Overall AI readiness score
A combined result across all audit signals.
Excellent
AI readiness audit: 8/7/2026Public technical data
Overall AI readiness assessment
How ready tagit.video is for AI systems
TAGiT (tagit.video) received an AI-readiness score of 91/100 in an automated technical audit. llms.txt was accessible, llms-full.txt was accessible, and ai.txt was not found. The robots.txt analysis found 0 explicitly allowed and 0 blocked AI crawlers, with 1 declared sitemap. Homepage markup completeness was 90%; Schema.org types included WebSite, Organization, Product, SoftwareApplication, BreadcrumbList and 6 OpenGraph tags were detected. Results reflect the public site response observed on 2026-08-07T00:20:45.699Z.
Audit context
llms.txt is accessible and contains 1,347 tokens. An expanded llms-full.txt is also available with 5,390 tokens, giving agents more direct context. No separate ai.txt policy was detected; it is optional, but can clarify training, retrieval, and attribution preferences.
robots.txt is available. 11 of 11 tracked AI bots are not blocked. Declared sitemaps: 1. The homepage exposes Schema.org types WebSite, Organization, Product, SoftwareApplication, BreadcrumbList and others; 6 OpenGraph tags were found and markup completeness is 90%.
The mobile Lighthouse profile adds Performance 90/100, Accessibility 95/100, Best Practices 100/100, SEO 100/100, and experimental Agentic Browsing 66/100. These signals have a limited weight: they complement rather than replace llms.txt, robots.txt, and structured-data checks.
Confirmed strengths
- Accessible llms.txt
- Expanded llms-full.txt
- 1 sitemap declaration
- Schema.org: WebSite, Organization
- Complete social metadata
Priority improvements
- 1Keep machine-readable files and markup aligned with future site changes.
llms.txt tokens1,347
llms-full.txt tokens5,390
ai.txt
sitemap.xml
Google Lighthouse technical profile
A mobile Lighthouse measurement. Google’s experimental Agentic Browsing category is explained separately and does not replace the broader llmsmap AI-readiness score.
90
Performance
95
Accessibility
100
Best Practices
100
Technical SEO
66
Agentic Browsing
What these results mean
The mobile page renders efficiently; its largest visible content block appeared in 2.9 s.
Accessibility scored 95/100, Best Practices 100/100, and technical SEO 100/100. The experimental Agentic Browsing category scored 66/100. It measures signals Google currently tests for software agents and is shown separately from the llmsmap AI-readiness score.
1
Free the main thread and accelerate the first view
Split long JavaScript tasks, defer non-critical scripts and styles, and shorten blocking request chains. This helps the primary content appear sooner and makes controls usable earlier.
2
Reduce code that loads without helping the page
Remove unused CSS and JavaScript, load heavy widgets on demand, and limit third-party scripts. Less code means less parsing and background work on the device.
3
Optimise images and their loading order
Serve correctly sized modern formats, prioritise the primary visual, and lazy-load content below the first viewport.
4
Make controls unambiguous
Give buttons and links accessible names, associate labels with fields, and use ordered headings and semantic regions. The same structure helps screen readers and software agents understand actions.
FCP0.9 s
First content
LCP2.9 s
Main content
CLS0.046
Layout stability
TBT30 ms
Blocking time
SI6.0 s
Visual speed
Metric glossary
- FCP · First content
- When the first text or image appeared on screen.
- LCP · Main content
- When the largest visible element in the first viewport rendered.
- CLS · Layout stability
- How much content shifted unexpectedly while loading; lower is better.
- TBT · Blocking time
- How long the browser main thread could not respond quickly to input.
- SI · Visual speed
- How quickly the visible viewport filled with content.
8/7/2026Lighthouse 13.4.1Mobile profile
AI readiness checks
Machine-readable files, crawler policy, discovery, and homepage markup.
ai.txt
ai.txt file was not found
Sitemap in robots.txt1
1 sitemap found
llms.txt in robots.txt
References: Allow: /llms.txt, Allow: /llms.txt
Schema.org (JSON-LD)
Types: WebSite, Organization, Product, SoftwareApplication, BreadcrumbList, VideoObject
OpenGraph90%
6 OG tags found
AI bot access
Based on robots.txt analysis
GPTBotNot mentioned
OAI-SearchBotNot mentioned
ChatGPT-UserNot mentioned
Google-ExtendedNot mentioned
ClaudeBotNot mentioned
Claude-SearchBotNot mentioned
Claude-UserNot mentioned
BytespiderNot mentioned
CCBotNot mentioned
PerplexityBotNot mentioned
Perplexity-UserNot mentioned
Sitemaps
Declared discovery routes for crawlers and agents.
OpenGraph tags
Social preview metadata found on the homepage.
og:image:altTAGiT - Remember What You Watchog:titleTAGiT - Stop Forgetting YouTube Videosog:descriptionYou forget 90% of YouTube videos. TAGiT captures key moments, builds AI flashcards, and uses spaced repetition so learning actually sticks. Free to start.og:urlhttps://tagit.videoog:typewebsiteSchema.org markup
Structured entities and properties exposed on the homepage.
WebSiteOrganizationProductSoftwareApplicationBreadcrumbListVideoObject
nameTAGiTurlhttps://tagit.videodescriptionAI-powered video learning platform that helps you remember YouTube videos with one-click tagging, AI summaries, and spaced-repetition flashcards.alternateNameTAGiT - Stop Forgetting YouTube VideospotentialAction{"@type":"SearchAction","target":"https://tagit.video/dashboard?q={search_term_string}","query-input":"required name=seapublisherTAGiTlogohttps://tagit.video/tagit-logo.pngsameAshttps://x.com/adamvisu, https://chromewebstore.google.com/detail/tagit-video-bookmarking-a/bdicikdkiobadnneahpfpgmbgchppnfncontactPoint{"@type":"ContactPoint","contactType":"Customer Support","email":"adam.visual.plus@gmail.com"}foundingDate2025# TAGiT
> You forget 90% of what you watch within a week. TAGiT helps you remember. TAGiT is a Chrome extension and Progressive Web App that transforms YouTube videos into lasting knowledge through AI-powered tagging, automatic Daily Digests, summaries, and flashcards using proven memory techniques like spaced repetition and active recall.
TAGiT offers two ways to capture knowledge: **Active Tagging** for intentional moment capture (press Alt+T on Windows/Linux or Opt+T on Mac), and **Daily Digest** for automatic AI-powered summaries of videos watched across any device—TV, phone, tablet, or computer. Whether you're actively studying or passively watching, TAGiT ensures nothing valuable is lost.
Built on 140 years of memory science (Ebbinghaus, 1885), TAGiT applies proven learning techniques that can improve retention by 75-92%. Intelligent capture combined with AI summaries and smart flashcards creates your personal knowledge database.
**Key Features**:
- **Active Tagging**: One-click capture during playback with AI-powered context-aware summaries
- **Daily Digest**: Automatic email summaries of videos watched on any device, delivered at your scheduled time
- **Smart Filtering**: Daily Digest automatically excludes Music, Sports, Gaming, Entertainment, and Shorts
- **Cross-Device Intelligence**: Watch on TV, phone, or tablet—get AI insights delivered to your inbox
- **AI Flashcards**: Auto-generated flashcards for spaced repetition from both tags and digests
- **Chat with Videos**: Discuss any video from your digest with AI to go deeper
- **Powerful Search**: Find any moment across all tagged videos instantly
- **Export**: Download your knowledge to PDF & Markdown
**Daily Digest Details**: Configure delivery time (default 7 AM), personalize with your learning bio, filter by channel (curated or blocked lists), and receive 1-5 videos per digest with key insights, action items, and recommended resources. No manual tagging required—just watch and learn.
**Pricing**: Free tier (25 tags/month, 3 digests/month) with Premium plans for unlimited tagging, unlimited Daily Digests, summaries, flashcards, and export features. No API keys required—all AI processing is handled server-side.
## Getting Started
- [How to Use TAGiT](https://tagit.video/how-to): Complete video walkthrough showing tagging workflow, Daily Digest setup, dashboard management, flashcard review, and data export
- [About TAGiT](https://tagit.video/about): Product overview, two capture methods (Active Tagging & Daily Digest), mission, key features, privacy policy, and who TAGiT is perfect for
- [FAQ](https://tagit.video/faq): Comprehensive answers about video tagging, Daily Digest, knowledge management, pricing, features, privacy, and platform support
## Use Cases & Learning
- [Use Cases](https://tagit.video/use-cases): Detailed scenarios for students, researchers, professionals, and lifelong learners using both Active Tagging and Daily Digest
- [Memory Science](https://tagit.video): Understanding the forgetting curve, active recall, spaced repetition, and why capturing moments while watching strengthens memory encoding
## Blog
All blog posts are also available as clean markdown at `{url}.md` for easy ingestion.
- [The 90% Problem: Why You Forget Almost Everything You Watch on YouTube](https://tagit.video/blog/the-90-percent-problem-video-retention) — The science behind video forgetting and how active recall fixes it
- [Daily Digest: How to Remember YouTube Videos Without Taking Notes](https://tagit.video/blog/daily-digest-automatic-youtube-learning) — Automatic AI summaries from any device, delivered to your inbox
- [The Short-Form Video Crisis: Why Your Brain Can't Learn Anymore](https://tagit.video/blog/short-form-video-crisis-brain-rot) — Research on 100K people reveals what TikTok and Reels do to your brain
- [TAGiT v0.9: Master Your Learning with Smart Spaced Repetition](https://tagit.video/blog/tagit-v0-9-master-your-learning) — Science-backed flashcards, custom collections, and AI categorization
- [From Video Producer to SaaS Founder: Building TAGiT with AI](https://tagit.video/blog/from-video-producer-to-saas-founder) — How one founder built 15,000+ lines of TypeScript in three months with AI
## Product Pages
- [Pricing Plans](https://app.tagit.video/pricing): Free tier and Premium plan details with feature comparison for tags and digests
- [Chrome Extension](https://chromewebstore.google.com/detail/tagit-video-bookmarking-a/bdicikdkiobadnneahpfpgmbgchppnfn): Official Chrome Web Store listing for browser extension (required for Daily Digest)
- [Web Dashboard](https://app.tagit.video): Progressive Web App for managing tags, viewing digests, reviewing flashcards, and exporting knowledge
## Resources
- [GitHub Repository](https://github.com/adampao/tagit-video): Public marketing repository with product information and resources
- [Privacy Policy](https://tagit.video/privacy): Data handling, encryption, GDPR compliance, and security details
- [Terms of Service](https://tagit.video/terms): Usage terms and conditions
## Optional
- [Contact & Support](mailto:adam@tagit.video): Customer support email for questions and assistance
- [Creator on X](https://x.com/adamvisu): Follow for product updates and learning tips
- [Creator Profile](https://adampetritsis.com): About Adam VisuAl+, founder and developer of TAGiT
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Added 8/7/2026