient.
• Lost Market Position (pricing power). A weak reputation forces discounting and forfeits the premium buyers pay for trust (up to ~22%). Modeled here as up to an 8% margin give-up, scaled by how far your rating and search narrative sit below benchmark.

Enterprise value suppressed applies your chosen multiple to the annualized drag, recurring lost earnings, capitalized. Adjust the multiple to match your industry.