The New Way to Track Rankings for AI Search (Nobody’s Talking About This)

12 May 2026 · 18 min
18:12

In this solo presentation Phil Risher explains how home‑service companies must shift from traditional keyword‑based SEO to AI‑driven search visibility. He outlines a three‑phase framework: (1) building an AI prompt list using frontline data (call transcripts, sales calls), Google Search Console long‑tail regex, and competitor comparison audits; (2) tracking three core metrics – AI Share of Voice (SOV), Mention Rate, and Generative Engine Optimization (GEO) – that together indicate how often a brand appears in AI overviews, how often it is cited as a source, and how well its content is consumable by large language models; (3) applying a diagnostic SOV‑vs‑Mention matrix to decide whether to focus on expanding share of voice (entity associations, high‑volume niche content, local citations) or improving mention rate (quantitative data, definition‑first answers, FAQ/service schema). He demonstrates how BrightLocal’s AI visibility tool aggregates these signals into a score and visualizes the matrix, and he stresses the importance of real‑world content derived from calls, videos, and podcasts to feed AI models. The talk concludes with actionable recommendations for building authority, defending market‑leader status, and a call to action for businesses to partner with his marketing firm.

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