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Start with the decision you want to make. Agent Q, or ChatGPT or Claude connected to IQRush, can help you examine the available measurements from different perspectives and prepare a useful assessment. The examples below are requests you can adapt, rather than a menu of fixed report templates. Each needs relevant project data. A new question about an unmeasured audience or market may require a new project or measurement.

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Choose where to work

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1. Understand the evidence

  • “Is this run stable enough to compare cited domains? Explain rank stability and Domain SNR in plain English.”
  • “Which estimates have wide confidence intervals, and what decisions would need more evidence?”
Useful output: A short assessment of what the current evidence supports. Use the stability assessment for the same scope as the result; a completed run alone does not establish sufficiency.

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2. Compare brands and competitors

  • “Where do competitors appear when we do not? Show the topics and supporting answers.”
  • “Which sources support competitors’ brand mentions but do not support ours?”
Useful output: A competitive visibility brief with topic gaps and supporting sources. Compare the same run, platform selection, and measure.

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3. Examine distribution channels

  • “Which retailers and distributors appear among the cited sources for our category? Show the URLs and which brands they support.”
  • “Where is our visibility carried by our own website, retail partners, or other publishers? Flag sources whose role is unclear.”
Useful output: A channel visibility assessment for a commercial or partner team. Classifying a domain as a retailer or distributor may need a review of that source. Citation visibility does not measure channel sales.

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4. Plan influencer and publisher outreach

  • “Which cited sources are creator content, publications, videos, or communities? Identify the author or creator where the source provides one.”
  • “Build an outreach shortlist from those sources. Show the evidence for each choice and what we still need to research.”
Useful output: An evidence-backed outreach shortlist. The project supplies cited-source evidence; creator identity and fit may need additional research. Audience reach, engagement, and commercial terms need their own evidence.

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5. Improve e-commerce and product detail page visibility

  • “Which of our product detail pages are cited, and which competing product pages appear in the same topic?”
  • “Compare the available page content with the questions it needs to answer. Suggest the most useful product-page improvements.”
Useful output: A product detail page (PDP) visibility and content review. Use captured or supplied page content. A page absent from the measured citations is not proof that it never appears in AI answers.

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6. Explore financial-services visibility

  • “For the financial services topics measured in this project, which firms appear most often, and what do the answers say about them?”
  • “Compare our visibility across the available customer profiles, such as business owners and finance leaders, and show where evidence is missing.”
Useful output: A financial-services discovery and positioning report. Use customer profiles actually represented in the project; keep different services and audiences clearly identified.

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7. Assess a PE firm through banker questions

  • “For our private-equity firm, how do we appear in the measured questions investment bankers ask when identifying potential buyers?”
  • “Which competing firms appear in those answers, and which sources support their positioning by sector or deal focus?”
Useful output: A banker-persona visibility assessment for a PE firm. The project must contain relevant banker questions or an available banker audience profile. Ask for the exact questions included before interpreting the result.

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8. Support commercial diligence

  • “Assess the target company’s AI visibility in its measured market. Where is it strong, and where do competitors appear instead?”
  • “Compare the target’s visibility across the available topics and buyer profiles. Prepare questions for management based on the evidence.”
Useful output: A visibility assessment and management discussion brief. Broader conclusions about demand, revenue, market size, or valuation require additional business evidence.

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9. Follow change over time

  • “What changed between the latest two completed runs? Include the confidence intervals and change assessment.”
  • “Prepare a one-page leadership summary with the main findings, supporting evidence, and three recommended next steps.”
Useful output: A weekly, monthly, or board-ready report for the available measurement dates. At least two comparable completed runs are needed to assess change. Specify the period each time you request the report.

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10. Connect visibility with website outcomes

  • “Using the linked analytics data, summarize visits, conversions, and revenue attributed to AI referral traffic for the selected period.”
  • “Which products received views, add-to-cart events, or purchases from AI-referred visits, and where are tracking gaps?”
Useful output: An AI referral traffic and e-commerce performance report where the required analytics connection and events are available. Match the date range and attribution definition. These records describe tracked referrals; they do not count every visit influenced by an AI answer.

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Turn recommendations into action with Agent Q

These requests use the recommendation or draft you have open in IQRush:
  • “Explain this recommendation, the evidence behind it, and the first practical step.”
  • “Turn this recommendation into a content brief for our audience, with the questions the draft should answer.”
  • “Revise this section to address the missing question. Preserve the facts and show the proposed change.”
  • “Summarize this technical recommendation for our web team, including what they should verify after implementation.”
Use Agent Q’s content controls to review and apply proposed revisions. For a connected assistant, supply the relevant material when it is not available through the connection.

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Give the report a clear brief

Include four things: the project and run, the business question, the audience, and the format. You can start with:
Use the latest completed run for [project]. Prepare a one-page [focus area] report for [audience]. State the run date and filters. Summarize the main findings, include supporting measurements and sources, and recommend three next steps. Explain stability, signal-to-noise, and uncertainty where relevant. Identify missing evidence and separate findings from recommendations.
For a comparison, name both runs or dates. For an audience assessment, ask which audience profiles and prompts are available first. Decision-grade reporting keeps the connection between the question, the measurement, and the conclusion visible. A different perspective should use the evidence at its actual scope and make any need for further measurement clear. Next: Open Agent Q, connect ChatGPT or Claude, or understand results and uncertainty.