🔧 Fixing the "Query Failed - Creating Query Failed" Error in QUEST AI Visibility

If you use QUEST AI Visibility (formerly LLM Visibility) to track how your brand appears across AI assistants, you may occasionally see a "Query Failed - Creating query failed" error when adding or running a query. This message means the query could not be created or processed. In most cases, the cause is straightforward and can be fixed in a few minutes.

This article explains why the error happens and walks you through the steps to resolve it.

🤔 Why This Error Happens

The "Creating query failed" error usually appears for one of these reasons:

• Formatting issues in the query text, such as unsupported characters, emojis, or extra line breaks.
• A query that is too long or too short, falling outside the accepted character range.
• Duplicate queries that already exist under the same topic in your project.
• Plan or quota limits have been reached for the number of queries allowed.
• The project or workspace is not fully set up (for example, a missing brand name, domain, or region).
• The analysis timed out — very broad or complex queries can take a long time to process, and the request to the AI provider may time out and return a failure after an extended "analyzing" period.
• A temporary connection issue between QUEST and the AI provider.

🛠️ How to Fix It

Work through the steps below in order. Most customers resolve the issue within the first three steps.

🔄 Step 1: Refresh and Try Again

1. Refresh your browser page.
2. Re-enter the query and click Create or Run again.

Many failures are caused by a brief, temporary connection issue, and a simple retry often resolves it. However, if a query keeps failing, avoid submitting it many times in a row: each failed attempt can use a query credit, and repeatedly retrying the same failing query can create duplicate entries. If one or two retries don't work, move on to the steps below or contact support rather than retrying repeatedly.

✍️ Step 2: Check Your Query Text

1. Remove any emojis, special symbols, or unusual punctuation.
2. Delete extra spaces and line breaks so the query is a single, clean sentence.
3. Make sure the query is a clear, natural-language question or phrase (for example, "What are the best project management tools?").
4. Confirm the query is not too short (a single word) or excessively long, as queries that exceed the accepted length are a known rejection reason.

🔍 Step 3: Look for Duplicates

1. Open your list of existing queries in the project.
2. Confirm the query you are trying to add does not already exist under the same topic.
3. If it does, edit the existing query instead of creating a new one.

⚙️ Step 4: Confirm Your Project Setup

1. Open your QUEST AI Visibility (formerly LLM Visibility) project settings.
2. Make sure required fields are complete in Create Project (Settings → Use the new project setup experience), including Website domain, Market Location, and Language.
3. Save any changes, then try creating the query again.

📊 Step 5: Review Your Plan Limits

1. Check how many queries you have used against your plan's allowance.
2. If you have reached your limit, remove unused queries or upgrade your plan.
3. If a series of failed attempts seems to have reduced your available queries faster than expected, note this and contact support (see below) so we can review your account.

📨 If the Error Continues

If you have completed all the steps above and the error still appears, please contact our support team so we can investigate further. To help us resolve your issue quickly, include the following details:

• The exact query text you are trying to create.
• The name of the project or workspace where the error occurs.
• A screenshot of the error message.
• The date and approximate time the error appeared.
• The browser you are using.

You can reach us through the in-app chat or by emailing our support team. Providing the information above allows us to reproduce the issue and respond faster. If repeated failed attempts have reduced your available queries, let our team know — we can review your account and restore query credits that were consumed by failed attempts.

💡 Tips to Prevent Future Failures

• Keep queries clear, concise, and written in plain language.
• Avoid copying text directly from formatted documents, which can carry hidden characters.
• Keep queries focused rather than overly broad, since very large or complex queries are more likely to time out during analysis.
• Periodically review and clean up unused queries to stay within your plan limits.
• Complete all project setup fields before adding queries.

Following these practices helps ensure your QUEST AI Visibility (formerly LLM Visibility) queries run successfully every time.