Are B2B buyers finding you
when they ask AI for vendors?
B2B buyers use AI assistants to build longlist and shortlist at the start of procurement. "What are the best providers of X for companies our size?" If your positioning isn't clear enough for AI to categorise and cite you, you're not on those lists.
Check your AI visibility
Enter your URL to see how likely AI assistants are to cite or recommend your site when users ask relevant questions.
Why AI visibility matters for B2B.
AI is the new RFP research phase
Before issuing an RFP or briefing procurement, B2B buyers research vendors via AI assistants. They ask category, size-fit, and specialist questions. Companies with clear ICP targeting, case study content, and entity definitions appear on AI-generated longlists. Those without are absent.
Case study and outcome content drives B2B citations
AI assistants cite B2B vendors with specific, named outcomes — "reduced churn by 23% for a 500-person logistics company" — because this is the evidence buyers need to justify shortlisting. Generic claims ("we help companies grow") provide nothing AI can extract or attribute.
Thought leadership content compounds over time
B2B companies that publish original research, named frameworks, and expert analysis become the sources AI cites when answering category-level questions. This is the highest-leverage long-term GEO investment for B2B brands.
Common questions
Does company size affect how AI assistants treat B2B vendors?
AI assistants prefer sources with clear authority signals — case studies, named clients, awards, press mentions. A smaller B2B company with specific, well-documented case studies and a clear niche will often be cited ahead of a larger generalist that has only broad claims and no specific evidence.
How do we get cited by AI for competitive category queries?
The key is category definition and differentiation clarity. AI cites the source that best answers the buyer's specific question. If your website clearly explains who you serve best, what makes you different, and provides specific proof — you'll be cited for the queries where you're the strongest match.
Is GEO worth the investment for a B2B company with a long sales cycle?
Especially worth it. In long sales cycles, buyers research for weeks before engaging vendors. Appearing in AI-generated vendor recommendations at the start of that research window means you're in the evaluation before a single sales conversation happens. The GEO investment pays for itself in pipeline quality.
Also available for
Score shows the gap.
We close it for B2B.
Our team implements B2B-specific GEO improvements — entity rewrites, FAQ schema, structured data, and content strategy — so AI assistants start citing you within weeks.