AI visibility reporting gets complicated fast. Your executive report shouldn’t be.
Open an AI visibility platform, like Semrush, and you can quickly find yourself looking at visibility scores, mentions, citations, cited pages, competitors, platforms, prompts, topics, and sources.
Those metrics matter to the marketing team, but your CMO needs something different. They need to know:
- What changed?
- Why does it matter?
- What should we do next?
That is the filter I use when turning my AI visibility data into an executive-ready report for clients.
My goal isn’t to squeeze a dashboard onto a slide. It is to turn the data into a one-slide story that leads to a decision.
Download the Exec-Ready AI Visibility Report Template.
What Is an AI Visibility Report?
An AI visibility report shows how frequently and where a firm appears in AI-generated search results, how that presence is changing, how it compares with competitors, and where opportunities exist to improve it.
It includes metrics such as AI Visibility Score, mentions, citations, cited pages, platform distribution, performing topics, and topic and source opportunities.
Step 1: Start With the Business Question, Not the Dashboard
When you open your AI Visibility report, you’ll see a lot of numbers and want to report on them. Instead, I start with the question leadership is likely to ask.
For an accounting firm, that might be:
- Are we becoming more visible for our priority industries and services?
- Are competitors appearing in AI answers more often than we are?
- Which content is helping us earn AI citations?
- Where do we have gaps that deserve marketing investment?
This matters because AI visibility is not the same as website traffic.
A buyer can encounter your firm in an AI-generated answer without clicking through to your website. That makes mentions, citations, competitive presence, and topic coverage useful directional measures alongside traditional analytics.
The board-ready report needs to explain what those signals mean, not simply display them.
Step 2: Pull Five Pieces of Data
I usually start with five metrics for the executive report.
- AI Visibility Score: Semrush defines its AI Visibility Score as a 0–100 measure based on topic coverage and how consistently a brand is mentioned within those topics. I care about this score’s direction over time and position against competitors.
- Mentions: Are AI platforms mentioning the firm more or less often? That gives us a signal of whether the firm’s overall AI presence is expanding.
- Citations and Cited Pages: Mentions and citations tell different stories. A firm can be mentioned without its website being used as a source. Conversely, an AI platform can cite the firm’s content while recommending someone else. That’s why I look at both. I also look at the number and type of pages earning citations. If three articles generate most of the firm’s citations, that’s a very different story from having citations distributed across service pages, industry pages, FAQs, and thought leadership.
- Competitive Position: Raw growth can be misleading. If our visibility grew 10% while a major competitor grew 40%, I don’t want the report celebrating the 10%. I want to know whether we are gaining or losing relative ground.
- Topic Opportunities: This is often where reporting turns into strategy. Semrush identifies topics and prompts where competitors appear but your brand does not. Instead of presenting 47 missing topics, I group them into patterns.
Step 3: Turn the Numbers into a One-Slide Story
My executive AI visibility slide follows a simple structure:
Step 4: Give the Slide a Headline That Tells the Story
This may be the most important part of the report. Make the headline the conclusion.
For example:
- AI visibility is growing, but competitors are gaining faster in two priority service areas.
- AI citations increased, but 62% still come from only five pages.
- Construction content is becoming our strongest driver of AI visibility.
Someone should be able to read the headline and understand the month’s story without studying anything else on the slide.
Step 5: Use a Simple Executive Layout
Here’s the structure I use.
TOP: THE HEADLINE
AI visibility improved this quarter, but competitive gaps remain in two priority service areas.
BOTTOM: NEXT ACTION
Next 90 days: Build and optimize content around three high-value advisory topic gaps and expand the page structures already earning citations.
Step 6: Separate Marketing Metrics from Executive Metrics
My full working report may contain dozens of data points.
The marketing team may need: prompts, platform-level mentions, individual citations, cited URLs, source domains, competitor prompts, sentiment, topic opportunities, and content gaps.
Leadership doesn’t need to see that every month.
Think of the reporting in two layers:
- Executive view: One slide. One story. One recommendation.
- Marketing diagnostic: The supporting data that explains why the numbers changed and what the marketing team should work on next.
The second layer proves the first. It doesn’t need to live on the first slide.
When I’m reviewing AI visibility data, I force myself to complete this sentence:
Because [DATA CHANGED], we believe [BUSINESS IMPLICATION], so marketing should [ACTION].
For example:
Because our AI visibility increased while citations remained concentrated in a handful of pages, we believe our content is gaining authority but not enough breadth, so marketing should apply the characteristics of our
Don’t Overstate AI ROI
AI visibility reporting is still directional.
Mentions, citations, and share of voice tell us something about whether a firm is being surfaced in AI-generated answers. They do not, on their own, prove revenue impact.
That’s why I don’t report: AI visibility increased 20%, generating $500,000 in pipeline. Unless I can demonstrate that connection.
Instead, I connect AI visibility to other signals where possible:
AI visibility → branded search → AI referral traffic → engagement → conversions → CRM opportunities
The farther we move down that chain, the stronger our business case becomes.
Semrush itself recommends combining AI visibility measures with business metrics from platforms such as Google Analytics and CRM systems when building executive reports.
For accounting marketers, that distinction matters. We want leadership to take AI visibility seriously. The fastest way to lose credibility is to claim more than the data can support.
AI Visibility Checklist
Before I send the report, I ask:
- Can someone understand the main finding in 10 seconds?
- Does the headline communicate an insight rather than name the report?
- Am I showing change over time instead of isolated numbers?
- Is competitive context included where it matters?
- Did I explain why the change matters?
- Did I identify the content or topic driving the result?
- Is there one clear next action?
- Did I remove metrics that don’t contribute to the story?
If I can’t answer yes to most of those questions, the report probably isn’t finished. It’s just formatted.
FAQs
What should an AI visibility report include?
At the executive level, include the overall visibility trend, mentions or citations, competitive context, the primary insight behind the change, and a recommended action. Keep detailed prompt, source, platform, and page-level analysis in the supporting marketing report.
How often should accounting firms report on AI visibility?
Monthly reporting works well for monitoring movement and identifying emerging patterns. For executive teams, quarterly comparisons can provide better strategic context because they reduce the temptation to react to every short-term fluctuation.
What is the difference between an AI mention and an AI citation?
A mention occurs when the firm or brand appears in an AI-generated response. A citation occurs when the firm’s domain is referenced as a source. Tracking both helps marketers understand whether AI platforms simply know the brand or are also relying on the firm’s content.
Report the Decision
AI visibility reporting shouldn’t become another dashboard executives learn to ignore. The goal is simple:
Don’t report the dashboard. Report the decision hiding inside the dashboard.
That’s what turns AI visibility data into something a CMO can use.
Download the Exec-Ready AI Visibility Report Template today and start creating a CMO report tomorrow.
Disclaimer: Becky Livingston is a Semrush Ambassador.