What you’ll find in these docs
- Get started: Here, we’ll guide you through setting up your first prompts, tracking competitors, and understanding the three core metrics that drive AI search performance.
- Set up your project: Learn how to identify the prompts your customers actually use, organize them with tags, and understand how sources and citations influence AI responses.
- Understanding your metrics: We break down exactly what Visibility Score, Share of Voice, and Average Position mean for your business so you can spot trends and see where you stand against competitors.
- Take action: Turn your data into a prioritized list of specific tasks using Optimization Plans. Instead of wondering what to do next, you’ll get clear recommendations like which websites to target for mentions and what content needs updating.
What Amadora AI does
We reverse-engineer AI responses to show you exactly when your brand appears, how you’re being described, and which websites AI platforms are pulling information from. Here’s what we track:- Visibility Score measures how often your brand gets mentioned when AI answers questions in your industry. If your visibility is 45%, it means you appear in 45% of the AI responses we’re tracking for you. Higher is better.
- Share of Voice compares your mentions against competitors. If you have 20% share of voice, it means competitors are getting mentioned 80% of the time. This tells you how much of the conversation you’re capturing.
- Average Position shows where you typically rank in AI responses when you do get mentioned. Position 1.0 means you’re the first brand mentioned. Lower is better.
- Sources and Citations are the foundation of everything. These are the actual websites, articles, reviews, and pages that AI platforms reference when they talk about your industry.
- Actions turn your optimization data into a prioritized, step-by-step to-do list. Instead of guessing your next move, you receive specific tasks—like updating existing content, filling content gaps, or fixing missing information—that directly improve your AI visibility.
How Amadora AI works
Everyday, we run your prompts across ChatGPT, Perplexity, and Google AI Overviews. We capture the responses, analyze them, and update your dashboard automatically. We use UI scraping technology to collect data. Instead of using backend APIs, we interact with AI platforms exactly like a real person would—opening the interface, entering questions, and reading responses. We’re simulating thousands of actual user sessions to capture authentic data. This matters because API responses often differ from what real users see. By using the same interface your customers use, you get the real story.Why UI scraping gives you better data
Most analytics tools use APIs because they’re simpler. We chose UI scraping because it’s more accurate. The problem with APIs:- Modified responses – What you get from an API often doesn’t match what shows up in the actual interface
- Limited availability – Many platforms don’t offer APIs, or they restrict access to key data
- Frequent changes – When platforms update their APIs, tools break until developers catch up
- Authentic data – We automate real browser sessions that behave exactly like a person using ChatGPT or Perplexity
- Complete coverage – We can track any platform with a web interface, regardless of API availability
- Future-proof – As long as the web interface works, our tracking works
