Buyer intelligence, not just a directory
AutomationVendorGuide is shifting from content pages into decision infrastructure for AI automation purchasing: intake, matching, scoring, routing, vendor verification, and ongoing intelligence.
Buyer intelligence model
AutomationVendorGuide is becoming a selection engine: buyer intake plus structured vendor metadata plus implementation risk scoring.
Intent score
Industry, urgency, budget, revenue impact, and whether the buyer is evaluating vendors now.
Fit score
Workflow match, vertical specialization, integration coverage, company size, and deployment model.
Implementation complexity
Self-serve, guided setup, technical API, self-hosted, or done-for-you partner requirements.
Immediate matching criteria
- Company size and vertical fit
- Systems used: CRM, phone, forms, calendar, payments, EHR/practice tools
- Budget range and urgency
- Primary automation goal: missed calls, onboarding, follow-up, document intake, reviews, or renewals
- Implementation constraints: self-serve, guided setup, developer API, or done-for-you partner
90-day product direction
- Days 1-14: reposition homepage and central CTA around matching
- Days 15-30: deepen vendor matching funnel and lead routing
- Days 30-60: enrich pricing, integrations, setup complexity, reviews, support responsiveness, and implementation risk
- Days 60-90: launch vendor self-service, featured placements, analytics, and qualified lead monetization
Structured vendor intelligence to enrich next
- Pricing model and expected monthly range
- Native integrations and connector-based workarounds
- Setup complexity and deployment time
- Support responsiveness and implementation ownership
- Industry specialization and proof from similar buyers
- Phone support quality, AI handoff behavior, and implementation risk