Full-Cycle GEO & AEO
Automation Platform

Google is rebuilding search around AI, and over 40% of queries already get a direct AI answer instead of ten links — when a customer asks "who should I choose," AI names a specific brand, and if it's not yours, the customer goes to a competitor without ever seeing your website. ARPAI GEO monitors your brand across all major AI engines at once, because each one recommends different companies. The system analyzes why AI recommends a competitor and gives you a strategy to become the leader. An AI pixel tracks every customer who comes through an AI recommendation — you see real conversions and revenue, not abstract metrics. We've built in 72 countries and 44 languages so you see your real competitors in your real market: a hotel in Saint-Tropez finds out who AI recommends in English to foreign tourists, while an auto repair shop in Stuttgart sees who's suggested in German to local customers.

Check Your Brand — $12

per monitoring run · minimum top-up $25 (covers 2 runs)

72
Countries covered
44
Languages supported
15
Queries per location
8
Buying intent angles

What You Get

From first check to measurable revenue — every step of the journey

01

Brand monitoring across all major AI engines

We ask AI the same questions your customers ask — "best CRM for small business," "reliable logistics company in Frankfurt," "top wealth management firms" — covering 8 different buying intents. 15 targeted queries go to every major AI engine simultaneously. You see who gets recommended in every scenario, how often your brand appears, and whether AI links back to your website.

02

Product and service monitoring

Each product or service gets its own monitoring with its own competitors and metrics. A bank sees how AI recommends its mortgage program separately from its investment products. An e-commerce platform tracks each product category. A law firm monitors each practice area. Financial services, consulting, manufacturing, marketplaces, hospitality — if you sell it, we monitor how AI recommends it.

03

Source analysis: where AI gets its data about your competitors

AI engines don't invent recommendations — they pull from specific information sources: review platforms, industry publications, marketplaces, forums. The system maps exactly which platforms AI trusts in your industry, identifies where competitors are cited but you're absent, and shows you which sources to prioritize to appear in AI answers.

04

Strategy built by AI agent from your real data

The system analyzes your market, location, and competitive landscape, then collects real-time intelligence across sources and competitors. From this research base, it generates a phased promotion strategy: Quick Wins (this week), Medium-Term (1–3 months), and Long-Term (3–6 months). Each phase includes an executive summary, engine-specific playbook showing how to optimize for each AI engine individually, and concrete actions with expected impact and verification timeline. Not generic advice — a data-driven roadmap built from your real monitoring results.

05

AI webmaster: your personal AI specialist

The GEO Audit runs 123 checks across 4 layers — Site Foundation, Page Quality, AI-Ready Content, and AI Authority — including Core Web Vitals analysis. Each check returns a clear pass/fail result with a specific fix. A free public audit is available at /audit for any website. Beyond the audit, the AI Webmaster is your personal specialist who knows your monitoring data, competitors, and experiments. Ask it to generate code, explain metrics, or plan your next move. Available 24/7.

06

Content engine: expert-level articles with AI signals

The system identifies what content to create based on your monitoring gaps and blind spots. It generates article topics by type — comparisons, guides, FAQs, case studies — and writes expert-level articles with deep industry knowledge and built-in GEO signals. Upload reference materials (PDF, DOCX, XLSX) to ground the article in your real data. Select a target publication — the system automatically profiles its editorial guidelines and adapts tone, structure, and formatting. Niche platform discovery finds industry-specific sites where your content will have the most impact.

07

Hypothesis testing with statistical proof

Turn any recommendation into a testable hypothesis: "Publishing on this platform should increase my visibility by X%." After the next monitoring cycle, the system compares before and after using statistical analysis and gives a clear verdict — confirmed, refuted, or too early to tell. Real proof based on your data, not guesswork.

08

AI traffic pixel: revenue from 12 AI sources

A lightweight script detects every visitor from ChatGPT, Perplexity, Gemini, Grok, and 8 more AI sources. You see which engines drive traffic, which pages convert, and which sources generate actual revenue. The pixel uses first-party cookies (_arpai_vid, _arpai_src) together with referrer and UTM signals to identify AI traffic sources. It is not a cross-site advertising tracker. Website owners deploying the pixel are responsible for any cookie consent required in their region.

Key Concepts: GEO, AEO & AI Visibility

The terminology behind the shift from search rankings to AI recommendations

GEO — Generative Engine Optimization

The practice of optimizing your brand's presence in AI-generated answers. When a user asks ChatGPT "best CRM for small business," GEO determines whether your brand appears in the response. Unlike SEO, which competes for link positions, GEO competes for direct AI recommendations — a fundamentally different ranking mechanism based on training data, citations, and real-time retrieval.

AEO — Answer Engine Optimization

The discipline of structuring your website content so AI engines can extract, understand, and cite it. AEO focuses on schema markup, FAQ formatting, clear entity definitions, and authoritative sourcing — the technical signals that make AI engines trust and reference your content. Where GEO asks "does AI recommend me?", AEO asks "can AI even read and cite my website?"

Share of Voice (SOV) in AI

A metric measuring how often AI engines recommend your brand versus competitors across a set of queries. ARPAI GEO calculates SOV by sending 15 targeted queries across 8 buying-intent angles (informational, transactional, comparison, local, etc.) to each AI engine. If your brand appears in 8 of 15 ChatGPT responses, your ChatGPT SOV is 53%. Tracked per engine, per country, per language.

AI Visibility

The aggregate measure of your brand's presence across all AI engines, locations, and query types. AI visibility combines Share of Voice, sentiment (positive/neutral/negative), citation rate (how often AI links to your website), and competitive positioning. High AI visibility means that when customers consult AI before making a purchase decision, your brand is consistently recommended.

GEO Platform vs Traditional SEO Tools

Why standard SEO tools don't cover AI visibility

Capability Traditional SEO Tools ARPAI GEO
Monitor AI engine recommendations ✗ ✓ 8 engines
Share of Voice in AI ✗ ✓ Per engine & location
Track AI-driven traffic & conversions ✗ ✓ 12 AI sources
AI-specific content optimization ✗ ✓ Strategy + Content Engine
Multi-language, multi-country Limited ✓ 72 countries, 44 languages
Google keyword rankings ✓ Not the focus
Backlink analysis ✓ ✗
Pricing model $99–398/mo subscription $12 per run, no subscription

ARPAI GEO and traditional SEO tools serve different purposes. SEO tools optimize for Google search rankings; ARPAI GEO optimizes for AI engine recommendations. Many businesses need both.

Pay Only For What You Use

No subscriptions. No annual contracts. Balance never expires.

Market Average

$99-398
per month, billed annually
  • 25-125 queries/month limit
  • 3-4 AI engines only
  • Annual contract required
  • Per-seat pricing
  • Unused credits expire

ARPAI GEO

$12
per monitoring check
  • All major AI engines simultaneously
  • 15 queries × 8 buying intents
  • No subscription needed
  • Unlimited team members
  • Balance never expires
View Full Pricing →

Frequently Asked Questions

What is GEO (Generative Engine Optimization)?+
GEO (Generative Engine Optimization) is the practice of optimizing your brand's presence in AI-generated answers. Unlike traditional SEO which focuses on search engine rankings, GEO targets the recommendations that AI engines like ChatGPT, Perplexity, and Google AI Overviews give when users ask questions about your market. GEO is a developing subdiscipline of SEO with its own target variable — Citation Rate — measuring how often AI systems cite your brand.
Which AI engines does ARPAI GEO monitor?+
ARPAI GEO monitors 8 major AI engines simultaneously: ChatGPT (OpenAI), Perplexity AI, Google AI (Gemini), Google AI Overviews, Google AI Mode, Grok (xAI), Microsoft Copilot (Microsoft), and You.com. Each engine has different training data and recommendation logic, so the same query can return completely different brand recommendations across engines.
How much does ARPAI GEO cost?+
Pay-as-you-go with no subscriptions or annual contracts. Brand and product monitoring: $12 per run, including 15 queries across all 8 AI engines. Other operations: articles $6, strategies and audits $3–$5, chatbot $0.50. AI Traffic Pixel is free. Minimum top-up $25. Balance never expires.
How do I get started?+
Register with your email, create a project by entering your website URL, add your target country and language, and launch your first monitoring run. Within 3–5 minutes you’ll see your Share of Voice, Visibility Score, Citation Rate, Sentiment, and full competitor rankings across all 8 AI engines.
What is the difference between GEO and traditional SEO?+
SEO optimizes for search engine result pages — rankings, snippets, click-through rates. GEO optimizes for AI-generated answers — whether ChatGPT, Perplexity, or Google AI recommend your brand when users ask buying-intent questions. SEO metrics (position, traffic) don’t measure AI visibility. GEO metrics (Share of Voice, Citation Rate, Sentiment) do. Both disciplines work together: strong SEO signals help AI engines trust your content, and GEO ensures that trust translates into recommendations.

Your brand is either recommended by AI — or it's not.
Find out now.

Full monitoring in under 5 minutes. From $12. No subscription.

Check Your Brand — $12

Built for Real Market Data

The platform behind the metrics

Coverage

8 AI engines monitored simultaneously. 72 countries from the US and UK to Japan and Brazil. 44 languages including English, Spanish, German, French, Arabic, Chinese, and Japanese. Each monitoring run sends 15 queries across 8 buying-intent angles — that's 120 data points per AI engine per location.

Methodology

Queries are generated from your real business profile — industry, products, location, and competitive landscape — not generic templates. Each AI engine response is validated by a separate AI model that confirms brand mentions, extracts sentiment signals, and maps competitor rankings. Share of Voice, Brand SOV, and Visibility Score are calculated from verified data.

Full-Cycle Platform

Monitor → Analyze → Optimize → Track ROI. Source analysis identifies where AI gets competitor data. Strategy generation builds an action plan from your monitoring results. Content Engine writes expert articles with GEO signals. Hypothesis testing validates each action with statistical proof. AI Traffic Pixel closes the loop by tracking real conversions from AI recommendations.

Infrastructure

The platform runs on EU-based cloud infrastructure (DigitalOcean, Amsterdam) for low latency and data proximity. AI engine queries are executed in real time — no cached or outdated results. All monitoring data is stored securely and accessible only to the account owner. Contact: welcome@arpai-geo.com