Measuring Brand Visibility Across Google and AI Search with Trackee

Trackee is an SEO and AI Visibility API that lets you measure where a brand appears across Google search and major AI models. Search is changing quickly. People still use Google to find products and services, but they are also asking ChatGPT, Claude, Gemini, and Perplexity for recommendations before they ever visit a website.

That creates a new visibility problem for brands. Traditional SEO tells you whether you rank for a keyword, but it does not tell you whether an AI model recommends your brand when someone asks a similar question. Trackee brings both types of visibility into one place through a single API.

One API for SEO and AI visibility

Trackee gives developers access to the data they need to monitor both traditional search and AI discovery. Instead of building separate systems for Google rankings and AI visibility, you can use one access key and one API to run different types of checks.

With Trackee, you can:

• Check Google rankings for keywords
• See whether a brand appears in Google AI Overviews
• Check brand mentions across major AI models
• Research keywords and generate new ideas
• Find competitors in Google search results
• Track where and how often a brand is mentioned

The responses come back as clean, typed JSON, making the data easy to use inside applications, dashboards, and automated workflows.

Checking how AI models see a brand

The AI visibility check is useful when you want to understand what happens after someone asks an AI model for a recommendation. Give Trackee a prompt based on a product category, comparison, or use case, and it can check whether your brand appears in the response.

The result shows whether the brand was mentioned, where it appeared in the answer, and which sources the model cited. This gives you more than a simple yes or no. You can start looking at which prompts mention your brand, how you compare with competitors, and which sources influence the answers.

Built for developers and SaaS products

Trackee is designed to work as infrastructure inside other products. A SaaS builder can use its API to add SEO and AI visibility features without having to build and maintain the underlying scraping and proxy systems.

For example, a marketing platform could let customers track Google rankings and ChatGPT mentions from the same interface. A developer could also build a brand monitoring product around Trackee or add keyword and competitor research to an existing application.

Webhooks and a client library are available for integrating Trackee into different workflows, while the cost of each request is included in the response so developers can keep track of usage.

How it works

Getting started with Trackee is simple. After signing up, you get an access key that you can use with the API through the x-access-key header. If you are working with an AI agent, you can connect an MCP client to mcp.trackee.dev instead.

From there, you send a request for the data you need. For example, you can provide a prompt and ask whether ChatGPT recommends your brand. Trackee returns the brand mention, its position in the response, and the sources cited by the model. You can also send a keyword to check its Google ranking and AI Overview presence, or provide a seed keyword to receive ideas with search volume, CPC, and intent.

The results follow a consistent JSON structure, so the same data can be used directly in your own product or workflow.

Useful for AI agent workflows

Trackee can also be used directly by AI agents. Its hosted MCP server and Trackee skill allow an agent to call the available endpoints as tools.

This means a user can ask an agent questions such as “How is our brand doing in ChatGPT this week?” or “Who outranks us for best CRM software?” The agent can make the relevant requests, read the results, and explain what it found without requiring the user to open multiple dashboards.

This makes Trackee useful beyond traditional SEO tools. Its data can become part of an agent that handles research, monitoring, reporting, or other marketing tasks.

From individual checks to visibility trends

Trackee does not have to stop at one-off searches. When you run a check against a saved brand, it stores a snapshot. Over time, those snapshots build a history of how your visibility changes.

You can query and filter that history by brand, engine, and date. You can also pull timelines showing metrics such as mention rate and average position for each AI engine.

This makes the data more useful over time. A single ChatGPT answer can tell you whether you were mentioned once. A history of those answers can show whether your brand is becoming more visible and whether changes in your strategy are actually making a difference.

Measuring the wider search landscape

SEO is no longer only about where a website ranks on Google. Brands now have another surface to monitor as people increasingly use AI models to discover products, compare options, and ask for recommendations.

Trackee gives developers and teams a way to measure both sides. With one API, they can check Google rankings, AI visibility, AI Overview presence, keywords, competitors, and brand mentions, then track those results over time.

For anyone building tools around search, marketing, or AI agents, Trackee provides a way to understand not just where a brand ranks, but where it gets recommended.

Website | https://www.trackee.dev/