Recommendation scenario diagnosis
We determine the AI recommendation scenarios in which your brand should most naturally appear.
AI RECOMMENDATION GAP DIAGNOSIS
Diagnose why AI is not recommending your brand.
We identify weak recommendation signals, missing evidence, and source gaps, then turn the diagnosis into clear repair priorities.
Seven connected views of your recommendation gap.
Recommendation status diagnosis
Based on the size of your product or service portfolio, we test a matching set of core AI recommendation questions and determine whether your brand is absent, mentioned, compared, or recommended.
Recommendation reason diagnosis
We systematically analyze whether AI currently lacks sufficient reasons to recommend your brand.
Website and content asset diagnosis
We check whether your official website has the content assets needed to support AI recommendations.
Technical GEO diagnosis
We check whether important content can be smoothly discovered, read, and understood by search systems and AI-search-related systems.
External source diagnosis
We check whether brand information across public sources is consistent, credible, and complete.
Competitor analysis and source breakdown
We analyze why competitors are recommended and break down the public sources supporting those recommendations.
Diagnose the gap
Find out why AI overlooks your brand.
Identify the causes, priorities, and clearest repair path.