Company AI Visibility Benchmark
Measure how AI recommends your brand. Standardized visibility scoring, GEO analysis, and actionable insights across generative AI systems.
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VeritasLinks is the Company AI Visibility Benchmark platform. Our core is three analytical layers: GEO (Generative Engine Optimization—how AI recommends your brand), DFP (Digital Footprint—structured public signals), and AFG (AI Focus Groups—simulated buyer perception). These feed a normalized VeritasScore and actionable recommendations.
Analysis toolkit: GEO analysis, Digital Footprint Intelligence, AI Focus Groups, VeritasScore, and prioritized improvement recommendations.
Visibility improvement tools: Blog post generator, video generator, landing pages generator, and FAQ generator—all designed to fix what the analysis surfaces.
Additional platform layers: Marketplace with workflow automation, public company pages (services, FAQ, contact form, and reviews informed by DFP + GEO + AFG), and a boosting system for visibility when it matters.
Our primary vector is GEO + DFP + AFG; the rest strengthens that core.
Two user types: Companies get access to video generator, landing pages, marketplace, and boosting—and run GEO, AFG, and DFP only for themselves. Agencies can run GEO, AFG, and DFP for many clients but do not manage company pages; they use the marketplace as buyers. All other services (analysis, blog, FAQ, focus groups) are available to both companies and agencies.
Generative Engine Optimization services: $0.9B (2024) to $7.3B by 2031 at 34% CAGR. We sit in the addressable AI-visibility tooling segment.
VeritasLinks is the Company AI Visibility Benchmark—GEO, Digital Footprint, and AI Focus Groups with VeritasScore and recommendations. Content and visibility tools extend the core.
Pay-as-you-go token packs; 1 token = $2. Blog/FAQ/Landing: 1 token; Focus Groups and GEO (AI Brand Audit): 4 tokens ($8). A GEO report that sells for $150 elsewhere costs $8 in tokens; 7,000+ Fiverr sellers offering GEO are a natural user base. Tokens never expire. Free tokens on registration.
Companies and agencies. Freelancers and agencies already use tokens for client reports; white-label adds agency resale potential.
Multi-LLM pipeline (OpenAI, Claude, Gemini, DeepSeek, Perplexity), LangChain/LangGraph, proprietary scoring (VeritasScore), and agent workflows (GEO, focus groups, content). Data moat from DFP (Digital Footprint): structured public signals compound as usage grows. See Competitive Analysis → Defensibility.
Founder with 20+ years in software and early AI work; CFO with CPA, MBA, and scaling experience.
We are seeking investment to accelerate platform growth, expand the team, and capture market share. Funds will be used for:
Companies think they understand how customers see them—but they see themselves through their own lens. The market and AI see them completely differently. Today there is no standardized metric for how often or how well AI recommends a brand—no equivalent of a FICO-style visibility score (300–870) to track over time or compare with competitors.
VeritasLinks makes the invisible layer of AI perception visible, measurable, and manageable. The platform does two key things:
The gap between what AI "thinks" and what humans feel almost always exists—and that's where clients and revenue are lost. VeritasLinks identifies this gap and provides tools to close it.
Understand how generative AI models (ChatGPT, Claude, Gemini) perceive your company. Track AI Visibility, Share of Voice, Rankings, and identify what signals strengthen or weaken your positioning.
AI-powered focus groups model how different customer types react: what they understand immediately, what raises doubts, what seems like a strength vs. a red flag.
Find the critical gap between what AI "thinks" and what humans feel. This gap is where clients and revenue are lost.
Built-in content generation (blogs, FAQs, landing pages, videos) to strengthen signals that analysis surfaces. Content is a means to align perception and improve AI visibility, not an end goal.
A standardized 300–870 AI visibility benchmark (FICO-style) so you can track performance over time and compare with competitors. One number, one timeline, one actionable roadmap.
The core of VeritasLinks is three analytical layers: GEO (Generative Engine Optimization), DFP (Digital Footprint Intelligence), and AFG (AI Focus Groups). Together they produce a normalized VeritasScore and recommendations. DFP is part of the GEO/VeritasScore pipeline and feeds content generators; it is not a standalone product. Everything else—content generators, public company pages, marketplace, boosting—extends that core.
When a company or agency uses the platform, the system collects and structures the digital footprint, runs GEO analysis (how AI recommends the brand across multiple LLMs), and runs AI focus groups to simulate buyer perception. The gap between what AI "thinks" and what humans feel is where we help with targeted content and actions.
The Company AI Visibility Benchmark. GEO measures how generative AI systems recommend your brand. DFP aggregates and normalizes public signals. AFG simulates buyer perception. Outputs feed VeritasScore (300–870, FICO-style) and an actionable roadmap.
Companies get a public page with services, FAQ, contact form, and reviews informed by DFP, GEO, and AFG. The catalog supports discovery and trust; boosting is available when visibility matters.
Backend and data: PHP, Python, TypeScript, JavaScript, React, PostgreSQL, ClickHouse, Redis. AI: OpenAI, Perplexity, Claude (Anthropic), Gemini (Google), DeepSeek; LangChain and LangGraph for agent orchestration across the platform. Deployment: Docker. The system is agent-based: GEO, focus groups, and content generators each run on their own LangChain/LangGraph agent pipelines (e.g. GEO: visibility, sentiment, competitors, E-E-A-T, revenue across multiple LLMs).
GEO analysis queries ChatGPT, Claude, Gemini, and other models; aggregates results for visibility score, share of voice, and recommendations.
Agent orchestration across the platform: GEO, AI focus groups, and content generators each use their own LangChain/LangGraph agent workflows for reproducible, multi-step analysis and generation.
Content generation and analysis use multiple providers for quality and resilience.
Structured data, analytics, and caching for scale.
Containerized services including the GEO analysis microservice.
Real screenshots of the platform demonstrating user experience and design:
All services consume tokens (1 token = $2). Token packs are purchased as needed; tokens never expire. See the platform for current pack sizes and discounts. Below: screenshots of token packs and features.
We focus on the market for Generative Engine Optimization (GEO) and AI visibility tooling. The global GEO services market was valued at $0.9B in 2024 and is projected to reach $7.3B by 2031, growing at 34% CAGR (Valuates Reports, 2025). Broader SEO/SEO-software markets exceed $100B by the end of the decade (Research and Markets, Grand View Research), with AI and answer-engine adoption driving demand for visibility in LLM recommendations.
TAM: The global GEO services market is estimated at $0.9B in 2024 and projected to $7.3B by 2031 at 34% CAGR (Valuates, 2025). It sits within the larger $100B+ SEO/SEO-software market by 2030 (Research and Markets, Grand View Research).
SAM: Our focus is B2B SaaS for marketing agencies and consultants in the US and Europe who already use AI tools. We estimate the addressable market for GEO/LLM-visibility tooling at $1–2B ARR (200–400k companies × $2.5–5k/year). This is the addressable AI-GEO tooling spend within the broader SEO-software market.
SOM: At our current stage (bootstrapped, early traction), capturing 1–5% of SAM over 3–5 years is a realistic product/GTM hypothesis—corresponding to $10–50M ARR. This is driven by agencies moving from manual GEO/LLM audits to a dedicated tool, with typical spend from hundreds to tens of thousands per year per team, plus white-label resale.
GEO and AI visibility reports are already a paid category: comparable reports sell for $30–$150 depending on depth and complexity. VeritasLinks delivers report quality at the upper end of that range for $8 (4 tokens)—enabling freelancers and agencies to either keep their margin while scaling delivery or offer the same quality at a lower price and win more clients. On Fiverr alone, 16,000+ freelancers offer GEO or AI visibility analysis; each is a potential platform user, as we automate and scale the same deliverable they currently produce manually. We do not replace them—we become their production engine.
GEO service providers, digital agencies, brand positioning consultants, AI visibility strategists, and freelancers who offer brand visibility and audit services. They need standardized benchmarks (e.g. VeritasScore), multi-LLM analysis, and client-ready reports.
Companies that want to monitor and improve how AI recommends their brand—SaaS, B2B brands, and reputation management teams. They use GEO, DFP, and AFG for themselves and content tools to close gaps.
VeritasLinks does not directly compete with generalist review or directory platforms (e.g. G2, Clutch, UpCity, Capterra), which focus on human reviews and vendor catalogs. Early users report that VeritasLinks complements their existing SEO and MarTech stack by adding a new angle: how generative AI recommends and perceives brands. We provide the Company AI Visibility Benchmark—a standardized, comparable metric (VeritasScore) and a full analysis stack (GEO + DFP + AFG) that other tools do not offer.
For investors, the relevant frame is the GEO and AI-visibility tooling segment. Established players in adjacent spaces (SEO software, content optimization, digital PR) do not yet offer an integrated GEO + Digital Footprint + AI Focus Groups + VeritasScore benchmark. VeritasLinks is positioned as the platform that defines and delivers this category.
| Segment | Typical focus | VeritasLinks difference |
|---|---|---|
| SEO / keyword tools | Search engine rankings, keywords, backlinks | We measure AI recommendation behavior and visibility across ChatGPT, Claude, Gemini—not traditional SERPs. |
| Content / GEO services | Content optimization, authority signaling, synthetic indexing | We add a standardized 300–870 benchmark (VeritasScore, FICO-style), DFP aggregation, and AFG (simulated buyer perception) in one platform. |
| Review / directory platforms | Human reviews, vendor catalogs | We do not replace them; we complement with AI visibility analysis and benchmark. Catalog/marketplace are secondary to our core. |
Full Company AI Visibility Benchmark: GEO (how AI recommends you), Digital Footprint (public signals), AI Focus Groups (buyer perception). One platform, one score, one roadmap.
Standardized 300–870 metric (FICO-style) for tracking and comparison. No other platform offers this as the centerpiece of AI visibility measurement.
Run GEO/AFG/DFP for many clients; white-label and token-based reports. Fits existing agency workflows and resale models.
Token packs (1 token = $2); no mandatory subscription. GEO and AFG at 4 tokens each; content at 1 token. Affordable for teams and solo consultants.
VeritasLinks is built on three defensible pillars that are difficult for competitors to replicate quickly:
VeritasLinks operates a unified token-based monetization system focused on perception management. Companies invest in understanding and managing their AI perception. All services use tokens from a single balance. Tokens never expire and accumulate, providing maximum flexibility for users.
Users purchase token packs as needed. There is no mandatory monthly or yearly subscription—only pay for what you use.
All services consume tokens from your unified balance:
| Service | Token Cost | Dollar Equivalent | Description |
|---|---|---|---|
| Blog Generation | 1 token | $2 | Professional blog (600-14,000 words), visibility-ready, plagiarism check, auto-publishing |
| Video Generation | 1 token | $2 | Promo video with professional voiceover, 100% unique visuals, full customization, HD download |
| Video Script | 1 token | $2 | 3 ready-made video scripts (sales, education, case study), optimized structure |
| FAQ Generation | 1 token | $2 | 10-20 Q&A pairs based on industry, categorization, editing, visibility optimization |
| Landing Page Generation | 1 token | $2 | Full-featured landing page with AI-generated content, version control, responsive design |
| AI Focus Groups | 4 tokens | $8 | AI-powered focus group simulation, test ideas in 5 minutes, realistic personas, detailed insights |
| AI Brand Analysis | 4 tokens | $8 | Comprehensive brand visibility analysis in AI responses (ChatGPT, Claude, Gemini). Analyzes: AI Visibility - percentage and 30-day trends tracking; Share of Voice - brand dominance vs competitors; Rankings - position tracking over time; Competitor Analysis - SWOT, E-E-A-T scores, Content Gap Opportunities, Recommended Actions; Citation Sources - quality score, domain authority, freshness; Mentions Explorer - sentiment analysis for each mention; Revenue Opportunity Cost - missed revenue calculation with ROI calculator; 4-week Action Plan - prioritized roadmap. Uses the platform’s LangChain/LangGraph agent pipeline (GEO agents: visibility, sentiment, competitors, E-E-A-T, revenue) for enterprise-grade insights. |
| Boost System | 1 token | $2 | Top position in search results, average 5-10 leads per boost |
New users and companies receive free tokens on registration:
Traction from gating: We generated 70 reports for different companies and sent them invites to view. With part of each report hidden behind the paywall, 40+ of the 70 companies bought token packs to unlock and view the full report. That validates both demand for GEO reports and the effectiveness of the free-trial → paid-unlock funnel.
Who it’s for: The catalog and marketplace are available to registered companies only. A user who registers a company gets access to the catalog and can receive leads and run workflows.
Catalog and leads. The main function of the catalog is lead generation. A visitor lands on a company’s public page, reads the review we generated (from GEO/DFP/AFG), sees the company’s services and strengths, and can send the company a service request. After that, the visitor completes registration and enters the marketplace, where the request becomes a structured workflow.
Marketplace and workflows. The platform’s Service Request → Offer → Workflow engine supports AI-assisted workflows: it tracks communication between the buyer and the company, creates and maintains an AI workflow, and tracks milestone-based delivery. Optionally, funds can be transferred from buyer to company (e.g. via escrow). Note: direct escrow/payouts are currently limited by Stripe policy changes; we are evaluating alternative payment and escrow options.
All features are available with token-based access; there are no separate monthly or annual subscriptions.
Illustrative run-rate with investment: token pack purchases (pay-as-you-go), GEO/AFG and content usage, plus optional marketplace and partnerships. Revenue mix is oriented toward core product (GEO, AFG, content) rather than marketplace.
| Revenue Stream | Key Assumptions | Monthly Revenue |
|---|---|---|
| Token pack purchases | Pay-as-you-go packs; mix of agencies, freelancers, and companies buying tokens | $231,000–346,000 |
| Token usage (GEO, AFG, content) | GEO and AFG at 4 tokens each; blog, FAQ, landing at 1 token. Growing adoption post–free trial. | $52,000–81,000 |
| Marketplace escrow (optional) | 5% on escrowed workflows; secondary to core product revenue | $23,000–43,000 |
| Partnerships & white-label | Referrals, agency resale | $12,000–29,000 |
| Total (range) | $317,000–500,000 |
Projected Monthly Run-Rate (with investment): Target range $317K–$500K/month, with upside as GEO/agency adoption and white-label scale. See Financial Projections for detailed assumptions and timeline.
We track engagement and repeat visits. Our target is strong click-through to company sites and repeat report views; we use platform analytics to optimize the funnel as we scale.
Below are examples of platform statistics:
Software Engineer with over 20 years of experience. Built a credit rating system for Ukraine. Worked as Lead Developer at some of the world's largest companies. Began working with AI before it became mainstream—in 2013 he built CAPTCHA recognition and text analysis systems. Drives product, technology, and the Company AI Visibility Benchmark vision.
Certified Public Accountant (CPA) and MBA with a strong background in financial management and strategic planning. Extensive experience in audit, financial reporting, and compliance, having worked with global firms and diverse industries. Expert in optimizing financial processes and scaling operations for high-growth environments. Proven track record in managing complex financial landscapes and driving long-term fiscal stability.
As the platform grows, the team will expand with focus on product (GEO/core), growth marketing, and sales:
User acquisition, conversion optimization, and scaling traffic for GEO and agency segments. We are also evaluating acquiring a small marketing company (team, processes, and client base) and integrating it into Veritas—with or without the current raise—as a more efficient use of budget than hiring in-house and spending on ads; see Investment section.
Additional engineers to accelerate GEO, DFP, AFG, and platform scaling.
Agency and consultant outreach, white-label and partnership programs.
VeritasLinks financial projections are based on growth in token-based revenue (GEO, AFG, content) and adoption by companies, agencies, and freelancers, assuming we receive the requested $750K investment. Main revenue sources are token pack purchases and usage for GEO (AI Brand Audit), AI Focus Groups, and content generation; marketplace escrow is a secondary stream. Revenue is weighted toward product (GEO/core) rather than marketplace.
Why monitoring frequency will drive repeat usage. The habit of “check once a month” comes from SEO reports built over years. We work with AI models—and the data behind them changes much faster. We have observed a single LinkedIn post shifting VeritasScore by 8–20 points within 2–3 days, not a month. As users realize the score needs to be tracked on an ongoing basis, the frequency of token purchases will increase. Our model benefits from this shift from occasional audits to continuous monitoring.
Planned and roadmap monetization (FICO-style). We can apply many patterns already proven by FICO and use the same logic for VeritasScore: (1) Company opt-out: for a fee (e.g. $15/month), a company can block analysis of its profile on the platform so that no one can view its score. (2) Calendar monitoring: scheduled re-runs of the score—currently in free beta and enabled for all; plan to gate it behind a minimum balance (e.g. 100+ tokens) so that continuous monitoring is a paid feature. (3) Notifications on score change so users react quickly. (4) Recommended companies from our catalog to help improve the score (similar to FICO recommending credit products). (5) API access for integration with any CRM (API is built but not yet public). These and similar features add multiple monetization paths on top of token packs and usage.
| Cost Item | Months | Cost/Month | Total Cost |
|---|---|---|---|
| Advertising/marketing | 3 | $67,333 | $202,000 |
| Growth Marketing Lead | 3 | $19,333 | $58,000 |
| Project Development | 3 | $43,333 | $130,000 |
| Android/IOS Developers | 3 | $28,833 | $86,500 |
| Salesmen | 3 | $28,833 | $86,500 |
| Accounting support | 3 | $20,333 | $61,000 |
| Beta testers | 3 | $10,000 | $30,000 |
| Legal support | 3 | $8,667 | $26,000 |
| Hire a designer | 3 | $5,667 | $17,000 |
| Database architect | 1 | $14,500 | $14,500 |
| Rent | 3 | $4,333 | $13,000 |
| Test payment system | 3 | $1,500 | $4,500 |
| Office supplies | 3 | $500 | $1,500 |
| Buffer / contingency | 3 | $6,667 | $20,000 |
| TOTAL USE OF INVESTMENT | $750,000 | ||
Achievement: 2026 targets revenue from token purchases and usage (GEO, AFG, content), with optional marketplace and partnerships. Revenue is weighted toward core product (GEO/AFG and content); gross margin target ~70% with GTM and hiring.
| Revenue | Q1 | Q2 | Q3 | Q4 | YTD |
|---|---|---|---|---|---|
| Token purchases & usage (GEO, AFG, content) | $923,000 | $1,096,000 | $1,298,000 | $1,500,000 | $4,817,000 |
| Marketplace commission (5%) | $144,000 | $159,000 | $173,000 | $188,000 | $664,000 |
| Partnerships & other | $72,000 | $87,000 | $101,000 | $115,000 | $375,000 |
| Net sales | $1,139,000 | $1,342,000 | $1,572,000 | $1,803,000 | $5,856,000 |
| Cost of goods sold | $342,000 | $402,000 | $471,000 | $541,000 | $1,756,000 |
| Gross profit | $797,000 | $940,000 | $1,101,000 | $1,262,000 | $4,100,000 |
| Expenses | Q1 | Q2 | Q3 | Q4 | YTD |
|---|---|---|---|---|---|
| Salaries & wages | $346,000 | $404,000 | $476,000 | $505,000 | $1,731,000 |
| Marketing & acquisition | $72,000 | $87,000 | $115,000 | $159,000 | $433,000 |
| Sales commissions | $43,000 | $52,000 | $69,000 | $81,000 | $245,000 |
| Platform & infrastructure | $43,000 | $43,000 | $43,000 | $43,000 | $173,000 |
| Total expenses | $505,000 | $586,000 | $704,000 | $788,000 | $2,582,000 |
| Income before taxes | $343,000 | $323,000 | $346,000 | $343,000 | $1,355,000 |
| Income tax expense (15%) | $51,500 | $48,500 | $52,000 | $51,500 | $203,500 |
| NET INCOME | $292,000 | $275,000 | $294,000 | $292,000 | $1,153,000 |
Momentum: Marketplace GMV surpasses $14M annually (≈$1.2M/month) with a steady 5% take rate, while boost subscriptions more than double year-over-year. Annual revenue climbs to $12.8M and net income passes $3.15M even after reinvesting into GTM, product, and infrastructure.
| Revenue | Q1 | Q2 | Q3 | Q4 | YTD |
|---|---|---|---|---|---|
| Boost subscriptions & add-ons | $2,078,000 | $2,338,000 | $2,712,000 | $3,173,000 | $10,301,000 |
| Marketplace commission (5%) | $346,000 | $375,000 | $491,000 | $519,000 | $1,731,000 |
| AI content & premium services | $173,000 | $173,000 | $144,000 | $289,000 | $779,000 |
| Net sales | $2,597,000 | $2,886,000 | $3,347,000 | $3,981,000 | $12,811,000 |
| Cost of goods sold | $832,000 | $924,000 | $1,071,000 | $1,274,000 | $4,101,000 |
| Gross profit | $1,765,000 | $1,962,000 | $2,276,000 | $2,707,000 | $8,710,000 |
| Expenses | Q1 | Q2 | Q3 | Q4 | YTD |
|---|---|---|---|---|---|
| Salaries & wages | $519,000 | $606,000 | $692,000 | $779,000 | $2,596,000 |
| Marketing & acquisition | $173,000 | $216,000 | $260,000 | $346,000 | $995,000 |
| Sales commissions | $115,000 | $159,000 | $216,000 | $274,000 | $764,000 |
| Platform & infrastructure | $130,000 | $144,000 | $173,000 | $202,000 | $649,000 |
| Total expenses | $938,000 | $1,125,000 | $1,341,000 | $1,601,000 | $5,005,000 |
| Income before taxes | $827,000 | $837,000 | $935,000 | $1,106,000 | $3,705,000 |
| Income tax expense (15%) | $124,000 | $126,000 | $140,000 | $166,000 | $556,000 |
| NET INCOME | $703,000 | $711,000 | $795,000 | $940,000 | $3,149,000 |
Revenue is driven by token purchases and usage for GEO, AFG, and content—with adoption from companies, agencies, and freelancers. Marketplace is a secondary stream.
2026 targets ~$5.9M revenue and net income in the $1.15M+ range; 2027 scales with continued product and GTM investment.
Investment prioritizes product (GEO/core) and go-to-market; financials align with Revenue Breakdown and Investment Opportunity sections.
GEO services: $0.9B (2024) to $7.3B by 2031 at 34% CAGR. We are the Company AI Visibility Benchmark in a category that is just being defined.
One platform—GEO, Digital Footprint, AI Focus Groups, VeritasScore—with content and visibility tools. Agencies and freelancers already use it for client reports; white-label supports resale.
Pay-as-you-go token packs; revenue from GEO, AFG, and content usage. Early paying users (e.g. freelancers); conversion from free reports to paid re-runs and packs.
200–400 visitors/day, 40% return to view reports. Product works. We need Growth Marketing Lead and marketing budget to scale traffic and conversion.
Proprietary scoring (VeritasScore), agent workflows (LangChain/LangGraph across GEO, AFG, content), DFP data moat (structured public signals compound with usage). Multi-LLM pipeline; defensible infrastructure for AI visibility benchmarking.
Founder (20+ years software, early AI); CFO (CPA, MBA, scaling and compliance). Team focused on product and GEO growth.
We're raising $750,000 to accelerate growth, optimize conversion funnel, and scale marketing. Here's exactly how we'll use it:
| Direction | Amount | Description |
|---|---|---|
| Marketing & Growth | $288,000 | Paid advertising (LinkedIn/Facebook), content marketing, visibility optimization, and targeted campaigns. Current acquisition is 100% organic; investment scales paid channels. |
| Growth Marketing Lead | $231,000 | Annual salary for Growth Marketing Lead to optimize conversion funnel, A/B test landing pages, manage campaigns |
| Product & Infrastructure | $144,000 | Tools, infrastructure scaling, product improvements, analytics platforms |
| Buffer & Runway | $87,000 | Unexpected expenses, runway extension, legal and compliance |
| Total Investment | $750,000 |
Expected Outcome: The $750K provides 12–18 months runway. With this investment, we scale traffic and conversion toward a target run-rate of $317K–$500K/month (see Revenue Breakdown and Financial Projections), with upside from GEO, agency, and white-label adoption. Timeline: 6–12 months to ramp. If traction accelerates, we can raise the next round at a higher valuation.
Alternative use of marketing budget—acquisition. We are considering acquiring a small marketing company (with existing team, processes, and client base) and integrating it into Veritas—even without this round. Financing could come from SBA 7(a) (based on personal credit) or other programs (based on the target company’s creditworthiness). We see this as more efficient than hiring in-house and spending on ads: the budget stays inside the platform, adds a self-sustaining revenue stream, and delivers a stronger return—integrated agency, GEO applied to live clients, and real-time visibility for those clients. This path is under evaluation independently of the raise.
Based on growth in GEO and AI visibility adoption:
| Risk | Impact | Mitigation |
|---|---|---|
| Adoption velocity | Slower conversion to paying token users could delay revenue. | Free tokens and report experience; repeat use (re-run GEO/AFG) drives conversion; agency and white-label broaden reach. |
| LLM / API dependency | Changes in model behavior or API access could affect GEO quality. | Multi-LLM pipeline (OpenAI, Claude, Gemini, DeepSeek, Perplexity); monitoring and fallbacks; proprietary scoring layer. |
| Competitive response | Others could enter GEO/visibility benchmarking. | First-mover; defensibility via proprietary scoring (VeritasScore), agent workflows (LangChain/LangGraph), and DFP data moat; GEO+DFP+AFG+VeritasScore as integrated differentiator; complement to existing SEO/MarTech stacks. |
| Regulatory & compliance | Data-privacy or payments regulation could affect operations. | Stripe Connect for payments; compliance roadmap; legal reserve for policy updates. |
VeritasLinks is the platform that measures how AI recommends your brand—GEO, Digital Footprint, AI Focus Groups, and VeritasScore in one place. Our defensibility rests on proprietary scoring (VeritasScore), agent workflows (GEO, AFG, content), and the DFP data moat (structured public signals that compound with usage). The product is live, token-based monetization is in place, and we are ready to scale.
We invite you to schedule a deep dive, review the detailed data room, and align on the investment terms. Once you are on board, we will execute with the same focus we brought to building the platform—so you can lean back and watch the GEO category grow with us.
Next step: book a call or request the full investment deck. We look forward to discussing the opportunity with you.