Skip to main content
Your audience isn’t just using Google anymore. They’re asking ChatGPT or Claude for product recommendations, using Perplexity for research, getting answers from Grok, and using AI Mode to learn about topics and compare options. People are having conversations with AI instead of searching with keywords. This means visibility works differently now. Meridian shows you how your brand appears in AI search, and what you can do to influence your visibility.

Meridian Demo Video

​
What you’ll find in these docs

  • Get started: We’ll help you get actionable insights about your AI visibility within your first week. First, you’ll understand exactly what we track and how it’s different from traditional search. Then, our quickstart guide walks you through your first setup — from creating prompts that mirror real questions users ask AI to identifying the right competitors and understanding your first results.
  • Set up your project: You’ll learn how to craft effective prompts for your industry, organize your tracking system with tags and categories, and identify which competitors you should be watching. This is where you build everything you need to start collecting meaningful data.
  • Interpret your results: Once your prompts are running, you’ll start seeing visibility data, position trends, and sentiment patterns. This section teaches you how to analyze your data to spot real opportunities — from understanding chat details to reading graph trends over time.
  • Take action: Based on your visibility data, Meridian will generate specific suggestions to improve your results — like recommending which publications to reach out to, identifying content gaps to fill, or highlighting sources where a mention could boost your visibility.
  • Miscellaneous: Quick access to dashboard navigation and video walkthroughs. If you just need a fast answer or want to see a process in action, start here.

​
What Meridian does

We track how your brand appears when people ask AI platforms questions about your industry. Instead of traditional search rankings, we measure key things that matter in AI search: how visible your brand is, what position you typically appear in when mentioned, and how positively you’re described.
  • Visibility shows how often your brand gets mentioned across AI responses. Think of it like market share in AI conversations.
  • Share of Voice tracks how much of the conversation you own.
  • Prominence measures where you rank when you do appear (compared to other brands).
  • Sentiment captures whether AI models describe your brand positively, neutrally, or negatively when they mention you.
The basis for all these metrics are Sources; the websites, articles, and other content that AI models reference when they mention brands. When you see changes in your visibility or position, it’s often because new sources have started mentioning you, or existing sources have changed how they talk about your category. Sources are your best opportunity for improvement because they influence how AI models actually respond.

​
How Meridian collects data

We run your prompts across AI platforms like ChatGPT, Gemini, and Perplexity daily, then analyze patterns over time since AI responses naturally vary day to day. These prompts are conversational questions like “What’s the best CRM for marketing agencies under 50 people?” instead of keywords like “CRM software.” This matches how people actually talk to AI tools. Unlike traditional analytics tools that rely on APIs, Meridian uses advanced UI scraping technology to interact with AI models exactly as real users do. This approach provides several key advantages:
  • Authentic user experience: We interact with AI models through their web interfaces, capturing the same responses users see.
  • Real-world accuracy: Our data reflects actual user experiences, not sanitized API responses.
  • Comprehensive coverage: We can access models that don’t offer public APIs or have limited API functionality.
Our UI scraping technology simulates real user interactions, ensuring the data we collect matches what the average user sees when they use these AI tools.For most AI platforms, this means that they decide which model to use and if they perform a web search or not. This is the reality for a logged-out user and the approach that’s closest to the average user’s experience.

​
Technical approach: UI scraping vs API access​

Why we don’t use APIs: Most AI analytics tools rely on official APIs, but this approach has key limitations:
  • Different responses: API responses often differ from what users see in the actual interface.
  • Different sources: The number and type of sources used in API responses can be different from those shown to real users.​

​
Our UI scraping advantage

Instead of APIs, Meridian uses sophisticated browser automation to interact with AI models through their web interfaces:
  • Real user simulation: We use the same interfaces your customers use, ensuring 100% authentic data.
  • Consistent data quality: Every interaction follows the same user journey as real users.
  • Future-proof: Our approach works regardless of API changes or restrictions.
This technical approach ensures that your visibility data reflects the real user experience, not a filtered or modified API response.

​
How Meridian helps

Meridian shows you exactly where you stand in AI search and what you can do about it. You can track your visibility trends over time, spot when competitors gain ground, and identify the specific sources that influence AI responses in your industry. Our analysis goes beyond basic mentions: you can filter by time periods, compare multiple competitors, and access all your data through exports for custom analysis or integration with your existing analytics stack. Meridian helps you:
  • Track AI visibility: See when you’re mentioned in relevant conversations across different AI models.
  • Monitor competitors: Understand who else appears in your space and how often.
  • Find citation opportunities: Discover which sources AI models trust and reference.
  • Spot content gaps: Identify when you’re cited as a source but not mentioned as a brand.
  • Track trends over time: Monitor how your visibility changes as AI models evolve or you adapt your strategy.
  • Make data-driven decisions: Use probability-based insights for your strategy.