If your company is considering an AUTHON AI diagnosis, it’s crucial to first organize brand names, official URLs, product and service descriptions, a list of competitors, and a set of questions. This allows you to compare AI-generated answers with the company's verified key information, helping determine what is accurate and what requires correction.
Editorial Note: This article explains AUTHON AI's service and is published by its affiliate, AUTHON NEWS. It is based on the diagnostic information from the AUTHON AI official website, verified as of September 7, 2026. The methods and question examples provided below are practical suggestions from the editorial team and do not constitute a new feature announcement or an independent performance assessment.
Starting Point for Diagnosis Preparation: Five Key Inputs
According to AUTHON AI's official instructions, the input for diagnosis includes brand names, official URLs, product and service descriptions, a list of competitors, and a question set. The preparation method suggested in this article involves organizing items not just to introduce a brand but to compare with AI responses. Official diagnostic method
| Preparation Items | Content for Manager to Organize | Questions for Verification |
|---|---|---|
| Brand Name | Official spelling, English name, relationship between product name and company name | Is there any potential for confusion with another company or product? |
| Official URL | Main site and official pages for each product and service | Does the answer link to the intended official page? |
| Product/Service Description | Current provision scope, main targets, verifiable facts | Does AI’s explanation match the current business scope? |
| Competitors List | Reasons for comparison | Is it a viable comparison for similar purchase scenarios? |
| Question Set | Brand verification, problem-solving, comparison, official source inquiries | Can the same questions be used for the next assessment? |
1. Separate Company and Product Names
The editorial team suggests writing the official company name, the externally used brand name, and the product names in separate fields. If Korean and English spellings differ, include the corresponding relationship. For example, in cases where a product name is used like a company name, provide a sentence explaining which name represents the company and which refers to the service.
This information serves as a benchmark if AI explanations are incorrect. Rather than marking every alias as an error, it allows assessing whether the name refers to the same entity and if the explanation is correct.
2. Organize Official URL with Both Address and Purpose
Instead of only noting the main homepage, record the purpose of all public pages such as product introduction, usage guide, and official inquiries. Open each link to verify access and current content, and if there are previous addresses, check the final page they redirect to.
AUTHON AI lists the status of official URL connections as one of six diagnostic axes, so it’s beneficial to distinguish brand mentions from link verifications. This method records separately when a brand name appears in responses and when it connects to the official page. Official diagnostic items
3. Bind Service Descriptions with Current Content and Evidence
Include in the product/service description a brief note on what is offered, to whom, and the provision scope. Keep links to public pages or documents supporting the description, along with the verification date. Distinguish between previous and current descriptions if changes occur.
For instance, if AI incorrectly states a service offers a feature it doesn’t, managers can juxtapose documented current service scope with the AI response. This example serves to illustrate documentation methods and does not imply any occurrence in a specific company or suggest AUTHON AI’s automatic correction.
4. Define Competitors with Comparison Reasons
Besides listing competitor names, it is recommended to include reasons for choosing them. The comparative questions will differ based on whether the competitors address the same customer issues, belong to similar product groups, or are alternatives in the same region.
If the scope of comparison is altered, also record why. When substituting competitors from previous assessments, differentiate whether changes arose from brand descriptions or competitors’ modifications. This is the editorial team’s advised principle for managing comparison documentation.
5. Tailor Questions to Real Customer Situations and Preserve Original Text
Questions can be set for situations where the customer is familiar with the brand versus solving problems. The following are format examples, with square brackets to be filled with actual names and situations. The example is not a real execution or response verification.
- Brand Verification: “What services does [Brand Name] provide?”
- Problem Solving: “What service addresses [Customer Situation and Problem]?”
- Comparison: “How does the service scope differ between [Service Name] and [Comparative Service Name]?”
- Official Source Verification: “Where is the official product introduction page for [Service Name]?”
By archiving original text, language, and items subject to verification for each question, the same set can be reused for future assessments. AUTHON AI’s official guide recommends remeasurement with the same question set and standards to track changes. If revising questions becomes necessary, maintain separate versions for both old and new questions as suggested. Improvement and Remeasurement Explanation
Examine Results with Scores and Original Text Together
According to the official guide, diagnostic result collections include engine-based original text responses, citation sources, mention locations, and presence of official URLs. Managers can crosscheck these results with prepared official information to pinpoint sentences currently differing and the sources needing review. Input and Result at Collection Stage
AUTHON AI’s official instructions state the results include problematic sentences, source URLs, risk types, improvement priorities, and remeasurement criteria, highlighting why reviewing not just score changes but also supporting responses and evidence is key. Official Result Description
Merely preparing documents does not suggest an increase in AI citation, search visibility, inquiries, or sales. This article proposes preparation methods and does not present performance results measured for any specific company. The diagnosis simulator on the website is marked as a sample for explanations, not interpreted as real customer performance.
Frequently Asked Questions
What should I organize first for initial preparation?
Verify official names and primary URLs, attach current product/service descriptions, then organize competitors and questions. Specific diagnostic scope and submission methods must be confirmed through official inquiry channels.
Do I use the sample questions exactly as they are?
No, the questions in this article are format examples suggested by the editorial team. Write them tailored to your actual products, customer situations, and verification goals, while preserving the original text used in measurements.
If official site links appear, is purchase performance confirmed too?
The official URL connection is an observed item within answers. Separate conversion data is needed to evaluate inquiry, purchase, or sales effects. This article does not measure such performance.
Does receiving diagnosis mean external AI responses are automatically corrected?
It cannot be asserted so. The official explanation presents diagnosis and prioritization of improvements, and remeasurement, not assurances of AI response modification or enhancement outcomes.
How should I connect AUTHON NEWS articles with AUTHON AI diagnosis?
Existing product guides introduce AUTHON NEWS as an environment for organizing official explanations and evidence. This article focuses on the preparation method for comparing those explanations with diagnostic input materials. Verification of content publication and citation in actual AI responses must be conducted separately.
Verified Information and Scope of Application
| Evidence ID | Connection Claim | Verified Source Data | Verification Date |
|---|---|---|---|
| e-01 | c-01: Five Key Diagnosis Inputs | AUTHON AI Official Site Method | 2026-09-07 |
| e-02 | c-02: Source, Citation, URL Info in Results | AUTHON AI Official Site Method | 2026-09-07 |
| e-03 | c-03: Diagnosis of Official URL Connection | AUTHON AI Official Site Measures | 2026-09-07 |
| e-04 | c-04: Results Including Grounds and Improvement Priority | AUTHON AI Official Site Results Description | 2026-09-07 |
| e-05 | c-05: Remeasurement with Same Questions and Standards | AUTHON AI Official Site Beyond Measurement | 2026-09-07 |
Distinction is made between official product descriptions and documentation suggestions from the editorial team. This is not guidance on pricing, contractual terms, or submission obligations; diagnostic scope and usage terms are available on the AUTHON AI official website.