Original research on how AI engines pick which brands to surface — and the methodology we use to engineer that outcome for our clients.
Tracking every AI engine sounds comprehensive. In practice, it usually produces more data than useful insight. Each platform has a different audience,…
BlogCitation Rate measures how often an AI platform visibly attributes an answer to your website or content, across a defined set of…
BlogAI visibility has quickly become an important marketing KPI. But executives rarely care about citations or mentions for their own sake. Marketing…
BlogOne of the most common failure points in AI visibility work has almost nothing to do with the quality of your measurement.…
BlogCitation Rate measures how often an AI platform visibly attributes an answer to your website or content, across a defined set of…
BlogAn AI visibility tracking tool runs a library of prompts against AI answer engines ChatGPT, Google AI Overviews and AI Mode, Perplexity,…
A short, weekly dispatch from the practice. New research, methodology updates, and the occasional rant about how AI systems pick winners. No fluff.
Many teams look for a single AI visibility score that summarizes how well their brand performs across ChatGPT, Gemini, Microsoft Copilot, Perplexity,…
BlogA single AI visibility check one prompt, run once, on one platform only captures a snapshot of a system that’s constantly changing.…
BlogAI Share of Voice (AI SOV) measures how often your brand shows up in AI-generated answers compared to your competitors, across a…