GeoScript.ai
Post-Money SAFE
Two-tier platform: Tier 1 ($399/seat) beats every monitoring competitor on price and coverage. Tier 2 ($899/seat) is the only product in the category that automatically deploys the fix — via a single script tag, no competitor comes close. Built for the 125,000+ agencies and millions of local businesses invisible to AI right now.
Full data room, pitch deck, ads projections, press distribution plan, and influencer + affiliate strategy available on request.
When AI ranking rules change, we’ll know before Google even tells you.
That’s what the dataset unlocks — and why data, not dashboards, is the moat.
“$189M has been invested in dashboards that show agencies their clients are invisible to AI. GeoScript is the first product that actually fixes it — automatically, with a single script tag.”
Why now
AI search isn't a trend — it's a structural shift in how buying decisions get made. This is the single most important upgrade available to any local business or marketing agency today.
ChatGPT handles 10B+ queries/month. Google AI Overviews appear on 50%+ of searches. Perplexity is the default browser on Samsung flagship phones. 80% of AI assistant citations don't rank in Google for the same query (Ahrefs, 2025) — years of SEO investment doesn't transfer. Every local business is effectively starting over.
Otterly, Peec, Profound, AthenaHQ — every dollar went to monitoring. The entire category built a smoke detector and called it a fire department. GeoScript is the first product that actually deploys the fix. That's not a positioning choice — it's a category gap nobody filled.
85,000+ agencies serve clients asking about AI visibility. This work is being billed at $2,500–$8,000/mo per client manually. GeoScript automates it at a fraction of that cost. This is the AI integration boring businesses have been waiting for — not a new tool to learn, a service they already sell.
Think .com era. Google didn't win because of a better interface — they won because they collected more data than anyone and compounded it aggressively. We've architected the first geo-local AI citation dataset ever assembled: a 144M-query pipeline spanning 300+ industries, 4,000+ cities, 6 engines, across 4 proprietary data layers nobody else has. This round funds the pull. The window to be first is open right now. It won't be.
The opportunity
Every competitor is a monitoring and recommendations tool. They surface the problem and tell you what to fix. GeoScript Tier 1 ($399/seat) matches and beats them on monitoring. GeoScript Tier 2 ($899/seat) goes further than any competitor has gone — deploying the actual fix inside the client's site: automated schema injection, AI crawler mode, structured answer blocks, and llms.txt maintenance, all via a single script tag, fully reversible.
Agencies are white-label resellers. They pay $399–$899/seat, deploy GeoScript under their own brand, and bill their clients at market rate ($2,500–$8,000/mo). Every agency that signs is a compounding distribution node. 100 agencies × avg 5 clients each = 500 businesses on the platform from a single campaign.
The 144M+ query benchmark is planned to be the largest geo-local AI citation dataset in the category — architected and costed, funded by this round to pull. A competitor could match it in 3–4 months with budget. That's the head start, not the permanent moat. The real moat is first-party data from deployed client scripts: what AI crawlers actually read, which content changes moved citation rates, real before/after outcomes. 2,400 executions per client per month at ~$16 cost. Cannot be purchased. Only exists because we have the script live on real client sites.
Every client that installs the script creates internal data no competitor can buy. That signal compounds across every client on the platform. Aggressive distribution from day one isn't just GTM — it's the moat strategy. Every agency signed before a competitor ships a competing script creates a gap that widens permanently.
Enterprise AI search tools like Profound serve giant national brands with big retainers. GeoScript is built for the opposite end of the market: the local and regional businesses that live on showing up in search, and the marketing agencies that manage dozens of them at once. There are a few hundred enterprise brands worth chasing. There are tens of millions of local businesses and 85,000+ US marketing agencies serving them. Our addressable market dwarfs the enterprise segment those tools compete over.
The agency channel is also what drives our acquisition economics. Winning a single business is one client. Winning one agency can mean 5, 15, 50, or over 100 client sites from a single sale, which collapses our effective CAC and compounds our dataset with every client the agency adds. That is why the platform is designed agency-first, with white-labeling and multi-client management at the core, and why our 26 agency reservations and counting matter: each one represents an entire portfolio of businesses, not a single account.
The data gap seals it. Enterprise tools query AI engines from the outside and never touch first-party data. Nobody is capturing real AI-driven traffic on local business websites at all. That data does not exist anywhere today, and every agency signed starts collecting it across their entire client portfolio.
Traction
Pre-launch. Agency reservation campaign begins immediately upon site going live. This table updates as the founding partner campaign converts.
Conservative model. Does not include direct business channel, inbound from press, affiliate/influencer pipeline, or paid acquisition. Campaign is live — figures update as the founding-partner campaign converts.
Raise terms
| Instrument | Post-Money SAFE |
| Valuation cap | $7M (post-money) |
| Discount | None |
| Raise | $850K (~12.1% 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. Given projected Series A valuations of $100M–$500M+, this is a highly valuable option that early investors get access to before anyone else.
- ✓ Equity at the next priced round, priced at the $7M cap
- ✓ % locked in at signing: Investment ÷ $7M
- ✓ Pro-rata side letter at $200k+
- ✗ No board seat
- ✗ No governance rights
- ✗ No spending approval required
Competitive landscape
$189M+ raised across the category. Every dollar went to monitoring dashboards. Not one competitor has shipped a client-side optimization script.
| Company | Raised | Pricing | Engines | Opt. Script | White-label | Dataset | Optimizes |
|---|---|---|---|---|---|---|---|
| GeoScript | Raising | $399–999/seat | 6 (all included) | ✓ | ✓ | 144M-query pipeline | ✓ |
| Otterly | $29M | $489–$1,226/brand | 4 base + paid add-ons | ✗ | ✗ | ~8M (monitoring only) | ✗ |
| Peec.ai | ~$29M | €85/mo flat | 9+ | ✗ | ✗ | Undisclosed | ✗ |
| Profound | $96M | $295+/mo | Undisclosed | ✗ | ✗ | Undisclosed | ✗ |
| AthenaHQ | YC-backed | $295/mo | Undisclosed | ✗ | ✗ | Undisclosed | ✗ |
Solid monitoring product with real customers: citation tracking, share-of-voice, sentiment analysis, competitor benchmarking, source attribution, content audit scoring, crawlability checker, and a prioritized recommendations list. Also includes a marketplace to purchase content placements. Base covers 4 engines; Claude (+$439/mo), AI Mode (+$149/mo), and Gemini (+$149/mo) are paid add-ons. All-in for all engines on Premium: $1,226/mo per brand.
Otterly's optimization is advisory — it surfaces findings and tells you what to fix. There is no client-side script, no automated deployment, and no changes pushed to a client's site from within Otterly. Every recommendation requires manual implementation by the agency or client.
Customer-siloed monitoring logs: Otterly can see HTTP bot traffic (which bots hit which pages, how often) but cannot see what content a bot ingested, how it performed in citation outcomes, or what specific changes drove improvement. Traffic telemetry ≠ outcome data. No cross-industry benchmarks.
GeoScript Tier 1 ($399/seat) competes directly with Otterly: same monitoring capabilities, all 6 engines included vs. Otterly's add-on model, white-label built in, first-party bot traffic data via script. GeoScript Tier 2 ($899/seat) is in a category Otterly doesn't enter — automated on-site optimization: schema injection, AI crawler mode, content blocks, llms.txt maintenance. No recommendation list. The script does it.
Sophisticated AI visibility analytics for enterprise brands: share-of-voice tracking, competitive gap analysis, prompt attribution, C-suite reporting, and content recommendations. Clients include Ramp, MongoDB, and Figma. One of the most technically advanced products in the category.
Explicitly enterprise-only. Starting price is $295/mo as a portal entry point; meaningful enterprise deployments run significantly higher. Not targeting agencies, not targeting SMBs. Requires dedicated marketing headcount to act on findings.
Their $1B valuation at $96M raised from Sequoia, Lightspeed, and Kleiner Perkins is the single strongest proof point that this category is real, large, and venture-backable. They validated enterprise willingness to pay at scale.
Entirely different buyer. Profound is the enterprise intelligence layer for funded companies. GeoScript is the operational platform for the 125,000+ agencies and millions of SMBs they chose not to serve. We're not competing with Profound — we're building for the market they left open.
Monitor brand mentions across 9+ AI engines via UI scraping (not official APIs), giving them broader engine coverage than most. Flat €85/mo (~$93). Offer 'pitch projects' — structured prompt analysis campaigns that show how a brand appears across a defined set of queries. Popular in Europe with growing US traction.
Pitch project turnaround is 7 days — slow for agencies with urgent client demands. Flat €85/mo pricing doesn't scale with agency size: a solo consultant and a 50-client agency pay the same. No client-side script, no automated content deployment, no white-label PDF export.
Invite-only partner program with approximately 20 global partners as of 2025. Partners receive a directory listing — no revenue share, no white-label tools, no reseller infrastructure.
Per-seat pricing that scales with agency revenue. Full white-label reseller model with branded dashboards and PDF exports. Tier 1 ($399) matches Peec's monitoring at a better price point with US/CA/UK/AU coverage. Tier 2 ($899) adds automated on-site optimization that Peec doesn't offer at all. Better economics at every tier.
$295/mo analytics platform that connects AI search referral traffic directly to GA4 conversion data — answering 'which AI engines are driving revenue?' Strong technical pedigree from the founding team. The attribution layer is a genuine product differentiator that no other tool in the category has shipped.
Monitoring and measurement only — no client-side script, no automated content optimization, no deployment mechanism. No white-label offering, no agency reseller program. Built for sophisticated in-house marketing teams, not for agencies managing multiple clients.
AthenaHQ answers 'how much revenue is AI search driving?' GeoScript answers that and deploys the fix to increase it. GA4 attribution is on our product roadmap. When we ship it, we'll be the only platform that measures AI-driven revenue AND automatically optimizes for more of it.
Persona-based prompt testing, page-level citability scoring, and prioritized content recommendations. Helps marketing teams and agencies understand why specific pages do or don't get cited, and what to change. Well-regarded for the depth of their audit methodology. $15M Series A validates investor appetite in this space.
No client-side deployment script. Recommendations are delivered as a report — implementation is entirely manual. No white-label, no reseller program. The audit tells you what to do; the work falls on whoever is doing the content.
Scrunch tells you what to do. GeoScript does it automatically. The gap isn't analytical quality — it's deployment. Agencies pay for outcomes, not reports. That's the $399–$899/seat value proposition: the work happens without an additional billable hour.
Pitch deck · financial model · mathematically-backed ads projections · press distribution plan · influencer & affiliate strategy · use-of-funds breakdown · full competitive deep-dive
The team
Small, focused, and structured to move fast. Data collection and GTM are in-house from day one; product engineering scales as agencies sign.
Product direction, dataset architecture, agency GTM. Previously built and ranked a service business #1 in its category by hand — the on-page methodology GeoScript automates.
Co-built Gradelog.com with Alex — a full SaaS platform shipped end-to-end. Full-time engineer. Owns the agency-view side of the platform — agency dashboard, roster, portfolio analytics, seat and client license administration, white-label controls, and every feature that lives at the agency level. Owns overall user experience across the product and user security hardening — auth flows, session model, RBAC, and access boundaries. Also owns the outbound sales rep network build and the sales/affiliate/creator asset library — built with Alex and Gabriella so reps, affiliates, and creators run from one consistent playbook. Coordinates agency beta testing.
Leads GTM execution, performance marketing, and media outreach strategy to drive user acquisition, enterprise pipeline, and brand presence. Owns the entire GTM motion end to end. Runs and optimizes paid campaigns across Google, Meta, and LinkedIn targeting key decision-makers and high-intent audiences. Architects multi-channel GTM campaigns to scale product awareness and qualified lead volume. Sources, negotiates, and manages targeted influencer and nano-influencer partnerships to build niche authority. Leads PR outreach securing earned media placements with tech journalists and industry publications. Pitches, lands, and executes strategic podcast appearances and newsletter sponsorships to reach core customer segments. Produces high-converting collateral, messaging frameworks, and content engines for outbound sales teams, channel partners, affiliates, and creators. Develops and manages affiliate marketing initiatives to expand organic acquisition. Directs and mentors social media content specialists to align brand messaging, dynamic content schedules, and cross-platform growth goals — powered end-to-end by the dataset.
Full-time engineer. Owns the client-view side of the platform — every feature an agency sees inside a specific client’s workspace: client dashboard, tracked-query workspace, ranking movement, citation surface analysis, optimization queue, alerts, and reports. Also assists on the agency-side platform where cross-portal work is needed.
Structures, validates, and maintains the dataset — schema design, data integrity, query normalization, and pipeline reliability. Ongoing ownership of the benchmark corpus.
4th engineer alongside Alex, Matthew, and Adam. Accelerates platform build so live agency onboarding can begin within 2 months of 40% funding close.
Philippines-based. Handle agency onboarding queues, client account setup, and support ticket triage.
Owns Twitter/X, LinkedIn, and community channels. Turns weekly dataset findings 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.
Market size
A condensed view. The full market analysis — including ads data, press distribution projections, influencer and affiliate channel modeling, and region-by-region breakdowns — is available in the data room.
| 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 |
| Agencies likely to adopt Year 1–2 (operational target) | ~12,000 |
| Year 1 target paying agencies | 500–1,000 |
| Category investment to date (monitoring only) | $189M+ |
| Live optimization products in this category | Zero |
Full market sizing, channel-by-channel distribution projections, and mathematically-backed ad spend models available in the data room.
Common questions
Ready to discuss the round?
Rolling closes — each investor signs and wires independently. Minimum $50k. Pro-rata side letter at $200k+.
Full data room includes: pitch deck · financial model · ads projections · press distribution plan · influencer & affiliate strategy · competitive deep-dive