Free AI Prompt Tracker

Free AI Prompt Checker.

More and more people are using AI search like ChatGPT, Google AI, and Claude to find answers, compare products, and make purchasing decisions. This opens new opportunities for brands to increase their visibility and create new touchpoints with their audience. Being part of AI answers helps establish brand recognition and drive product discovery.

Update: supporting ChatGPT 5.6 and Google Gemini 3.8

How to use our free AI prompt tracker

We now also support Location and Domain name inputs (optional fields). Use the location field to get relevant results based on the geographic location of your target audience. The Domain Name field gives the tool more control over how it identifies and extracts URL information from the results.

• Enter your prompt
• Enter your brand name
• Enter your location (optional)
• Enter your domain name (optional)

How to keep track of visibility in AI search?

Our prompt tracker is designed to remove personalization and run prompts simultaneously across multiple AI models (Currently supporting ChatGPT & Gemini). Enter your prompt and your brand name to discover whether your brand is being mentioned or cited in the model’s answer. Apart from your own visibility, you can also uncover your most dominant competitors in AI search. Perform multiple prompt checks per week to track your brand’s progress in AI search.

Prompt tracking data

After running a successful prompt, the tool will return these insights:

• Summary ↴
  • Visibility across platforms
  • Total number of mentions
  • Total number of citations
• Model specific data ↴
  • Mentions
  • First position (measured in characters)
  • The linked citations extracted from the AI answer

What is the difference between AI and regular search?

When performing a search with AI, LLMs often combine and synthesize information from multiple sources into a single answer. This means that compared to regular search, not every source used to create the answer is mentioned or attributed.

For this reason, AI search is significantly harder to track. On top of that, personalization and conversation context can strongly influence the answers generated by LLMs, making results more dynamic and less consistent across users and sessions.

Why use an AI prompt tracker?

Prompt tracking tools help eliminate these variables by isolating prompts from prior context and personalization signals, providing a more consistent and objective view of the model’s response. A prompt tracker can help discover your visibility in AI search and reveal which brands are being favored in your industry.

What variables can impact an AI-generated answer?

• Model/platform: different AI models (ChatGPT, Perplexity, Claude, etc.) weigh sources differently
• User context: location, device, prior conversation, or personalization signals
• Prompt phrasing: how the question is worded or structured

What is the difference between mentions and being cited in AI search?

When an AI answer is generated and mentions your brand or product, it shows the model recognizes you and considers you relevant enough to include. A citation means the model explicitly uses your content as a source for its answer and attributes it. A citation often includes a link or source label, which represents a stronger signal of authority and trust for both the user and the platform.

Tool limitations

• A single prompt check provides limited insights because AI responses may vary slightly from one run to another. For this reason, we recommend running a prompt multiple times.
• Checking a single prompt is not always representative of a real-world AI chat session, where follow-up questions are influenced by previous context and conversations are not limited to a single prompt or question.
• The quality of insights depends on how well prompts represent real user searches. We recommend using our Query Fan-Out Tool to generate a broader set of question and prompt suggestions for a specific topic.
• AI responses are heavily influenced by model updates and version changes. In addition, free and paid users may not always have access to the same AI models, which can lead to different results.