Souji Xing – GEO Insights Platform

What is Souji Xing?

Souji Xing is an AI-based platform for brand diagnosis and GEO insights, developed by Zhuhai Hengqin Biyou Technology Co., Ltd.

It focuses on how the brand appears in generative AI responses, its recommended placement, the sources cited, and fact consistency.

What problems does GEO Insights solve?

More and more users are getting to know brands through AI assistants; businesses need to know whether these models can perceive a brand and how to describe it.

• Whether the brand appears in the answers to relevant questions.
• Do different models provide consistent descriptions of the brand?
• It indicates which websites and sources were cited in the answer.
• How often are competing products mentioned and recommended?
• Is the product information outdated or contains errors?
• Which gaps in content require authoritative information to fill them.

Main functions

• Brand AI-based health assessment and diagnosis.
• Sampling and comparison of responses across multiple platforms.
• Analysis of brand visibility and mental index.
• Insights into competitor performance and ranking recommendations.
• Tracking of source citations and information gaps.
• Brand perception keyword cloud.
• StarShield AI content verification.
• Browse industry and brand indexes.
• GEO growth management and review.
• Trend dashboards and early warning services.

Brand AI Polaris

The Brand AI Polaris tool is used to gain an overview of a brand’s visibility, recognition, and performance across various AI platforms.

The monitoring scope shown on the official website includes popular models such as DeepSeek, Tencent Yuanbao, and DouBao; the actual coverage is determined by the dashboard.

How to understand the Polaris rating?

The official website combines model visibility, factual consistency, and the proportion of online references to generate a brand perception score.

This score is suitable for comparing different stages at the same scale, and it should not be equated directly with market share, sales volume, or brand value.

• Retest using the same set of questions.
• Record the test date, model, and version.
• Distinguish between brand-specific terms and industry-standard terms.
• View the original response for abnormal results.
• Avoid drawing conclusions based on a single score alone.
• Analyze the indicators together with business data.

Platform penetration analysis

Different AI products have varying users, models, and retrieval mechanisms, and even products from the same brand can show significant differences.

Brand Perception Keyword Cloud

The keyword cloud aggregation model identifies the characteristic words that appear alongside a brand in the responses, thereby helping to determine the brand image created by AI.

• Positive words can be used to check whether the positioning has been understood.
• Vague terms indicate a lack of brand differentiation.
• Negative words require returning to the original response to check the context.
• Incorrect words should be corrected promptly on authoritative pages.
• Short-term fluctuations should not be interpreted as trends.
• Important conclusions need to be drawn in conjunction with manual text analysis.

Source tracking and content gaps

Source tracking is used to determine which web pages, documents, or public materials an AI response relies on, and to identify any missing information.

1. Open the sampled responses for a specific question.
2. Check the brand mentions and references in the answers.
3. Distinguish between the official website, media, platforms, and user-generated content.
4. Verify the source date and the accuracy of the information.
5. Mark facts that are incorrect, outdated, and missing.
6. Add the original materials on the appropriate official page.
7. Wait for the content to be retrieved, then conduct a retest using the same parameters.

Star Shield Verification

StarShield Verification is used to examine the facts, sources, and potential marketing distortions in AI-generated text, and it is suitable for conducting initial risk assessments.

The results of authenticity verification are not equivalent to judicial expert assessments or professional fact-checking; high-risk areas such as medicine, law, and finance require separate verification.

Star Shield Verification Tutorial

1. Copy the complete AI response that needs to be verified.
2. Retain the question, time, and model name.
3. Submit the text to StarShield for verification.
4. Check the facts and risk points indicated by the system.
5. Open each item individually or search for the original source.
6. Compare the conflict information based on the publication date and the entity.
7. Things that the records still cannot confirm.
8. High-risk conclusions are reviewed by experts in the field.
9. Revise the content and retain the verification records.

Competitor monitoring

Competitor monitoring allows for the comparison of multiple brands under the same criteria and models, thereby reducing misjudgments that may arise from focusing only on one’s own metrics.

• Select direct competitors and alternatives.
• Unify industry, regional, and user scenarios.
• Compare occurrence rates, recommended locations, and sources.
• Analyze the specific reasons why competitors are recommended.
• Identify the differences in the evidential content of both parties.
• Repeat the same test set on a monthly or quarterly basis.

Polaris Plaza and industry indices

Polaris Plaza is used to examine the AI performance of various industries and brands, providing a preliminary reference for industry research.

Industry indices are derived from sampling and algorithmic calculations carried out by the platform; they are useful for identifying trends, but should not be used as the sole basis for making investment decisions or assessing market size.

AI MANAGED OPS

AI MANAGED OPS is designed for teams that require continuous GEO operations, covering everything from diagnostic analysis to content creation and post-review analysis.

1. Define the brand’s positioning and target audience.
2. Diagnose the gap between current AI capabilities and those of competitors.
3. Analyze the problems, models, and sources cited.
4. Test the feedback for different ways of conveying information.
5. Create authentic and comprehensive brand content.
6. Improve the company’s own content and information system.
7. Continuously monitor changes in responses across various platforms.
8. Conduct periodic reviews and adjust the tasks for the next cycle.

Complete tutorial for using Souji Xing

1. Register and log in to the Souji Xing workstation.
2. Enter the correct name of the company or brand.
3. Select the industry, products, and target use cases.
4. Confirm the brand entity identified by the system.
5. Set up competitors and key issues to monitor.
6. Generate a basic AI diagnosis for the brand.
7. Check the responses on various platforms and the sources cited.
8. Mark incorrect facts and missing content.
9. Use StarShield verification to review important texts.
10. Create an executable list of content corrections.
11. Release authentic and verifiable official information.
12. Resample and compare at fixed intervals.
13. Evaluate the actual value by combining business data.

Price and package comparison

The official help center lists the free features and tiered services; promotional prices, benefits, and delivery times may change.

The Express Version is available for 9.9 yuan as part of a time-limited promotion indicated in the official article; its original price is 99 yuan, and the price shown on the payment page should be taken as reference before making the purchase.

How to choose a package

It is necessary to confirm before making a purchase.

• What AI platforms and models are included in the monitoring?
• Limits on the number of questions and the number of competing products.
• Does the report support export and sharing?
• How long are trend data stored?
• How are abnormality alerts sent?
• Does the promotional price include follow-up services?
• Data, account details, and refund rules.
• Acceptance criteria for customized corporate projects.

Data accuracy and monitoring boundaries

The responses generated by generative AI are influenced by the version of the model, internet connectivity, time, location, account settings, and randomness.

• A single response cannot reflect the platform’s overall perspective.
• Sampling issues should reflect the actual intentions of users.
• When comparing trends, it is essential to maintain consistency in the testing parameters.
• The fact that a citation is present does not mean that the content is entirely reliable.
• A mention of a model does not equate to the user’s intention to purchase it.
• Changes in rankings do not directly prove causation of optimization.
• For important judgments, it is necessary to consult the original response.
• Business decisions should be based on both operational data and market data.

Development of compliant GEO content

High-quality GEOs should be based on accurate information, a clear structure, and reliable sources, rather than the mass creation of fake content.

1. Unify the brand name, entity, and product information.
2. Maintain accessible official product pages.
3. Publicly verifiable parameters, cases, and dates.
4. Correct outdated or incorrect pages in a timely manner.
5. Answer users' questions in a clear and structured manner.
6. Publish cases only after obtaining customer authorization.
7. Avoid fabricating reviews, awards, and statistical data.
8. Regularly check for changes in the sources referenced by the model.

Data security and privacy

The official website provides links to Biyou Technology’s terms of service and privacy policy; businesses should still verify the current terms when making purchases.

• Confirm how the submitted content will be handled.
• Specify the retention period for account data and reports.
• Understand team permissions and access log capabilities.
• Confirm whether it is used for model training or re-analysis.
• Specify the method for deletion after the project is completed.
• Sensitive materials must be de-identified before being uploaded.
• Keep a backup of the company’s own reports.

API and open-source status

To date, no API for public use, developer console, official SDK, or verifiable GitHub repository for the Suo Ji Xing product has been identified.

The interface for creating articles in the help center is part of the blog content management functionality, and cannot be considered a public API for GEO products.

Which users are it suitable for

• Brand teams that pay attention to exposure through AI channels.
• Market analysts who can analyze competitors are needed.
• The PR team responsible for managing brand information.
• Consulting firms that provide GEO services.
• Individual users who verify AI content.
• Analysts who study industry awareness of AI.
• Enterprise managers who require long-term monitoring.

Product advantages

• It covers brand diagnosis, source analysis, and competitor analysis.
• It also provides content verification and GEO monitoring.
• Supports comparison of differences in responses across multiple platforms.
• Free features and tiered services are available.
• It is capable of establishing processes for monitoring, making corrections, and conducting reviews.
• Industry Plaza facilitates initial benchmarking.

Usage restrictions

• AI responses are random and can vary in terms of timeliness.
• Platform metrics are not proof of market share.
• The results of authenticity checks cannot replace professional appraisal.
• Prices and promotional benefits may be adjusted at any time.
• The data rules for long-term services require confirmation via contract.
• No public APIs or open-source code have been confirmed yet.
• No GEO service can guarantee rankings.

Frequently Asked Questions

What can Souji Xing mainly do?

It can monitor a brand’s visibility across various AI platforms, its way of being presented, the sources from which it draws content, and the differences compared to competitors; it also offers services for verifying the authenticity of content and for GEO management.

Can Souji Xing be used for free?

StarShield Verification and the Basic Brand Index provide free features; the level of detail in the reports, the number of times they can be used, and the real-time benefits depend on the current dashboard settings.

How much does Suo Jixing cost?

The official help center lists an accelerated version available for 9.9 yuan for a limited time, a professional version at 199 yuan, and a dynamic analysis version at 399 yuan; customizations on a deeper level require a quote.

Does the brand index of Souji Xing represent market share?

It should be noted that the brand index is an indicator derived from platform sampling and algorithms; it cannot be equated directly with sales volume, market share, or actual user perception.

Can StarShield Verification ensure the authenticity of content?

No, it is used to identify facts, sources, and marketing risks; important information still needs to be examined in the original sources and reviewed by experts in the relevant fields.

Can using Souji Xing ensure AI-driven brand recommendations?

No, AI responses are influenced by the model, version, and sampling conditions. While developing compliant content can improve the quality of the information available, it cannot guarantee accurate recommendations or rankings.

Does Souji Xing provide APIs or open-source code?

At present, there are no publicly available product APIs, official SDKs, or verifiable GitHub repositories; therefore, the Jixing platform should be considered a proprietary commercial service.