Genview Query Improvement checks whether AI systems correctly mention and cite your company for registered questions and identifies queries that require improvement. The Base plan includes ChatGPT and Gemini as the two standard AI systems. Claude, Perplexity, and Grok are paid add-ons, allowing monitoring across up to five AI systems. The initial setup includes 15 queries, and every active query, including added queries, is monitored daily.
Use the Funnel Summary to review overall trends and the Query Detail Matrix to check Fit, Misrecognition, and No Mention for each AI system. Queries with weak results receive improvement suggestions covering content, structure, and external factors for the registered URL.
What Query Improvement Shows
Review how each active AI system handles your company for every registered query.
Mentions (Fit)
The number of times your company or service is introduced appropriately for the question.
Citation
The number of AI responses containing a link to your website.
Registered URL Citation
The number of times the target URL assigned to the query is cited.
Misrecognition
Your company is mentioned, but the description contains factual inaccuracies.
A brand mention alone is not enough. Query Improvement separately checks whether the description is appropriate, whether your website is cited, and whether the registered target URL is cited.
Shows the items monitored in Query Improvement and the data update control.
Use the Funnel Summary to Review Overall Trends
The Funnel Summary lets you switch among Overall, TOFU, MOFU, and BOFU to review mentions, citations, registered URL citations, and misrecognition by AI model.
TOFU
Queries used by people who do not yet know your company and are researching a problem or topic.
MOFU
Queries used by people comparing solutions or tools.
BOFU
Queries used by people close to adoption or purchase who are researching recommendations and differences from competitors.
“8 / 12” means that 8 of 12 measurements matched the condition. The denominator is the cumulative number of measurements for the current month and resets on the first day of each month. Because the sample is small at the beginning of the month, wait for sufficient data before judging trends.
The screenshot shows an environment using three AI systems. The Base plan includes ChatGPT and Gemini as standard. Claude, Perplexity, and Grok are paid add-ons, allowing up to five AI systems. With 15 initial queries, the daily denominator increases by 30: 15 queries × 2 AI systems. With Claude added, it increases by 45 per day. See the Pricing page for full pricing and add-on details.
Switch among Overall, TOFU, MOFU, and BOFU to review results by AI system.
Use the Query Detail Matrix to Identify Problems
The Query Detail Matrix shows Fit, Misrecognition, or No Mention for every query and AI combination.
Fit
The AI system introduces your company with accurate content and appropriate context for the query.
Misrecognition
Your company is mentioned, but the response includes factual errors or inaccurate perception.
No Mention
The AI response does not include your company or service name.
AI Response Details
Click a cell to review the latest AI response, evaluation reason, and source URLs.
Start with queries that have many No Mention results or any Misrecognition. Because results differ by AI system even for the same query, you can identify which systems have weaker perception.
Shows the AI response, evaluation reason, source URLs, and history.
Use Improvement Suggestions to Update the Target Page
Running Improvement Suggestions for a query analyzes the registered URL and proposes improvements across content, structure, and external factors.
Content
Checks for missing information such as a direct answer, conclusion, comparison criteria, and specific explanations.
Structure
Checks whether headings, summaries, FAQs, structured data, and page organization are easy for AI systems to interpret.
External Factors
Checks off-page factors such as external mentions, citations, and information that strengthens credibility.
Review improvement suggestions before using them. Confirm that suggested facts and functions actually exist, then adapt the wording to your official language before publishing.
A query is marked Achieved (Replacement Candidate) when it is Fit across every active AI system and has no misrecognition.
Graduated Query
A mechanism for removing an achieved query from active monitoring and replacing it with a new query.
After Graduation
Register a new query and begin monitoring and improvement from zero. Graduated queries remain in the history list.
Graduation does not mean the work is permanently complete. It reallocates limited monitoring capacity to the next query so coverage can continue expanding.
Shows the Achieved (Replacement Candidate) status and graduation controls.
Frequently Asked Questions
Q1. What can I check in Query Improvement?
For each registered query, you can review company mentions, citations of the official website, citations of the registered URL, and misrecognition by AI system.
Q2. What does Fit mean?
Fit means the AI system introduces your company with accurate content and appropriate context for the query.
Q3. What does the denominator represent?
It is the cumulative number of measurements performed during the current month. It increases based on registered queries, active AI systems, and monitoring days, and resets on the first day of each month.
Q4. What do Improvement Suggestions analyze?
They analyze the registered URL for page content, structure such as headings and FAQs, and external mentions or credibility signals.
Q5. What does graduating a query mean?
It means removing a query that is Fit across all active AI systems with no misrecognition and replacing it with a new query.
Learn More About Genview
See the following pages for Genview’s concept, features, and pricing.
