20 ChatGPT Prompts for Technical SEO Recommendations

Technical SEO can become complicated quickly. A website may have thousands of URLs, crawling issues, duplicate pages, slow-loading resources, incorrect canonical tags, indexing problems, broken links, or JavaScript-related rendering issues. Finding these problems is one thing; turning them into clear, actionable recommendations is another.

ChatGPT can help SEO professionals organize technical SEO audits, analyze website issues, create implementation checklists, explain technical problems, and prioritize fixes.

The quality of the output, however, depends heavily on the instructions you provide. A vague request such as “check my technical SEO” usually produces generic advice. A structured prompt that includes the website type, technical problem, available data, and desired output can produce much more useful recommendations.

Here are 20 ChatGPT prompts for technical SEO recommendations that can help with website audits, crawling, indexing, Core Web Vitals, structured data, JavaScript SEO, international SEO, and other technical areas.

1. Complete Technical SEO Audit Prompt

Use this prompt when you want to create a structured technical SEO audit.

Act as an experienced technical SEO consultant. Create a comprehensive technical SEO audit framework for my website. Analyze the following areas: crawlability, indexability, robots.txt, XML sitemap, canonical tags, redirects, HTTP status codes, duplicate content, internal linking, URL structure, mobile usability, Core Web Vitals, structured data, HTTPS, JavaScript rendering, pagination, hreflang, image optimization, and site architecture. For each issue, explain why it matters, how to identify it, its potential SEO impact, recommended solution, and priority level. Present the recommendations in a practical table.

This prompt is useful for creating an initial audit framework before working through individual issues.

2. Crawlability Analysis Prompt

Search engines need to discover and crawl important pages efficiently. Use this prompt to investigate potential crawling problems.

Act as a technical SEO specialist and analyze the crawlability of my website. Review these details: [INSERT WEBSITE DATA]. Identify potential crawl blocks, unnecessary URL parameters, duplicate URLs, redirect chains, soft 404s, orphan pages, infinite URL spaces, blocked resources, and inefficient internal linking. Explain which pages search engines should be able to crawl and which pages should potentially be restricted. Provide actionable recommendations in priority order.

For larger websites, you can provide crawl reports or URL lists to make the analysis more specific.

3. Robots.txt Recommendations Prompt

The robots.txt file can have a significant impact on how search engine crawlers access a website.

Review the following robots.txt file from a technical SEO perspective: [PASTE ROBOTS.TXT]. Identify incorrect, unnecessary, or potentially risky directives. Check whether important pages or resources could accidentally be blocked. Recommend improvements while preserving access to valuable content. Explain each recommended change in simple language and provide a suggested robots.txt version.

Always verify recommendations against the actual website architecture before implementing changes.

4. XML Sitemap Audit Prompt

An XML sitemap should help search engines discover important canonical URLs.

Analyze this XML sitemap for technical SEO issues: [PASTE SITEMAP OR SITEMAP DATA]. Check for non-canonical URLs, redirects, 404 pages, duplicate URLs, parameter URLs, noindex pages, incorrect URL formats, missing important pages, and lastmod inconsistencies. Create a prioritized list of problems and explain how each issue should be fixed.

For large websites, sitemap analysis can be combined with crawl data and index coverage information.

5. Indexing Issues Prompt

Not every crawlable URL should necessarily appear in search results.

Act as a technical SEO auditor. Analyze these indexing issues from my website: [INSERT GOOGLE SEARCH CONSOLE DATA OR URL LIST]. Categorize the URLs into likely indexing problems such as crawled but currently not indexed, discovered but currently not indexed, duplicate without a user-selected canonical, alternate page with proper canonical, excluded by noindex, blocked by robots.txt, soft 404, redirected URL, and server error. For each category, explain possible causes and recommended actions.

This can make Search Console data easier to interpret and turn into an implementation plan.

6. Canonical Tag Audit Prompt

Canonicalization is particularly important on websites with multiple URL variations.

Review the following URL and canonical-tag information: [INSERT DATA]. Identify incorrect, missing, conflicting, or self-referencing canonical issues. Check for canonical tags pointing to redirected pages, non-indexable URLs, unrelated pages, HTTP versions, parameter URLs, or pages with conflicting signals. Explain the correct canonicalization strategy and provide recommendations for developers.

The goal should be to establish a consistent set of preferred URLs rather than simply adding canonical tags everywhere.

7. Internal Linking Audit Prompt

Internal links help search engines understand relationships between pages and distribute internal authority.

Analyze the following website internal-linking data: [INSERT URL/CRAWL DATA]. Identify orphan pages, pages with very few internal links, excessive link depth, important pages that are difficult to reach, irrelevant internal links, broken internal links, and opportunities to strengthen topical relationships. Create an internal linking recommendation table with source page, target page, suggested anchor text, reason, and priority.

This prompt is especially useful for large content websites and e-commerce sites.

8. URL Structure Analysis Prompt

A clean URL structure can make a website easier to understand and manage.

Review the following URL structure from a technical SEO perspective: [INSERT URL EXAMPLES]. Identify unnecessary parameters, inconsistent folder structures, excessive URL depth, duplicate URL patterns, uppercase/lowercase inconsistencies, unnecessary words, date-based structures, trailing-slash inconsistencies, and other potential problems. Recommend a scalable URL structure that works for SEO and website management.

Avoid changing established URLs simply for cosmetic reasons. URL changes should have a clear business or technical justification.

9. Redirect Audit Prompt

Redirect problems can create unnecessary crawling and user-experience issues.

Analyze this redirect report: [INSERT REDIRECT DATA]. Identify redirect chains, redirect loops, unnecessary redirects, incorrect redirect destinations, temporary versus permanent redirect issues, redirected URLs returning errors, and opportunities to simplify the redirect structure. Provide a prioritized action plan and explain the recommended implementation.

This is particularly valuable during website migrations and domain changes.

10. Core Web Vitals Analysis Prompt

Page experience and performance issues often require collaboration between SEO, developers, and designers.

Act as a technical SEO and web performance consultant. Analyze these Core Web Vitals results: [INSERT DATA]. Review LCP, INP, CLS, mobile performance, desktop performance, JavaScript execution, image loading, render-blocking resources, CSS, caching, server response time, and third-party scripts. Explain the likely causes and provide practical recommendations for developers. Separate quick wins from more complex development tasks.

The output can then be converted into a development backlog.

11. Mobile SEO Audit Prompt

Mobile usability remains important for websites serving users primarily on smartphones.

Perform a technical mobile SEO audit using the following website information: [INSERT DATA]. Check responsive design, mobile content parity, viewport configuration, navigation, intrusive elements, font sizes, tap targets, image behavior, structured data, page speed, and mobile crawling/indexing considerations. List the issues, potential consequences, recommended fixes, and priority.

Make sure recommendations account for the actual mobile implementation rather than assuming that every desktop feature should simply be duplicated.

12. JavaScript SEO Audit Prompt

JavaScript-heavy websites can introduce crawling, rendering, and indexing complications.

Act as a JavaScript SEO specialist. Review this website architecture and explain potential SEO risks related to JavaScript rendering: [INSERT DETAILS]. Evaluate client-side rendering, server-side rendering, dynamic rendering where relevant, JavaScript-generated links, navigation, metadata, canonical tags, structured data, lazy-loaded content, and content visibility. Provide recommendations for ensuring important content and links are discoverable and indexable.

This prompt is useful for React, Vue, Angular, Next.js, and other JavaScript-based websites.

13. Structured Data Audit Prompt

Structured data can help search engines understand the entities and content represented on a page.

Review the following structured data implementation: [PASTE JSON-LD OR DETAILS]. Identify syntax problems, incorrect properties, missing relevant properties, inconsistencies between structured data and visible content, inappropriate schema types, and implementation risks. Recommend improvements and provide corrected JSON-LD examples where appropriate.

Always validate generated markup and compare it with the current structured-data documentation before deployment.

14. Hreflang Audit Prompt

International websites often need careful handling of language and regional URLs.

Analyze this international SEO setup: [INSERT URL AND HREFLANG DATA]. Check hreflang annotations for missing return tags, incorrect language-region codes, invalid URLs, conflicting canonical tags, missing x-default where appropriate, and inconsistent page relationships. Create a table showing each issue and the recommended correction.

This prompt can help organize complicated international SEO implementations.

15. E-Commerce Technical SEO Prompt

E-commerce websites often contain thousands or millions of URLs.

Act as an e-commerce technical SEO consultant. Create an audit and recommendation framework for this online store: [INSERT WEBSITE DETAILS]. Review category pages, product pages, faceted navigation, filters, sorting URLs, pagination, out-of-stock products, discontinued products, product variants, internal linking, canonicalization, XML sitemaps, structured data, duplicate content, and crawl efficiency. Prioritize recommendations based on SEO impact and implementation complexity.

This is particularly useful for stores with large product catalogs.

16. Website Migration SEO Prompt

A website migration can create SEO problems if URLs, redirects, metadata, canonicals, or internal links are not handled correctly.

Create a technical SEO migration checklist for moving from [OLD WEBSITE] to [NEW WEBSITE]. Include URL mapping, 301 redirects, canonical tags, XML sitemaps, robots.txt, internal links, metadata, structured data, hreflang, analytics, Search Console, broken links, status codes, staging controls, launch monitoring, and post-migration validation. Organize the checklist into pre-launch, launch-day, and post-launch tasks.

A migration checklist should be treated as an implementation document rather than a generic SEO article.

17. Technical SEO Issue Prioritization Prompt

An audit can generate hundreds of findings. Prioritization is often the difficult part.

Analyze the following technical SEO issues: [INSERT ISSUES]. Prioritize them using four factors: potential SEO impact, number of affected URLs, implementation effort, and urgency. Do not simply rank issues by technical severity. Explain the reasoning behind each priority and organize the final recommendations into immediate, short-term, and long-term actions.

This can turn a long audit into a practical roadmap.

18. Developer-Friendly SEO Recommendations Prompt

SEO recommendations are more useful when developers can understand exactly what needs to change.

Convert the following technical SEO findings into developer-friendly implementation tickets: [INSERT AUDIT FINDINGS]. For each ticket, include the issue, current behavior, expected behavior, affected URLs or components, recommended implementation, acceptance criteria, SEO reason, priority, and testing method. Avoid vague recommendations such as “improve SEO” or “fix indexing.”

This approach helps bridge the gap between SEO teams and development teams.

19. Technical SEO Audit From Screaming Frog Data

If you have a crawl export, ChatGPT can help organize the findings.

Analyze the following Screaming Frog crawl data: [UPLOAD OR PASTE DATA]. Identify the most important technical SEO issues involving status codes, titles, meta descriptions, canonicals, directives, duplicate URLs, crawl depth, internal links, word count, images, redirects, and indexability. Group similar issues together, explain their likely causes, and create an actionable technical SEO report with issue, affected URLs, recommendation, priority, and suggested next step.

The quality of the analysis depends on the quality and completeness of the crawl data provided.

20. Complete Technical SEO Recommendation Prompt

Use this comprehensive prompt when you want ChatGPT to help organize a complete technical SEO strategy.

Act as a senior technical SEO consultant. Based on the website information and audit data below, identify the most important technical SEO issues and create an actionable recommendation plan.

Website type: [BUSINESS / BLOG / E-COMMERCE / SAAS / NEWS / OTHER]
Website size: [NUMBER OF URLS]
CMS: [WORDPRESS / SHOPIFY / CUSTOM / OTHER]
Target market: [COUNTRY / REGION]
Primary SEO goal: [TRAFFIC / LEADS / SALES / VISIBILITY]
Technical data: [INSERT DATA]

Analyze crawlability, indexability, robots.txt, XML sitemaps, canonicalization, redirects, status codes, internal linking, URL structure, JavaScript rendering, Core Web Vitals, mobile SEO, structured data, duplicate content, pagination, international SEO, image optimization, and website architecture.

For every significant issue, provide:

1. Issue
2. Evidence
3. Why it matters
4. Recommended solution
5. Implementation difficulty
6. Priority
7. Developer requirements
8. Validation method

Do not provide generic SEO advice. Base recommendations on the supplied evidence and clearly identify areas where additional data is required.

How to Get Better Technical SEO Recommendations From ChatGPT

The most important factor is the information you provide.

Instead of asking:

“What technical SEO problems does my website have?”

provide information such as:

• Website URL or relevant page examples
• Website type
• CMS or technology stack
• Number of indexed pages
• Crawl report
• Search Console data
• PageSpeed or Core Web Vitals data
• XML sitemap
• Robots.txt
• Redirect report
• Canonical data
• Internal-linking data
• JavaScript implementation details
• International targeting requirements

The more reliable data you provide, the more specific the recommendations can become.

Use ChatGPT as an SEO Analysis Assistant, Not a Replacement for Technical Tools

ChatGPT is useful for interpreting technical SEO information, organizing large audit findings, explaining problems, preparing developer tickets, and generating checklists.

However, it should not be treated as the source of truth for live crawling, indexing status, performance measurements, or search-engine documentation.

For example, an SEO professional can use tools such as Google Search Console, Google Analytics, PageSpeed Insights, Screaming Frog, Sitebulb, server logs, and browser developer tools to collect evidence. ChatGPT can then help interpret that information and turn it into an actionable plan.

This workflow is generally more useful than asking an AI tool to guess what is happening on a website without access to the underlying data.

A Simple Workflow for Using These Prompts

A practical technical SEO workflow can look like this:

Step 1: Collect data
Export crawl, indexing, performance, sitemap, and URL information.

Step 2: Identify problems
Use the relevant prompts above to categorize technical issues.

Step 3: Validate findings
Check important recommendations against the actual website and technical documentation.

Step 4: Prioritize fixes
Separate high-impact issues from lower-priority improvements.

Step 5: Create developer tickets
Convert recommendations into clear implementation tasks.

Step 6: Implement changes
Work with the development team to make and test the required changes.

Step 7: Re-crawl and monitor
Run another crawl and review Search Console and performance data after implementation.

Final Thoughts

The most useful ChatGPT prompts for technical SEO recommendations are specific, evidence-based, and focused on a particular technical problem. Instead of asking ChatGPT to provide generic SEO advice, give it crawl data, URLs, reports, code, or configuration details and ask it to explain what the information means and what should happen next.

Whether you’re auditing a small WordPress website, managing a large e-commerce store, planning a migration, or troubleshooting indexing problems, these prompts can help turn complex technical SEO data into clearer recommendations and implementation tasks.

The key is simple: use real technical data as the input and use ChatGPT to organize, explain, and communicate the findings.

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