Measurement & Reporting articles
Every guide on Measurement & Reporting, in one place.
Which Competitors Should You Track in AI Answers?
Your AI competitor set is not your sales competitor set. How to pick the brands worth tracking, how many, and why the answer comes from the data.
Building the Business Case for AI Visibility
How to justify AI visibility tracking to a CFO without inventing a revenue number, and which metrics survive the question what is this worth.
Your AI Visibility Score Dropped. Now What?
Most drops are variance, not loss. How to tell a real decline from normal fluctuation, and the order to check causes when the drop is real.
AI Visibility Benchmarks: What Is a Good Score?
Your AI visibility score is 28. Is that good? How to read a number against your category, your engine mix and your own baseline, with real category data.
How Often Should You Measure AI Visibility?
Daily measurement reads noise, monthly misses the window. Why weekly sampling fits how AI answers actually move, and when to deviate from it.
Best AEO Tools (2026): What They Do and How to Choose
AEO tools track whether answer engines mention and cite your brand. What the category includes, honest selection criteria, and where to start.
Branded vs Brand-Free Queries in AI Visibility Measurement
Branded queries inflate your AI visibility score. How to build a query set that measures reality, and why rival comparison needs brand-free questions.
AI Competitor Analysis: Why Do Engines Recommend Your Rival?
When ChatGPT recommends your competitor and skips you, the reason is data, not luck. Who wins which question, and thanks to which sources.
AI Visibility Measurement & Reporting: The Complete Playbook
The eight building blocks of AI visibility measurement (share of voice, citations, hallucinations, GA4) and how they fit into one dashboard.
Best AI Visibility Tools (2026): Ranked & Compared
We compared the top AI visibility tools for 2026 on engine coverage, honest scoring and price. Here's our ranked shortlist, including where each one fits.
AI Bot Log Analysis: Find AI Crawlers in Your Logs
A hands-on guide to AI bot log analysis: which user agents to grep, how to split training crawls from live fetches, and how to catch spoofed bots.
AI Traffic Attribution: Finding AI-Influenced Conversions
Why AI-influenced conversions hide from last-click attribution, the practical proxies that surface them, and what no tool can honestly measure yet.
AI Share of Voice: What It Is and How to Measure It Honestly
AI share of voice is your slice of brand mentions in AI answers. How to compute it without fooling yourself, and which pitfalls corrupt the number.
AI Hallucinations About Your Brand: Detect and Fix Them
When AI states wrong facts about your brand (old pricing, dead features, fake founders), here is how to detect hallucinations and correct the source.
AI Citation Analysis: Which Pages Do AI Engines Cite?
AI citation analysis shows which pages AI engines cite about your brand. How to read citation patterns, run a gap analysis, and build a PR list.
How to Design an AI Visibility Prompt Set Worth Tracking
How to build a prompt tracking set for AI visibility: the right intent mix, how many prompts you need, vanity prompts to skip, and refresh cadence.
AI Visibility Reports Executives Will Actually Trust
How to build an AI visibility report executives trust: defensible KPIs, share of voice trends, confidence bands, and an honest answer to the ROI question.
AI Visibility: What It Is and How to Measure It
Why rank-tracking logic breaks in ChatGPT and Perplexity, and how to measure your brand's AI visibility honestly: sampling, share of voice, citations.
How to Measure ChatGPT Referral Traffic in GA4
How to measure ChatGPT referral traffic in GA4: the regex, a step-by-step exploration, and why your AI traffic numbers will always undercount.