
How to
Rank content opportunities from AI search monitoring data by scoring each prompt cluster against business value, visibility gaps, competitor strength, citation potential, demand, evidence readiness, and execution effort.
10 Min Read
Ye Faye

How to
Small teams can compare brand visibility across AI platforms by tracking a focused set of buyer prompts, applying consistent visibility metrics, and connecting platform-level findings to content actions and business results.
9 Min Read
Ye Faye

How to
Find missing pages that AI should cite by comparing high-value audience questions, current AI citations, and your existing content inventory to identify unanswered, inaccessible, or insufficiently authoritative topics.
9 Min Read
Ye Faye

How to
Brand sentiment in AI is the positive, neutral, mixed, or negative way answer engines describe a brand, and improving it requires systematic prompt monitoring, source analysis, content execution, and result attribution.
10 Min Read
Ye Faye

How to
To monitor brand mentions in ChatGPT, track a controlled set of buyer-intent prompts, record mentions and citations, compare competitors, analyze sentiment, and connect visibility changes to traffic and conversions.
8 Min Read
Ye Faye

How to
A practical framework for tracking how often, where, and how favorably your brand appears in AI-generated answers across ChatGPT, Gemini, Perplexity, and other generative engines.
9 Min Read
Richard