About ARPAI GEO

We built the first full-cycle platform for Generative Engine Optimization — because the shift from search rankings to AI recommendations changes everything about how businesses are discovered online.

The Problem We Solve

According to BrightEdge research, over 40% of search queries now receive a direct AI-generated answer instead of ten blue links. When a customer asks an AI assistant "who is the best in my area," the AI names specific brands. If yours isn't mentioned, the customer goes to a competitor — without ever seeing your website, your ads, or your search ranking.

Traditional SEO tools were built for a world of keywords, backlinks, and search engine results pages. They can't tell you what ChatGPT recommends when someone asks about your industry, or whether Perplexity mentions your competitor but not you, or what Google AI Overviews says about your product category in Germany versus Japan.

ARPAI GEO was built specifically for this new reality. We monitor your brand across every major AI engine simultaneously, analyze why competitors get recommended, generate strategies to improve your AI visibility, and track the actual revenue from AI-driven traffic. The full cycle — from discovery to measurable ROI.

Founder

Dmitry Volchenko

Founder & CEO

Product engineer with deep expertise in AI systems, NLP, and marketing analytics. Built ARPAI GEO from the ground up — from the AI engine query pipeline and hallucination filtering to the traffic attribution pixel and GEO strategy generator. Focused on creating tools that give businesses measurable, data-driven control over their AI visibility rather than generic advice.

welcome@arpai-geo.com

Platform in Numbers

AI engines monitored

Countries covered

Languages supported

AI traffic sources tracked

How Our Monitoring Works

Every monitoring run follows a rigorous methodology designed to produce accurate, actionable data — not vanity metrics.

Query Generation

15 queries per location, generated from your business profile across 8 buying-intent angles: informational, transactional, comparison, local search, problem-solution, recommendation, review, and expert opinion. Queries mirror how real customers ask AI for advice.

Multi-Engine Execution

Queries are sent simultaneously to ChatGPT, Perplexity, Google AI (Gemini), Google AI Overviews, Google AI Mode, Grok, Copilot, and You.com. Each engine has different training data, retrieval mechanisms, and recommendation logic — monitoring all of them is essential.

AI-Powered Validation

Every AI response is analyzed by a separate validation model that confirms brand mentions, extracts sentiment signals (positive, neutral, negative), identifies citation URLs, and filters out AI hallucinations. Bidirectional name matching prevents false positives.

Metric Calculation

Share of Voice, Brand SOV, Visibility Score, Sentiment Distribution, and Citation Rate are computed from validated data. Competitor rankings are extracted per query, per engine, per location — giving you a complete competitive map.

Beyond Monitoring: The Full Cycle

Monitoring tells you where you stand. The rest of the platform tells you what to do about it and whether it worked:

Source Analysis identifies exactly which platforms and publications AI engines trust in your industry. Strategy Generation uses an AI agent to research your market and build a prioritized action plan from your real data. Content Engine creates expert articles with built-in GEO signals targeting your blind spots. Hypothesis Testing validates every action with statistical before-and-after comparison. AI Traffic Pixel closes the loop by tracking visitors from 12 AI sources, measuring engagement, and attributing conversions to their original AI source — even if the customer returns directly weeks later.

Our Approach

Data Over Opinions

Every recommendation in the platform is backed by actual monitoring data from real AI engine responses. No generic advice, no "best practices" lists — only insights derived from your specific market, location, and competitive landscape.

Measurable Outcomes

If you can't measure it, it doesn't count. Every strategy action can be turned into a testable hypothesis with a clear verdict after the next monitoring cycle. The AI Traffic Pixel connects monitoring data to actual revenue.

Fair Pricing

Pay-as-you-go, no subscriptions, no annual contracts. A monitoring run costs $12 — the same whether you're a solo consultant or an enterprise team. Balance never expires. Unlimited team members at no extra cost.

Product Timeline

2025 — Research & Prototype

Initial research into AI engine recommendation patterns. Built the first query pipeline for ChatGPT and Perplexity. Validated the core hypothesis: different AI engines recommend different brands for the same query, and this can be systematically monitored.

Early 2026 — Platform Launch

Expanded to 5 AI engines, added multi-location monitoring (72 countries, 44 languages), built the hallucination filtering pipeline. Launched Share of Voice metrics, competitor tracking, and the GEO audit tool.

Mid 2026 — Full-Cycle Platform

Added 8 AI engines, Source Analysis, AI Strategy Generator, Content Engine with expert article writing, Hypothesis Testing with statistical validation. Launched the AI Traffic Pixel with cross-session attribution, engagement tracking, and conversion measurement. Released the international version at arpai-geo.com with pay-as-you-go pricing.

Next — Continuous Expansion

Adding new AI engines as they emerge. Expanding automated monitoring schedules, deeper integration between monitoring data and content recommendations, and enhanced ROI attribution across the full customer journey from AI recommendation to purchase.

Industries We Serve

ARPAI GEO works for any business that customers research through AI before making a decision. Our users span a wide range of industries:

Professional Services — law firms, consulting agencies, accounting practices, marketing agencies. When someone asks AI "best marketing agency in Berlin" or "top immigration lawyer near me," your firm needs to be in the answer.

SaaS & Technology — CRM platforms, project management tools, analytics software, cybersecurity solutions. AI engines are the new comparison engines: "best CRM for small business" is now asked to ChatGPT, not Google.

Hospitality & Travel — hotels, restaurants, tour operators, airlines. "Best hotel in Saint-Tropez" in English for foreign tourists versus "meilleur restaurant" in French for locals — each returns different recommendations.

E-Commerce & Retail — product brands, marketplaces, D2C companies. Product monitoring tracks how AI recommends your individual products and which competitors appear alongside them.

Healthcare & Wellness — clinics, medical practices, health platforms. Patients increasingly ask AI for provider recommendations before booking appointments.

Financial Services — banks, insurance companies, fintech, investment platforms. Each product line (mortgages, investment accounts, insurance policies) gets its own monitoring with its own competitive landscape.

Manufacturing & B2B — industrial suppliers, logistics companies, equipment manufacturers. Even B2B buyers now consult AI when evaluating vendors.