Audit Any Webpage Like a Pro: 50-Point SEO & AI Visibility Checklist + NotebookLM Video Prompt



SEO + AI Visibility Audit Checklist (Updated for 2025)

Use this 50‑point checklist to audit any webpage for content quality, AI Overview readiness, and technical SEO. It reflects Google’s latest guidance (E‑E‑A‑T, Helpful Content) and modern ranking signals like Core Web Vitals (INP), structured data, and multimedia usage.

What’s new in 2025: prioritize people‑first content, pass Core Web Vitals (LCP/CLS/INP), add FAQ/HowTo/Video schema where relevant, include author credentials, and structure sections for easy extraction by AI systems.

Highest Relevance (1–20): Content Quality, Intent, Trust

  1. E‑E‑A‑T is clear (experience, expertise, authoritativeness, trust) with visible author bio/credentials.
  2. Original & user‑first insights (not generic/AI‑regurgitated); adds unique value.
  3. Matches search intent (informational, navigational, transactional, local, etc.).
  4. Factually accurate, with citations to credible, verifiable sources.
  5. Honest, descriptive titles—relevant and non‑clickbait.
  6. Purpose is to help users (solve/educate), not merely rank.
  7. Meets Helpful Content guidelines; avoids thin or repetitive content.
  8. Keywords used naturally (primary + semantic variations) without stuffing.
  9. Readable & clean prose: short paragraphs, bullets, scannable sections; no grammar issues.
  10. Beats competitors on depth, clarity, examples, and freshness.
  11. High‑quality visuals (prefer WebP/AVIF), compressed and relevant.
  12. No disruptive UX (intrusive interstitials, auto‑play audio/video).
  13. Compelling meta title & description aligned to content and intent.
  14. Proper heading hierarchy (H1→H2→H3) with descriptive, helpful subheads.
  15. Passes Core Web Vitals on mobile & desktop (see thresholds below).
  16. Mobile‑friendly/responsive with stable layout and tap targets.
  17. Helpful internal links to related, deeper resources; avoid over‑optimization.
  18. Authoritative outbound links that support claims; open in new tab when appropriate.
  19. Value‑adding multimedia (video, diagrams, infographics) enhances understanding.
  20. Clear CTA guiding next steps without being pushy.
Core Web Vitals (2025) Targets
  • LCP (Largest Contentful Paint) ≤ 2.5s
  • CLS (Cumulative Layout Shift) ≤ 0.1
  • INP (Interaction to Next Paint) ≤ 200ms
Test with PageSpeed Insights & Lighthouse on both mobile and desktop.

Medium Relevance (21–40): Technical SEO, Engagement, Structure

  1. SEO‑friendly URL (short, readable, keyword aligned): /topic-key-term.
  2. HTTPS everywhere; no mixed content or cert errors.
  3. Schema markup (BlogPosting, FAQPage, HowTo, VideoObject, Product) when relevant.
  4. Answers common questions and pain points (great for AI Overviews).
  5. AI‑assisted content is human‑edited, fact‑checked, and adds firsthand experience.
  6. Canonical tags correctly prevent duplication.
  7. Updated regularly with current data, examples, and screenshots.
  8. Breadcrumbs for navigation and rich results.
  9. Author page & bio linked; credentials and contact visible (YMYL critical).
  10. Encourage engagement (comments, polls, share prompts, internal CTAs).
  11. Serves both beginners & pros (overview + advanced sections).
  12. Affiliate/sponsored links disclosed (FTC) and tagged (rel="sponsored").
  13. Trust signals (testimonials, case studies, press mentions, certifications).
  14. Actionable guidance with steps/checklists/code where applicable.
  15. Headings optimized for readability + natural keywords (no stuffing).
  16. Clear site navigation and consistent header/footer structure.
  17. Visible contact/support (email/form/social) for transparency.
  18. Alt text on all images describing content/context (accessibility + SEO).
  19. No spammy outbound links; use rel="nofollow" when warranted.
  20. Pagination/infinite scroll SEO‑safe (unique URLs, links, or Load more with pushState).

Lower Relevance (41–50): UX, Accessibility, Compliance

  1. Accessible typography (≥16px body, 1.5 line‑height, WCAG contrast).
  2. No broken links/404s; monitor with Search Console or crawlers.
  3. Domain/theme alignment supports topical authority.
  4. UGC moderated (spam filtering, clear community rules).
  5. Local SEO (if relevant): NAP consistency, GBP, local schema.
  6. Animations subtle and performant (prefers‑reduced‑motion respected).
  7. Social share buttons lightweight, async, non‑intrusive.
  8. No manipulative tactics (hidden text, cloaking, doorway pages, stuffing).
  9. Privacy compliance (GDPR/CCPA/consent for cookies & tracking).
  10. Backlink‑worthy: content naturally earns citations (original data, tools, templates).

Pro Tips for AI Overview & Answer Engine Readiness

  • Summarize key takeaways at the end of each section for easy snippet extraction.
  • Include FAQs (2–5) with concise answers; add FAQPage schema when appropriate.
  • Use definition boxes for important terms (e.g., “What is INP?”).
  • Provide tables and checklists (AI systems extract these reliably).
  • Embed original media (videos, charts) with descriptive captions and alt text.
  • Link to primary sources (standards, docs, research) to boost trust signals.
Quick Audit Scoring (Optional)

Mark each item: Pass / Needs Work / Fail. Aim for 90%+ in Highest + Medium relevance items.

  • Highest (1–20): × 3 weight
  • Medium (21–40): × 2 weight
  • Lower (41–50): × 1 weight

Helpful References

Use this checklist to audit your pages and competitors’. Update content regularly, validate with PageSpeed Insights, and monitor Search Console for enhancements and issues.

Additional sources to add.

  • Excerpts from "BlogPosting - Schema.org Type": This source details the Schema.org type for blog posts, including its properties and examples of its implementation using Microdata and JSON-LD. https://schema.org/BlogPosting
  • Excerpts from "Creating Helpful, Reliable, People-First Content | Google Search Central | Documentation | Google for Developers": This documentation provides Google's guidelines for producing content that is helpful, reliable, and user-focused, emphasizing the importance of E-E-A-T (Expertise, Experience, Authoritativeness, and Trustworthiness). https://developers.google.com/search/docs/fundamentals/creating-helpful-content
  • Excerpts from "Google Search's guidance about AI-generated content | Google Search Central Blog | Google for Developers": This blog post outlines Google's approach to AI-generated content, stressing that high-quality, people-first content is rewarded regardless of how it's produced, while content generated solely for search ranking manipulation is considered spam. It also clarifies that giving AI an author byline is probably not the best way to be transparent about AI involvement. https://developers.google.com/search/blog/2023/02/google-search-and-ai-content
  • Excerpts from "Mark Up FAQs with Structured Data | Google Search Central | Documentation | Google for Developers": This guide explains how to use FAQPage structured data to mark up frequently asked questions on government-focused or health-focused websites, enabling rich results in Google Search. It specifies that this structured data is for single-answer FAQs, recommending QAPage for situations where users submit multiple answers to a single question. https://developers.google.com/search/docs/appearance/structured-data/faqpage
  • Excerpts from "SEJ_SEOTrends2025.pdf": This document from Search Engine Journal discusses SEO trends for 2025, highlighting the evolving search landscape, Google's practices regarding content scraping, and the increasing importance of diversifying traffic sources beyond Google. It emphasizes building brand authority and adapting to AI-driven search environments. https://www.searchenginejournal.com/ (Note: The direct URL to the PDF document was not provided in the source excerpts; this link goes to the publisher's main website.)
  • Excerpts from "SEO Starter Guide: The Basics | Google Search Central | Documentation | Google for Developers": This starter guide from Google provides fundamental principles for Search Engine Optimization, including how Google Search works, content discoverability, site organization, and influencing search appearance. It emphasizes creating helpful, reliable, and people-first content. https://developers.google.com/search/docs/fundamentals/seo-starter-guide
  • Excerpts from "Google Search Quality Evaluator Guidelines (Copyright 2025)": This is a more recent version of the Google Search Quality Evaluator Guidelines, providing updated criteria and examples for assessing page quality, including new spam policies such as "site reputation abuse," "expired domain abuse," and "scaled content abuse." It reinforces the importance of content effort, originality, and added value, applying these principles to AI-generated content as well. https://static.googleusercontent.com/media/guidelines.raterhub.com/en//searchqualityevaluatorguidelines.pdf

NotebookLM Customization Prompt for Webpage Audit Video Overview

Use the following customization prompt in NotebookLM to generate an actionable, example-driven Video Overview for auditing a webpage. It is based on the 50-point SEO + AI visibility checklist and designed for audiences who already understand SEO fundamentals.

This prompt can also be adapted to create an Audio Overview — simply update the text as needed and replace the URL to audit different pages.

Copy & Paste Prompt 
	
Audit this page by using given resources:  

https://www.plus2net.com/articles/ai-mode-traditional-search.php


Create a step-by-step, practical Video Overview for auditing a webpage using the provided 50-point SEO + AI visibility checklist. 
The audience already understands SEO fundamentals, so skip beginner explanations. 
Focus on actionable, implementable steps and examples drawn from real-world website audits.

Structure the video in the following sections:

1. **Quick Triage** – How to scan a webpage in under 5 minutes for major pass/fail signals (E-E-A-T markers, Core Web Vitals status, obvious UX blockers).

2. **High-Impact Fixes (Top 20 items)** – Show exactly how to test and improve:  
   - Checking author credentials and trust signals.  
   - Validating schema markup for BlogPosting, FAQPage, and VideoObject.  
   - Identifying missing or outdated CTAs and internal links.  
   - Spotting keyword over-optimization vs. natural integration.  
   - Detecting disruptive UX elements and how to remove them.  

3. **Medium-Priority Enhancements** – Demonstrate quick wins:  
   - Adding alt text to missing images using descriptive context.  
   - Correctly setting canonical tags for similar/duplicate pages.  
   - Structuring FAQ sections to appear in Google AI Overviews.  
   - Updating stale statistics, screenshots, or references.  

4. **Technical & AI-Readiness Checks** – Practical demonstrations:  
   - How to test INP, CLS, and LCP with Lighthouse/PageSpeed Insights.  
   - Ensuring breadcrumb navigation and clean URL structure.  
   - Using structured Q&A blocks to make the page more extractable for AI tools.  

5. **Final Scoring & Next Steps** –  
   - Show a simple Pass / Needs Work / Fail scoring sheet based on the checklist.  
   - Prioritize fixes that can improve both rankings and AI tool citations within 30 days.

Tone: Keep it concise, professional, and example-driven. Use visual callouts, real inspection tools (e.g., Search Console, Screaming Frog, Schema Validator), and before/after examples where possible.

This prompt ensures the Video Overview generated by NotebookLM is practical, visually instructive, and directly tied to the 50-point checklist, making it ideal for training, client presentations, or in-depth content audits.

By combining a structured 50-point audit checklist with a customized NotebookLM prompt, you can streamline webpage evaluations and uncover high-impact SEO and AI readiness improvements. This approach ensures your content is not only search-optimized but also positioned for visibility in emerging AI-driven search experiences.


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👤 About the Author

Subhendu Mohapatra is the creator of Plus2net.com and a dedicated developer focused on AI-powered tools, data analysis, and content automation. He regularly experiments with platforms like Google Colab, Python data workflows, and prompt engineering to explore practical uses of AI in digital content and analytics.

Driven by a passion for knowledge sharing, he helps others build technical skills and leverage AI more effectively in their personal and professional workflows—often contributing on a voluntary basis through tutorials, code samples, and real-world guidance.

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