Overall AI readiness score
A combined result across all audit signals.
Average
AI readiness audit: 8/29/2026Public technical data
Overall AI readiness assessment
How ready banana-ai.art is for AI systems
Banana AI (banana-ai.art) received an AI-readiness score of 67/100 in an automated technical audit. llms.txt was accessible, llms-full.txt was not found, 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 0%; no Schema.org types were detected and 0 OpenGraph tags were detected. Results reflect the public site response observed on 2026-08-29T03:29:06.431Z.
Audit context
llms.txt is accessible and contains 545 tokens. No accessible llms-full.txt was detected, so deeper context still has to be assembled from regular pages. 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. No Schema.org type was detected on the homepage. 0 OpenGraph tags were found and markup completeness is 0%, leaving more entity interpretation to crawlers.
The mobile Lighthouse profile adds Performance 78/100, Accessibility 90/100, Best Practices 96/100, SEO 100/100, and experimental Agentic Browsing 100/100. These signals have a limited weight: they complement rather than replace llms.txt, robots.txt, and structured-data checks.
Confirmed strengths
- Accessible llms.txt
- 1 sitemap declaration
- Strong Google agentic signals
Priority improvements
- 1Add llms-full.txt for richer first-party context.
- 2Add JSON-LD for the organisation, website, and core entities.
- 3Complete OpenGraph and canonical homepage metadata.
- 4Reduce mobile rendering delay and main-thread work.
llms.txt tokens545
llms-full.txt tokens—
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.
78
Performance
90
Accessibility
96
Best Practices
100
Technical SEO
100
Agentic Browsing
What these results mean
Mobile performance is 78/100, with the largest visible content block appearing in 5.3 s and the browser main thread blocked for 70 ms. Layout shift was 0. The main thread is where the browser runs JavaScript, calculates layout, and paints the page; long work there delays both user input and browser-agent actions.
Accessibility scored 90/100, Best Practices 96/100, and technical SEO 100/100. The experimental Agentic Browsing category scored 100/100. 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
Reduce network delay
Improve server response time, remove unnecessary redirects and repeat downloads, and use compression, caching, and selective preconnect hints.
FCP1.7 s
First content
LCP5.3 s
Main content
CLS0
Layout stability
TBT70 ms
Blocking time
SI3.1 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.
8/29/2026Lighthouse 13.4.1Mobile profile
AI readiness checks
Machine-readable files, crawler policy, discovery, and homepage markup.
llms-full.txt
Full version was not found
ai.txt
ai.txt file was not found
Sitemap in robots.txt1
1 sitemap found
Schema.org (JSON-LD)
Schema.org markup was not found on the homepage
OpenGraph
OpenGraph tags were not found on the homepage
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.
# Banana AI > Banana AI is an AI-powered image generation platform that transforms photos into various creative outputs including miniature characters, car models, motorcycle figurines, and other artistic variations. Users can upload images and generate unique AI-enhanced versions across different specialized tools with a simple, credit-based system. The platform offers multiple specialized AI generators for different subjects - from general miniature creation to specific automotive and motorcycle model generation. Each tool is designed for specific use cases like creating collectibles, 3D printing models, stickers, and digital mockups. Users receive credits to generate images, with automatic privacy protection - all uploaded images are deleted within 7 days and never shared publicly. Key features include secure image processing, user account management, and AI models designed to refuse generating inappropriate content, ensuring a safe creative environment for all users. ## Documentation - [Privacy Policy](https://banana-ai.art/privacy-policy): Comprehensive privacy policy covering data handling, image processing transparency, and user rights - [Terms of Service](https://banana-ai.art/terms-of-service): Service terms including usage guidelines, AI content safety measures, and user responsibilities ## Core Features - [Home Page](https://banana-ai.art/): Main interface with general AI image generation and processing capabilities - [AI Miniature Generator](https://banana-ai.art/ai-miniatur): Transform photos into miniature characters and figurines - [Car Miniature Generator](https://banana-ai.art/miniatura-carro): Create realistic car miniatures for 3D printing, stickers, and mockups - [Motorcycle Miniature Generator](https://banana-ai.art/miniatur-motor): Generate detailed motorcycle miniature models from photos - [Authentication System](https://banana-ai.art/): User registration and login system ## Optional - [Robots.txt](https://banana-ai.art/robots.txt): AI crawler access configuration - [Sitemap](https://banana-ai.art/sitemap.xml): Site structure for search engines - [Logo](https://banana-ai.art/favicon.ico): Banana AI brand icon
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Added 8/29/2026