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January 23, 2026

Run a Website Technical Audit Checklist AI Prompt

Lisa Granqvist Partner, AI Prompt Expert

Your website can look fine and still leak revenue. A slow homepage, a broken mobile menu, mixed-content warnings, or missing accessibility basics quietly push people to bounce (and they’re hard to spot without a process). Most teams “fix things as they notice them,” which is honestly how issues linger for months.

This technical audit checklist is built for marketing managers who need a clear dev handoff before a campaign push, site owners trying to pinpoint why conversions dipped after a theme/plugin change, and consultants who must deliver a credible technical audit without turning it into a six-week engagement. The output is a prioritized, checkbox-based audit across speed, mobile, HTTPS/security, accessibility (WCAG-related checks), and overall site health, plus a “next 48 hours” punch list.

What Does This AI Prompt Do and When to Use It?

The Full AI Prompt: Prioritized Website Technical Audit Checklist

Step 1: Customize the prompt with your input
Customize the Prompt

Fill in the fields below to personalize this prompt for your needs.

Variable What to Enter Customise the prompt
[COMPANY_DOCUMENTS] List the employment-related documents to be reviewed, such as contracts, policies, handbooks, or any other relevant materials.
For example: "Employee handbook, standard employment contracts, grievance procedure documentation, contractor agreements, and remote work policies."
[REGIONAL_LABOR_LAWS] Provide the specific national and local labor laws, statutes, or regulations applicable to the jurisdictions under review.
For example: "United States: Fair Labor Standards Act (FLSA), Title VII of the Civil Rights Act; Germany: Arbeitszeitgesetz (Working Hours Act), Allgemeines Gleichbehandlungsgesetz (General Equal Treatment Act)."
[INDUSTRY_WORKFORCE_COMPOSITION] Describe the composition of the workforce, including types of workers (e.g., full-time, part-time, contractors), their roles, and any unique employment arrangements.
For example: "The workforce includes 200 full-time employees, 50 part-time employees, and 30 independent contractors, with roles spanning manufacturing, logistics, and administrative support."
[JURISDICTIONS] List the geographic regions or countries where the organization operates and where labor compliance needs to be assessed.
For example: "United States, Germany, India, and Brazil."
[PRIMARY_GOAL] State the main objective of the audit, such as identifying compliance gaps, resolving conflicts between ILO conventions and local laws, or developing a remediation plan.
For example: "Identify discrepancies between company policies and ILO conventions, and recommend corrective actions to ensure compliance with both ILO standards and local labor laws."
[TIMEFRAME] Specify the timeline for completing the labor compliance audit and delivering the final report.
For example: "Four weeks from the start of the audit process."
Step 2: Copy the Prompt
OBJECTIVE
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PERSONA
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CONSTRAINTS
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PROCESS
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INPUTS
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OUTPUT SPECIFICATION
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1) Executive Overview
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2) Standards Map (ILO + Local Law Crosswalk)
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3) Phase A — Document Examination Results
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4) Phase B — Gap & Risk Analysis
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5) Priority Matrix (Critical Issues Triage)
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6) Phase C — Remediation & Control Plan
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7) Contractor / Remote / Cross-Border Addendum (if in scope)
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8) Appendix
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QUALITY CHECKS
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Pro Tips for Better AI Prompt Results

  • Give a real URL and a test path, not just the homepage. If your money page is /pricing or /checkout, include that in your context so the checklist reflects the pages that matter. Try: “Audit https://example.com and prioritize issues impacting /pricing and /checkout on mobile.”
  • Add business context so prioritization matches reality. Use the optional context field to say what “success” looks like (lead gen, bookings, ecommerce) and what changed recently. A helpful add-on prompt is: “Given this is a Shopify store, prioritize fixes that reduce cart abandonment and improve Core Web Vitals.”
  • Ask for tool-specific verification steps. The prompt already flags what must be verified, but you can make it sharper by requesting exact checks. For example: “For every ‘verify with tools’ item, specify the exact Lighthouse metric or Search Console report to review, plus pass/fail thresholds.”
  • Iterate with two passes: triage, then implementation. After the first output, ask: “Now rewrite the Critical and High items as Jira tickets with acceptance criteria, reproduction steps (if relevant), and an estimated effort (S/M/L).” You’ll get something a developer can act on immediately.
  • Force tradeoffs when you’re resource-constrained. If you only have one sprint, make the model choose. Use: “Assume we have 8 developer-hours this week. Pick the top 5 actions with the best impact-to-effort ratio and explain the reasoning in one sentence each.”

Common Questions

Which roles benefit most from this technical audit checklist AI prompt?

Marketing Managers use this to translate “the site feels slow” into a prioritized list a developer can implement before paid campaigns and launches. Technical SEO Specialists lean on it to structure audits around Core Web Vitals, mobile behavior, HTTPS, and crawl/index hygiene without missing basics. Freelance Web Developers use the checkbox format to scope work, estimate effort, and avoid vague requests like “make it faster.” Agency Consultants apply it when they need a credible, impact-ranked audit deliverable they can review with a client in one call.

Which industries get the most value from this technical audit checklist AI prompt?

E-commerce brands get value because speed, mobile UX, and HTTPS trust signals directly affect add-to-cart and checkout completion; the “next 48 hours” list is perfect before a promotion. SaaS companies use it to tighten landing page performance and mobile responsiveness for demo requests and trial signups, where small delays can cut conversion rates. Professional services firms (law, accounting, clinics) benefit from accessibility and mobile checks that reduce friction for lead forms and appointment requests, especially on local-intent traffic. Publishers and content sites use it to improve load speed, reduce layout shift, and protect ad/analytics performance without breaking core templates.

Why do basic AI prompts for running a website technical audit checklist produce weak results?

A typical prompt like “Write me a technical SEO audit for my website” fails because it: lacks a required scope (speed, mobile, HTTPS/security, accessibility, and health) so the output is random, provides no checkbox structure that you can execute, ignores severity/impact ranking so teams don’t know what to fix first, produces generic advice (“compress images”) instead of concrete checks and fixes (“convert hero JPG to AVIF; set long-cache headers for /assets/*”), and skips tool-verification guidance when the model can’t test the site live. This prompt forces a process: restated goal, categorized findings, prioritized actions, and a short punch list to start immediately.

Can I customize this technical audit checklist prompt for my specific situation?

Yes. The easiest way is to be specific with the input fields: use a precise [WEBSITE_URL] (include the exact path you care about), and use [CONTEXT] to describe your stack (WordPress, Shopify, Webflow), recent changes, and what “primary goal” means (leads, checkout, bookings). After you get the first checklist, run a follow-up like: “Rewrite only the Critical/High items for a WordPress site using Cloudflare, and include exact plugin/config suggestions.” If the site is behind login or blocks scanning, tell the model what it can assume and what you can provide (screenshots, Lighthouse reports, server headers).

What are the most common mistakes when using this technical audit checklist prompt?

The biggest mistake is leaving [WEBSITE_URL] too vague — instead of “my site,” use “https://example.com/pricing” or “https://example.com/checkout” so the audit targets high-impact pages. Another common error is skipping [CONTEXT]; “WordPress site” is thin, while “WordPress + Elementor, WooCommerce, Cloudflare, added a chat widget last week” leads to much more actionable fixes. People also forget to state the primary goal, which changes prioritization (e.g., lead form reliability vs. product page speed). Finally, some users treat the output as a legal accessibility certification; the prompt is a practical WCAG-oriented checklist, not a compliance opinion.

Who should NOT use this technical audit checklist prompt?

This prompt isn’t ideal for penetration testing, legal compliance certification, or deep application security reviews, because it explicitly avoids those scopes. It’s also a poor fit if you need a full code rewrite plan or a complete UX/brand redesign; you’ll get engineering-focused remediation steps, not a creative replatform strategy. If you’re not ready to act on findings (no dev access, no budget, no sprint time), run a smaller diagnostic first using PageSpeed Insights and pick one bottleneck to fix.

Technical issues don’t announce themselves. They just chip away at rankings, trust, and conversion rate. Paste this prompt into your AI tool, run the checklist, and start with the “next 48 hours” items while momentum is high.

Need Help Setting This Up?

Our automation experts can build and customize this workflow for your specific needs. Free 15-minute consultation—no commitment required.

Lisa Granqvist

AI Prompt Engineer

Expert in workflow automation and no-code tools.

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