#llmsmap.me

Independent technical audit

anirudhprmar.lol

anirudhprmar.lol

Overall AI readiness score

A combined result across all audit signals.

77of 100Excellent
AI readiness audit: 8/2/2026Public technical data

Overall AI readiness assessment

How ready anirudhprmar.lol is for AI systems

77/100

Anirudh Parmar (anirudhprmar.lol) received an AI-readiness score of 77/100 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 5 blocked AI crawlers, with 1 declared sitemap. Homepage markup completeness was 90%; Schema.org types included WebSite, Person and 10 OpenGraph tags were detected. Results reflect the public site response observed on 2026-08-02T00:43:32.085Z.

Audit context

llms.txt is accessible and contains 248 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. 6 of 11 tracked AI bots are not blocked, while 5 receive a prohibition. Declared sitemaps: 1. The homepage exposes Schema.org types WebSite, Person; 10 OpenGraph tags were found and markup completeness is 90%.

The mobile Lighthouse profile adds Performance 99/100, Accessibility 95/100, Best Practices 100/100, SEO 92/100, 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
  • Schema.org: WebSite, Person
  • Complete social metadata
  • Strong Google agentic signals

Priority improvements

  1. 1Add llms-full.txt for richer first-party context.
  2. 2Review the 5 explicit AI-bot blocks and keep only intentional restrictions.
llms.txt tokens248
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.

Mobile · Lighthouse
99

Performance

95

Accessibility

100

Best Practices

92

Technical SEO

100

Agentic Browsing

What these results mean

The mobile page renders efficiently; its largest visible content block appeared in 2.2 s.

Accessibility scored 95/100, Best Practices 100/100, and technical SEO 92/100. 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

LCP2.2 s

Main content

CLS0

Layout stability

TBT30 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.
8/2/2026Lighthouse 13.4.1Mobile profile

AI readiness checks

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

llms.txt

File found and accessible

https://anirudhprmar.lol/llms.txt
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)

Types: WebSite, Person

OpenGraph90%

10 OG tags found

AI bot access

Based on robots.txt analysis

GPTBotBlocked
OAI-SearchBotNot mentioned
ChatGPT-UserNot mentioned
Google-ExtendedBlocked
ClaudeBotBlocked
Claude-SearchBotNot mentioned
Claude-UserNot mentioned
BytespiderBlocked
CCBotBlocked
PerplexityBotNot mentioned
Perplexity-UserNot mentioned

Sitemaps

Declared discovery routes for crawlers and agents.

OpenGraph tags

Social preview metadata found on the homepage.

Markup completeness: 90%
og:titleAnirudh Parmar
og:descriptionAnirudh Parmar is an developer, designer, and creator building and shipping cool stuff.
og:urlhttps://anirudhprmar.lol
og:site_nameAnirudh Parmar
og:localeen_US
og:image:width1200
og:image:height630
og:image:altAnirudh Parmar
og:typewebsite

Schema.org markup

Structured entities and properties exposed on the homepage.

Types found: 2 · Properties: 6
WebSitePerson
nameAnirudh Parmar
urlhttps://anirudhprmar.lol
descriptionAnirudh Parmar is an developer, designer, and creator building and shipping cool stuff.
inLanguageen
imagehttps://anirudhprmar.lol/favicon/apple-icon.png
sameAshttps://x.com/anirudhprmar
# Anirudh Parmar

> Anirudh Parmar is a 21-year-old developer, designer, and creator who builds and ships cool stuff.

## About

Anirudh turns ideas into products. He is focused on building a portfolio of profitable products, learning in public, and sharing the ideas and lessons he picks up along the way. He codes, designs, creates content, and regularly ships new projects.

## Current focus

- Building and shipping products every week or two
- Exploring useful, profitable software products
- Writing about product building, distribution, messaging, and lessons from launching
- Growing as an entrepreneur and developer

## Writing

- [Blog](https://anirudhprmar.lol/blog): Ideas, learnings, and launch notes.

## Links and contact

- [Website](https://anirudhprmar.lol)
- [Projects](https://anirudhprmar.lol/lore)
- [X / Twitter](https://x.com/anirudhprmar)
- [Instagram](https://instagram.com/anirudhprmar)
- Email: [anirudhparmar2004@gmail.com](mailto:anirudhparmar2004@gmail.com)
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Added 8/2/2026
anirudhprmar.lol - AI readiness audit | llmsmap.me