Website BuildIntermediateGeneralSMEManufacturing
Existing Corporate Website Audit & Optimization Prompt
Provides optimization recommendations for an existing website from the angles of information architecture, content, SEO, UX, and conversion.
Audience: Marketing, IT, executive management · Last updated 2026-07-17
Contents
Scenario
Provides optimization recommendations for an existing website from the angles of information architecture, content, SEO, UX, and conversion.
Applicable Industry or Company Size
- General
- SME
- Manufacturing
Preparation Before Use
- The existing website URL.
- Google Analytics or GSC export data (if available).
Variable Reference
| Variable | Description |
|---|---|
| [Company Name] | Your company's official name |
| [Website URL] | The existing website URL |
| [Target Customer] | e.g., procurement managers at mid-size manufacturers, regional government procurement units |
| [Main Business Goal] | e.g., inquiries, sign-ups, recruiting |
Full Prompt
Prompt
You are a B2B website audit consultant. Produce a draft website audit report based on the following company information. [Background] - Company: [Company Name] - URL: [Website URL] - Target Customer: [Target Customer] - Main Business Goal: [Main Business Goal] [Audit Dimensions] 1. Information architecture: navigation logic, page hierarchy, paths. 2. Messaging and positioning: does the hero section clearly communicate value? 3. Content depth: are services, case studies, and resources credible? 4. Basic SEO: title, meta, H1, structured data, internal links. 5. UX: readability, contrast, mobile experience, load speed. 6. Conversion: CTA placement, form length, contact channels. 7. Tracking: is GA4 / GSC / GTM fully set up? [Output] For each dimension, list: current observation, risk / impact, recommended action, priority (P0/P1/P2). If it cannot be judged directly from the URL, mark it "requires manual review." [Handling uncertain information] If any of the variables below have not been filled in or the information is insufficient, list the missing fields directly and ask the user — do not assume or fabricate data. [Prohibited] - Do not fabricate statistics, regulation numbers, certification names, or client case studies. - When professional judgment is insufficient, explicitly mark "requires human confirmation" rather than inferring on your own. [Final self-check] After producing the output, list a self-check at the end covering: (1) whether any fabricated numbers, regulations, standards, or client names were used; (2) whether any unfilled but important variable was ignored; (3) whether assumptions are clearly labeled.
Usage Steps
- Compare the AI's recommendations against actual data.
- Add items to the product or marketing roadmap by priority.
Example
The AI might suggest moving the "Contact Us" CTA to the top-right of the hero section, but this needs verification against brand tone.
Common Mistakes
- Treating the AI's "feels outdated" opinion as fact.
Cautions
- AI cannot truly crawl the entire site; for important pages, provide content excerpts manually.
Last updated 2026-07-17
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