Multi-engine AI search visibility report

Independent, transparent, and verifiable GEO and AI search visibility monitoring

GrayRhino AI uses fixed questions, explicit measurement sources, and traceable evidence to help brands and agencies monitor changes in brand mentions, competitors, and citations inside AI answers.

The current scope is Mainland China and Simplified Chinese. It runs 5 core questions with Volcengine Ark API web search and Baidu Qianfan Intelligent Search Generation API. Results are not fixed consumer rankings and do not guarantee mentions, positive answers, citations, or ranking improvement.

Mainland China / Simplified Chinese5 core questionsFixed methodology and explicit sourcesEvidence, history, and trends

02 / ABOUT GRAYRHINO AI

Turn evidence from AI answers into a repeatable visibility baseline.

GrayRhino AI records how brands appear, disappear, co-occur with competitors, and receive citations in AI answers through fixed methodology, explicit sources, and traceable evidence. We do not turn one answer into a fixed ranking. We help teams review facts, watch trends, and convert evidence gaps into practical Actions under the same measurement standard.

01

Independent evidence

Each run keeps the question, source, answer, mention, and citation context needed to verify an AI visibility baseline.

02

Continuous monitoring

Each project keeps history and trends so teams can compare brand, competitor, and citation changes under the same methodology.

03

Actionable follow-up

Evidence gaps become content, structured information, and retest tasks instead of remaining as a one-off report.

03 / PROBLEMS

AI search visibility should not be judged by impressions alone.

Cross-border brands, marketing teams, and agencies need to know what AI answers actually say, where the evidence comes from, and whether changes can be verified.

Problem 01

Brand mentions need stable evidence.

A screenshot cannot prove a trend, and manual spot checks are hard to reproduce. Teams need fixed questions, fixed sources, and traceable records before they can establish an AI visibility baseline.

AI visibility evidence and baseline

Problem 02

Competitors, citations, and descriptions change over time.

Competitor co-mentions, citation sources, and brand descriptions in AI answers can shift. Without history, it is hard to tell whether content work or market changes made a difference.

Continuous monitoring, history, and trends

Problem 03

Report findings need repeatable action.

After missing mentions, inaccurate descriptions, or weak citations are found, teams need evidence-based Actions and same-method retests across multiple brand or client projects.

Evidence-based Actions and project workflow

04 / CURRENT CAPABILITIES

Built around AI visibility evidence, monitoring, and retest workflows.

Traceable baselines, historical trends, and same-method retests help professional teams and agencies manage AI visibility across multiple brands and client projects.

SERVICE 01

AI visibility evidence and baseline

Build the first verifiable baseline with fixed questions and explicit sources.

Within the Mainland China and Simplified Chinese scope, the system runs 5 core questions and records answers, brand mentions, competitor co-mentions, and citations from Volcengine Ark API web search and Baidu Qianfan Intelligent Search Generation API.

Fixed questions and methodology
Brand / competitor mention evidence
Question-level answers and citations
Measurement source and boundary notes
Create Account and Project

SERVICE 02

Continuous monitoring, history, and trends

Turn one check into project-level history.

Each brand project keeps historical results so marketing teams and agencies can observe how mentions, citations, competitors, and question outcomes change over time.

  • Project-level history
  • Scheduled monitoring results
  • Brand and competitor trends
  • Same-method comparison
Build Monitoring Baseline

SERVICE 03

Evidence-based Actions and retest workflow

Convert findings into executable and repeatable work.

The system turns evidence gaps into Actions, then supports retesting with the same questions and sources after work is completed. This fits professional teams managing multiple brands or clients.

  • Evidence gap diagnosis
  • Action status management
  • Same-method retests
  • Multi-project workflow
Start Project Workflow

05 / MONITORING PROCESS

Start with a fixed methodology, then use evidence to drive retests.

GrayRhino AI does not promise fixed rankings or recommendations. It provides a traceable and verifiable monitoring process for managing AI visibility over time.

ProfessionalIndependentTransparentTraceableVerifiableFixed methodology

Step 01

Create a brand project

After registration, add the brand, website, industry, keywords, and competitors to create project context.

Step 02

Run 5 core questions

Within the Mainland China and Simplified Chinese scope, fixed questions are sent to the currently supported API measurement sources.

Step 03

Record answers and citations

The system stores question-level answers, brand mentions, competitor co-mentions, citations, and source boundaries.

Step 04

Create an evidence baseline

The result becomes the shared baseline for future monitoring, retests, and team discussion.

Step 05

Generate Actions

Missing mentions, inaccurate descriptions, and weak citations are converted into content and information-structure tasks.

Step 06

Retest with the same method

After Actions are completed, retest with the same questions and sources to observe history and trend changes.

06 / AUDIENCE

For professional teams that manage AI visibility with evidence.

The current product scope focuses on Mainland China and Simplified Chinese AI visibility evidence and monitoring. It does not cover every AI system and does not represent fixed consumer rankings on every platform.

  • Chinese cross-border brands and outbound business teams
  • Marketing teams responsible for SEO, GEO, content, and growth
  • SEO/GEO agencies managing multiple client projects
  • Consultants and service teams explaining AI answer changes to clients
  • Market teams that need fixed-method retests for brand and competitor changes

07 / EXPERIMENT

Experiment records are limited to the current real measurement sources.

Current experiment and method records cover only Volcengine Ark API web search and Baidu Qianfan Intelligent Search Generation API. We distinguish API surfaces from consumer product experiences and do not describe API results as fixed consumer rankings.

Phase 01

Fixed questions

Keep 5 core questions across brand, category, scenario, competitor, and buying-decision intents.

Phase 02

Explicit sources

Record the actual API measurement source, answer, and citation information for each run.

Phase 03

Boundary review

State that results are not fixed consumer rankings and do not guarantee mentions, positive answers, citations, or ranking improvement.

View the Experiment Method

09 / VISIBILITY MONITORING

Build a repeatable AI visibility evidence baseline

After registration, create a brand project. The current system uses 5 core questions, Volcengine Ark API web search, and Baidu Qianfan Intelligent Search Generation API to return question-level answers, brand and competitor mentions, citations, history, and Actions. The result is not a fixed consumer ranking and does not guarantee mentions, positive answers, citations, or ranking improvement.

Create Account and Project

10 / FAQ

Frequently Asked Questions

What does GrayRhino AI do?

GrayRhino AI is an independent, transparent, and verifiable AI visibility evidence and monitoring platform for Chinese cross-border brands, professional marketing teams, and SEO/GEO agencies.

Which measurement sources are currently supported?

The current scope is Mainland China and Simplified Chinese, using Volcengine Ark API web search and Baidu Qianfan Intelligent Search Generation API. We do not claim to cover every AI system.

Why use 5 core questions?

Fixed questions reduce methodology drift and make it possible to compare brand, category, scenario, competitor, and buying-decision answers over time.

Are the results consumer-side rankings?

No. API surfaces and consumer product experiences may differ. The results are same-method evidence records, not fixed consumer rankings.

Does GrayRhino AI guarantee mentions or ranking improvement?

No. It does not guarantee mentions, positive answers, citations, or ranking improvement; it is also not an authority, rating agency, ranking certification, or official certification. It provides traceable and verifiable evidence from explicit sources.

11 / CONTACT

Need an AI visibility monitoring baseline?

Create an account and brand project first, or contact chat@huixilab.com to discuss a multi-project workflow for your team or agency.