Reputation launches GEO Readiness Audit for multi-location AI visibility

Reputation launched its GEO Readiness Audit on June 24, giving multi-location brands a new diagnostic layer for AI search visibility as more discovery ends in a single generated answer. The audit gives marketing, customer experience and digital teams a baseline for how AI engines interpret, describe and recommend a brand, plus prioritized actions to improve visibility and discoverability.

The audit evaluates technical discoverability, content structure and trust factors across public digital properties, putting local listings, review signals and location-page consistency at the center of the measurement.

The new audit builds on tools Reputation rolled out on May 4, when it introduced Reputation IQ, AI Reputation Manager and AI Location Presence Insights for enterprise brands managing hundreds or thousands of locations. AI Reputation Manager shows how AI engines describe a brand, category or competitor, including the sources cited and the narratives surfaced over time. AI Location Profiles add location-level visibility into listing accuracy, AI mention rates and sentiment.

Princeton University and Georgia Tech researchers introduced Generative Engine Optimization as a paradigm for improving visibility in generative engine responses and proposed GEO-bench to evaluate methods. Whitespark’s 2026 Local Search Ranking Factors report, built from 47 local SEO experts, includes AI Search Visibility as a standalone category. SOCi’s 2026 Local Visibility Index analyzed nearly 350,000 locations across 2,751 multi-location brands and found that ChatGPT recommended only 1.2% of audited locations, Perplexity 7.4% and Gemini 11%, versus 35.9% visibility in Google’s local 3-pack.

Reputation plans to feature the GEO Readiness Audit in its June 25 webinar, Reputation Without Boundaries: Managing Reputation in the AI Era, at 10 a.m. EDT and 4 p.m. BST. Reputation marked its 20th anniversary in March.