B2B buyers increasingly use AI to research vendors, compare solutions, and shortlist options before ever talking to sales. If AI doesn't recommend your company when prospects ask about solutions in your category, you're losing deals before they start.
The B2B AI Visibility Opportunity
B2B purchase decisions involve extensive research. Decision-makers ask AI questions like "What are the best enterprise CRM platforms?", "Which HR software is best for companies with 500+ employees?", and "How does [Competitor] compare to alternatives?"
Being recommended in these queries puts you in consideration sets. Being absent excludes you entirely—before you even know an opportunity existed.
B2B GEO advantage: B2B categories are often less competitive for AI visibility than B2C. Early investment in GEO can establish dominant positions before competitors catch on.
B2B GEO Strategies
Category Definition Content
Create authoritative content defining your category. AI systems reference definitive sources when explaining what types of solutions exist. Position your brand as the authority that explains the category.
Comparison and vs. Content
B2B buyers ask AI to compare options. Create balanced comparison content covering your solution vs. competitors. Fair, thorough comparisons are more likely to be cited than one-sided marketing.
Use Case Documentation
Document specific use cases with details: company size, industry, problem, solution, results. AI recommends solutions for specific situations—detailed use cases help match your solution to relevant queries.
Technical Credibility Signals
API documentation, security certifications, compliance information, integration guides. These establish technical credibility that AI systems factor into recommendations for enterprise solutions.
Third-Party Validation
Analyst reports (Gartner, Forrester), review platforms (G2, Capterra), awards, and certifications. Third-party validation builds the citation authority AI systems evaluate.
B2B Platform Optimization
Review Platforms
G2, Capterra, TrustRadius, and industry-specific review sites are heavily weighted in B2B AI recommendations. Optimize profiles, gather reviews, and maintain active presence on relevant platforms.
Wikipedia and Knowledge Bases
For established B2B companies, Wikipedia presence establishes entity recognition. If you meet notability criteria, work toward a Wikipedia article. Otherwise, focus on being cited as a source in relevant articles.
Industry Publications
Coverage in industry publications (trade magazines, analyst reports, business media) builds citation authority specific to your category.
Content for B2B AI Queries
Buyer's Guides
Comprehensive guides helping buyers evaluate solutions in your category. Include criteria frameworks, feature comparisons, and decision factors. These match how buyers ask AI for guidance.
ROI and Business Case Content
B2B buyers need to justify purchases. Content demonstrating ROI, business impact, and value helps AI answer questions about whether solutions are worth the investment.
Implementation and Adoption Content
How to implement, timeline, resources needed, change management. AI recommends solutions it can fully explain—including implementation realities.
B2B GEO Metrics
Track B2B-specific AI visibility through category queries ("best [category] for [company type]"), comparison queries ("[your brand] vs [competitor]"), problem-solution queries ("how to solve [problem your product addresses]"), and enterprise-specific queries (queries mentioning company size, compliance needs, integration requirements).
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