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The enterprise GEO readiness framework

A structured model for assessing and improving how enterprise brands are represented and cited across generative AI engines.

AUTHORS: J. BERNSTEIN, T. TRUFFI18 PAGESV1.2
ABSTRACTGenerative engines now mediate a growing share of B2B research, yet most enterprises have no systematic way to measure or influence how they are represented. This paper proposes a four-dimension readiness framework, accessibility, structure, authority, and coverage, and reports benchmark data from 60 enterprise sites assessed against it.

Executive summary

71%
of enterprise sites block at least one major AI crawler without realizing it
3.2x
higher citation rate for sites in the top authority quartile
18%
median share of buyer prompts where the brand was cited at all
4
independent dimensions explain most of the variance

The four-dimension framework

Readiness is not a single score. We assess four independent dimensions, each measurable and each improvable on its own timeline. A brand can be highly accessible yet score poorly on authority, which explains why some technically clean sites are still rarely cited.

78
AccessibilityCan crawlers reach and parse the content.
64
StructureIs the content extractable and self-contained.
41
AuthorityCorroboration from trusted third parties.
37
CoverageBreadth across the prompts buyers actually run.

The gap between accessibility and authority is the clearest pattern in the dataset. Enterprises invest in technical SEO but rarely in the corroborating third-party signals that engines weight most heavily when choosing a source.

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JB
Josh BernsteinMANAGING PARTNER, SOMETHING INC.

Josh leads work at the intersection of SEO and generative engines at Something Inc., helping B2B brands get ranked and cited across every major AI engine.

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