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Watch “Welcome to Peec AI” on YouTube Your audience isn’t just using Google anymore. They’re asking ChatGPT or Gemini for product recommendations, using Perplexity for research, getting answers from Claude, 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. Peec AI shows you how your brand appears in AI search, and what you can do to influence your visibility.

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What you’ll find in these docs

  • Get started: You’ll get actionable insights about your AI visibility within your first week. First, you’ll understand exactly what Peec AI tracks and how it differs from traditional search. Then the quickstart guide walks you through your first setup, from creating prompts that mirror the real questions users ask AI to identifying the right competitors and understanding your first results.
  • Set up your project: Learn how to craft effective prompts for your industry, organize your tracking system with tags and topics, and identify which competitors to watch. This is where you build everything you need to start collecting meaningful data.
  • Interpret your results: Once your prompts are running, you’ll see visibility data, position trends, and sentiment patterns. This section shows 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, Peec AI generates 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 video walkthroughs, metric definitions, and navigation guides. If you just need a fast answer or want to see a process in action, start here.

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What Peec AI does

Peec AI tracks how your brand appears when people ask AI platforms questions about your industry. Instead of traditional search rankings, it measures three things that matter in AI search: how visible your brand is, what position you 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.
  • Position: Measures where you rank when you do appear, compared with other brands.
  • Sentiment: Captures whether AI describes your brand positively, neutrally, or negatively when it mentions you.
Read more about the three main metrics, Visibility, Sentiment and Position.
The basis for all these metrics is 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 respond.

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How Peec AI collects data

Peec AI runs your prompts across AI platforms like ChatGPT, Gemini, and Copilot daily, then analyzes 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 converse with AI tools. Unlike traditional analytics tools that rely on APIs, Peec AI uses UI scraping technology to interact with AI platforms exactly as real users do. This approach has several advantages:
  • Authentic user experience: Peec AI interacts with AI platforms through their web interfaces, capturing the same responses users see.
  • Real-world accuracy: The data reflects actual user experiences, not sanitized API responses.
  • Comprehensive coverage: Peec AI can reach platforms that don’t offer public APIs or have limited API functionality.
Peec AI’s UI scraping simulates real user interactions, so the data it collects matches what the average user sees on these AI platforms. For most platforms, this means the platform decides which model to use and whether it runs a web search. This is the reality for a logged-out user, and the approach closest to the average user’s experience.

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Technical approach: UI scraping vs API access

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Why we don’t use APIs

Most AI analytics tools rely on official APIs, but that 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 in API responses can differ from those shown to real users.

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Our UI scraping advantage

Instead of APIs, Peec AI uses browser automation to interact with AI platforms through their web interfaces:
  • Real user simulation: Peec AI uses the same interfaces your customers use, so the data reflects what real users see.
  • Consistent data quality: Every interaction follows the same user journey as a real user.
  • Resilient to API changes: Because Peec AI doesn’t depend on official APIs, it keeps working when those APIs change or restrict access.
This approach means your visibility data reflects the real user experience, not a filtered or modified API response.

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How Peec AI helps

Peec AI shows you 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. The analysis goes beyond basic mentions: you can filter by time period, compare multiple competitors, and access all your data through exports, the Data Studio connector, and the API for custom analysis or integration with your existing analytics stack. Peec AI 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.