Report AI visibility to the board

What does the board need to decide?

Begin with a decision such as whether to fund a correction program, continue a pilot or expand measurement into a market. Select evidence relevant to that decision. A board pack overloaded with every available score can obscure the one wrong claim affecting procurement.

Use a concise main page and retain the detailed evidence ledger as an appendix so questions can be answered without changing the story.

Separate three layers: work completed, observed answer behavior and business outcomes. Work might include an approved specification update. Answer behavior might include a corrected availability statement in a fixed test. Business evidence might include attributed site sessions and qualified inquiries. A completed article and a crawler request do not belong in a revenue column.

Which comparisons belong on the main page?

Show the same metric under comparable conditions at each date. Include the exact event definition, prompt-set version, engines, language, interface and repeat count. If coverage changed, mark the break clearly in the chart and its explanation. For the Rankfor Index, retain the product’s component context; do not rename a custom worksheet’s mention rate as the Index.

An illustrative board row could say “four of ten eligible answers recommended the fictional Northstar service at baseline; six of ten did so in the later test.” That is a two-answer observed difference. It does not establish a population-wide twenty-point gain or prove the content campaign caused it.

Keep failed requests and scoring disputes available for inspection, alongside any material error that appeared only once.

How do you prepare the product evidence?

In Rankfor, inspect Rankfor Index for the chosen completed scans. For custom buyer questions, retain separately run Answer Trail results. A Dice Roller Test can help investigate a particular answer’s variation, using the current one-to-ten repeat control. The sampling-method paper explains why repetition should follow the question and uncertainty requirement.

Open account-level Reports. Choose New report for the intended project, or inspect the existing report. Review project, engines and dates, then use the available PDF, Markdown or CSV export. Check the actual file before putting it in the board pack.

An exported report is supporting evidence; your executive narrative still needs to explain the decision and the limits. Public playbooks provide further workflow examples.

What should the recommendation say?

Describe the next action and its acceptance condition. For example: approve a documented pricing correction, then test whether the wrong statement continues under the preserved conditions. If the decision concerns growth, include the organization’s analytics and CRM evidence for the leads and outcomes being reported. Assign an owner and a review date.

List competing explanations briefly: product changes, other publishing, provider changes and altered samples can affect results. A control or stronger evaluation design may be needed before attributing lift. Three improving snapshots remain observations. A credible pack can recommend continuing a useful correction program while saying that incremental commercial return is still unestablished.