The world has changed. AI now decides who gets recommended
Millions of people ask ChatGPT, Perplexity, and Google AI every day: "What's the best service?", "Where should I order?", "What should I choose?" And AI answers. But does it mention your brand?
Imagine this scenario
A potential customer asks ChatGPT: "Best companies in your niche in New York". AI lists 5 companies. Yours isn't among them. The customer goes to a competitor without ever learning you exist. This is happening right now, hundreds of times a day.
Invisibility = lost customers
If AI search engines don't know about your brand, you're losing a growing stream of customers. Every month this stream gets larger — people increasingly trust AI over traditional search.
ARPAI GEO — your eyes in the AI world
The platform shows you the precise picture: how each AI engine sees your brand, who it recommends instead, and what you need to do so AI starts recommending you.
Three AI engines. One control panel
ARPAI GEO simultaneously monitors all the key global AI search engines. You see the complete picture without switching between platforms.
Why all three?
Each AI search engine generates recommendations differently. ChatGPT may praise your brand while Perplexity ignores it. Google AI may show you for some queries and not for others. Each engine is trained on different data and provides a completely different picture.
Monitoring just one engine is like looking at the market with one eye. ARPAI GEO gives you panoramic vision.
ChatGPT & Perplexity
Global leaders of AI search. Tens of millions of daily users. Your customers are already asking them about you.
Google AI
AI-powered answers are built right into Google Search. If AI doesn't mention you, traditional SEO alone won't save you.
Monitoring: an X-ray of your AI visibility
Launch an analysis — and within 3 minutes you'll know what each of the 3 AI engines says about your brand across dozens of queries.
Geolocation matters
AI answers differ by region. Create monitoring locations for each city you operate in — New York, London, Berlin — and see the real picture for each market separately.
Brand + Non-brand queries
Brand queries check whether AI knows your brand. Non-brand queries check whether AI recommends you without a direct mention. This is the key indicator: does AI recommend you to people who haven't heard of you yet?
Custom queries
Add queries that your real customers ask AI. Find out exactly what AI answers to those specific questions. Full control over what you monitor.
Trends over time
Regular monitoring runs build charts. See how your actions impact AI visibility. Published an article — SOV grew. A competitor updated their site — their share changed. Everything on the chart.
How it works behind the scenes
The system simultaneously sends dozens of queries to all 3 AI engines, collects responses, analyzes every brand mention, classifies type and sentiment, calculates metrics, and generates a detailed report. All automatically. All within 3 minutes.
Metrics that define your position in the AI market
Not just data — levers of control. Each metric shows a specific aspect of your AI visibility and points to where you should act.
💡 Why Non-brand SOV matters more than Brand SOV
Brand SOV shows whether AI knows your brand. That's important, but predictable — if someone searches for you by name, AI will likely respond.
Non-brand SOV is a different story entirely. It measures whether AI recommends you to people who don't even know you exist. They ask: "Best delivery service in New York" — and AI either names you or it doesn't. High Non-brand SOV = AI works as your free sales rep, recommending you to hundreds of potential customers every day.
📊 Per-engine breakdown — a strategic advantage
See SOV separately for each of the 3 AI engines. If ChatGPT recommends you at 35% while Perplexity shows 2%, you know exactly where to strengthen your presence. Each engine draws from different data sources, and the strategy for each may differ.
📈 TOP-20 sources: your influence map
The system shows the 20 websites that AI engines cite most often when answering your queries. This is your influence map — if your brand is represented on these platforms with reviews, articles, and company listings, AI is far more likely to start recommending you.
🔥 AI traffic analytics code — see real people, not bots
ARPAI GEO provides a unique tool: an analytics code for your website that tracks real human visits from AI search engines. The system filters out bots and automated requests — you see only live visits from users who came via recommendations from ChatGPT, Perplexity, and Google AI. The code is embedded in your site with a single line, and is also automatically built into every generated article — you see how many visits each specific publication drove. No other metric in the world shows you this: how many real customers came to you specifically through AI recommendations.
Competitive intelligence: know your AI rivals
AI competitors aren't always the same companies as in traditional search. ARPAI GEO shows who AI actually places alongside you.
🕵 Who does AI consider your competitors
The system automatically extracts all brands mentioned alongside your queries from AI responses. For each competitor, it calculates SOV, mention count, and Confidence Index.
You may discover that AI recommends companies you've never heard of — or that your main offline competitor is virtually invisible in the AI space.
Competitor table includes
Brand — name + clickable website URL
SOV — share of voice (higher = more AI recommendations)
Mentions — exact count in AI responses
CI — AI confidence in recommending the competitor
Strategic value
Competitors with high SOV are your main AI rivals. Study their content, platform presence, and strategy. The system will suggest specific steps to outrank each of them.
GEO Audit: how "readable" is your site to AI
AI search engines extract information from your website to form their answers. The GEO audit reveals how well they can do that.
Content structure
Analysis of text organization on your site: headings, lists, tables, FAQ sections. AI "understands" well-structured content much better.
Technical optimization
Meta tags, schema.org markup, loading speed, mobile version. The technical foundation for AI visibility.
E-E-A-T factors
Experience, Expertise, Authoritativeness, Trustworthiness. Google and other AI engines evaluate these factors when forming recommendations.
AI compatibility
How easily AI search engines can extract key information: about your company, products, advantages, and contacts.
GEO audit = your action checklist
For each category the system assigns a score and provides specific recommendations. Not abstract advice, but precise instructions: what to fix, what to add, what to restructure. Implement the recommendations — run a new monitoring cycle — see your SOV grow on the chart.
Product monitoring: the battle at the product level
Brand monitoring shows the big picture. Product monitoring shows specifics: which exact products AI recommends instead of yours.
Who does AI recommend instead of you
Add your key products or services. The system will show what exactly AI suggests to users: which competing products, from which websites, at what price, and with what reasoning.
Each competing product includes:
- Product name and brand
- Price (if AI mentions it)
- URL to the product listing (verified links)
- AI's reasoning for the recommendation
Essential for e-commerce
For online stores and manufacturers, product monitoring is a direct look at the AI shelf. You see who you compete with not in search results, but in AI recommendations — where a growing number of buyers come for advice.
Promotion: from analytics to action
The Promotion module is a full AI-powered content pipeline that boosts your visibility. Not just reports — tools for influence.
Source analysis
AI identifies the platforms where your brand should be represented: industry directories, catalogs, blogs, forums, and review sites. For each one — a priority level and reasoning for why that specific platform will influence AI recommendations.
Topic generation
Based on your weak spots (queries with low SOV), competitor content, and industry trends, AI suggests article topics. Each topic is tied to a target platform for publishing — you get a ready-made content plan.
Article writing
AI writes full-length SEO/GEO-optimized articles on selected topics. Formatting, headings, lists, tables — everything in place. You can edit the text and send it back for revisions with comments.
Promotion strategy
A comprehensive action plan: content strategy + technical site optimization + work with external platforms + brand strengthening. Each item with priority and expected outcome.
Full cycle without leaving the platform
Analyzed visibility → identified weak spots → received recommendations → found platforms → generated topics → wrote articles → got a strategy. The entire journey from "I have a problem" to "Here's my action plan" — in a single window.
Analytics code: real people, not bots
Monitoring shows what AI says about you. The analytics code shows how many real people actually visited your website through AI recommendations — with automatic bot filtering.
🔥 How it works
Install the analytics code on your site — a single line before the closing tag. The code automatically detects whether a visitor came from an AI search engine (ChatGPT, Perplexity, Google AI), filters out bots and automated requests, and records only real human visits.
📊 What you'll see
- Total AI visits over 30 days — overall traffic flow
- By source — which specific AI brought each user
- Top pages — which site pages receive the most AI traffic
- Article views — the code is automatically embedded in every generated article; see how many visits each specific publication drove
Closing the loop: from AI recommendation to real customer
SOV shows how often AI mentions you. The analytics code shows how many real people (not bots!) visited your site through those recommendations. Published an article — saw SOV increase — saw live traffic grow. The complete chain from AI recommendation to customer.
Security and privacy
The code does not collect personal data, does not use cookies, and does not slow down your site. It records only the visit event, the source (which AI), and the landing page. GDPR compliant.
Get started in 5 minutes
From registration to your first report — a few simple steps. No training needed, no setup, no tech support required.
Sign up
Name, email, verification code, password. 30 seconds. Welcome credits are granted upon registration — enough for several trial monitoring runs.
Create a monitor
Enter your brand name and website URL. The system will automatically analyze your site, determine the company profile, and generate a set of search queries.
Add a location
Specify the city or region you're interested in. Queries will be adapted to the specific location — AI answers depend on geography.
Launch monitoring
Press one button. Within 3 minutes you'll receive a full report: SOV across 3 engines, competitors, mentions, and recommendations. First impressions guaranteed.
Take action
Use the recommendations, the promotion module, and the GEO audit. Publish articles, optimize your site, build your presence on key platforms. Track your SOV growth.
A complete arsenal in one platform
ARPAI GEO combines tools that previously required manual effort and multiple disconnected services.
| Capability | ARPAI GEO | Manual |
|---|---|---|
| Monitor 3 AI engines simultaneously | ✓ | ✕ |
| Automatic competitor detection in AI | ✓ | ✕ |
| SOV and Confidence Index calculation | ✓ | ✕ |
| GEO site audit for AI optimization | ✓ | ✕ |
| Product monitoring (what AI recommends instead of you) | ✓ | ✕ |
| Automatic platform analysis for content placement | ✓ | ✕ |
| AI-powered topic and article generation for GEO promotion | ✓ | ✕ |
| AI traffic analytics: real people, no bots | ✓ | ✕ |
| Promotion strategy with priorities | ✓ | ✕ |
| Visibility trends over time | ✓ | ✕ |
| AI chatbot for questions and navigation | ✓ | ✕ |
GEO/AEO Glossary
Key terms for brand monitoring in AI search engines
GEO (Generative Engine Optimization)
Optimizing brand presence in the responses of generative AI search engines. Unlike SEO, where the goal is a position in a list of links, in GEO the goal is to be recommended in the AI's text response. Works with entities, expertise signals, and structured data.
AEO (Answer Engine Optimization)
Optimizing content to receive direct answers from AI systems. AEO focuses on making your site content a source that AI search engines cite when answering user questions. Closely related to GEO, but emphasizes answer format.
Share of Voice (SOV)
The share of AI search engine responses that mention your brand. Brand SOV — for queries containing your brand name. Market SOV — for general queries without mentioning your brand. Higher SOV = AI recommends you to users more often.
Visibility
The percentage of AI search engine responses that mention your brand in any context — recommendation, listing, comparison. The metric is calculated separately for each of the 3 AI engines for detailed analysis.
Citation
The percentage of AI search engine responses that contain a direct link to your website. High citation means AI doesn't just mention your brand but actively directs users to your resource. A key metric for evaluating AI-driven traffic.
Confidence Interval (CI)
A statistical measure of metric accuracy. ARPAI GEO uses the Wilson Score method for CI calculation. A narrow interval indicates high reliability; a wide one means more data is needed.
Brand Mentions
The presence of your brand in an AI search engine response. Each mention is classified: direct (by name) or indirect (by description), with position (top/middle/bottom) and sentiment (positive/neutral/negative).
E-E-A-T
Experience, Expertise, Authoritativeness, Trustworthiness — the factors by which AI search engines evaluate sources. Sites with high E-E-A-T are cited more frequently in AI responses. Includes: company experience, author expertise, domain authority, and information reliability.
Sentiment
The emotional tone of your brand mention in an AI response: positive (recommends, praises), neutral (simply lists), negative (criticizes, warns). ARPAI GEO determines the sentiment of each mention individually.
Position
Where your brand is mentioned in the AI search engine response: Top (first third — maximum attention), Middle (central part), Bottom (end of response). A top-third position correlates with higher click probability and user trust.
GEO Monitoring vs SEO Monitoring
Why classic SEO tools can't see AI search engines
| Parameter | GEO (ARPAI GEO) | SEO (Ahrefs, SEMrush) |
|---|---|---|
| What it analyzes | Text responses from AI search engines | Link positions in Google/Bing SERP |
| Output format | Generated text with recommendations | List of 10 links |
| Data sources | ChatGPT, Perplexity, Google AI | Google SERP, Bing SERP |
| Key metric | Share of Voice — share of AI recommendations | Search position (1-100) |
| Sentiment | Analysis: positive, neutral, negative | Not measured |
| Mention context | Recommendation, comparison, warning | Only presence in SERP |
| Competitors | Who AI recommends instead of you | Who ranks higher in SERP |
| Optimization | E-E-A-T, Schema.org, entities, content | Keywords, backlinks, page speed |
| AI traffic | Tracking visits from AI search engines | Cannot see AI traffic |
| Product monitoring | What AI recommends to buy | No |