Genview Brand Perception Improvement compares the ideal AI perception registered in Basic Settings with how major AI systems such as ChatGPT, Gemini, Claude, Perplexity, and Grok actually understand your brand.
Use the AI Perception Summary to understand the overall picture, then use the Perception Scorecard to evaluate each ideal fact as correct, partial or abstract, misrecognized, or missing. For problematic items, Genview also suggests what to add and where to add it on your site.
What Brand Perception Improvement Shows
Brand Perception Improvement shows how AI systems understand your company by comparing actual perception with the ideal, rather than relying on subjective impressions.
01
Ideal Perception
Displays how you want AI systems to perceive your brand.
02
AI Perception Summary
Summarizes how your brand is understood across major AI systems.
03
Perception Scorecard
Evaluates each ideal fact as correct, partial or abstract, misrecognized, or missing.
04
Improvement Suggestions
Shows where and what to add to address missing or incorrect perception.
Check accuracy before increasing visibility. Even when your company appears in AI responses, inaccurate descriptions do not strengthen brand understanding. Brand Perception Improvement focuses on whether AI systems understand the core of the brand correctly, rather than on the volume of mentions or citations.
Analyze Against the Ideal Perception
The Ideal Perception section displays the brand positioning registered in Basic Settings. It becomes the reference point for the AI Perception Summary, Perception Scorecard, and Improvement Suggestions.
Run Analysis / Update Data
Reanalyzes alignment with the ideal using accumulated data. Use this for normal analysis.
Instant Update
Uses only the latest result. Use it for a quick check immediately after updating the site.
Shows the ideal perception, analysis controls, and Instant Update.
Use the AI Perception Summary to See the Overall Picture
The AI Perception Summary combines responses from ChatGPT, Gemini, Claude, Perplexity, and Grok to summarize how AI systems understand your company overall.
What Is Understood Correctly
Information consistently understood correctly across multiple AI systems, such as service category, audience, and core functions
What Is Weakly Communicated
Strengths or differentiators are described too abstractly or buried within functional descriptions
Misrecognition or Confusion
The brand is confused with another service or an identically named entity
Shows the overall brand perception across major AI systems.
Use the Perception Scorecard to Identify Problems
The Perception Scorecard evaluates alignment between actual AI responses and each ideal fact derived from the ideal AI perception.
✅ Correct The ideal fact is understood specifically and accurately
🟡 Partial or Abstract Partially understood, but too abstract or missing important elements
🔴 Misrecognized Understood in a way that conflicts with the facts
⬜ Missing The ideal fact does not appear in AI responses
Perception Alignment Rate
Shows how closely AI perception aligns with the full set of ideal facts.
Misrecognition Count
The number of ideal facts that AI systems understand incorrectly.
Evaluation Evidence
Shows which query and AI response support the evaluation.
Review misrecognition first, then missing and partial or abstract perception. Prioritize factual misrecognition, then review missing information and weakly expressed information to establish a clear improvement order.
Shows the queries and AI responses used as evidence.
Use Improvement Suggestions to Update the Site
For ideal facts that are misrecognized, missing, or only partially understood, Genview provides draft suggestions showing what to add and which page to update.
Priority
High-priority suggestions are displayed in order as #1, #2, and #3.
Target Page
Shows the recommended page category and page name, such as service, features, or FAQ.
Related Scorecard Item
Shows which ideal fact the suggestion is intended to improve.
Draft Addition
A draft passage to add to the page. Use Copy to copy the full text.
Do not publish AI suggestions without review. Confirm that the suggested functions and facts actually exist and are provided by your company, then adjust the wording and placement before publishing.
Shows priority, target page, related ideal fact, and draft addition.
Check the Reliability of the Evaluation
The amount of accumulated data used for evaluation is shown for up to 30 days. More data reduces the influence of a small number of responses.
Days of Accumulated Data
Shows how many days of data have accumulated out of a maximum of 30, such as 1 / 30 days.
Reliability
Displayed as low, medium, or high based on the amount of accumulated data.
Evaluations may fluctuate during the initial period. When little data has accumulated, a small number of responses can have a larger effect. Make important decisions after sufficient data has been collected.
Frequently Asked Questions
Q1. What can I check in Brand Perception Improvement?
You can compare the ideal AI perception registered in Basic Settings with actual perception across major AI systems and review each ideal fact as correct, partial or abstract, misrecognized, or missing.
Q2. Does a high perception alignment rate mean the brand will be mentioned more often?
Not necessarily. The perception alignment rate measures understanding of the brand. Review actual mentions and citations in Query Improvement.
Q3. What evidence is used for the Perception Scorecard?
Evaluations are based on responses from major AI systems to registered queries. Open Evaluation Evidence to review the relevant query and response.
Q4. Can I publish the improvement suggestions as written?
Do not publish them without review. Confirm that the suggested content is factual and adjust it to your company’s wording and page structure.
Q5. When can I check changes after updating the site?
After publishing the changes, use Instant Update to check the latest result.
Learn More About Genview
See the following pages for Genview’s concept, features, and pricing.
