Win the AI citationfor B2B companies.
B2B buyer journeys are 6-18 months and AI engines play multiple roles across the journey: definition (early), comparison (mid), validation (late). Optimizing for ALL three stages requires different page archetypes, all needing high E-E-A-T signals.
Buyer queries we'll test for you
- →[category] platform for [vertical]
- →[your-tool] enterprise pricing
- →[your-tool] vs [competitor] enterprise
- →is [your-tool] compliant with [regulation]
Our query expander auto-decomposes your seed query into 4 intent variants (informational / transactional / comparative) — covering buyer mental modes without you needing to brainstorm.
Pain points sites like yours hit
Sales-led copy that doesn't answer buyer questions
Compliance/security claims hidden behind login walls
Whitepapers gated as PDFs (unreadable to AI engines)
No named analyst-relations strategy — Gartner/Forrester citations are absent
Winning tactics specifically for B2B companies
Cite analyst recognition (Gartner Magic Quadrant, Forrester Wave) inline with outbound links
Publish security/compliance documentation as crawlable HTML, not PDF
Add author bios with credentials (CISO, CTO, VP) to thought-leadership content
Create a Wikidata entry — knowledge-graph membership is the #1 signal for 'real, vetted brand'
Use Service + Organization schema, not just Article
Top 5 signals to focus on
VectorCite scores 47 signals across 5 categories. For sites for B2B companies, these are the highest-leverage to ship first:
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