Three Core Approaches That Make Your Brand Easier for AI to Recommend
See the problem, fill in the content, track the results — make AI visibility measurable and visible.
See where your brand really stands in AI answers
Core metrics — brand mentions, visibility, citation rate, and AI sentiment — plus product-level recommendation results tell you how AI sees your brand right now.
Turn conversation insights into traffic-driving content
Analyze real conversations between customers and AI customer service, find the questions they are actually asking, and produce AI-readable, citable GEO articles at scale.
Keep tracking to see what changes after content goes live
Daily tracking of metric trends and competitor movements, covering multiple markets and brands — so results come from visible curves, not gut feeling.
In the Age of AI Search, You May Be Running Into These
Search behavior has changed, but most brands' content strategy is still stuck in decade-old SEO.
Website traffic holds steady, but inquiries keep dropping
AI answers your customers' questions on the spot — they never need to click through to your website. Exposure now happens where you can't see it, and your brand may not be in that answer.
Regularly monitor your brand's mentions, citation rate, and AI sentiment across major AI engines (how is AI talking about your brand?), turning "Is AI recommending me?" from a feeling into numbers.
You've produced plenty of content, but AI never cites a single piece
The blog keeps publishing, the SEO keeps running — yet AI always cites competitors or media instead. You don't know whose content AI is actually reading, so you don't know where you fall short.
Break down the citation sources behind AI answers — see exactly which pages get cited, how many belong to you, and how many belong to competitors and third-party media. Once you know what AI is reading, you know what to write next.
You don't know what to write, so topics get picked on gut feeling
Keyword tools give you the words other people have searched — not the questions your customers are really asking. When topic selection is guesswork, content naturally misses the mark.
Mine insights directly from the real conversations Raccoon AI customer service accumulates every day — the most frequently repeated questions, product comparisons, and pre-purchase concerns — and turn them into content topics that sit closest to customer needs.
Key Results to Date
12 million+
AI-generated responses analyzed
100 million+
AI citation sources
5000+
brands using Raccoon AI GEO
8 markets
Taiwan, Hong Kong, Japan, Singapore, Vietnam, the United States, Europe, and Australia
Diagnose, Generate, Monitor —
Your Brand's AI Visibility Hub
Diagnose
Where your brand stands in AI answers
Five core metrics that turn "Is AI recommending me?" into trackable numbers
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Brand Mentions: how many times AI mentions you in its answers
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Visibility: across all tracked questions, the share where you appear in the answer
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Share of Voice: on the same set of questions, how voice is split between you and competitors
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Citation Rate: which website content AI references when answering — and whether it includes our own articles or the media we operate
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AI Sentiment: when AI mentions you, is it saying something positive or negative?
Go beyond a single brand score — dive into products, platforms, and actual answers. See which product AI recommends, which sources it cites, and when it switches to recommending a competitor. From answers and tone to citation sources, find your brand's share-of-voice optimization gaps in one place.
Generate
Turn real conversations into traffic-driving content
Exclusive to Raccoon AI Service customers
Analyze real conversation logs between customers and AI customer service to extract high-frequency questions and purchase concerns
Generate GEO articles at scale from actual conversations, covering FAQs, product comparisons, and answers to common concerns
Content structured in AI-readable formats to raise the probability of being cited
Ordinary GEO tools can only infer what customers want by working backward from external keywords. Brands that have adopted Raccoon AI Service already hold first-party conversation data — content material that cannot be replicated anywhere on the market. What customers ask today is tomorrow's content.
Monitor
Diagnosis is the starting point; only continuous tracking shows results
Track queries, visibility, and citation trends daily to catch the latest search trends
See when competitors' share of voice starts rising and on which questions they have overtaken you
AI gives different answers across regions and languages — track by region to see the true picture of each market
AI's recommendations are not fixed; they keep shifting with content, seasons, and competitor moves. A one-time diagnosis only tells you where you are now — continuous monitoring tells you where you're heading.
Major AI Platforms, Monitored in One Place
From conversational AI to the AI answer sections of search engines, customers may ask about your brand at any entry point.
Paired with custom Prompts/Queries and region-tracking settings to fit your actual markets and audiences.
Trusted by Brands and Agencies, Standing Out in AI Search
How Does Your Brand Score in AI's Eyes Right Now?
An AI team serving five markets and 400+ brand clients
Raccoon AI has expanded into five major markets — Taiwan, Japan, Singapore, Thailand, and Korea — serving more than 400 brand clients. We process tens of thousands of real customer conversations every day, and that is Raccoon AI GEO's most unique content source.
