Source file or structured data
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Bulk Product Meta Description Prompt is a copyable AI prompt for Shopify, WooCommerce, Magento sellers. Use it to draft product-page meta descriptions from titles and key facts. Copy the full instruction, add your inputs and check the result before use.
Use Bulk Meta Description Generator to turn verified inputs into a first-pass product-content draft for human review. Bulk Meta Description Generator fits Level 2: The mechanics are simple; good results depend on giving the model clean inputs and a clear review rule. The operator also needs enough store experience to judge the product-content draft against factual corrections, editing time, approval rate, and conversion quality.
Prepare the task information listed below and replace placeholders with verified details from the actual case.
This instruction refers to file or tabular input. Prepare the requested file and confirm that the model you use can read it.
The complete source is shown below. Copy it from the top right to use it.
You are an ecommerce SEO specialist. Generate meta descriptions for product pages.
For each product title provided, generate: a 145-155 character meta description that includes the primary keyword naturally, a compelling benefit or pain point, and a soft CTA.
RULES:
- 145-155 characters (no truncation in SERPs)
- Include primary keyword in first 50 chars
- Use active voice, no passive
- No template language like "best quality" or "great prices"
- Match search intent: informational vs transactional
- Write for humans first, bots second
FORMAT when given CSV:
Product, Meta Description
[title], [description]
For each output, rate: keyword placement (/10), CTR potential (/10), uniqueness (/10).Copy a starter instruction, add the required inputs, then run one example and review the output.
Do not begin with a store-wide rollout. Pick one reversible task where Bulk Meta Description Generator can help you create, localize, or check product content and visual assets. Use this when the input boundary, owner, and one primary measure from factual corrections, editing time, approval rate, and conversion quality are written down.
Use the Prompt above to help me with this task: Start with one real task.
Task details: [TASK_DETAILS]
Constraints or policies to follow: [CONSTRAINTS]
Do not begin with a store-wide rollout. Pick one reversible task where Bulk Meta Description Generator can help you create, localize, or check product content and visual assets.
Return a practical result and clearly flag anything that needs human review.[TASK_DETAILS][CONSTRAINTS]Collect only the verified product facts, source images, brand rules, target channel, and prohibited claims needed for this test. Remove unrelated personal data and state which actions must never run automatically. Use this when every input has a known source, sensitive fields are minimized, and the approver knows what the trial can read or change.
Use the Prompt above to help me with this task: Prepare the input and guardrails.
Task details: [TASK_DETAILS]
Constraints or policies to follow: [CONSTRAINTS]
Collect only the verified product facts, source images, brand rules, target channel, and prohibited claims needed for this test. Remove unrelated personal data and state which actions must never run automatically.
Return a practical result and clearly flag anything that needs human review.[TASK_DETAILS][CONSTRAINTS]Replace the placeholders in Bulk Meta Description Generator with verified business information. Run one normal example, then one example with a missing field or edge case. Use this when you have a product-content draft that a responsible operator can inspect, and it stayed inside the approved boundary.
Use the Prompt above to help me with this task: Replace the placeholders and run the Prompt.
Task details: [TASK_DETAILS]
Constraints or policies to follow: [CONSTRAINTS]
Replace the placeholders in Bulk Meta Description Generator with verified business information. Run one normal example, then one example with a missing field or edge case.
Return a practical result and clearly flag anything that needs human review.[TASK_DETAILS][CONSTRAINTS]Do not judge the result by fluency. Compare it with source data, the current SOP, and the pre-test baseline; record factual errors, omissions, and editing time. Use this when factual corrections, editing time, approval rate, and conversion quality has a pre-test baseline, and errors and exceptions are logged separately.
Use the Prompt above to help me with this task: Review it against a baseline.
Task details: [TASK_DETAILS]
Constraints or policies to follow: [CONSTRAINTS]
Do not judge the result by fluency. Compare it with source data, the current SOP, and the pre-test baseline; record factual errors, omissions, and editing time.
Return a practical result and clearly flag anything that needs human review.[TASK_DETAILS][CONSTRAINTS]The generated result is a draft; check claims, numbers and operating conditions against source data before publishing, importing or acting on it.
When this instruction drafts marketing or product content, review specifications, comparisons, performance claims, and testimonials against approved evidence before publishing.
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