AI Visibility for Cloud, Data & AI Providers
In infrastructure categories, AI assistants answer technical questions with technical sources. Providers win visibility by having documentation, benchmarks, and independent technical corroboration that models can quote confidently — not by having the best marketing site.
The challenge
Technical buyers ask precise questions, and models answer them from documentation, engineering blogs, and community discussion. Providers whose real technical depth lives behind gated content or in sales conversations are invisible at exactly the moment a shortlist forms. Generic mentions — being listed as an option without a reason — are the common failure mode here.
What showing up in AI looks like here
Being cited by name with a specific technical reason: a performance characteristic, a compliance posture, an architecture fit. That means your own domain becomes a cited source, which is the strongest possible position because the model is repeating your framing rather than a competitor's summary of it.
What we focus on
Documentation and technical content engineered for citation, published benchmarks and specifics rather than adjectives, schema and entity work across products and services, and an authority program aimed at the technical domains models already trust in your category.
Other industries we serve
Mid-Sized Enterprises
Established brands that lost the SEO race once and don’t plan to lose AI discovery the same way.
Technology Services Firms
Services orgs whose buyers increasingly ask AI assistants to shortlist partners.
SaaS Companies
Category-defining and category-following software brands competing in AI comparison answers.
Your category is already being answered. Let’s see how.
Start with a GEO Audit scoped to your industry, prompts, and competitive set.