#llmsmap.me

Independent technical audit

teslasend.link

teslasend.link

Overall AI readiness score

A combined result across all audit signals.

96of 100Excellent
AI readiness audit: 8/1/2026Public technical data

About the site

Platform:
Next.js

Overall AI readiness assessment

How ready teslasend.link is for AI systems

96/100

TeslaSend was independently audited by llmsmap. teslasend.link currently scores 96/100 for AI readiness. The result combines AI-specific files, crawler policy, sitemap discovery, structured homepage data, and—when available—the mobile Google Lighthouse technical profile.

Audit context

llms.txt is accessible and contains 576 tokens. An expanded llms-full.txt is also available with 1,960 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 Organization, WebSite, WebApplication, FAQPage; 9 OpenGraph tags were found and markup completeness is 100%.

The mobile Lighthouse profile adds Performance 97/100, Accessibility 96/100, 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
  • Schema.org: Organization, WebSite
  • Complete social metadata
  • Strong Google agentic signals

Priority improvements

  1. 1Keep machine-readable files and markup aligned with future site changes.
llms.txt tokens576
llms-full.txt tokens1,960
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
97

Performance

96

Accessibility

100

Best Practices

100

Technical SEO

100

Agentic Browsing

What these results mean

The mobile page renders efficiently; its largest visible content block appeared in 2.6 s.

Accessibility scored 96/100, 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.

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

Reduce network delay

Improve server response time, remove unnecessary redirects and repeat downloads, and use compression, caching, and selective preconnect hints.

4

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.

FCP0.9 s

First content

LCP2.6 s

Main content

CLS0

Layout stability

TBT20 ms

Blocking time

SI0.9 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.
8/1/2026Lighthouse 13.4.1Mobile profile

AI readiness checks

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

llms.txt

File found and accessible

https://teslasend.link/llms.txt
llms-full.txt

Full version is available

https://teslasend.link/llms-full.txt
ai.txt

ai.txt file was not found

Sitemap in robots.txt1

1 sitemap found

Schema.org (JSON-LD)

Types: Organization, WebSite, WebApplication, FAQPage

OpenGraph100%

9 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.

Markup completeness: 100%
og:titleSend Links from Your Phone to Your Tesla Browser | TeslaSend
og:descriptionSend any web link from your phone to your Tesla browser in seconds. Free, no app needed, with fullscreen mode and link history. Model S, 3, X, Y, Cybertruck.
og:urlhttps://teslasend.link
og:site_nameTeslaSend
og:image:width1200
og:image:height630
og:image:altTeslaSend
og:typewebsite

Schema.org markup

Structured entities and properties exposed on the homepage.

Types found: 4 · Properties: 9
OrganizationWebSiteWebApplicationFAQPage
nameTeslaSend
urlhttps://teslasend.link
logohttps://teslasend.link/icon.png
sameAshttps://buymeacoffee.com/teslasend.link
emailsupport@teslasend.link
inLanguageen
publisher{"@id":"https://teslasend.link/#organization"}
descriptionSend any web link from your phone to your Tesla browser in seconds. Free, no app needed, with fullscreen mode and link history. Model S, 3, X, Y, Cybertruck.
alternateNameTesla Send Link
# TeslaSend

> TeslaSend is a free web app that sends any web link from your phone to your Tesla's built-in browser in seconds. No app to install, no account, no typing long URLs on the touchscreen. Open teslasend.link in the car, scan the QR code with your phone, and every link you send appears on the Tesla screen instantly. Works with Model S, Model 3, Model X, Model Y and Cybertruck.

Key capabilities:

- Send links from phone to Tesla by scanning a QR code to pair the devices
- Fullscreen browsing in the Tesla browser, hiding the address bar and toolbar (for websites you use while parked or charging)
- History of every link you send, saved in your Tesla
- Mobile web app you can add to your Home Screen and share to from any app
- One-time links that are automatically deleted when opened, and self-deleting links with an expiry time
- No account or contact details required to send links; random session IDs and link deletion

## Docs

- [Home page](https://teslasend.link): Overview, how it works and links to the Car App and Phone App
- [How to send links to Tesla](https://teslasend.link/how-to-send-links-to-tesla): Step-by-step guide for sending a link from phone to Tesla browser
- [Tesla browser fullscreen mode](https://teslasend.link/tesla-browser-fullscreen): How to open any website fullscreen and hide the Tesla browser toolbar
- [Security](https://teslasend.link/security): How TeslaSend protects privacy — no accounts, link deletion, no screen recording

## App

- [Car App](https://teslasend.link/app): Open in the Tesla browser — shows the QR code, the incoming link list and link history
- [Phone App](https://teslasend.link/mobile): Mobile web app to scan the QR code and send links, with fullscreen, one-time and expiry options

## Support

- Free to use, no ads; supported by voluntary community donations that cover the domain and hosting
- Donate: [Buy Me a Coffee](https://buymeacoffee.com/teslasend.link)
- Feedback: use the "Feedback" link in the site footer
- Support email: support@teslasend.link

## Optional

- [Privacy Policy](https://teslasend.link/privacy): Data usage and Google Analytics 4 information
- [Terms of Use](https://teslasend.link/terms): Terms governing use of the service

Not affiliated with Tesla, Inc. Tesla is a trademark of Tesla, Inc.
Share or continue the analysis
Share this audit
Discuss with AI
Added 8/1/2026

Similar sites in the directory

Sites with a close AI-readiness score — compare how they set up llms.txt and markup.

teslasend.link - AI readiness audit | llmsmap.me