Chapter 7 · Measuring AI visibility
A guide by Roberto Serra
KPIs & Metrics
The deep dives in this section of the “Measuring AI visibility” chapter.
A guide by Roberto Serra
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Deep dives
Chapter 7 · Measuring AI visibility
Continue with the deep dives
40 deep dives across the 5 sections of the chapter.
7.1
Competitor AI Audit: how to reverse engineer your rivals’ AI visibility
The competitors winning in AI answers share 3 sources you’re missing
Gap Analysis by Query Cluster: the 30 queries that separate you from your competitor are your editorial plan for the next 6 months
New entrant detection: how to discover the competitors AI is starting to cite before you do
Reverse engineering the competitor the AI cites most: how to turn their pattern into your map
Industry Benchmark for AI Visibility: The Number That Gives Meaning to Your Share of Voice
Seasonal AI Visibility Pattern: reading the cycles so you don’t mistake seasonality for a problem
Bilingual AI visibility: why AI cites you in Italian but you vanish in English (or vice versa)
7.2
AI Confidence Indicator: read how much the AI trusts you from the language it uses
AI platform visibility: why an aggregate average leads your investment astray
AI Referral Traffic: the only AI metric you can already see today in Google Analytics
AI Share of Voice: the metric that’s replacing market share
AI Mention Sentiment: How the AI Cites You Matters More Than How Often
AI Citation Accuracy Rate: How Often AI Tells the Truth About Your Brand
AI Recommendation Position: your spot in the AI list is the new ranking
Query Coverage Rate: the metric that tells you how often AI really recommends you
7.3
Monthly AI Visibility Scorecard: one page, six numbers, three months of trend
Competitive Comparison Matrix: Winning on One AI Platform Isn’t Enough Anymore
Which Sources the AI Cites You From: The Map That Tells You Where to Invest
Quarterly Trend Analysis: how to tell if your AI visibility is truly growing
Hallucination Tracking Report: turning the AI’s mistakes about your brand into data you can manage
The format that unlocks the budget for AI visibility
The AI visibility report that shifts the conversation with your client
AI Alert: set up now the system that warns you when your brand disappears from the answers
7.4
AI lead attribution: how to know how many customers really come from ChatGPT and Perplexity
When Google Ranking Drops and AI Visibility Rises: the Signal You Must Learn to Read
Cost per AI Mention: What It Really Costs You Every Time AI Recommends You
What AI Visibility Level Are You At: The Maturity Model Your CEO Understands
AI visibility budget: 10k, 30k, 100k a year? Here’s how to actually allocate it
AI Visibility Forecasting: predict where your AI visibility will be in 6 months
Channel Mix Optimization: How to Rebalance Budget Across AI, SEO and Ads
AI Visibility as a Competitive Moat: Why Building It Today Is Worth Double
7.5
The prompt framework that turns AI monitoring into comparable data
AI Visibility Tracking Tool: I Tested Peec, Otterly and Profound for 3 Months (What Really Changes)
Google Search Console already tells you whether you appear in AI Overviews (and almost no one looks)
Manual Tests on ChatGPT, Claude and Perplexity: The Invisible Ceiling That Blocks You
Mention Mining from AI Answers: Turning Citations into Competitive Intelligence
Perplexity Analytics Dashboard: how to measure the AI traffic everyone else ignores
Brand24, Mention, Meltwater for AI citation tracking: what actually works today
Ask the AI to audit your AI: the self-audit nobody does
