Expected output
The deliverable should include Query-intent taxonomy, Synonyms and typo handling, Ranking rules, Zero-result strategy, and Evaluation metrics.
IntermediateStore Experience & Conversion AI
Onsite Search | Diagnostic Analysis Prompt
Onsite Search | Diagnostic Analysis Prompt is a copyable AI prompt for ecommerce sellers. Use it to improve query understanding, result relevance, zero-result handling, and search conversion from verified business inputs. Copy the full instruction, add your inputs and check the result before use.
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How the Onsite Search | Diagnostic Analysis Prompt works
Improve query understanding, result relevance, zero-result handling, and search conversion from verified business inputs. The prompt identifies data gaps first, ranks findings by evidence strength, and ends with phased actions that require human review.
Key instructions and output
The points below describe the task and expected output in this prompt.
Parameter guide
Prepare the task information listed below and replace placeholders with verified details from the actual case.
[Search-query logs]
Replace this placeholder with verified, task-specific information before running the prompt.
[Clicks, add-to-cart, and purchases]
Replace this placeholder with verified, task-specific information before running the prompt.
[Product attributes]
Replace this placeholder with verified, task-specific information before running the prompt.
[Zero-result queries]
Replace this placeholder with verified, task-specific information before running the prompt.
[Reformulated queries]
Replace this placeholder with verified, task-specific information before running the prompt.
Copy the complete prompt
The complete source is shown below. Copy it from the top right to use it.
You are an ecommerce search and product-discovery specialist. Your objective is to improve query understanding, result relevance, zero-result handling, and search conversion. Analyze the following real inputs: [Search-query logs], [Clicks, add-to-cart, and purchases], [Product attributes], [Zero-result queries], [Reformulated queries]. First list data gaps and definitions that need confirmation. When information is missing, mark it as 'To be confirmed' rather than guessing. Then provide: (1) key findings and supporting evidence; (2) prioritized root causes or opportunities using impact × evidence strength; (3) Query-intent taxonomy, Synonyms and typo handling, Ranking rules, Zero-result strategy, Evaluation metrics; (4) executable actions for the next 7, 30, and 90 days; and (5) risks, counterexamples, and assumptions requiring human validation. Special requirement: Do not optimize for clicks alone. Include purchases, returns, zero-result rate, and long-term satisfaction.Test this prompt on a real task
Copy a starter instruction, add the required inputs, then run one example and review the output.
01Onsite Search | Diagnostic Analysis Prompt
The deliverable should include Query-intent taxonomy, Synonyms and typo handling, Ranking rules, Zero-result strategy, and Evaluation metrics. Diagnose onsite search issues and prioritize evidence-backed action
Show prompt and variablesHide prompt and variables
Onsite Search | Diagnostic Analysis Prompt
The deliverable should include Query-intent taxonomy, Synonyms and typo handling, Ranking rules, Zero-result strategy, and Evaluation metrics. Diagnose onsite search issues and prioritize evidence-backed action
You are an ecommerce search and product-discovery specialist. Your objective is to improve query understanding, result relevance, zero-result handling, and search conversion. Analyze the following real inputs: [Search-query logs], [Clicks, add-to-cart, and purchases], [Product attributes], [Zero-result queries], [Reformulated queries]. First list data gaps and definitions that need confirmation. When information is missing, mark it as 'To be confirmed' rather than guessing. Then provide: (1) key findings and supporting evidence; (2) prioritized root causes or opportunities using impact × evidence strength; (3) Query-intent taxonomy, Synonyms and typo handling, Ranking rules, Zero-result strategy, Evaluation metrics; (4) executable actions for the next 7, 30, and 90 days; and (5) risks, counterexamples, and assumptions requiring human validation. Special requirement: Do not optimize for clicks alone. Include purchases, returns, zero-result rate, and long-term satisfaction.Inputs to replace in this prompt
[Search-query logs]- Replace this placeholder with verified, task-specific information before running the prompt.
[Clicks, add-to-cart, and purchases]- Replace this placeholder with verified, task-specific information before running the prompt.
[Product attributes]- Replace this placeholder with verified, task-specific information before running the prompt.
[Zero-result queries]- Replace this placeholder with verified, task-specific information before running the prompt.
[Reformulated queries]- Replace this placeholder with verified, task-specific information before running the prompt.
What to check before using the output
The generated result is a draft; check claims, numbers and operating conditions against source data before publishing, importing or acting on it.
Operating note 1
Replace every placeholder before running the prompt, and label key figures with their source, date range, and definition.
Operating note 2
Do not optimize for clicks alone. Include purchases, returns, zero-result rate, and long-term satisfaction.
Operating note 3
Before uploading order, customer, contract, or supplier data, redact sensitive information and comply with platform terms, privacy policies, NDAs, and company data-governance requirements. Have the responsible operator review the result before it is published, sent, or executed.
Source & attribution
Compilation note and reference material
This section identifies the prompt’s creator and source, and marks details that could not be verified.
Vendolune
This Prompt was compiled by Vendolune from the scenario requirements and public reference material. The reference-page author is not credited as this Prompt's author.
Reference materialAhrefs
This link is reference material and does not establish its page author as the author of this Prompt. The author selects practical SEO use cases such as regex, automation, structured data, titles, and outlines, while warning against treating unverified AI output as SEO fact.
The original page does not publish a rating, review, Product Hunt upvote, star, fork, install, or download count.
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