GeoScript.ai
The operating system for AI visibility
GeoScript measures how businesses appear across AI engines, identifies where they're being overlooked, and gives agencies the tools to turn those opportunities into paying clients. After the client closes, the same platform monitors, improves, and proves the result.
Every activated client becomes another paid GeoScript Workspace — and another source of measurement and intervention data.
Monitoring AI answers is becoming a feature. The harder problem is closing the loop between observation, intervention, and outcome — around the whole business.
The investment thesis
Six ideas. Everything on this page — and in the deck and data room — hangs off these.
Businesses increasingly need to know whether AI systems recommend them, what information those systems use, and which changes improve their visibility. ChatGPT handles billions of prompts daily; Google AI Overviews reach 1.5B+ monthly users; 80% of AI assistant citations don't rank in Google for the same query (Ahrefs, 2025).
Profound, Peec, Otterly, Ahrefs, Semrush — monitoring AI answers is well-served and getting cheaper. That's fine: it validates the category. Watching the problem will not be the moat, for anyone.
Discover → Measure → Understand → Change → Verify → Learn. From finding the business opportunity, to winning the client, to controlled site intervention, to measured outcome — one system.
GeoScript helps agencies acquire the client, close the client, fulfill the work white-label, prove the result, and retain the account. One agency = many recurring paid client Workspaces.
Not the biggest pile of AI answers — the connection between what AI said, what was on the site, what changed, what machines consumed, and what happened afterward. Multiplied across thousands of businesses, industries, cities, and engines.
Existing agencies first. Longer term, GeoScript can create supply — letting new operators launch AI-visibility services on our infrastructure — not just recruit it.
What GeoScript actually does
Identify businesses that are weak or absent across commercially relevant AI queries — market-wide, not one prospect at a time.
Give agencies competitor gaps, citations, screenshots, and site findings they can actually sell from. Evidence, not cold pitching.
Measure the client, understand the site, recommend and deploy controlled changes, and automate recurring fulfillment — all under the agency's brand.
Track what changed after each intervention and give the agency evidence for reporting, retention, and expansion.
The closed-loop product
Status labels are explicit — what exists versus what is planned should never be ambiguous.
Find businesses with meaningful, measurable AI-visibility opportunity across markets.
Run relevant AI queries across engines, intent, and geography — per client, continuously.
Map answers, citations, and competitors to the actual business, site, entities, and pages.
Deploy controlled, versioned optimizations through the site/CMS/edge integration.
Know exactly what was deployed — and observe what machines subsequently consumed, where technically available (server/CDN/log integrations).
Measure what happened next. Accumulate intervention/outcome evidence across clients.
Wedge, not ceiling: we start with local and multi-location businesses because geography × industry × intent creates millions of measurable markets where recommendation gaps have immediate commercial value. The underlying system extends beyond local businesses as the dataset and product expand.
The agency operating system
The customer-acquisition workflow and the fulfillment workflow live in the same system. That's the strategic point — and the source of a second dataset competitors focused on monitoring can't easily get.
What AI engines answered, what the site contained, what changed, what machines consumed where observable, and what happened afterward — per client, per intervention, over time.
How AI-visibility opportunities convert into commercial demand and then into client outcomes — which gaps sell, in which markets, at what price. Nobody focused purely on monitoring collects this.
The Opportunity Engine
PlannedGeoScript doesn't just help agencies service clients. It helps them find and win them.
Peec's Pitch Projects confirm that agency pitch workflows are valuable. GeoScript goes further: it discovers which businesses are worth pursuing and routes those opportunities into the agency's commercial workflow — with the evidence attached.
What AI engines recommend instead, which competitors are winning, where citations come from, and what the business is missing — a sales asset generated from real measurement, not a generic promise.
The proprietary evidence graph
The moat isn't how many prompts we run. It's knowing what happened between them.
*Authoritative crawler telemetry via server/CDN/hosting log integrations where technically available — many AI crawlers don't execute JavaScript, so browser scripts cannot be the telemetry source. The site integration layer handles deployment, controlled intervention, and page/version lineage.
Each paid client generates thousands of measurements at onboarding plus recurring monitoring. The dataset is a byproduct of normal paying usage — not an upfront purchase.
Thousands of businesses × industries × locations × engines × intervention types. The system learns which changes repeatedly correspond with better outcomes, under which conditions.
A competitor can spend $10M more on API queries. They can't buy the record of what was on the site, what changed, and what happened afterward across a paying client base.
What becomes possible as the evidence graph compounds
Language is deliberate: we claim intervention/outcome evidence and observed movement — and causality only where controlled evidence supports it.
The GeoScript loop
Traction
Pre-product, not pre-demand. Reservations are commitments of interest — not paying customers — and are labeled as such.
Ranked a vehicle-wrap business #1 organically — in both Google and AI search — using the methodology GeoScript productizes. The ranking still holds.
The full system — entity resolution, measurement, site intelligence, deployment, automation, client success, security, privacy — is designed end to end. The raise funds the first useful vertical slice and the distribution to sell it.
Competitive landscape — September 2026
An honest read. The category is well-funded and moving from monitoring toward action — which validates the direction. Our differentiation is the combined system and the agency economic loop, not any single feature.
The best-funded analytics play in the category: AI answer monitoring, server-log Agent Analytics (AWS, Azure, Vercel, Cloudflare integrations with bot-identity verification), page intelligence, no-code Agents for AEO/content/PR workflows, and direct CMS publishing including Adobe Experience Manager workflow nodes (shipped Aug 2026). Gartner-named Representative Vendor. Pricing from $99–$399/mo up to enterprise custom.
Profound proves the market is real and moving from monitoring toward action — exactly the direction GeoScript is architected around. Their $1B valuation is the category's strongest proof point.
Profound is enterprise-brand and content oriented. GeoScript is built around the agency's whole commercial loop for local and multi-location businesses: finding the opportunity, winning the client, white-label fulfillment, controlled site intervention, and cross-client outcome evidence. Different buyer, different economic loop.
Multi-engine monitoring with agency-oriented features: Pitch Projects (temporary 7-day prospect workspaces — 3 to 25 per plan), unlimited client projects with no per-seat fees, MCP-driven reporting automation (Claude, n8n, Make), Agent Analytics from $189/mo, and Looker Studio dashboards for client reporting.
Pitch Projects confirm that agency acquisition workflows are valuable — agencies want to sell with AI-visibility evidence.
Peec gives the agency a pitch tool after the agency already knows whom to pitch. GeoScript is designed to discover which businesses are worth pursuing (Opportunity Engine), route them into the pipeline with evidence, then run acquisition → fulfillment → retention in one white-label system. No native white-label exists at Peec; it's core architecture here.
Solid monitoring from $29–$489/mo with unlimited agency workspaces on Standard+, plus server-log Agent Analytics (launched Aug 2026) classifying AI bots into on-demand fetchers, indexing crawlers, and training scrapers.
Otterly's own architecture confirms the technical truth GeoScript is built on: authoritative AI-crawler telemetry comes from server/edge/CDN logs, not browser JavaScript.
No native white-label (they recommend Looker Studio), no opportunity supply, no on-site intervention or deployment layer, no acquisition-to-retention loop. Otterly is a good tool an agency uses; GeoScript aims to be the system an agency runs its AI-visibility business on.
The differentiation claim we stand behind: we have not found another platform combining the full loop GeoScript is building — market-wide opportunity discovery, agency client acquisition, white-label fulfillment, controlled on-site intervention, and cross-client intervention/outcome learning.
Business model
Agency-first, per active client. GeoScript is fulfillment infrastructure, not a dashboard tier.
Current pricing direction. The agency chooses what it charges its client, owns the client relationship, and keeps the service economics. Every new client the agency closes creates another paid GeoScript Workspace.
One agency can become 5, 20, 50+ recurring Workspaces. Because GeoScript powers acquisition as well as fulfillment, expansion happens inside the customer account.
Direct business access will exist, priced and structured to protect agency economics. We're building around agencies, not around bypassing them. Direct pricing is not final.
| US digital marketing agencies | 85,000+ |
| UK / CA / AU agencies (international expansion) | 40,000+ |
| SMBs actively investing in digital marketing (US) | 4.2M+ |
| GEO/AEO manual work billed by agencies today | $2,500–$8,000/mo per client |
| Year 1 target paying agencies | 500–1,000 |
| Year 1 target ARR (500–1,000 agencies × ~3 Workspaces) | $9M–$18M |
Full market sizing, channel-by-channel distribution projections, and unit-economics models in the data room.
The agency network can expand beyond existing agencies
Expansion path, not the core pitch. NETWORK SCALE
GeoScript initially distributes through existing agencies. Over time, the same infrastructure can let new operators launch an AI-visibility service without building the company stack from scratch: opportunity supply, business setup guidance, white-label brand, offer and pricing tools, payments, sales evidence, fulfillment, reporting, and retention.
The long-term opportunity is to create supply, not just recruit it.
No earnings claims, no guaranteed clients — barrier removal. Distribution compounds alongside the data.
Raise terms
| Instrument | Post-Money SAFE |
| Valuation cap | $12M (post-money) |
| Discount | None |
| Raise | $1.5M (max 12.5% dilution) |
| Minimum check | $50,000 |
| Pro-rata side letter | Available at $200k+ |
| Board seats | None |
| Governance rights | None |
| Rolling closes | Yes — each investor signs and wires independently |
Investors committing $200k+ receive a pro-rata right to maintain their ownership percentage in the Series A. The larger the step-up, the more valuable the right becomes.
- ✓ Equity at the next priced round, priced at the $12M cap
- ✓ % locked in at signing: Investment ÷ $12M
- ✓ Pro-rata side letter at $200k+
- ✗ No board seat
- ✗ No governance rights
The team
Small, focused, and structured to move fast. GTM is in-house and multi-channel: paid acquisition across Google, Meta, and LinkedIn (calibration-test-then-scale, with agency execution support), press and 50+ pre-launch podcast pitches, 500–1,000 micro-influencer partnerships, newsletter sponsorships, a 20%-recurring affiliate program, a commission-only sales-rep network, a 47k+ agency database with live outreach infrastructure (source of the first 26 reservations), a free AI-visibility checker for inbound, and Pitch Mode exposing GeoScript to every prospect an agency pitches. Product engineering scales as agencies sign.
Product direction, system architecture, agency GTM. Built cybertruckwrap.com solo and ranked it #1 organically in both Google and AI search — the methodology GeoScript productizes. Co-built and shipped Gradelog.com end-to-end. GeoScript is his sole focus.
Co-built Gradelog.com with Alex. Full-time engineer. Owns the agency-view platform — dashboard, roster, portfolio analytics, Workspace administration, white-label controls — plus overall UX and user security hardening (auth flows, session model, RBAC). Also owns the sales-rep network build and the sales/affiliate/creator asset library.
Owns the GTM motion end to end: paid acquisition (Google, Meta, LinkedIn), PR and earned media, influencer and nano-influencer partnerships, podcast and newsletter placements, sales enablement collateral, affiliate program, and content team leadership.
Full-time engineer. Owns the client-view side of the platform — every feature an agency sees inside a specific client's Workspace: dashboard, tracked-query workspace, citation analysis, optimization queue, alerts, and reports.
Owns the evidence-graph schema, data integrity, normalization, and pipeline reliability.
4th engineer alongside Alex, Matthew, and Adam. Accelerates the first useful product slice.
Agency onboarding queues, client account setup, and support ticket triage.
Turns findings from the evidence graph into a public content drumbeat.
Structure: 10% option pool established. All post-close hires are equity-heavy to preserve runway. Full comp, tenure, and org-chart detail available in the data room.
Common questions
Ready to discuss the round?
$1.5M · $12M post-money SAFE · rolling closes — each investor signs and wires independently. Minimum $50k. Pro-rata side letter at $200k+.
Full data room includes: pitch deck · financial model · distribution projections · use-of-funds breakdown · full competitive deep-dive