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IQRush helps you measure how your brand appears in AI answers and decide what to work on next. Its goal is decision-grade measurement: evidence that is sufficiently stable and precise to support the decision you are making. AI answers can vary, even when the question stays the same. IQRush brings prompt-set checks, results stability, signal-to-noise, and confidence intervals into the workflow so you can judge the strength of the evidence alongside the result. A project holds the brand, website, topics, and AI engines you want to measure. A run is one measurement of that project. A workspace groups projects for a brand, client, or team.

Find your project

After signing in, use the workspace selector at the top left. Then use the project selector beside it to open your project. Check both names before you review results or write content. If you have been invited but cannot find a project, check that you are using the invited account and the correct workspace. Your workspace administrator can check your access.
Colorescience project overview with project selectors, navigation, and result cards.

The workspace and project selectors are at the top. The left menu takes you from results to actions.

Explore with an assistant

Start with a question in Ask the agent on Overview, your project’s summary page. Agent Q is also available from the Agent button on supported project pages, with a right-hand panel beside your work. Your saved discussions remain available through its conversation controls. Prefer to work in ChatGPT or Claude? Connect your chosen assistant through IQRush’s MCP connection and select your project. Both approaches let you explore the available IQRush measurements, ask follow-up questions, and request an assessment for your team. The two guides follow the same steps: start, set the context, ask, use the answer, check the evidence, and continue. Try the question and report gallery for competitive, channel, product, financial-services, and other perspectives. Ask the assistant to preserve IQRush’s decision-grade checks: stability and signal-to-noise for rankings, confidence intervals for estimates, and the change assessment for comparisons. Keep the measured findings and proposed actions clear.

Follow this path

  1. Set up what you want to measure. Create a project, choose your topics, and review the prompts.
  2. Complete a run. A run collects the results used throughout the project. Manage runs.
  3. Check the evidence, then read the results. Start with Overview, then open Citations to check Results stability, Domain SNR, and the confidence intervals. Explore Mentions or Sentiment for the questions that matter to you.
  4. Choose a useful next action. Recommendations explains the work and the supporting evidence.
  5. Prepare and improve content. Review the brief, write in Content Playground, and check the draft.
  6. Put the change into use. Publish through your normal website or publishing process. Record the completed recommendation, then check a later run.
You can return to any step. You do not need to understand every chart before choosing your first task.

About the examples

These guides use Colorescience – United States – Mineral Sun Protection. Its results, recommendations, and saved content illustrate the controls. Your project will have its own topics, numbers, and available actions. The setup screenshots show an unlaunched walkthrough; they do not reproduce every setting in the existing project. Next: Create a project, or understand your results if your project already has a completed run.