Stage 00 · GatherGather & clinical intake
Verified facts and expert knowledge captured directly from your facility to feed AI models.
We collect your brand guidelines, clinical modalities, compliance rules, and staff credentials into a centralized resource center, and we conduct direct interviews with your clinical team to extract firsthand expertise, so we never feed AI platforms generic or unverified information.
Stage 01 · PromptsConversational prompt research
The exact multi-turn prompts and detailed questions your audience asks AI assistants.
We analyze real user behavior across platforms like ChatGPT, Gemini, Perplexity, and Claude, mapping the specific comparisons, clinical inquiries, and decision-making triggers families use during a behavioral health crisis into a targeted intelligence baseline.
Stage 02 · MappingAI entity & keyword mapping
Conversational targets mapped and explicit entity relationships structured for generative search.
We align conversational prompt targets with dedicated pages across your digital footprint and establish structured entity relationships, schema markup, and clear clinical topic silos, so AI models accurately recognize your brand name, locations, and specialized care programs.
Stage 03 · StrategyQuarterly GEO strategy
An actionable 90-day execution roadmap prioritized for AI search discovery.
We build a rolling quarterly plan that prioritizes high-intent prompt categories and core clinical offerings. The roadmap outlines the exact structured content blocks, technical schema updates, and authority assets needed to expand your AI engine footprint.
Stage 04 · ExpertiseClinical expertise extraction
Human clinical quotes and insights that establish verifiable source authority.
AI engines actively filter out recycled web summaries. We interview your clinical leadership to document real staff profiles, credentials, and nuanced treatment insights, so content is published directly under named experts and becomes a verified source AI models trust and cite.
Stage 05 · ContentStructured content engineering
Content drafted and formatted specifically for AI database retrieval and quoting.
We write authoritative pages and articles using specialized answer-engine formats, complete with direct fact blocks and question-based headers. Every piece undergoes rigorous expert review and requires your explicit approval before publishing.
Stage 06 · SyndicationSyndication & channel distribution
Structured clinical assets distributed across all secondary digital touchpoints.
Once approved, we syndicate finished content across your local profiles, directory listings, and brand channels. This reinforces entity signals across the web, making it easier for live AI web-retrieval crawlers to verify your facility’s authority.
Stage 07 · ComparisonConsideration & comparative FAQ building
Complex mid-funnel comparisons and deep user research prompts answered.
We build comparative resources and clinical FAQs that address nuanced questions about levels of care, accreditation, and treatment philosophies. These assets feed AI engines the exact structured information needed to recommend your facility during complex user research.
Stage 08 · ConversionAI intake conversion optimization
A frictionless intake experience for visitors driven by AI recommendations.
We optimize call CTAs, secure inquiry forms, and insurance verification pathways specifically for users arriving from AI platforms, removing friction so AI-referred traffic turns into immediate phone inquiries and booked intakes.
Stage 09 · AnalysisClosed-loop AI revenue analysis
AI discovery tracked back to baseline metrics, cost per admit, and actual census growth.
We measure performance against initial baselines, integrating deeply with operational systems such as KIPU, Salesforce, HubSpot, CallRail, or CallTrackingMetrics, and track the full journey from AI prompt discovery to signed intake, with total financial clarity on your investment.