Develop a comprehensive enterprise-grade technical SEO audit checklist covering performance, crawling, indexability, architecture, structured data, JavaScript SEO, international SEO, monitoring, governance, and remediation planning.
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Act as an experienced Enterprise Technical SEO Consultant specializing in large-scale websites, enterprise information architecture, search engine crawling, Core Web Vitals, structured data, JavaScript SEO, and technical search optimization.
Develop a comprehensive technical SEO audit framework using the information below.
Website and Business:
{{website_business}}
Website Size and Platform:
{{website_platform}}
Target Markets and Languages:
{{target_markets}}
Known Technical Issues:
{{known_issues}}
Technical Constraints:
{{technical_constraints}}
Audit requirements:
1. Summarize the website, business model, platform, search objectives, website scale, and technical environment.
2. Create a prioritized technical SEO audit framework organized by Critical, High, Medium, and Low priority issues.
3. Develop a comprehensive Core Web Vitals and performance audit covering:
- Largest Contentful Paint (LCP);
- Interaction to Next Paint (INP);
- Cumulative Layout Shift (CLS);
- Time to First Byte (TTFB);
- render-blocking resources;
- image optimization;
- caching;
- CDN configuration;
- JavaScript execution;
- CSS optimization;
- font loading;
- lazy loading.
4. Create a crawlability audit covering:
- robots.txt;
- XML sitemaps;
- crawl depth;
- crawl budget;
- orphan pages;
- redirect chains;
- redirect loops;
- broken links;
- crawl traps;
- faceted navigation;
- parameter handling.
5. Develop a complete indexability audit covering:
- index coverage;
- noindex directives;
- canonical tags;
- duplicate content;
- soft 404s;
- hard 404s;
- thin pages;
- pagination;
- parameterized URLs;
- index bloat.
6. Evaluate website architecture covering:
- URL hierarchy;
- folder structure;
- internal linking;
- breadcrumb implementation;
- navigation;
- hub pages;
- topic clusters;
- anchor text;
- page depth.
7. Audit structured data implementation covering:
- Organization;
- Product;
- Service;
- Article;
- FAQ;
- Review;
- Breadcrumb;
- LocalBusiness;
- SoftwareApplication;
- other applicable schema types.
8. Evaluate JavaScript SEO and rendering including:
- client-side rendering;
- server-side rendering;
- hydration;
- rendering delays;
- blocked resources;
- rendered HTML;
- dynamic content;
- lazy-loaded content.
9. Review mobile SEO including:
- responsive design;
- mobile usability;
- viewport configuration;
- touch elements;
- mobile rendering;
- mobile page speed.
10. Review international SEO where applicable including:
- hreflang implementation;
- regional targeting;
- language targeting;
- localized URLs;
- duplicate localized content;
- international canonicals.
11. Audit security and trust signals including:
- HTTPS implementation;
- mixed content;
- security headers;
- certificate validity;
- safe browsing considerations.
12. Evaluate accessibility considerations that may indirectly influence SEO including:
- heading hierarchy;
- image alt attributes;
- semantic HTML;
- navigation accessibility;
- color contrast where applicable.
13. Review log-file analysis opportunities including:
- crawl frequency;
- crawl waste;
- crawler behaviour;
- crawl anomalies;
- important pages receiving insufficient crawl attention.
14. Identify opportunities to strengthen internal linking and PageRank distribution across the website.
15. Recommend monitoring processes covering:
- Google Search Console;
- Bing Webmaster Tools;
- crawl monitoring;
- Core Web Vitals monitoring;
- uptime monitoring;
- structured data validation.
16. For every audit item specify:
- priority level;
- business impact;
- SEO impact;
- symptoms;
- likely causes;
- recommended diagnostic method;
- suggested SEO tools;
- recommended remediation;
- validation steps.
17. Recommend suitable tools including Screaming Frog SEO Spider, Sitebulb, Google Search Console, Google PageSpeed Insights, Lighthouse, Chrome DevTools, Bing Webmaster Tools, server log analyzers, schema validators, or equivalent enterprise SEO platforms where appropriate.
18. Develop a remediation roadmap prioritizing fixes by implementation effort, business impact, technical dependencies, and expected SEO benefit.
19. Create an ongoing governance checklist covering recurring technical audits, monitoring schedules, regression testing, migration readiness, and technical documentation.
20. Do not invent crawl data, Core Web Vitals metrics, index coverage statistics, crawl errors, traffic data, rankings, backlink information, or server performance metrics.
21. Do not recommend manipulative SEO techniques, cloaking, doorway pages, hidden content, deceptive redirects, or practices that violate search engine guidelines.
22. Clearly distinguish verified information, assumptions, recommendations, and items requiring technical validation.
23. Flag any items requiring review by SEO specialists, developers, DevOps engineers, UX teams, security teams, infrastructure teams, legal stakeholders, or executive leadership before implementation.
Present the result as:
{{output_format}}
Include:
- executive technical summary;
- prioritized audit framework;
- Core Web Vitals assessment;
- crawlability checklist;
- indexability checklist;
- site architecture review;
- structured data audit;
- JavaScript SEO assessment;
- mobile SEO review;
- international SEO review;
- security and accessibility review;
- monitoring recommendations;
- remediation roadmap;
- governance checklist;
- executive summary;
- recommended next actions.Replace each variable shown in double curly brackets with accurate information from your own professional context.
{{website_business}}
Example: Describe your business, website purpose, products or services, target audience, and primary SEO objectives.
Provide verified information about your website and business.
{{website_platform}}
Example: Describe the approximate number of pages, CMS or framework, ecommerce platform, JavaScript framework, hosting environment, and technical stack.
Include information about the website architecture and technology stack.
{{target_markets}}
Example: Describe your target countries, languages, international SEO requirements, and localization strategy.
Leave blank if the website targets only one language or region.
{{known_issues}}
Example: Describe any known crawl errors, indexing issues, migrations, duplicate content, JavaScript challenges, Core Web Vitals problems, or previous SEO audit findings.
Include only verified issues or clearly identify assumptions.
{{technical_constraints}}
Example: Describe development resources, CMS limitations, release schedules, infrastructure restrictions, compliance requirements, or implementation constraints.
Clearly identify confirmed technical limitations.
{{output_format}}
Choose the format needed for auditing, stakeholder review, or implementation.
A comprehensive enterprise technical SEO audit containing prioritized technical issues, diagnostic methods, recommended tools, remediation guidance, monitoring recommendations, governance practices, and implementation priorities.
These characteristics describe the type of thinking, customization, and output structure involved in using this prompt effectively.
This breakdown explains how the prompt’s major components work together to guide the AI toward a useful, reliable, and well-structured response.
Positions the AI as an experienced Enterprise Technical SEO Consultant specializing in large-scale websites, search engine crawling, structured data, Core Web Vitals, and enterprise technical SEO.
Defines the website, platform, technical environment, international requirements, known issues, and implementation constraints.
Requires a complete enterprise technical SEO audit with diagnosis, prioritization, remediation planning, governance, and monitoring.
Prevents invented technical metrics, unsupported SEO claims, manipulative optimization tactics, and guaranteed ranking improvements.
Requires a prioritized audit framework, diagnostic guidance, remediation roadmap, governance checklist, monitoring recommendations, and executive summary.
Website, platform, international requirements, technical issues, implementation constraints, and output format.
AI-generated responses can contain errors, omissions, unsupported assumptions, outdated information, or recommendations that do not reflect your jurisdiction or professional context.
Verify calculations, evidence, regulations, standards, policies, and professional recommendations before relying on the result. The qualified professional remains responsible for the final decision.
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