AI Visibility for B2B Technology Companies
In vertical software, devtools, security, and MarTech, buyers use AI assistants to compress research. GEO tunes the entity, content, and authority signals that decide whether your product is named at the recommendation stage in your specific category.
The challenge
Category language is unstable in emerging technology segments. Buyers describe the problem in several competing vocabularies, and models cluster vendors accordingly. Brands that anchor to their internal category name — rather than the language buyers actually use — end up outside the cluster the model answers from.
What showing up in AI looks like here
Being consistently mapped to the right problem cluster and named with an accurate one-line reason. For devtools and security in particular, that often means your documentation and engineering content becoming the cited source rather than a third-party roundup.
What we focus on
Prompt-cluster mapping in your buyers' language, entity and schema work across products, technical content built for citation, and an authority program aimed at the community and analyst sources models trust in your niche.
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.