Independent technical audit

loraai.pro

Overall AI readiness score

A combined result across all audit signals.

Average

AI readiness audit: 10/29/2026Public technical data

About the site

Platform:: Next.js

Overall AI readiness assessment

How ready loraai.pro is for AI systems

66/100

loraai.pro is a legitimate LoRA AI generation and training platform. Its llms.txt is well-formed, accessible, and consistent with the website content. No policy violations were found. Approved for inclusion.

Audit context

llms.txt is accessible and contains 1,772 tokens. An expanded llms-full.txt is also available with 1,219 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. 6 of 11 tracked AI bots are not blocked, while 5 receive a prohibition. 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 55/100, Accessibility 92/100, Best Practices 100/100, 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
Expanded llms-full.txt
1 sitemap declaration
Strong Google agentic signals

Priority improvements

1Review the 5 explicit AI-bot blocks and keep only intentional restrictions.
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 tokens1,772

llms-full.txt tokens1,219

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.

Mobile · Lighthouse

Performance

Accessibility

100

Best Practices

100

Technical SEO

100

Agentic Browsing

What these results mean

Mobile performance is 55/100, with the largest visible content block appearing in 11.3 s and the browser main thread blocked for 340 ms. Layout shift was 0.023. 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 92/100, Best Practices 100/100, 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.

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.

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.

Optimise images and their loading order

Serve correctly sized modern formats, prioritise the primary visual, and lazy-load content below the first viewport.

Improve interface contrast and readability

Increase contrast for text, states, and interactive controls so both people and visual agents can distinguish content from actions and supporting labels.

FCP2.6 s

First content

LCP11.3 s

Main content

CLS0.023

Layout stability

TBT340 ms

Blocking time

SI8.6 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.

10/29/2026Lighthouse 13.5.0Mobile profile

AI readiness checks

Machine-readable files, crawler policy, discovery, and homepage markup.

llms.txt

File found and accessible

https://loraai.pro/llms.txt

llms-full.txt

Full version is available

https://loraai.pro/llms-full.txt

ai.txt

ai.txt file was not found

robots.txt

File found

https://loraai.pro/robots.txt

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

GPTBotBlocked

OAI-SearchBotAllowed

ChatGPT-UserAllowed

Google-ExtendedBlocked

ClaudeBotBlocked

Claude-SearchBotAllowed

Claude-UserAllowed

BytespiderBlocked

CCBotBlocked

PerplexityBotAllowed

Perplexity-UserAllowed

Sitemaps

Declared discovery routes for crawlers and agents.

https://www.loraai.pro/sitemap.xml

# LoraAI Pro

> LoraAI Pro is a LoRA AI hub for discovering LoRA models, reviewing trigger words and prompts, generating LoRA-guided images and videos, and training custom LoRAs for repeatable characters, styles, products, and campaign assets.

LoraAI Pro focuses on the LoRA model lifecycle: model discovery, prompt and trigger-word review, compatible generation workflows, custom LoRA training, and practical education for creators and developers. The site is intended for safe, reviewable LoRA workflows and avoids publishing unreviewed model candidates directly.

Important notes:
- Public LoRA model pages are under `/loras` and `/loras/[slug]`.
- Candidate LoRA models imported from external hubs should be reviewed as drafts before publication.
- Generated images, uploaded references, model sources, and third-party model licenses must be checked before commercial use.
- Account, billing, admin, and API routes are not useful LLM context and should not be treated as public documentation.

## Detailed training reference

- [Full public product reference](https://www.loraai.pro/llms-full.txt): Trainer status, input requirements, output, compatible generators and credits from the application registry. Enabled status does not guarantee provider uptime.
- [Image training](https://www.loraai.pro/image-lora-training): Compare Qwen, FLUX, Z-Image and P-Image.
- [Qwen Image training](https://www.loraai.pro/qwen-image-lora-training): Qwen-specific image training and compatibility.
- [Video training](https://www.loraai.pro/video-lora-training): Compare still-image appearance training and video-clip training with Wan and LTX-2.

## Core Pages

- [Home](https://www.loraai.pro/): Overview of LoraAI Pro as a LoRA model, generator, and training hub.
- [LoRA Models Directory](https://www.loraai.pro/loras): Curated directory of LoRA models with base models, tags, prompts, trigger words, and compatible tools.
- [Pricing](https://www.loraai.pro/pricing): Credit and pricing information for image generation, video generation, and LoRA training workflows.
- [Showcases](https://www.loraai.pro/showcases): Public result gallery for generated AI images and LoRA-guided examples.

## LoRA Tools

- [Create](https://www.loraai.pro/create): Main creation workspace for AI image generation.
- [Flux LoRA Image Generator](https://www.loraai.pro/flux-lora-image-generator): Flux LoRA image generation workflow.
- [Flux Kontext LoRA](https://www.loraai.pro/flux-kontext-lora): Reference-guided Flux Kontext LoRA editing workflow.
- [Flux Dev LoRA Generator](https://www.loraai.pro/flux-dev-lora-generator): Flux Dev generation with custom LoRA paths.
- [LoRA Image to Image Generator](https://www.loraai.pro/lora-image-to-image-generator): Image-to-image workflow with LoRA style control.
- [Qwen Image LoRA](https://www.loraai.pro/qwen-image-lora): Qwen Image LoRA workflow for posters, packaging, and text-heavy visuals.
- [LoRA AI Video Generator](https://www.loraai.pro/lora-ai-video-generator): Text-to-video, image-to-video, and video-to-video workflows.
- [LoRA AI Image Upscaler](https://www.loraai.pro/lora-ai-image-upscaler): Image enhancement and detail recovery workflow.
- [Train Custom LoRA](https://www.loraai.pro/train-lora): Custom LoRA training workflow for characters, styles, products, and brand assets.

## Learning Resources

- [What Is LoRA](https://www.loraai.pro/what-is-lora): Explanation of LoRA and how it applies to AI image, video, and model workflows.
- [LoRA Prompts](https://www.loraai.pro/lora-prompts): Prompting guidance for LoRA image generation.
- [AI Resources](https://www.loraai.pro/ai-resources): Curated AI creation resources.
- [Blog](https://www.loraai.pro/blog): Articles and guides related to LoRA and AI generation.

## Practical guides

These guides include product configuration reviews, local validation evidence and evaluation plans. They do not present unperformed training or generation experiments as results.

- [Online LoRA training](https://www.loraai.pro/blog/how-to-train-a-lora-online): End-to-end workflow and configuration-backed trainer reference.
- [Dataset preparation](https://www.loraai.pro/blog/how-to-prepare-a-lora-dataset): Upload limits, readiness heuristics and seven local ZIP enumeration checks.
- [Trigger words](https://www.loraai.pro/blog/how-to-use-lora-trigger-words): Actual trigger and caption controls, troubleshooting and comparison templates.
- [Qwen training guide](https://www.loraai.pro/blog/qwen-image-lora-training-guide): Qwen input requirements, output routing and local option-validation evidence.
- [FLUX versus Qwen](https://www.loraai.pro/blog/flux-vs-qwen-lora-training): FLUX.1 Dev and Qwen workflow differences; no quality winner claimed.
- [Image counts](https://www.loraai.pro/blog/how-many-images-to-train-a-lora): Submission minimums versus information coverage.
- [Character consistency](https://www.loraai.pro/blog/how-to-make-a-consistent-ai-character): Identity criteria, routing and scene review.
- [Character LoRA versus reference images](https://www.loraai.pro/blog/character-lora-vs-reference-image): Preparation, reuse and a comparison protocol.
- [Consistent product photos](https://www.loraai.pro/blog/how-to-make-consistent-product-photos): Product version, shape and label acceptance criteria.
- [Wan appearance versus motion](https://www.loraai.pro/blog/wan-video-lora-appearance-vs-motion): Still and clip inputs, paired outputs and temporal review.
- [Enhancement versus upscaling](https://www.loraai.pro/blog/ai-image-enhancement-vs-upscaling): The actual reference-image re-rendering workflow and preservation checks.

## Use-Case Pages

- [LoRA Consistent Character Generator](https://www.loraai.pro/lora-consistent-character-generator): Character consistency workflow for repeated visual identity.
- [LoRA AI Influencer Generator](https://www.loraai.pro/lora-ai-influencer-generator): AI influencer identity and campaign image workflow.
- [Style LoRA Generator](https://www.loraai.pro/style-lora-generator): Reusable style LoRA workflow.
- [Product LoRA](https://www.loraai.pro/product-lora): Product image consistency and campaign workflow.
- [Anime LoRA Generator](https://www.loraai.pro/anime-lora-generator): Anime-style character, OC, mascot, and illustration workflow.
- [AI Fashion Model Generator](https://www.loraai.pro/ai-fashion-model-generator): Fashion model, lookbook, and campaign visual workflow.
- [Clothing LoRA](https://www.loraai.pro/clothing-lora): Clothing and apparel visual consistency workflow.
- [AI Video Character Consistency](https://www.loraai.pro/ai-video-character-consistency): Character consistency planning for AI video.

## Site Indexes

- [Sitemap](https://www.loraai.pro/sitemap.xml): Machine-readable list of indexable public URLs.
- [Robots](https://www.loraai.pro/robots.txt): Crawling rules for public and private routes.

## Optional

- [Privacy Policy](https://www.loraai.pro/privacy-policy): Privacy and data handling information.
- [Terms of Service](https://www.loraai.pro/terms-of-service): Usage terms for the site.

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