Citability Audit
A structured analysis of company information across the dimensions that determine whether generative systems can process and cite it.
The citability audit is the second phase of the GEO Protocol. It comes after gap mapping, where baseline QPR is measured, and before structural intervention.
Without a systematic audit, GEO work often focuses on visible but secondary issues while ignoring the constraints that most directly reduce QPR.
How to run a citability audit
A citability audit usually follows five steps.
- Select the product families — prioritize the families with the highest commercial relevance and the lowest current presence in decision answers.
- Map the public sources — identify the website pages, technical documents, directories, company profiles, and external mentions that a model can plausibly inspect.
- Score the five dimensions — evaluate parameterization, terminological consistency, public accessibility, explicit comparability, and coherent distribution.
- Calculate the index — assign a comparable score across product families so priorities emerge clearly.
- Define the intervention priorities — focus first on the dimensions that are weak across multiple families, not on isolated imperfections.
What the audit produces
The output is not a generic content review. It is an operational map of where structured citability breaks down, which sources must be fixed first, and where QPR can improve fastest.
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Test your Presence Share in 5 minutesThe full method to work on structural citability is explained in Dentro la Risposta.
Learn moreFurther reading
CRM and AI citability: why technical knowledge does not reach answers
Many manufacturing SMEs use the CRM as an implicit repository of commercial knowledge: product suitability, configurations and application cases. But the CRM is designed to manage contacts and opportunities, not to expose queryable technical criteria. The knowledge that generative systems need to build a shortlist remains isolated in notes, emails and PDFs: the result is not only an internal efficiency issue, but a direct gap in external citability.
Strong SEO, weak AI citability in industrial supplier shortlists
A manufacturing company can hold strong positions on Google while remaining weak in the AI responses that B2B buyers use to identify and compare suppliers. This is not a contradiction: SEO and structural citability operate at different stages of the decision process. The pattern is common in hydraulic components and across industrial sectors where technical information remains descriptive rather than parameterized.
Generalist vs Vertical AI: what actually changes in business operations
Your company already has the information it needs—but can’t use it when it matters. Every request becomes a process of searching, waiting, and verifying, creating hidden costs, slower responses, and lost opportunities. The issue isn’t content or tools. It’s that company information is not queryable.