Platform
How everything fits together
GeoScript is not a collection of independent features. Every part connects: the data from one stage feeds the next, and the outcomes from the last stage inform the first. This page explains the loop.
The product loop
Every client relationship follows this sequence. The loop is continuous — each completed period feeds the next with a richer evidence base.
Market data
Businesses with AI visibility gaps surface in the Opportunity Board.
Opportunities scored
Each is scored deterministically across eight components.
Agency CRM
Prospects move through the pipeline: prospect → pitching → won → active.
Pitch Rooms
Evidence-backed proposals built from real observation data.
Client seat activated
$299/month per active client.
~1,100 prompts per client
A purpose-built prompt universe runs against live AI engines.
AI monitoring
3 engines live (ChatGPT, Claude, Perplexity); 3 in development.
Website crawl
GeoScript snapshots the client's public site on a schedule.
Content Genome
Every page is parsed into a structured, typed evidence base.
Recommendations
Deterministic rules produce specific, typed improvement proposals.
Approval-gated deployment
Agencies review and approve; Standard Script applies changes.
Verification
GeoScript independently verifies every deployment landed as intended.
Outcome measurement
Before-and-after visibility observations attribute change to deployments.
Immutable reports
Period-scoped snapshots, frozen at publication, shareable with clients.
Ask GeoScript
Natural-language Q&A grounded strictly in the client's own data.
Seven pillars
The platform is organized into seven pillars, each covering a distinct stage of the loop. Each pillar page documents what that stage does, how it connects to the stages before and after, and what it does not do.
AI Visibility
Monitor how AI engines respond to the queries that matter for your clients — capturing mentions, recommendations, and citations across a prompt universe built around each business.
How this works →Agency Growth
Find businesses with measurable AI visibility gaps, score each opportunity, track your pipeline, and deliver evidence-backed pitches — before a competitor does.
How this works →Website Intelligence
GeoScript crawls a client's public website, extracts a structured content evidence base, and builds the Content Genome that powers every recommendation.
How this works →Agent Intelligence
Understand which AI crawlers and agents are reaching a client's site, what they're doing, and why — with verified identity and declared purpose.
How this works →Optimization
Turn Content Genome findings into specific, typed recommendations — then deploy them through an approval-gated, verifiable system that leaves an immutable record.
How this works →Reporting
Immutable, period-scoped reports that capture AI visibility change, deployments made, and measured outcomes — shareable with clients and presentable under agency branding.
How this works →Data
Every observation, recommendation, and outcome lives in a structured, tenant-isolated, immutable-where-it-matters data architecture — the evidence base the entire platform reasons over.
How this works →What is live today
GeoScript is in private beta. Core capabilities — AI visibility monitoring, agency acquisition workflow, website intelligence, optimization, automated deployment, and reporting — are working with real data for agency partners.
The AI monitoring layer currently has three live engine adapters: ChatGPT, Claude, and Perplexity. Three more — Gemini, Google AI Overview, and Microsoft Copilot — are in development. Reports reflect the current three-engine evidence base; depth expands as integrations ship.
The Agent Intelligence pillar — covering Agent Traffic, Crawler Intelligence, and Advanced Edge — is in development. These capabilities depend on a CDN or origin-side integration layer that is not yet built. The platform section describes this roadmap direction clearly rather than implying it works today.