AI Visibility Audit
How to Run an AI Visibility Audit: From ChatGPT and DeepSeek to Google AI Overview
AI visibility is not a single ranking. It is the combined performance of a brand across AI platforms, user questions, and recommendation scenarios.
AI visibility is not a single ranking
Traditional SEO can observe keyword ranking, impressions, clicks, and conversions. AI visibility is more complex because user questions are more natural, platforms are more diverse, and answers change with context.
An effective audit should not ask one question and check whether the brand appears. It should test multiple platforms, intents, and expressions in a systematic way.
Which platforms should be tested
Different markets require different platforms. For Chinese users, DeepSeek, Doubao, Kimi, Tongyi, and Baidu AI-related answers may matter. For international users, ChatGPT, Claude, Gemini, Perplexity, and Google AI Overview may be more relevant.
The goal is not to maximize platform count. The goal is to cover the information entrances your target customers actually use.
What questions should be asked
Question design determines audit quality. Asking only for the brand name is not enough. The audit should simulate real buying, comparison, filtering, and scenario-based needs.
- Category questions: which AI application service providers fit SMBs?
- Scenario questions: how can hotels use AI to improve acquisition and support?
- Comparison questions: what is the difference between GEO and SEO?
- Recommendation questions: what kind of provider should I look for if I need an AI visibility audit?
- Brand questions: what does GrayRhino AI do and who is it for?
What results should be recorded
Each test should record the platform, time, question, whether the brand appears, where it appears, whether the description is accurate, which competitors are recommended, whether sources are cited, and whether any incorrect information appears.
These records help identify whether the problem is brand awareness, website content, external signals, or insufficient industry content coverage.
How audit findings become actions
If AI does not know the brand at all, prioritize brand entity and service definitions. If AI knows the brand but describes it inaccurately, fix core website content and external consistency. If AI repeatedly recommends competitors, those competitors likely have content, cases, or authority signals that are easier for AI to use.
An audit should not stay as a report. It should become a plan for content building, structured data, service page upgrades, external platform coverage, and ongoing monitoring.
How GrayRhino AI runs AI visibility audits
GrayRhino AI designs questions close to real user intent around company name, industry, region, target customers, and core services, then records results across multiple AI platforms.
The goal is to help companies understand whether AI knows them, understands them correctly, recommends them in the right scenarios, and what should be improved first.