Sample Size
57 Implementations
AIEthos Case Study
By AIEthos LLC Research · May 12, 2026
I Audited 57 Enterprise AI Implementations and 72% Are Below GEO Readiness Threshold
AIEthos LLC benchmarked public-facing AI implementations across Auto, Finance, Retail, Healthcare, and Technology — using linked subscription, audit, and remediation evidence to quantify real citation exposure.
Sectors
Auto, Finance, Retail, Healthcare, Technology
Below GEO Threshold
72%
High/Critical Remediation
62%
The Data
We ran AIEthos LLC audits on public-facing enterprise AI experiences across five industry sectors, then connected each implementation across subscription account context, completed audit outcomes, and remediation execution status. This creates a traceable evidence chain from GEO visibility diagnosis to operational fix burden across 57 implementations.
Method Snapshot
- - Inclusion set: public-facing implementations across Auto, Finance, Retail, Healthcare, and Technology.
- - Evidence model: each implementation is linked to its latest completed AIEthos LLC audit and its active remediation backlog, creating a traceable chain from observed GEO signal to required fixes.
- - Readiness benchmark: scores below 70 classified as below GEO threshold.
- - Current snapshot: 57 audited implementations, 441 remediation items, 275 high or critical severity.
Data Note — This report is based on first-party AIEthos LLC audit data collected directly from live, public-facing enterprise AI implementations — not survey responses or self-reported figures. The 57-implementation cohort was assembled through AIEthos LLC's subscription audit pipeline and reflects completed automated assessments scored against a consistent GEO readiness rubric. The sample is not statistically random; implementations were selected to represent a cross-section of large-brand deployments across five sectors. Findings reflect conditions at the time of each audit and may not represent current implementation state.
The Findings
Nearly 3 in 4 Implementations Miss Baseline Readiness
41 of 57 implementations scored below 70 (72%).
Across every sector in the cohort, GEO readiness falls systematically below benchmark. This is not an outlier problem — it is an industry-wide structural gap in how enterprise AI experiences are built and maintained.
Zero Remediation Work Has Been Completed
441 of 441 remediation items remain open (100%).
Every identified remediation action across the 57-implementation cohort is still in planned or in-progress status. Enterprise AI teams are diagnosing gaps but have not yet operationalized the fixes.
Most Risk Is Concentrated in High-Severity Gaps
275 of 441 remediation items are high or critical severity (62%).
The majority of open work is not polish — it is structural. Citation reliability, schema authority, and entity disambiguation failures represent the bulk of unresolved exposure across all sectors.
Sector Breakdown
| Sector | Audited | Avg Readiness | Below Threshold | Open Remediation |
|---|---|---|---|---|
| Auto | 6 | 53.2 | 100% | 100% |
| Finance | 4 | 64.0 | 100% | 100% |
| Retail | 13 | 59.0 | 77% | 100% |
| Healthcare | 4 | 60.0 | 100% | 100% |
| Technology | 9 | 68.2 | 33% | 100% |
The Lesson
Across sectors, GEO weakness is not a cosmetic issue. Most implementations fall below readiness threshold while carrying unresolved, high-severity remediation work. Teams that operationalize GEO as an ongoing remediation cadence, rather than a one-time launch checklist, are positioned to gain durable citation share in AI-generated answers.
See Your GEO Risk Profile Before Launch
Run an AIEthos LLC audit to identify readiness gaps, prioritize high-severity remediation, and benchmark your progress against a multi-sector enterprise dataset.